The Unpublished Digital Surficial Geologic-GIS Map of Bent's Old Fort National Historic Site and Vicinity, Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (bofs_surficial.gdb), a 10.1 ArcMap (.mxd) map document (bofs_surficial.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (beol_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (beol_geology_gis_readme.pdf). Please read the beol_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Colorado State University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (bofs_surficial_metadata.txt or bofs_surficial_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Bent's Old Fort National Historic Site.

Open the Data Resource: https://floodpotential.erams.com/ The Flood Potential Portal is a map-based decision support system for enhancing the understanding and quantification of riverine flood hazards in the United States through use of the observational (streamgage) record. The Mapping and Cross-Section Analysis modules are provided for exploring a variety of characteristics, for professionals to strengthen their understanding of flood variability in space and time. The Watershed Analysis module provides for the prediction of expected large flood magnitudes and flood frequency relationships at ungaged locations, including adjustments for such non-stationarity mechanisms as climate change. The Streamgage Analysis module performs standard logPearson flood-frequency analysis of streamgage data. Large floods are the focus of the Flood Potential Portal, for infrastructure design and floodplain management.

This data was downloaded by Tara Atwood, Intern, Geospatial Centroid, on 3/19/2021 from INEGI. This data is part of an effort to provide base-level spatial data for the Todos Santos region via ArcGIS Hub for CSU researchers and others doing work in this area. The original name for this layer is gm_2020_MX_009004_t. The link to the original source is here: http://en.www.inegi.org.mx/app/biblioteca/ficha.html?upc=998880004124

This feature layer depicts the various Conservation System units within the State of Alaska. It includes the boundaries of the following CSU types:National Wildlife Refuge and WildernessNational Park and PreserveNational MonumentNational Historical ParkNational Wild RiverNational Forest and WildernessThe boundaries of National Wildlife Refuges and National Wildlife Refuge Wilderness were compiled and are maintained by the U.S. Fish & Wildlife Service, Region 7, Division of Realty. All other CSU boundaries were compiled and are maintained by the National Park Service and the U.S. Forest Service. Refer to the NPS and USFS GIS data websites for the current CSU boundaries that are maintained by those agencies.

Geodatabase feature class containing a map of vegetation within the Great Valley Ecoregion produced by the Geographical Information Center (GIC) at CSU Chico. The dataset combines both new mapping and the previously completed Central Valley Riparian and Sacramento Valley and the Southern San Joaquin Valley vegetation maps. Vegetation polygons were manually digitized as interpreted using the National Agricultural Inventory Program's (NAIP) 2009 (Central Valley Riparian and Sacramento Valley map), 2012 (Southern San Joaquin Valley map) and 2014 (balance of San Joaquin Valley) aerial imagery at a scale of 1:2000. The minimum mapping unit (mmu) for natural vegetation is 1.0 acre, with a minimum average width of 10 meters. The mmu for agricultural and urban polygons is 10 acres. Vegetation is attributed to the Group and Alliance level of the state and national vegetation hierarchy. In some cases, polygons were attributed only to Group or Macrogroup level when the Alliance could not be determined from photointerpretation. The map classification is based on the key to vegetation types in Buck-Diaz et al. 2012. The Central Valley and Sacramento Valley maps were assessed for Accuracy with an average users’ accuracy of 90.2 percent and users’ accuracy of 89 percent. The San Joaquin Valley portion of the map was field verified by the mappers but was not otherwise assessed for accuracy (see Supplemental Information below for details). More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Remotely-sensed imagery provides the foundation for mapping vegetation types and other land cover classes. Imagery taken by the GeoEye-1 satellite/sensor was acquired from LandInfo Worldwide Mapping, LLC. The product was delivered as bundled 50 cm panchromatic and 2 meter 4-band multispectral (R, G, B, and NIR) images. The imagery has a positional accuracy of <3 m. Specifications for the GeoEye acquisition included the following: Total area for new collection of 372 square kilometers, 10% or less cloud cover , 0-20 off-nadir angle guarantee, Acquisition dates between late May and late June, 2011 Imagery satisfying the requirements was successfully acquired for the BICA project area on June 15, 2011 and delivered to CSU in July 2011. Each image was delivered as a geo-referenced product mosaicked as a single scene/image. We created a 50 cm resolution pan-sharpened set of multispectral bands to use for interpretation of vegetation. The acquisition provided 4-band imagery during the peak growing season. Additional imagery supplementing interpretation included 30 cm true-color Google Earth/Bing imagery imported to ArcGIS using Arc2Earth™ software and older true-color imagery viewed using the Google Earth online viewer.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=815 Webpage with information and links to data files for download

An ArcGIS Experience Builder app used by internal and external stakeholders to monitor active capital projects.

CSU Geographic Information Center at Chico (GIC), with assistance from the Vegetation Classification and Mapping Program at CDFW (VegCAMP) created a fine-scale vegetation and land use map of portions of the Modoc Plateau in California. This map covers approximately 1,945,674 acres in eastern Lassen and southern Modoc Counties. It was produced using a base of true-color 2016 one-meter National Agricultural Imagery Program (NAIP) imagery. Polygons were assessed for vegetation types, percent covers, clearing disturbance, invasive plant cover and other attributes. Average accuracy was 84 percent.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=812 Webpage with information and links to data files for download

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=809 Webpage with information and links to data files for download

description:

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=...). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.

No Abstract Available

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=...). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.

No Abstract Available

USDA/NRCS - National Geospatial Center of Excellence, USDA Service Center Agencies. Clipped to the Cache la Poudre watershed by Nick Vogel, intern at The Geospatial Centroid, Colorado State University, 04/08/2020

Mexico cities with populations greater than 5,000 within the Rio Grande River Basin. The map contains the geographical identification of the 192 245 inhabited localities, as a result of the 2010 Population and Housing Census. Each registry includes the values of length, latitude, altitude and total population.This shapefile was created by selecting all the localities with populations greater than 5,000 within the boundary of the RGB watershed, as delinated in the UC-Davis geodatabase (located here: L:\Interns_stuff\Kristin\GIS\From_Pablo\170311_RGB_geodatabase\Hydrology_and_Climate\RGB_watershed). This shapefile was created by Kristin Davis, CSU Geospatial Centroid intern, on November 27, 2018 for the Rio Grande Basin Environmental Justice project.

A collection of trails from COTREX, Open Street Maps, and features collected from NR453 students, clipped to the USGS Quad Extent SFCLP. The area officially encompasses USGS quadrangles 70571 (Kinnikinic), 39022 (Rustic), 3785 (Big Narrows), 72607 (Comanche Peak), 35356 (Pingree Park), and 10938 (Crystal Mountain). This data was compiled as a project to establish an official database for CSU Mountain Campus to aid in information sharing to CSU students, faculty, and visitors.

Mean temperature of the Rio Grande River watershed from 1970 to 2000, during the month of September.This is WorldClim 2.0 Beta version 1 (June 2016) downloaded from http://worldclim.orgThey represent average monthly climate data for 1970-2000. Data have been clipped to the Rio Grande Hydrologic Unit

This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). These data were developed as part of a Group on Earth Observations (GEO) initiative called GEO Ecosystems (GEO ECO), and is associated with a GEO ECO task to develop global coastal ecosystems data. The data allows for the visualization and query of any stretch of coastline on Earth, except for Antarctica. The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.The 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.See this video for an animation showing ECU coverage and classification.Reference:Sayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth's coastlines. In Wright, D. and C. Harder (eds), GIS For Science, Volume 3: Maps for Saving the Planet. Esri Press, Redlands, California.Sayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography – A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.Contacts:Roger Sayre, U.S. Geological Survey

CSU Chicos Geographical Information Center (GIC), with assistance from CDFWs Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation and land use map of portions of the Modoc Plateau in California. The map follows the National Vegetation Mapping Classification standards as well A Manual of California Vegetation and covers the eco-region subsections Devils Garden and Adin Mountains. This map covers approximately 855,998 acres in Lassen and Modoc Counties. It was produced using a base of true-color 2018 one-meter National Agricultural Imagery Program (NAIP) imagery. Polygons were assessed for vegetation types, percent covers, clearing disturbance, invasive plant cover and other attributes. Overall fuzzy map accuracy was 81.6%, but individual vegetation types varied in their accuracy. Please see the mapping report and the contingency tables for details to determine confidence in individual types.For detailed information please refer to the following reports: Boul, R., T. Keeler-Wolf, J. Ratchford, T. Haynes, D. Hickson, R. Yacoub, B. Harbert, J. Evens. 2021. Classification of the Vegetation of Modoc and Lassen Counties, California. Vegetation Classification and Mapping Program, California Department of Fish and Wildlife, Sacramento, CA ; https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=183030Kreb, Brian and Geographical Information Center, California State University, Chico. Mapping Standards, Field Data Collection, and Accuracy Assessment for Vegetation Mapping in Modoc and Lassen Counties, California. Califoria Department of Fish and Wildlife; 2/1/2021. https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=189051

An area with a concentration of rare environmental resources that represents one of the greatest opportunities for preserving specific aspects of Boulder County’s natural heritage. These areas have been identified and ranked by the CSU Natural Heritage Program.