Search for geospatial/GIS data

Find GIS data held at MIT and other institutions

10,000+ results returned

  1. Title: Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018

    Contributors:

    Summary: This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands. California. Department of Forestry and Fire Protection. (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. California. Department of Forestry and Fire Protection. Available at: https://purl.stanford.edu/nw945zv2996 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  2. Title: Parks, San Francisco, California, 2015

    Contributors:

    Summary: Parks within the extent of San Francisco; park boundaries have been updated to show 2015 features.

    View full record

  3. Title: Map of Boston and part of its suburbs : showing public recreation grounds, burial grounds and certain other public properties generally free from buildings

    Contributors:

    Summary: 88 x 69 centimeters Scale 1:15,840 City Maps

    View full record

  4. Title: New York City Land Cover, 2010

    Contributors:

    Summary: New York City Land Cover, 2010 is a high resolution landcover dataset for New York City. This is the 3ft version of the high-resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery.

    View full record

  5. Title: Park Boundaries, Santa Clara County, California, 2015

    Contributors:

    Summary: This polygon dataset shows the boundaries of all existing parklands within Santa Clara County, California in 2015. Dataset includes spatial information and other qualitiative attributes.

    View full record

  6. Title: Points of Interest (Parks), Santa Clara County, California, 2015

    Contributors:

    Summary: This point dataset shows Points of Interest within lands operated by Santa Clara County Parks and Recreation in Santa Clara County, California. The dataset is complete but has not been reviewed.

    View full record

  7. Title: Trails Waukesha County, Wisconsin 2020

    Contributors:

    Summary: This polygon data layer represents trails for Waukesha County, Wisconsin in 2020. The dataset was originally published by Waukesha County Dept of Parks and Land Use - Parks Divisionin 2020.

    View full record

  8. Title: California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012

    Contributors:

    Summary: This line shapefile represents sections of the California Coastal Trail in the San Mateo County Sea Level Rise Vulnerability Assessment Project area. Data from the National Park Service (Golden Gate National Recreation Area and Point Reyes National Seashore), the California Department of Parks and Recreation (Coastal State Park Units), the California Coastal Commission (SB908), and Coastwalk (2008 alignment) were used to create this dataset. Starting with the SB908 and Coastwalk 2008 the alignment of the trail was reviewed by staff at the Conservancy for accuracy and to make sure that newly completed projects were included. Once the route was reviewed data was used from NPS, CDPR, and 1m images to digitize the new alignment. Where the CCT was already established by NPS or CDPR their alignment for the route was followed. This alignment of the CCT was created to update the SB908 (2002) alignment and the Coastwalk (2008) alignments to include new sections of the CCT. The new data is also intended to be significantly more accurate.Goal 1: Update the alignment (2012)Goal 2: Make the data usable at larger scales in web mapping applications.Goal 3: Only display the existing route available to the public. (No planned, proposed, or missing sections)This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. County of San Mateo Information Services Department, U.S. National Park Service, California Department of Parks and Recreation, and California Coastal Commission. (2019). California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/vf492kn2050. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  9. Title: Natural Communities, Monterey County, California, 2015

    Contributors:

    Summary: This polygon shapefile depicts natural communities (NCs) in Monterey County, California. Natural communities have been considered part of the Natural Heritage conservation triad, along with plants and animals of conservation significance, since the state inception of the Natural Heritage program in 1979. Since 1999, the California Department of Fish and Game’s Vegetation Classification and Mapping Program (VegCAMP) has undertaken the classification and mapping of vegetation throughout the state and also has assumed the role of standardizing vegetation nomenclature for California to comply with the National Vegetation Classification System (NVCS). Many vegetation types included in the current list match well with the existing CNDDB NC elements, which were based on Holland (1986). Examples include Valley Wildrye Grassland, Buck Brush Chaparral, Elephant Tree Woodland, Central California Sycamore Alluvial Woodland, and Mendocino Pygmy Cypress Forest. However, others such as Northern Claypan Vernal Pool, Southern Maritime Chaparral, and Serpentine Bunchgrass Grassland are not easily translated. The problem exists because there is a complex relationship between CNDDB NC elements and today’s view of vegetation classification — in some cases, there is a one-to-one relationship, but in most there is a many-to-one or many-to-many relationship. Furthermore, in most cases no recent surveys have been made of old CNDDB NC occurrences to ascertain the proper identity based on today’s classification standards. We think it imprudent to remove these elements from the CNDDB before assessing them and reclassifying them in terms of the currently accepted state and national standards for vegetation classification. This layer is part of a collection of GIS data for Monterey County in California. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Monterey County, California. (2015). Natural Communities, Monterey County, California, 2015. Monterey County, Ca. Available at: http://purl.stanford.edu/vm013rt8354. California Natural Community Codes (CaCodes): The California classification is currently referenced using a series of unique codes called CaCodes. Eventually, all valid vegetation types will be replaced using a nationally standardized coding system. Until that time, CaCodes are the standard reference. CTT Codes: Holland types originally tracked by the CNDDB are referenced with a code beginning with "CTT." These are provided as "legacy information" with the understanding that Holland CTT codes and community types are no longer supported by DFG. Instead, all new information on terrestrial natural communities should use the State’s standard nomenclature as provided in the current Natural Communities List. Hierarchy Codes: The hierarchy coding system is described and used by The Ecological Society of America’s Vegetation Hierarchy Browser. Rarity and Global and State Ranks: One purpose of the vegetation classification is to assist in determining the level of rarity and imperilment of vegetation types. Ranking of alliances according to their degree of imperilment (as measured by rarity, trends, and threats) follows NatureServe’s Heritage Methodology, in which all alliances are listed with a G (global) and S (state) rank. For alliances with State ranks of S1-S3, all associations within them are also considered to be highly imperiled. A question mark (?) denotes an inexact numeric rank due to insufficient samples over the full expected range of the type, but existing information points to this rank. We have not provided the G and S rank of associations in the September 2010 version of this classification. However, associations currently designated as being of S3 or rarer are indicated with an asterisk (*) located to the left of their CaCode. Holland types that may encompass, either in whole or part, rare alliances or associations are likewise asterisked. Ranking is an ongoing process and we expect to provide association level ranks for all of the S3 or rarer entities in the future. Please note that semi-natural stands are not ranked, as these are defined and strongly dominated by non-native species.

    View full record

  10. Title: Kelp Canopy: Southern California, 2011

    Contributors:

    Summary: This polygon shapefile depicts the 2011 aerial kelp survey that was created from Digital Multi-Spectral Camera image files. The data was collected and processed by Ocean Imaging under contract by the Naval Air Systems Command (NAVAIR). This mosaicked multi-spectral imagery targeted giant kelp beds along the Naval Air Systems Command (NAVAIR) Point Mugu Sea Range. The area from Santa Monica Pier, Los Angeles county to Pt. Magu, Ventura county were not photographed. Some of the outer portions of kelp beds were cut off due to inadequate overlap in aerial surveys and these areas are noted in Grid Code 2. The imagery was collected on November 22 and December 07-08, 2011 from altitudes between 10,000 to 12,500 feet. Surveys were planned to coincide with periods of minimal change between high and low tides to avoid strong tidal induced currents. This dataset is complete, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. The dataset is used to assess the extent of kelp resources along the Southern California coast (Point Loma to two miles north of Gaviota Beach). The dataset was collected and created with the same camera system and processing software as the 2008 survey. Surface and subsurface kelp canopy imagery was collected under the same classification scheme. The user is cautioned to look for areas which appear truncated. The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: 1) Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of survey photography. Seasonal variability may account for differences in surveys, which may not reflect a change in the bed's extent, productivity, or harvest level. 2) Statistical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. 3) Survey methods may not be consistent. Some method of calibration between the methods needs to be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. 4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Photo coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether photographs were acquired for an area of interest. California Department of Fish and Wildlife Marine Resources Region. (2012). Kelp Canopy: Southern California, 2011. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/pq743qn0702. Please cite the Originators in any reference to the data. NAVAIR and the California Department of Fish and Wildlife must be credited with the distribution of these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  11. Title: Kelp Canopy: California, 2009

    Contributors:

    Summary: The data for this polygon shapefile was collected and created with the same camera system and processing software as the 2008 survey. Surface and subsurface kelp canopy imagery was collected and processed with separate classification schemes. The shapefile was created from Digital Multi-Spectral Camera image files. The data was collected and processed by Ocean Imaging under contract by the Resources Legacy Fund Foundation (RLFF) for the Marine Protected Areas Monitoring Enterprise. This dataset represents the 2009 aerial kelp survey. The imagery was collected on October 01, 2009 from an altitude of 12,500 feet. Surveys were planned to coincide with periods of minimal change between high and low tides to avoid strong tidal induced currents. This coverage is complete, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. This dataset was developed for the Marine Protected Areas Monitoring Enterprise to assess the extent of kelp canopy resources along the North Central California coast (Pigeon Point to Alder Creek). California Department of Fish and Wildlife Marine Resources Region. (2010). Kelp Canopy: California, 2009. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/zd395qv1073. Please cite the Originators in any reference to the data. For the north central data: The Resources Legacy Fund Foundation (contract), the Marine Protected Areas Monitoring Enterprise (coordination), Ocean Imaging (data collection and processing), The California Department of Fish and Game (database management). For the Santa Barbara and San Nicolas Islands data: NAVAIR (contract), Ocean Imaging (data collection and processing, The California Department of Fish and Game (database management). For the southern California mainland section: The Central and Region 9 Kelp Consortiums (contract) , MBC Applied Environmental Sciences (data collection and processing), The California Department of Fish and Game (database management). This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  12. Title: Roads of Del Norte County, California, 2004

    Contributors:

    Summary: This polygon shapefile represents roads of Del Norte County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Del Norte County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/wv172hf7300. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  13. Title: Roads of Humboldt County, California, 2004

    Contributors:

    Summary: This polygon shapefile represents roads of Humboldt County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Humboldt County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/bx537rg1185. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  14. Title: Roads of San Mateo County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of San Mateo County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of San Mateo County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/dh346dn8894. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  15. Title: Roads of Santa Barbara County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Santa Barbara County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Santa Barbara County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/nq119rd8852. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  16. Title: Roads of Santa Cruz County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Santa Cruz County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Santa Cruz County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/hw838wq2187. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  17. Title: Roads of Marin County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Marin County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Marin County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/xh249rq9779. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  18. Title: Roads of Orange County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Orange County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Orange County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/yc715rt0721. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  19. Title: Roads of Sonoma County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Sonoma County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Sonoma County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/vr209jz2099. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

  20. Title: Roads of Ventura County, California, 2004

    Contributors:

    Summary: This line shapefile represents roads of Ventura County, California. This layer is part of a collection of data created by the California Department of Fish & Game. These data are intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.. California Department of Fish and Game. Marine Resources Region. (2004). Roads of Ventura County, California, 2004. California Department of Fish and Game. Available at: http://purl.stanford.edu/yy154zf8415. Converted to California Teale Albers Projection by the California Department of Fish & Game, Marine Region GIS None. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

    View full record

Need help?

Ask GIS