Links to access GAP/LANDFIRE National Terrestrial Ecosystems 2011 Data, Metadata and Web Services. It was improved by reclassifying combinations that included pixels by NLCD as shrubland with low intensity fires in LANDFIRE disturbance data, within a subset of the HUCs representing the Pitch Pine Barrens region. The Hawaii Gap Project conducted supervised classification of the Landsat data and object based classification of high resolution imagery and for some classes (Gon et al. Download data for the GAP/LANDFIRE National Terrestrial Ecosystems 2011 dataset by State, Territory, or Download by Landscape Conservation Cooperative. Sci., XL-a 245-252, 2014. The combination dataset allowed each analyst to visualize the distribution of the pixels within the un-assigned combinations and evaluate the potential source of difference between the two dates. The data set describes historical land use changes over a 300-year historical period (1700-1990). 12 p. Accessed On line August 2016: http://www.fs.fed.us/global/iitf/pubs/iitf-gtr32.pdf. Below are links to data download, metadata, and web services for the GAP/LANDFIRE National Terrestrial Ecosystems 2011 dataset. These were generated within the CCI MRLC initiative using Sentinel-2 data at 20m over the whole Africa and at 10m over Mesoamerica. For example, the mapping of the Northern Atlantic Coastal Plain Pitch Pine Barrens had been previously under-mapped in the 2001 GAP Land Cover. Permalink. CART modeling techniques were used to map the majority of the Ecological systems in the Southwest and Northwest regional projects, as well as for LANDFIRE. 2006. Dynamic land cover maps include transitions of land cover classes over time and hence captures land cover changes. The different types of land cover can be managed or used quite differently. Additional vegetation data was collected from Federal, State, and Non-Governmental agencies and Ecological Systems labels were assigned to their existing plots. forests, grasslands, croplands, lakes, wetlands. Earth cover is the expression used by ecologist Frederick Edward Clements that has its closest modern equivalent being vegetation. Land cover is the observed biophysical cover on the Earth's surface including trees, shrubs, grasses, soils, exposed rocks and water bodies, as well as anthropogenic elements such as plantations, crops and built environments. 2003). Mit CORINE Land Cover (CLC) steht ein staatenübergreifendes Konzept und System für die Gewinnung und Auswertung dieser Informationen und deren Änderung zur Verfügung. 2015), and 2010 LANDFIRE disturbance data (Nelson et al. Updates to the LANDFIRE’s Existing Vegetation layer for Alaska have been implemented by the LANDFIRE Team. Imagery that was used for the Midwest, Northeast and Alaska had been selected and preprocessed by the LANDFIRE Team at EROS. Geographic Names Information System (GNIS), Mapping, Remote Sensing, and Geospatial Data, GAP/LANDFIRE National Terrestrial Ecosystems 2011 Data, Metadata, http://www.asprs.org/a/publications/pers/2015journals/PERS_May_2015/HTML/index.html#346/z, Photogrammetric Engineering & Remote Sensing, http://www.fs.fed.us/global/iitf/pubs/iitf-gtr32.pdf, http://doi.org/10.5194/isprsarchives-XL-1-245-2014. Decision tree classifiers are well suited for land cover mapping as they do not require normally distributed training data, they can accommodate a wide variety of predictor variables, and they have demonstrated improved accuracies over the use of traditional classifiers (Hansen et al. 2003), while Puerto Rico and Hawaii’s map legend are based on island specific classification systems (Gon et al. Classification trees: An alternative to traditional land cover classifiers. Learn more about NLCD 2011 >>. This database is operationally available for most areas … Arch. Martinuzzi, S., W. A. Gould, O. M. Ramos-González. Mit Hilfe dieses Datensatzes, der für die Stichjahre 1990, 2000, 2006 und 2012 verfügbar ist, können Landschaftsveränderungen in dieser Zeit detektiert werden und sind europaweit … Photogrammetric Engineering and Remote Sensing, v. 81, no. The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous U.S., Alaska, Hawaii, and Puerto Rico. Land use involves an element of human activity and reflects human decisions about how land will be used. By comparing land cover data and maps over a period of time, coastal managers can document land use trends and changes. Mechanical disturbances include forest clear-cutting, earthmoving, scraping, chaining, reservoir drawdown, and other similar human-induced changes. http://earthzine.org/2013/09/15/landfire-2010-updated-data-to-support-wi... https://www.sciencebase.gov/catalog/item/56d496eee4b015c306f17a42, GAP/LANDFIRE National Terrestrial Ecosystems 2011 Metadata. To accommodate these users, we have cross-walked the ecological system level data to the six highest levels of the National Vegetation Classification System (USNVC). Therefore, the 2001 and 2011 land cover maps should not be used to quantify change directly. As such, there are cases where the Ecological System land cover class may have remained “unchanged” but the general land cover class had changed between 2001 and 2011. Statistical tables with aggregated results by land cover and land use at geographical level. Table 1. CCI LAND COVER - S2 PROTOTYPE LAND COVER 20M MAP OF AFRICA 2016; ESA - CCI LAND COVER S2 PROTOTYPE LAND COVER MAP AT 10M OF MESOAMERICA 2018 For example, pixels comprising a combination of 2001 GAP non-forest, 2011 NLCD deciduous forest, and no disturbance, the recoding would be driven by the neighborhood majority of candidate pixels for deciduous forest types in the geoarea. Available at https://www.sciencebase.gov/catalog/item/56d496eee4b015c306f17a42 . The 2011 NLCD label was accepted into the GAP/LF 2011 Ecosystems update layer for row crop, pasture/hay, water, and the four developed land cover classes without further investigation. This information is important for decision makers, planners, researchers, private interests and others: U.S. Geological Survey Gap Analysis Program, 20160513, GAP/LANDFIRE National Terrestrial Ecosystems 2011: U.S. Geological Survey, https://doi.org/10.5066/F7ZS2TM0. Int. To see change over time, land cover maps for several different years are needed. Rep. IITF-GRT-39. Land cover can be determined by analyzing satellite and aerial imagery. Corine means 'coordination of information on the environment' and it was a prototype project working on many different environmental issues. Remote sensing data recorded over a period of time allows the observation of land cover dynamics. 10% of the world is covered by glaciers, and a further 19% is barren land – deserts, dry salt flats, beaches, sand dunes, and exposed rocks. 1. Nelson, K. J., J. Connot, B. Peterson, J. J. Picotte. LUCAS — Land Use and Cover Area frame Survey — aims to gather harmonised data on land use/cover through direct observations by land surveyors on the ground. Ecological systems are defined as “groups of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates and/or environmental gradients” (Comer et al. There were unlabeled pixel combinations that persisted after the proximity assignment step. File Type: Color Grayscale; 1.0 degrees: 360 x 180 download: 0.5 degrees: 720 x 360 download: 0.25 degrees: 1440 x 720 download: 0.1 degrees: 3600 x 1800 download: CSV for Excel older than 2007 download; Get Data. 1. 2011. Land Use and Land Cover The data is presented as a percentage share of the total grid-cell extent for a 5' latitude by 5' longitude grid-cell. The models predicting the land cover distribution for the regional projects used field data collected by gap personnel specifically for the project and vegetation data collected for other projects to instruct the model. Projected data include three time periods (2020s, 2050s, and 2080s) and two climate scenarios (Representative Concentration Pathways [RCP] 4.5 and … Again, pattern and extent of each of the mapped classes was visualized and compared against the 2001 Gap Land Cover and the reference imagery. USDA-NASS, Washington, DC. 2 International Journal of Remote Sensing 17(5): 1075-1081. Puerto Rico’s data set includes 70 unique vegetation and land use classes. The 2001 GAP class label was maintained if it matched the NLCD general land cover class. 829-840(12). Click on a pin on the map to see more information. The GAP/LANDFIRE National Terrestrial Ecosystems data set includes detailed vegetation and land cover patterns for the continental United States. There are not very many lulc datasets because a)satellite data acquisition is usually very expensive, and b)the classification process is very labor intensive. The NVC levels provide the user with a variety of options allowing the choice of making a map of the Continental U.S. with eleven classes at the NVC Class level to 583 classes at the Ecological system level. While the ecological system concept emphasizes existing dominant vegetation types, it also incorporates physical components such as landform position, substrates, hydrology, and climate. Access web services for the GAP/LANDFIRE National Terrestrial Ecosystems 2011 data set. Choose one of … However, there are limitations to the data that users should keep in mind. Visual interpretation of aerial photography, digital orthophoto quads, or other remotely sensed imagery was also used to generate training data when sufficient information could be obtained to make and Ecological system determination. For example, inland Northwest combinations of a forest type in the 2001 GAP map, shrub in the NLCD 2011 map that had been burned according to the 2010 LANDFIRE disturbance data were assigned to the class Recently Burned Forest in the 2011 GAP/LF 2011 Ecosystems update. CLC uses a Minimum Mapping Unit (MMU) of 25 ha for areal phenomena and a minimum width of 100 m for linear phenomena. Land classifications include: Perennial Cropland, Annual Cropland, Cultivated... other. In Puerto Rico a cloud free mosaic of Landsat 7 ETM+ imagery was compiled for the project (Martinuzzi et al. Testing against historical data is an important step for validating integrated models of global environmental change. 2006). After completion of the 2001 land cover, biennial updates have been done using a disturbance database to identify areas of change. This repository holds both the frontend web-application and backend server that make up our "Land Cover Mapping" tool.. Project setup instructions. In the Midwestern geoareas the National Agricultural Statistics Service Cropland Data Layer (2011) was used to recode the Modified/Managed Southern Tall Grassland from the 2001 Gap Land Cover Pasture/Hay for pixels where the CDL had mapped them as Grassland/Pasture or Other Hay/Non Alfalfa. Studying Canada’s Land Cover from Space. It identifies 33 mainland land cover classes (35 classes once the offshore Chatham Islands are included). Learn More about LANDFIRE 2012. Land covers include grass, asphalt, trees, bare ground, water, etc. Despite the data challenges, many planners HAVE to have land use data for their projects. Note that the data files are in ascii format. to other Ecological Systems. 1 This leaves what we call ‘habitable land’. While most MPO/COG data is free, you may have to pay for some land use data as in th… O… All data layers contain unsigned 8-bit values and the valid values range from 0-100, representing the consensus prevalence in percentage. Rio Piedras, Pr. USDA, Forest Service, International Institute of Tropical Forestery. In Hawai’I it was necessary to supplement the MRLC imagery in order to deal with cloud cover issues in the standard datasets (Gon et al. Lowry, J. H, Jr., R. D. Ramsey, K. Boykin, D. Bradford, P. Comer, S. Falzarano, W. Kepner, J. Kirby, L. Langs, J. Prior-Magee, G. Manis, L. O’Brien, T. Sajwaj, K. A. Thomas, W. Rieth, S. Schrader, D. Schrupp, K. Schulz, B. Thompson, C. Velasquez, C. Wallace, E. Waller and B. Wolk. 2011 Additional Data – Hydrologic Unit Codes [HUCS]. Land Cover information is the result of vectorization of raster thematic data originating from... other. Southwest Regional Gap Analysis Project: Final Report on Land Cover Mapping Methods, RS/GIS Laboratory, Utah State University, Logan, Utah. Because of these similarities, the modeling process used to create the land cover data has difficulty differentiating between these types of systems and a significant amount of confusion may occur. Land accounts fit the bill, describing how land resource stocks change over time. With this information, managers can evaluate past management decisions as well as gain insight into the possible effects of their current decisions before they are implemented. Based on the interpretation of satellite imagery, CLC provides national scale maps of landcover and landcover change on a six year basis for thirty nine countries in Europe. The GAP/LANDFIRE National Terrestrial Ecosystems data attempts to map as accurately as possible the fine vegetative details of the nation’s vegetation. IEEE Earthzine. This layer contains several land classifications from GeoBase 250K Land Cover, Circa 2000 - Vector. DOI: https://doi.org/10.14358/PERS.70.7.829. Co-written by Aaron Herman. This level of thematic detail makes possible the construction of wildlife habitat distribution models, and the construction of complicated hydrology and fire dynamics models, and many other applications. Data Set Information: Contains training and testing data for classifying a high resolution aerial image into 9 types of urban land cover. The different types of land cover can be managed or used quite differently. An area that contained the same vegetation in 2001 and 2011, but was incorrectly mapped in 2001 would show up as “changed.”. 2006). Published Dec 02, 2020. High resolution imagery from Google Earth or ArcGIS base maps was used as the reference imagery to assign the updated 2011 cover class. The data are provided as a 30 m by 30 m raster. The LANDFIRE Program has an extensive national dataset of existing vegetation data in the LANDFIRE Reference Database (LFRDB) which has been used to support mapping. It is important to keep in mind that this dataset represents an update and not a change detection. Land use cannot be determined from satellite imagery. Users are advised to read this metadata record carefully for additional details related to the GAP/LANDFIRE National Terrestrial Ecosystems 2011 data set. http://doi.org/10.5194/isprsarchives-XL-1-245-2014.). GAP/LF 2011 Ecosystems for the Conterminous U.S. is an update of the National Gap Analysis Program Land Cover Data - Version 2.2. Some Ecological Systems have spectral signatures, and occur at similar elevations, aspects etc. I would start searching for land use data at the local Metropolitan Planning Organization or Council of Government(aka MPO & COGs). Decision trees use a binary partitioning algorithm to successively split a multidimensional “cloud” of explanatory data into increasingly homogenous subsets. CORINE Land Cover – Europaweit harmonisierte Landbedeckungs- und Landnutzungsdaten. The NRI uses this classification to account for every acre of non-Federal land within the Nation. 2003). Ecological systems of the United States: A working classification of U.S. terrestrial systems. Use 7zip or another compression program to open these files. Normalized Difference Vegetation Index (NDVI), and brightness, greenness and wetness indices were created using Landsat ETM+ coefficients from Huang et al. When you visit their websites, search for “GIS”, “data”, “maps” or “land use.” A few tips when looking for MPO/COG data are as follows. Some of the differences are the product of corrections to mis-classifications in the original 2001 map. Frequently, this high number of classes provides a level of detail that exceeds a user’s needs. NatureServe, Arlington, Virginia. Land cover data documents how much of a region is covered by forests, wetlands, impervious surfaces, agriculture, and other land and water types. 2006, Gould et al. Having images of vegetation during these three different times of the year is very helpful for correctly classifying vegetation types that look the same during one season but different in another. Author: NOAA U.S. Geological Survey, National Geospatial Technical Operations Center, 20140924, USGS National Watershed Boundary Dataset (WBD) 20140924 National Shapefile: U.S. Geological Survey: Reston, VA, http://nhd.usgs.gov/wbd.html. Global Land Cover Datasets. USDA National Agricultural Statistics Service Cropland Data Layer. Gon, S.M., A. Allison, R. J. Cannarella, J. D. Jacobi, K. Y. Kaneshiro, M. H. Kido, M. Lane-Kamehele, S. E. Miller. The findings on land use come from the NRI data category "Land Cover/Use," which comprises mutually exclusive categories such as cropland, rangeland, forest land, other rural land, developed land, and water areas. Plot data were collected using ocular estimates of biotic and abiotic land cover elements, including percent cover of dominant species by life form (i.e. The datasets were assembled by Inez Fung, Elaine Matthews, and associates during 1984-1991. The best way to save them to your computer is to click on the link with the right mouse button and select "Save Link As..." This briefing describes the use of the EEA’s Integrated Data Platform and CORINE Land cover data for transparent, repeatable and efficient land accounting. Finally, the concepts of the Ecological Systems used to define the map legend are inherently variable with a range of physiognomic and phenological conditions possible in a single system. In these situations, we recoded the pixels based on their proximity to labelled pixels in the 2001 GAP map. 2011) boundary data derived from the USGS Watershed Boundary Dataset (USGS NGTOC 2011) was used to label a subset of the pixels in a combination to a new land cover class. Volume 1: Land cover, vertebrate species distribution, and land stewardship. climate, substrate, and topography) to stratify the spectral data. Land cover is fundamental to better understand the climate through the estimation and validation of fluxes of water, carbon, and energy. Information about terrestrial ecosystems is used to develop models showing where there is appropriate habitat for the nation’s vertebrate species. The 584 unique classes in the data set can be displayed at three levels of detail, from general (8 classes) to most detailed. Coastal managers use land cover data and maps to better understand the impacts of natural phenomena and human use of the landscape. Remote Sensing of Environment 86, 554-565. Land cover is the physical material at the surface of the earth. The nine geoareas were then mosaicked in ArcGIS and a class by class check was conducted to look for errors introduced by the mosaicking process. Finding land use land cover data is a pain. Each individual map class location was checked against high resolution reference imagery using Google Earth or ArcGIS base maps to evaluate the pattern and extent of the mapped classes across the geoarea. Available at https://nassgeodata.gmu.edu/CropScape/. Each dataset contains 12 data layers, each of which provides consensus information on the prevalence of one land-cover class. Gould, W. A. C. Alarcon, B. Fevold, M.E. Micro-data: land cover, land use and environmental parameters associated with the individual points surveyed. Land cover refers to the vegetative characteristics or manmade constructions on the land’s surface. For land cover mapping, explanatory variables are the spectral and ancillary data sets and the response variable is the land cover classes (see Lowry et al. This page offers access to a number of datasets which describe land cover characteristics at 1°×1° resolution and to some sample data product images. EROS did the preprocessing and atmospheric correction of the images and developed three clear, low cloud images for all areas of the United States. 2014). The USGS National Land Cover Database (NLCD) is also available and it provides information about general land cover types with 16 land cover classes (for example, Low Intensity Developed, Deciduous Forest). Digital elevation model-derived data sets were also used and included elevation, slope, aspect and landform. 2006. 2013. 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