Marin County LAFCo Web Mapping Application for exploring the various Marin County jurisdictional boundaries which are reviewed and approved by Marin County LAFCo.

This map contains information from sources within the county including cities / towns / agencies, external providers such as NWS, CalFire, PG&E, and intended primarily to provide situational awareness to the residents & visitors of Marin. This is especially the case during an incident or disaster. This map is embedded in Marin County's Public Emergency Portal's home page (https://emergency.marincounty.org/) and directly using the short link https://marinoes.org/mWhile this map is primarily intended to be used by the public, it may also be used by internal users. This map has a subset of what is available on the Internal SA / COP map. This map is an update using esri's new map viewer and went live in June '23.Content:Outside feature services provided provided by authoritative sources (i.e. NWS for weather & alerts, fire related information, PG&E for power outages, traffic)Internally provided esri data (i.e. evacuation zone boundaries & labels, dam inundation areas, tsunami inundation areas)Content pushed from WebEOC (i.e. public incident points & polygons, road closures, resource centers such as charging & warming centers, TEPs / temporary evacuation points, shelter sites, essential service providers such as pharmacies & grocery stores during periods of widespread disruption such as large power outages, service centers, school status)For any questions of comments, please contact Woody Baker-Cohn at OEM_GIS@MarinCounty.org

This hosted feature layer was clipped to the boundaries of Greater Farallones National Marine Sanctuary in order to show salt marsh habitat within the sanctuary. This data layer is included in the Salt Marsh and Seagrass Habitat within Greater Farallones National Marine Sanctuary webmap, which is part of the Blue Carbon in Marine Protected Areas story map. The Marin County fine scale vegetation map (v. 6/2/21) is an 82-class vegetation map of Marin County with 96,636 polygons. The fine scale vegetation map represents the state of the landscape in 2018 and adheres to the National Vegetation Classification System (NVC). The map was designed to be used at scales of 1:5,000 and smaller. The full datasheet for this product is available here: (https://vegmap.press/marin_vegmap_datasheet).A web map for online viewing of the Marin County Fine Scale Vegetation Map can be found here: (https://vegmap.press/marin_vegmap_webmap).A file geodatabase is available for download here: (https://vegmap.press/marin_vegmap). Layer symbology (without spatial data) for the file geodatabase is here: (https://vegmap.press/marin_vegmap_layer_file).Map class definitions, as well as a dichotomous key for the map classes, can be found in the Marin Fine Scale Vegetation Map Key (https://vegmap.press/mapping_key).A key to map class abbreviations is also available (https://vegmap.press/marin_vegmap_abbrevs).A layer package containing the same spatial data as this download, but with the symbology seen in the thumbnail above can be found here: (https://vegmap.press/marin_vegmap_layer_package). The symbology is also available as a layer file (without spatial data) here: (https://vegmap.press/marin_vegmap_layer_file)Fine Scale Vegetation Methods Overview:The fine scale vegetation map was created using semi-automated methods that include field work, computer-based machine learning, and manual aerial photo interpretation. The vegetation map was developed by first creating a lifeform map, an 27-class map that served as a foundation for the fine-scale map. The lifeform map was created using “expert systems” rulesets in Trimble Ecognition. These rulesets combine automated image segmentation (stand delineation) with object-based image classification techniques. In contrast with machine learning approaches, expert systems rulesets are developed heuristically based on the knowledge of experienced image analysts.  Key data sets used in the expert systems rulesets for lifeform included:  orthophotography (’18 and ’14), the 2019 LiDAR derived Canopy Height Model (CHM), and other LiDAR derived landscape metrics.After it was produced using Ecognition, the preliminary lifeform map product was manually edited by photo interpreters. Manual editing corrected errors where the automated methods produced incorrect results. Edits were made to correct two types of errors: 1) unsatisfactory polygon (stand) delineations and 2) incorrect polygon labels.The mapping team used the lifeform map as the foundation for the finer scale and more floristically detailed Fine Scale Vegetation map. For example, a single polygon mapped in the lifeform map as forest might be divided into four polygons in the in the fine scale map including redwood forest, Douglas-fir forest, Oregon white oak forest, and bay forest.The lifeform map was refined into the fine scale vegetation map using a semi-automated approach. The approach combines Ecognition segmentation, extensive field data collection, machine learning, manual editing, and expert review. Ecognition segmentation results in refinement and subdivision of the larger lifeform polygons. Field data collection results in a large number of training polygons labeled with their field-validated map class. Machine learning relies on the field collected data as training data and a stack of GIS datasets as predictor variables. The resulting model is used to create automated fine-scale labels countywide. Machine learning algorithms for this project included both Random Forests and Support Vector Machines (SVMs). Machine learning is followed by extensive manual editing, which is used to 1) edit segment (polygon) labels when they are incorrect and 2) edit segment (polygon) shape when necessary.The map classes in the fine scale vegetation map generally correspond to the alliance level of the National Vegetation Classification, but some map classes - especially riparian vegetation and herbaceous types - correspond to higher levels of the hierarchy (such as group or macrogroup).Related Datasets and Resources:Lifeform Products – Two lifeform products are available, the lifeform map (https://vegmap.press/marin_lifeform_map) and the forest lifeform map (https://vegmap.press/marin_forest_lifeform_map); both are derived from this Fine-Scale Vegetation map. These products are simplifications of the vegetation map, with a fraction of the total map classes. The lifeform product provides more detail for agriculture and built up classes; the forest lifeform product provides more detail for forest and natural lands.Vector Tile Service - The Marin Fine Scale Vegetation Map vector tile service (https://vegmap.press/marin_vegmap_vector_tiles_solid_colors) is intended to be used in web maps and GIS software packages. It should be used in conjunction with the vector tile service that provides labels for each polygon (https://vegmap.press/marin_vegmap_vector_tile_labels)Impervious Surfaces Map – The impervious surfaces map for all of Marin County will be released in summer 2021.Reports:A number of detailed documents will be published in summer and fall of 2021 related to the fine scale vegetation map. These include the following:Detailed descriptions for alliances, with accompanying stand tablesA floristic key for Marin County (more detailed then the mapping key)A report detailing fine scale vegetation mapping methods for Marin, accompanied by an accuracy assessment of the map

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr These data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.

** REPLACED BY Public Info Map NEW / https://experience.arcgis.com/experience/1a338cb350e14ea68570df3cd20f4036 **This tool contains information from sources within the county including cities / towns / agencies, external providers such as NWS, CalFire, PG&E, and intended primarily to provide situational awareness to the residents & visitors of Marin. This is especially the case during an incident or disaster. This tool is embedded in Marin County's Public Emergency Portal's home page (https://emergency.marincounty.org/) and directly using the short link https://marinoes.org/mWhile this tool is primarily intended to be used by the public, it may also be used by internal users. This tool has a subset of what is available on the Internal SA / COP map. This tool is an update to the original tool and uses esri's Experience Builder as the application and a map which is an update using esri's new map viewer and went live in June '23.Content:Outside feature services provided provided by authoritative sources (i.e. NWS for weather & alerts, fire related information, PG&E for power outages, traffic)Internally provided esri data (i.e. evacuation zone boundaries & labels, dam inundation areas, tsunami inundation areas)Content pushed from WebEOC (i.e. public incident points & polygons, road closures, resource centers such as charging & warming centers, TEPs / temporary evacuation points, shelter sites, essential service providers such as pharmacies & grocery stores during periods of widespread disruption such as large power outages, service centers, school status)For any questions of comments, please contact Woody Baker-Cohn at OEM_GIS@MarinCounty.org

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Awarded by Prefectural Decree of 15 December 2003, for a period of 30 years. It corresponds to the intervention zone of the Parc Marin throughout the maritime territory of the Blue Coast located between the point of Corbières (Marseille) and the Cove des Laurons (Martigues). The Parc Marin de la Côte Bleue has been a protected area since 1983. Located in Bouches-du-Rhône between the industrialised basins of Marseille and Fos-sur-Mer. The Marin Park, whose objectives were based on those of the Regional Natural Parks, was managed until 2000 by an association which became a mixed union, a public establishment.

Seabed habitat map (EUNIS classification system) performed by Andromede Oceanologie & Stareso within the framework of CARTHAM ("cartographie des habitats marins") project coordinated by the French Biodiversity Agency (Agence fran├ºaise pour la biodiversit├®, AFB). Digital data sources: sonar (2010), bathymetry (2007), orthos (2007), historical data (1997) Ground truth data sources (2011): diving, sea-viewer Map confidence rated by Ifremer : 86%

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