This collections contains 161 1992 | 1995 1-meter black & white digital orthorectified images of multiple non-contiguous locations in Idaho. These data were acquired from July 26, 1992 to September 12, 1995, These data are sourced from the U.S. Geological Survey and commonly referred to as a DOQ (Digital Orthophoto Quadrangle).Some DOQs in this collection are made up of source images from just the most recent year. But, some DOQs in this collection were created from source images from more then one year. Regardless, every DOQ in this collection will be made up of at least one source image from the most recent year.Refer to the .hdr file associated with each DOQ for specific image dates. The .hdr file contains a list of all source image dates (SOURCE_IMAGE_DATE) for a DOQ. The source data for this service are available for download from USGS EarthExplorer.Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

These maps are georeferenced versions of the maps produced by The University Museum, University of Pennsylvania, project at Tikal, Guatemala and published as Tikal Report 11. These georeferenced maps are intended for use with GIS (Geographic Information System) software. The maps should be useful for archaeologists, tourists and managers of Tikal National Park. This map set consists of eleven georeferenced maps. The set includes two versions of the overview map of the central sixteen square kilometers of Tikal—the "Ruins of Tikal" map. One version includes the map border. The other version is without the border. The nine remaining maps cover the inner nine square kilometers in detail, without borders. The maps were georeferenced as part of a University of Cincinnati project in Tikal, under permit of the Guatemalan government. The UC Project georeferenced the maps using land survey methods. We created transformation equations based on a point of beginning, a reference direction and a map scale. Directions and distances on the ground were transformed into UTM projected directions and distances. The point of beginning was the Petty Company benchmark shown on the "Camp Quad" map. In 2010 we determined the location with a GPS receiver. We accessed both the horizontal and vertical accuracy of the georeferenced maps. Based on 96 test points spread throughout the area of the maps, we found the median horizontal accuracy of the maps, compared to GPS, to be 5.6 meters. Based on 103 test points spread throughout the area of the maps, we found the median vertical accuracy of the maps, compared to a NASA radar altimetry mission, to be 2.1 meters. The borders of the maps were removed so the set of maps will “seamlessly” fit together in GIS. See Tikal Report No.11 for versions of the maps with borders (one version of the georeferenced "Ruins of Tikal" map includes the border). The georeferencing files are optimized for use in ArcGIS version 9.2 and beyond. The PDF file of TR11 from which these maps were extracted was made with the generous assistance of the University Museum Library and the Tikal Archives. Details of the georeferencing and accuracy check are in a report to the Dirección Patrimonio Cultural y Natural de Guatemala: Christopher Carr, Eric Weaver, Nicholas Dunning, and Vernon Scarborough (2011) EVALUACIÓN DE LA EXACTITUD DE LOS MAPAS DE TIKAL DE LA UNIVERSIDAD DE PENNSYLVANIA, POR GPS Y ESTACIÓN TOTAL (Accuracy assessment of the Penn Project maps of Tikal, by GPS and Total Station). In Lentz, D., C. Ramos, N. Dunning, V. Scarborough and L. Grazioso. PROYECTO DE SILVICULTURA Y MANEJO DE AGUAS DE LOS ANTIGUOS MAYAS DE TIKAL. Additional details of the strategies the Penn Project used to produce these high quality maps, the georeferencing methodology, and the accuracy check process are forthcoming in a book chapter. The book is on the UC project at Tikal, to be published by Cambridge University Press. The chapter is Carr, Weaver, Dunning and Scarborough. Bringing the University of Pennsylvania maps of Tikal into the era of electronic GIS. In Lentz, Dunning, Scarborough (eds). Tikal and Maya Ecology: Water, Landscapes and Resilience. Permission to publish these maps must be secured from: The University of Pennsylvania Museum of Archaeology and Anthropology, 3260 South Street, Philadelphia, PA 19104, Tel: (215) 898-4050, Fax: (215) 573-9369, Email: publications@pennmuseum.org. .................................................................................................................. Estos mapas son versiones georeferenciados de los mapas producidos por el Museo Universitario de la Universidad de Pennsylvania, Proyecto Tikal, Guatemala y publicado como Informe de Tikal No. 11. La intensión de estos mapas georeferenciados es para ser utilizados con el Sistema de Información Geográfica (SIG). Los mapas deben ser útiles para los arqueólogos, los turistas y los administradores del Parque Nacional Tikal. Este conjunto de mapas consta de once mapas georreferenciados. El juego incluye dos versiones del mapa general de los 16 km2 centrales del mapa de las "Ruins of Tikal". Una versión del mapa incluye sus encuadrados. La otra versión esta sin los encuadrados. Los nueve mapas restantes cubren los mapas interiores de 9 km2 en detalle, sin encuadrados. Los mapas fueron georeferenciados como parte de un proyecto de la Universidad de Cincinnati en Tikal, con permiso del Ministerio de Cultura y Deportes del Gobierno de Guatemala. El Proyecto de la Universidad de Cincinnati georeferenció los mapas utilizando métodos de reconocimiento de campo. Creamos ecuaciones de transformación basado en un punto de inicio, una dirección de referencia y un mapa a escala. Direcciones y distancias en el campo se transformaron en direcciones proyectadas UTM y distancias. El punto de inicio fue el punto de refere... Visit https://dataone.org/datasets/doi%3A10.6067%3AXCV82B8ZW9_meta%24v%3D1377891225229 for complete metadata about this dataset.

These maps are georeferenced versions of the maps produced by The University Museum, University of Pennsylvania, project at Tikal, Guatemala and published as Tikal Report 11. These georeferenced maps are intended for use with GIS (Geographic Information System) software. The maps should be useful for archaeologists, tourists and managers of Tikal National Park. This map set consists of eleven georeferenced maps. The set includes two versions of the overview map of the central sixteen square kilometers of Tikal—the "Ruins of Tikal" map. One version includes the map border. The other version is without the border. The nine remaining maps cover the inner nine square kilometers in detail, without borders. The maps were georeferenced as part of a University of Cincinnati project in Tikal, under permit of the Guatemalan government. The UC Project georeferenced the maps using land survey methods. We created transformation equations based on a point of beginning, a reference direction and a map scale. Directions and distances on the ground were transformed into UTM projected directions and distances. The point of beginning was the Petty Company benchmark shown on the "Camp Quad" map. In 2010 we determined the location with a GPS receiver. We accessed both the horizontal and vertical accuracy of the georeferenced maps. Based on 96 test points spread throughout the area of the maps, we found the median horizontal accuracy of the maps, compared to GPS, to be 5.6 meters. Based on 103 test points spread throughout the area of the maps, we found the median vertical accuracy of the maps, compared to a NASA radar altimetry mission, to be 2.1 meters. The borders of the maps were removed so the set of maps will “seamlessly” fit together in GIS. See Tikal Report No.11 for versions of the maps with borders (one version of the georeferenced "Ruins of Tikal" map includes the border). The georeferencing files are optimized for use in ArcGIS version 9.2 and beyond. The PDF file of TR11 from which these maps were extracted was made with the generous assistance of the University Museum Library and the Tikal Archives. Details of the georeferencing and accuracy check are in a report to the Dirección Patrimonio Cultural y Natural de Guatemala: Christopher Carr, Eric Weaver, Nicholas Dunning, and Vernon Scarborough (2011) EVALUACIÓN DE LA EXACTITUD DE LOS MAPAS DE TIKAL DE LA UNIVERSIDAD DE PENNSYLVANIA, POR GPS Y ESTACIÓN TOTAL (Accuracy assessment of the Penn Project maps of Tikal, by GPS and Total Station). In Lentz, D., C. Ramos, N. Dunning, V. Scarborough and L. Grazioso. PROYECTO DE SILVICULTURA Y MANEJO DE AGUAS DE LOS ANTIGUOS MAYAS DE TIKAL. Additional details of the strategies the Penn Project used to produce these high quality maps, the georeferencing methodology, and the accuracy check process are forthcoming in a book chapter. The book is on the UC project at Tikal, to be published by Cambridge University Press. The chapter is Carr, Weaver, Dunning and Scarborough. Bringing the University of Pennsylvania maps of Tikal into the era of electronic GIS. In Lentz, Dunning, Scarborough (eds). Tikal and Maya Ecology: Water, Landscapes and Resilience. Permission to publish these maps must be secured from: The University of Pennsylvania Museum of Archaeology and Anthropology, 3260 South Street, Philadelphia, PA 19104, Tel: (215) 898-4050, Fax: (215) 573-9369, Email: publications@pennmuseum.org. .................................................................................................................. Estos mapas son versiones georeferenciados de los mapas producidos por el Museo Universitario de la Universidad de Pennsylvania, Proyecto Tikal, Guatemala y publicado como Informe de Tikal No. 11. La intensión de estos mapas georeferenciados es para ser utilizados con el Sistema de Información Geográfica (SIG). Los mapas deben ser útiles para los arqueólogos, los turistas y los administradores del Parque Nacional Tikal. Este conjunto de mapas consta de once mapas georreferenciados. El juego incluye dos versiones del mapa general de los 16 km2 centrales del mapa de las "Ruins of Tikal". Una versión del mapa incluye sus encuadrados. La otra versión esta sin los encuadrados. Los nueve mapas restantes cubren los mapas interiores de 9 km2 en detalle, sin encuadrados. Los mapas fueron georeferenciados como parte de un proyecto de la Universidad de Cincinnati en Tikal, con permiso del Ministerio de Cultura y Deportes del Gobierno de Guatemala. El Proyecto de la Universidad de Cincinnati georeferenció los mapas utilizando métodos de reconocimiento de campo. Creamos ecuaciones de transformación basado en un punto de inicio, una dirección de referencia y un mapa a escala. Direcciones y distancias en el campo se transformaron en direcciones proyectadas UTM y distancias. El punto de inicio fue el punto de refere... Visit https://dataone.org/datasets/doi%3A10.6067%3AXCV8XK8GDP_meta%24v%3D1377891145355 for complete metadata about this dataset.

These maps are georeferenced versions of the maps produced by The University Museum, University of Pennsylvania, project at Tikal, Guatemala and published as Tikal Report 11. These georeferenced maps are intended for use with GIS (Geographic Information System) software. The maps should be useful for archaeologists, tourists and managers of Tikal National Park. This map set consists of eleven georeferenced maps. The set includes two versions of the overview map of the central sixteen square kilometers of Tikal—the "Ruins of Tikal" map. One version includes the map border. The other version is without the border. The nine remaining maps cover the inner nine square kilometers in detail, without borders. The maps were georeferenced as part of a University of Cincinnati project in Tikal, under permit of the Guatemalan government. The UC Project georeferenced the maps using land survey methods. We created transformation equations based on a point of beginning, a reference direction and a map scale. Directions and distances on the ground were transformed into UTM projected directions and distances. The point of beginning was the Petty Company benchmark shown on the "Camp Quad" map. In 2010 we determined the location with a GPS receiver. We accessed both the horizontal and vertical accuracy of the georeferenced maps. Based on 96 test points spread throughout the area of the maps, we found the median horizontal accuracy of the maps, compared to GPS, to be 5.6 meters. Based on 103 test points spread throughout the area of the maps, we found the median vertical accuracy of the maps, compared to a NASA radar altimetry mission, to be 2.1 meters. The borders of the maps were removed so the set of maps will “seamlessly” fit together in GIS. See Tikal Report No.11 for versions of the maps with borders (one version of the georeferenced "Ruins of Tikal" map includes the border). The georeferencing files are optimized for use in ArcGIS version 9.2 and beyond. The PDF file of TR11 from which these maps were extracted was made with the generous assistance of the University Museum Library and the Tikal Archives. Details of the georeferencing and accuracy check are in a report to the Dirección Patrimonio Cultural y Natural de Guatemala: Christopher Carr, Eric Weaver, Nicholas Dunning, and Vernon Scarborough (2011) EVALUACIÓN DE LA EXACTITUD DE LOS MAPAS DE TIKAL DE LA UNIVERSIDAD DE PENNSYLVANIA, POR GPS Y ESTACIÓN TOTAL (Accuracy assessment of the Penn Project maps of Tikal, by GPS and Total Station). In Lentz, D., C. Ramos, N. Dunning, V. Scarborough and L. Grazioso. PROYECTO DE SILVICULTURA Y MANEJO DE AGUAS DE LOS ANTIGUOS MAYAS DE TIKAL. Additional details of the strategies the Penn Project used to produce these high quality maps, the georeferencing methodology, and the accuracy check process are forthcoming in a book chapter. The book is on the UC project at Tikal, to be published by Cambridge University Press. The chapter is Carr, Weaver, Dunning and Scarborough. Bringing the University of Pennsylvania maps of Tikal into the era of electronic GIS. In Lentz, Dunning, Scarborough (eds). Tikal and Maya Ecology: Water, Landscapes and Resilience. Permission to publish these maps must be secured from: The University of Pennsylvania Museum of Archaeology and Anthropology, 3260 South Street, Philadelphia, PA 19104, Tel: (215) 898-4050, Fax: (215) 573-9369, Email: publications@pennmuseum.org. .................................................................................................................. Estos mapas son versiones georeferenciados de los mapas producidos por el Museo Universitario de la Universidad de Pennsylvania, Proyecto Tikal, Guatemala y publicado como Informe de Tikal No. 11. La intensión de estos mapas georeferenciados es para ser utilizados con el Sistema de Información Geográfica (SIG). Los mapas deben ser útiles para los arqueólogos, los turistas y los administradores del Parque Nacional Tikal. Este conjunto de mapas consta de once mapas georreferenciados. El juego incluye dos versiones del mapa general de los 16 km2 centrales del mapa de las "Ruins of Tikal". Una versión del mapa incluye sus encuadrados. La otra versión esta sin los encuadrados. Los nueve mapas restantes cubren los mapas interiores de 9 km2 en detalle, sin encuadrados. Los mapas fueron georeferenciados como parte de un proyecto de la Universidad de Cincinnati en Tikal, con permiso del Ministerio de Cultura y Deportes del Gobierno de Guatemala. El Proyecto de la Universidad de Cincinnati georeferenció los mapas utilizando métodos de reconocimiento de campo. Creamos ecuaciones de transformación basado en un punto de inicio, una dirección de referencia y un mapa a escala. Direcciones y distancias en el campo se transformaron en direcciones proyectadas UTM y distancias. El punto de inicio fue el punto de refere... Visit https://dataone.org/datasets/doi%3A10.6067%3AXCV89W0GCG_meta%24v%3D1377891443892 for complete metadata about this dataset.

In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006.

A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.

FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property.

Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies.

The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.

Additional information can be found here.

Updated Frequency: 10 minutes

Status	Color Hex Value	Color Name	Color	Description
NORMAL	#FFFFFF	White		No active public safety incidents.
EVACUATION WARNING	#E5C447	Yellow		Potential threat to life and/or property. Those who require additional time to evacuate, and those with pets and livestock should leave now.
EVACUATION ORDER	#D37072	Red		Immediate threat to life. This is a lawful order to leave now. The area is lawfully closed to public access.

Inventory of Counties whose Evacuation Order information is publicly shared by Cal OES through the California Active Evacuation Zones feature service.

These maps are georeferenced versions of the maps produced by The University Museum, University of Pennsylvania, project at Tikal, Guatemala and published as Tikal Report 11. These georeferenced maps are intended for use with GIS (Geographic Information System) software. The maps should be useful for archaeologists, tourists and managers of Tikal National Park. This map set consists of eleven georeferenced maps. The set includes two versions of the overview map of the central sixteen square kilometers of Tikal—the "Ruins of Tikal" map. One version includes the map border. The other version is without the border. The nine remaining maps cover the inner nine square kilometers in detail, without borders. The maps were georeferenced as part of a University of Cincinnati project in Tikal, under permit of the Guatemalan government. The UC Project georeferenced the maps using land survey methods. We created transformation equations based on a point of beginning, a reference direction and a map scale. Directions and distances on the ground were transformed into UTM projected directions and distances. The point of beginning was the Petty Company benchmark shown on the "Camp Quad" map. In 2010 we determined the location with a GPS receiver. We accessed both the horizontal and vertical accuracy of the georeferenced maps. Based on 96 test points spread throughout the area of the maps, we found the median horizontal accuracy of the maps, compared to GPS, to be 5.6 meters. Based on 103 test points spread throughout the area of the maps, we found the median vertical accuracy of the maps, compared to a NASA radar altimetry mission, to be 2.1 meters. The borders of the maps were removed so the set of maps will “seamlessly” fit together in GIS. See Tikal Report No.11 for versions of the maps with borders (one version of the georeferenced "Ruins of Tikal" map includes the border). The georeferencing files are optimized for use in ArcGIS version 9.2 and beyond. The PDF file of TR11 from which these maps were extracted was made with the generous assistance of the University Museum Library and the Tikal Archives. Details of the georeferencing and accuracy check are in a report to the Dirección Patrimonio Cultural y Natural de Guatemala: Christopher Carr, Eric Weaver, Nicholas Dunning, and Vernon Scarborough (2011) EVALUACIÓN DE LA EXACTITUD DE LOS MAPAS DE TIKAL DE LA UNIVERSIDAD DE PENNSYLVANIA, POR GPS Y ESTACIÓN TOTAL (Accuracy assessment of the Penn Project maps of Tikal, by GPS and Total Station). In Lentz, D., C. Ramos, N. Dunning, V. Scarborough and L. Grazioso. PROYECTO DE SILVICULTURA Y MANEJO DE AGUAS DE LOS ANTIGUOS MAYAS DE TIKAL. Additional details of the strategies the Penn Project used to produce these high quality maps, the georeferencing methodology, and the accuracy check process are forthcoming in a book chapter. The book is on the UC project at Tikal, to be published by Cambridge University Press. The chapter is Carr, Weaver, Dunning and Scarborough. Bringing the University of Pennsylvania maps of Tikal into the era of electronic GIS. In Lentz, Dunning, Scarborough (eds). Tikal and Maya Ecology: Water, Landscapes and Resilience. Permission to publish these maps must be secured from: The University of Pennsylvania Museum of Archaeology and Anthropology, 3260 South Street, Philadelphia, PA 19104, Tel: (215) 898-4050, Fax: (215) 573-9369, Email: publications@pennmuseum.org. .................................................................................................................. Estos mapas son versiones georeferenciados de los mapas producidos por el Museo Universitario de la Universidad de Pennsylvania, Proyecto Tikal, Guatemala y publicado como Informe de Tikal No. 11. La intensión de estos mapas georeferenciados es para ser utilizados con el Sistema de Información Geográfica (SIG). Los mapas deben ser útiles para los arqueólogos, los turistas y los administradores del Parque Nacional Tikal. Este conjunto de mapas consta de once mapas georreferenciados. El juego incluye dos versiones del mapa general de los 16 km2 centrales del mapa de las "Ruins of Tikal". Una versión del mapa incluye sus encuadrados. La otra versión esta sin los encuadrados. Los nueve mapas restantes cubren los mapas interiores de 9 km2 en detalle, sin encuadrados. Los mapas fueron georeferenciados como parte de un proyecto de la Universidad de Cincinnati en Tikal, con permiso del Ministerio de Cultura y Deportes del Gobierno de Guatemala. El Proyecto de la Universidad de Cincinnati georeferenció los mapas utilizando métodos de reconocimiento de campo. Creamos ecuaciones de transformación basado en un punto de inicio, una dirección de referencia y un mapa a escala. Direcciones y distancias en el campo se transformaron en direcciones proyectadas UTM y distancias. El punto de inicio fue el punto de refere... Visit https://dataone.org/datasets/doi%3A10.6067%3AXCV8DN45XF_meta%24v%3D1377896033604 for complete metadata about this dataset.

The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the National Interagency Fire Center ArcGIS Online Organization (The NIFC Org), WFIGS provides both internal and public facing data, accessible in a variety of formats.

      <table border='0' cellpadding='0' cellspacing='0' style='border-collapse:collapse; width:500pt;' width='449'><tbody><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Incident Name (Polygon)</td>
      <td style='border-left:none; width:184pt;' width='245'>The Incident Name from the source polygon.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Feature Category</td>
      <td style='border-left:none; width:184pt;' width='245'>Type of wildland fire perimeter set for the source polygon.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Map Method</td>
      <td style='border-left:none; width:184pt;' width='245'>Controlled vocabulary to define how the source polygon was derived. Map Method may help define data quality.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>GIS Acres</td>
      <td style='border-left:none; width:184pt;' width='245'>User-calculated acreage on the source polygon.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Polygon Create Date</td>
      <td style='border-left:none; width:184pt;' width='245'>System field. Time stamp for the source polygon feature creation.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Polygon Modified Date</td>
      <td style='border-left:none; width:184pt;' width='245'>System field. Time stamp for the most recent edit to the source polygon feature.<br />
      </td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Polygon Collection Date Time</td>
      <td style='border-left:none; width:184pt;' width='245'>Date time for the source polygon feature collection.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Acres Auto Calculated</td>
      <td style='border-left:none; width:184pt;' width='245'>Automated calculation of the source polygon acreage.</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>Polygon Source</td>
      <td style='border-left:none; width:184pt;' width='245'>Data source of the perimeter geometry.<br />{Year} NIFS: Annual National Incident Feature Service<br />FFP: Final Fire Perimeter Service (Certified Perimeters)</td>
    </tr><tr height='17' style='height:12.75pt;'>
      <td height='17' style='height:12.75pt; width:153pt;' width='204'>ABCD Misc</td>
      <td style='border-left:none; width:184pt;' width='245'>A FireCode 

used by USDA FS to track and compile cost information for emergency initial attack fire suppression expenditures. for A, B, C & D size class fires on FS lands. ADS Permission State Indicates the permission hierarchy that is currently being applied when a system utilizes the UpdateIncident operation. IRWIN Archived On A date set by IRWIN that indicates when an incident's data has met the rules defined for the record to become part of the historical fire records rather than an operational incident record. The value will be set the current date/time if any of the following criteria are met:
1. ContainmentDataTime or ControlDateTime or FireOutDateTime or ModifiedOnDateTime > 12 months from the current DateTime
2. FinalFireReportDate is not null and ADSPermissionState is 'certified'. Calculated Acres A measure of acres calculated (i.e., infrared) from a geospatial perimeter of a fire. More specifically, the number of acres within the current perimeter of a specific, individual incident, including unburned and unburnable islands. The minimum size must be 0.1. Containment Date Time The date and time a wildfire was declared contained. Control Date Time The date and time a wildfire was declared under control. Created By System ArcGIS Server Username of system that created the IRWIN Incident record. IRWIN Created On Date Time Date/time that the IRWIN Incident record was created. IRWIN Daily Acres A measure of acres reported for a fire. More specifically, the number of acres within the current perimeter of a specific, individual incident, including unburned and unburnable islands. The minimum size must be

This dataset represents the areas the Southern California continental shelf for which no data was collected by PS Associates of Cardiff, California (1987) to determine substreate type (exposed rock or sediment). The dataset is derived from a map series of seven adjacent but descrete maps illustrating the absence of information on seafloor sediment and rock.

The purpose of this project was to create digital, GIS format versions of the Southern California continental shelf seafloor substrate maps originally produced by PS Associates of Cardiff, California for the Minerals Management Service in Reston, Verginia.

The original data was presented in hard copy format and depicted areas of "rock outcrop, hard-ground, or less than 1 meter of sediment overlaying." In areas where no rock was identified, we designated this as "sediment". Note that this is liberal interpretation of the original map data. A more conservative and accurate interpretation involved using "no data" maps which indicated the areas in which no information on substrate type was gathered. Please see the "no_data" dataset that is part of this series.

Original map title: Isopach map of the post-Wisconsin sediment thickness data sources. California Outer Continental Shelf Archeaological Resource Study from Morro Bay to the Mexican Border. Prepared by P.S. Associates, Contract number 14-12-0001-30272, May 1, 1987. Map scale was 1:125,000. Used maps 1B, 2B, 3B, 4B, 5B.

MRGP NewsIf you already have an ArcGIS named user, join the MRGP Group. Doing so allows you complete the permit requirements under your organization's umbrella. As a group member you get access to the all the MRGP items without having to log-in and log-out. If you don’t have an ArcGIS member account please contact Chad McGann (MRGP Program Lead) at 802-636-7239 or your Regional Planning Commission’s Transportation Planner. April 9, 2025. Conditional logic in webform for the newly published Open Drainage Survey was not calculating properly leading to some records with "Undetermined" status and priority. Records have been rescored and survey was republished with corrective logic. Field App version not impacted.March 11, 2025. The Road Erosion Inventory Survey123 questions for Open Drainage Roads are being streamlined to make assessments faster. Coming April 1st, the survey will be changed to only ask if there is erosion depending on if the corresponding practice type is failing. This aims at using erosion as an indicator to measure the success of each of the four Open Drainage road elements to handle stormwater: crown, berm, drainage, turnout.March 29, 2023. For MRGP permitting, Lyndonville Village (GEOID 5041950) has merged with Lyndonville Town (GEOID 5000541725). 121 segments and 14 outlets have been updated to reflect the administrative change. December 8, 2023. The Open Drainage Road Inventory survey has been updated for the 2024 field season. We added and modified a few notes for clarification and corrected an issue with users submitting incomplete surveys. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update, and execute it, but we've experienced select-one questions with duplicate entries.November 29, 2023. The Closed Drainage Road Inventory survey has been updated for the 2024 field season. There's a new outlet status option called "Not accessible" and conditional follow-up question. This has been added to support MS4 requirements. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update and execute it for you but we've experienced select-one questions with duplicate entries. Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans, current status for MRGP segments and outlets and second cycle progress. The Reporter is a great way to submit work completed to meet the MRGP standards. MRGP Fieldworker SolutionStep 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Field Maps and Survey123. ArcGIS Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory.• You can download ArcGIS Fields Maps and Survey123 from the Google Play Store.• You can download ArcGIS Field Maps and Survey123 from Apple Store.Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, Please contact your Regional Planning Commission’s Transportation Planner or Chad McGann (MRGP Program Lead) at 802-636-7239.Open Field Maps, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUsing your location, highlighted in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

Step 6: Repeat!Go back to the ArcGIS Field Maps and select the next segment for inventory and repeat steps 1-5.

If you have question related to inventory protocol reach out to Chad McGann, MRGP Program Lead, at chad.mcgann@vermont.gov, 802-636-7396.If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

How do I update a survey when a new one is available?While the Survey123 app will notify you and update it for you, we've experienced some select-one questions having duplicate choices. It's a best practice to delete the old survey and download the new one. See this document for step-by-step instructions.I already have an ArcGIS member account with my organization, can I use it to complete MRGP inventories?Yes! The MRGP solution is shared within an ArcGIS Group that allows outside organizations. Click "join this group" and send an request to the ANR GIS team. This will allow you complete MRGP requirements for the REI and stay logged into your organization. Win-win situation for us both!AGOL Group: https://www.arcgis.com/home/group.html?id=027e1696b97a48c4bc50cbb931de992d#overviewThe location where I'm doing inventory does not have data coverage (LTE or 4G). What can I do?ArcGIS Field Maps allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/ScpQnenDp7wSurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.How do remove an offline area and create a new one? Check out this how-to document for instructions. Delete and Download Offline AreaWhere can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/search?q=mrgpHow do I use my own map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

Segments (lines):Update Road Segment StatusOutlets (points):Update Outlet Status

How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

Where can I view the Road Erosion Inventories completed with Survey123? Use the web map below to view second cycle inventories completed with Survey123. The first cycle inventories can be downloaded below. First cycle inventories are those collected 2018-2022.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2022 data collected with Survey123?Road Segments (lines) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_segments.zipOutlets (points) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_outlets.zipWhere can I download the 2019 data collected with Survey123?

Road Segments (lines) -

This file contains the digital vector boundaries for Counties, in England, as at May 2023.

RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development.

Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis.

Further metadata/references can be found here: http://gisweb.ciat.cgiar.org/RTBmaps/DataAvailability_RTBMaps.html

Explore reasons for European colonization in Africa and investigate effects of colonial-imposed borders. THE GEOINQUIRIES™ COLLECTION FOR WORLD HISTORYhttp://www.esri.com/geoinquiriesThe GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards. Activities include:· Cradles of Civilization· Silk Roads: Then and now· Medieval Europe: Invasions· The Crusades· Trade and the Black Death· Russian expansion to the sea· Early European exploration· The Reformation· The first European Industrial Revolution· Latin American independence· Age of Napoleon· Africa's bounty and borders· Post-WWI and The League of Nations· African independence

Cooperation since 1945Teachers, GeoMentors, and school administrators can learn more at http://www.esri.com/geoinquiries.

Displays data from CGDB.BLDG2012_PLGN. The layer will not display when zoomed out beyond 1,799.

This dataset is a modified version of the FWS developed data depicting “Highly Important Landscapes”, as outlined in Memorandum FWS/AES/058711 and provided to the Wildlife Habitat Spatial analysis Lab on October 29th 2014. Other names and acronyms used to refer to this dataset have included: Areas of Significance (AoSs - name of GIS data set provided by FWS), Strongholds (FWS), and Sagebrush Focal Areas (SFAs - BLM). The BLM will refer to these data as Sagebrush Focal Areas (SFAs). Data were provided as a series of ArcGIS map packages which, when extracted, contained several datasets each. Based on the recommendation of the FWS Geographer/Ecologist (email communication, see data originator for contact information) the dataset called “Outiline_AreasofSignificance” was utilized as the source for subsequent analysis and refinement. Metadata was not provided by the FWS for this dataset. For detailed information regarding the dataset’s creation refer to Memorandum FWS/AES/058711 or contact the FWS directly. Several operations and modifications were made to this source data, as outlined in the “Description” and “Process Step” sections of this metadata file. Generally: The source data was named by the Wildlife Habitat Spatial Analysis Lab to identify polygons as described (but not identified in the GIS) in the FWS memorandum. The Nevada/California EIS modified portions within their decision space in concert with local FWS personnel and provided the modified data back to the Wildlife Habitat Spatial Analysis Lab. Gaps around Nevada State borders, introduced by the NVCA edits, were then closed as was a large gap between the southern Idaho & southeast Oregon present in the original dataset. Features with an area below 40 acres were then identified and, based on FWS guidance, either removed or retained. Finally, guidance from BLM WO resulted in the removal of additional areas, primarily non-habitat with BLM surface or subsurface management authority. Data were then provided to each EIS for use in FEIS development. Based on guidance from WO, SFAs were to be limited to BLM decision space (surface/sub-surface management areas) within PHMA. Each EIS was asked to provide the limited SFA dataset back to the National Operations Center to ensure consistent representation and analysis. Returned SFA data, modified by each individual EIS, was then consolidated at the BLM’s National Operations Center retaining the three standardized fields contained in this dataset.Several Modifications from the original FWS dataset have been made. Below is a summary of each modification.1. The data as received from FWS: 16,514,163 acres & 1 record.2. Edited to name SFAs by Wildlife Habitat Spatial Analysis Lab:Upon receipt of the “Outiline_AreasofSignificance” dataset from the FWS, a copy was made and the one existing & unnamed record was exploded in an edit session within ArcMap. A text field, “AoS_Name”, was added. Using the maps provided with Memorandum FWS/AES/058711, polygons were manually selected and the “AoS_Name” field was calculated to match the names as illustrated. Once all polygons in the exploded dataset were appropriately named, the dataset was dissolved, resulting in one record representing each of the seven SFAs identified in the memorandum.3. The NVCA EIS made modifications in concert with local FWS staff. Metadata and detailed change descriptions were not returned with the modified data. Contact Leisa Wesch, GIS Specialist, BLM Nevada State Office, 775-861-6421, lwesch@blm.gov, for details.4. Once the data was returned to the Wildlife Habitat Spatial Analysis Lab from the NVCA EIS, gaps surrounding the State of NV were closed. These gaps were introduced by the NVCA edits, exacerbated by them, or existed in the data as provided by the FWS. The gap closing was performed in an edit session by either extending each polygon towards each other or by creating a new polygon, which covered the gap, and merging it with the existing features. In addition to the gaps around state boundaries, a large area between the S. Idaho and S.E. Oregon SFAs was filled in. To accomplish this, ADPP habitat (current as of January 2015) and BLM GSSP SMA data were used to create a new polygon representing PHMA and BLM management that connected the two existing SFAs.5. In an effort to simplify the FWS dataset, features whose areas were less than 40 acres were identified and FWS was consulted for guidance on possible removal. To do so, features from #4 above were exploded once again in an ArcMap edit session. Features whose areas were less than forty acres were selected and exported (770 total features). This dataset was provided to the FWS and then returned with specific guidance on inclusion/exclusion via email by Lara Juliusson (lara_juliusson@fws.gov). The specific guidance was:a. Remove all features whose area is less than 10 acresb. Remove features identified as slivers (the thinness ratio was calculated and slivers identified by Lara Juliusson according to https://tereshenkov.wordpress.com/2014/04/08/fighting-sliver-polygons-in-arcgis-thinness-ratio/) and whose area was less than 20 acres.c. Remove features with areas less than 20 acres NOT identified as slivers and NOT adjacent to other features.d. Keep the remainder of features identified as less than 40 acres.To accomplish “a” and “b”, above, a simple selection was applied to the dataset representing features less than 40 acres. The select by location tool was used, set to select identical, to select these features from the dataset created in step 4 above. The records count was confirmed as matching between the two data sets and then these features were deleted. To accomplish “c” above, a field (“AdjacentSH”, added by FWS but not calculated) was calculated to identify features touching or intersecting other features. A series of selections was used: first to select records 6. Based on direction from the BLM Washington Office, the portion of the Upper Missouri River Breaks National Monument (UMRBNM) that was included in the FWS SFA dataset was removed. The BLM NOC GSSP NLCS dataset was used to erase these areas from #5 above. Resulting sliver polygons were also removed and geometry was repaired.7. In addition to removing UMRBNM, the BLM Washington Office also directed the removal of Non-ADPP habitat within the SFAs, on BLM managed lands, falling outside of Designated Wilderness’ & Wilderness Study Areas. An exception was the retention of the Donkey Hills ACEC and adjacent BLM lands. The BLM NOC GSSP NLCS datasets were used in conjunction with a dataset containing all ADPP habitat, BLM SMA and BLM sub-surface management unioned into one file to identify and delete these areas.8. The resulting dataset, after steps 2 – 8 above were completed, was dissolved to the SFA name field yielding this feature class with one record per SFA area.9. Data were provided to each EIS for use in FEIS allocation decision data development.10. Data were subset to BLM decision space (surface/sub-surface) within PHMA by each EIS and returned to the NOC.11. Due to variations in field names and values, three standardized fields were created and calculated by the NOC:a. SFA Name – The name of the SFA.b. Subsurface – Binary “Yes” or “No” to indicated federal subsurface estate.c. SMA – Represents BLM, USFS, other federal and non-federal surface management 12. The consolidated data (with standardized field names and values) were dissolved on the three fields illustrated above and geometry was repaired, resulting in this dataset.

State boundaries with political limit - boundaries extending into the ocean. The State Boundary with Detailed Shorelines database was created using TIGER/LINE 2011 shapefile data gathered from ESRI's Geography Network. The individual county shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. OST-R/BTS Hydrographic data was integrated to create detailed shorelines. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.