Find research datasets worth reusing

openOpenNov 2003View details →

Aspect raster layer for interior Alaska

This is a raster file in .e00 file that have values from -1 to 360. These values represent cardinal values (North; 0 , East; 90, South; 180, West; 270).

openOpenNov 2003View details →

Digital Elevation Model (DEM) raster layer for interior Alaska

This is a raster file in .e00 file that has a number of values that represent a range of elevations across Interior Alaska.

Estimated River Length for Rivers in the Ipswich and Parker River Watersheds - ASCII Raster File

This datalayer is a gridded data set of cell length, corresponding with an estimate of river length, for rivers in Plum Island Sound watershed. The resolution is 120 m x 120 m. This layer gives length of each grid cell (either as 120m if vertical or horizontal, or 169.7 if diagonal). This information is derived from the flow direction data file: WAT-RGIS-120m-FlowDirection.asc Provide length of river, uncorrected for sub grid cell meandering, which is assumed to be relativelty small.

Stream Order for drainage to streams in the Ipswich or Parker River Network - ASCII Raster File

This datalayer is a gridded data set that identifies for each pixel the stream order that drainage from the pixel initially enters into the river network. The resolution is 120 m x 120 m. Based on the flow direction in: WAT-RGIS-120m-FlowDirection.asc. First order streams at the 120m resolution are equivalent to third order when calculated at the pixel level from the drainage direction grid (i.e. 3rd order pixels are equivalent to 1st order streams, 4th order pixels are second order streams, etc). Idenitify the distribution of inputs from land to streams of different sizes.

Estimated Distance from the Ocean for River Grid Cells - Parker and Ipswich Watersheds - ASCII Raster File

This datalayer is a gridded data set of the estimated distance (km) to ocean from each point in the gridded river network. The resolution is 120 m x 120 m. Based on the flow direction in: WAT-RGIS-120m-FlowDirection.asc Provide the distance to ocean for each grid cell.

Flow Direction from Land Surface - Parker and Ipswich Watersheds - ASCII Raster File

This datalayer is a gridded flow direction (i.e. river network) of the watersheds draining to Plum Island Sound. The resolution is 120 m x 120 m. This layer gives the direction of each cell to the next downstream grid cell. The gridded river network is used to explore scientific questions regarding the role of different land uses in defining nutrient loading, and the role of river systems in controlling exports to the coastal zone. Provide the flow direction of materials from source areas on land to downstream aquatic systems for general mapping and display, nutrient loading and routing analysis, and aquatic ecosystem modeling.

Contributing drainage areas - Parker and Ipswich Watersheds - ASCII Raster File

This datalayer is a gridded data set of the contributing area to each grid cell for rivers in Plum Island Sound watershed. The resolution is 120 m x 120 m. This layer gives drainage area (km2) of each grid cell based on the flow directions in: WAT-RGIS-120m-FlowDirection.asc Provide the drainage area for each grid cell.

Land Cover, 2005, for Town of Andover, Massachusetts - Raster

This is a seven-category land-cover map of Andover, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

Land Cover, 2005, for Town of Beverly, Massachusetts - Raster

This is a seven-category land-cover map of Beverly, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

Land Cover, 2005, for Town of Billerica, Massachusetts - Raster

This is a seven-category land-cover map of Billerica, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

Land Cover, 2005, for Town of Boxford, Massachusetts - Raster

This is a seven-category land-cover map of Boxford, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

Land Cover, 2005, for Town of Burlington, Massachusetts - Raster

This is a seven-category land-cover map of Burlington, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

openCC (other)Feb 2018View details →

PIE LTER Land Cover (2005), Plum Island Sound estuary, Massachusetts - Raster

This is a seven-category land-cover map of the Plum Island Sound estuary, Massachusetts. The seven categories are: water, tidal flats and soils, Spartina alterniflora, Spartina patens, trees, grass, impervious surface. These medium resolution true color images are considered the new "basemap" for the Commonwealth by MassGIS. The photography for the entire commonwealth was captured in April 2005 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format.

openCC (other)Feb 2018View details →

PIE LTER Land Cover (2013), Plum Island Sound estuary, Massachusetts - Raster

This is a seven-category land-cover map of the Plum Island Sound estuary, Massachusetts. The seven categories are: water, tidal flats and soils, Spartina alterniflora, Spartina patens, trees, grass, impervious surface. These medium resolution true color images are considered the new "basemap" for the Commonwealth by MassGIS. The photography for the entire commonwealth was captured in April 2013 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format.

opencc-by-4.0Feb 2024View details →

Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021)

The dataset contains maps of the main classes of agricultural land use (dominant crop types and other land use types) in Germany, which are produced annually at the Thünen Institute beginning with the year 2017 on the basis of satellite data. The maps cover the entire open landscape, i.e., the agriculturally used area (UAA) and e.g., uncultivated areas. The map was derived from time series of Sentinel-1, Sentinel-2, Landsat 8 and additional environmental data. Map production is based on the methods described in <a href="https://doi.org/10.1016/j.rse.2021.112831">Blickensdörfer et al. (2022)</a>. All optical satellite data were managed, pre-processed and structured in an analysis-ready data (ARD) cube using the open-source software <a href="https://force-eo.readthedocs.io/en/latest/">FORCE </a>- Framework for Operational Radiometric Correction for Environmental monitoring (Frantz, D., 2019), in which SAR and environmental data were integrated. The map extent covers all areas in Germany that are defined in the respective year as cropland, grassland, small woody features, heathland, peatland or unvegetated areas according to ATKIS Basis-DLM (Geobasisdaten: © GeoBasis-DE / BKG, 2020).  Version v201: Post-processing of the maps included a sieve filter as well as a ruleset for the reduction of non-plausible areas using the Basis-DLM and the digital terrain model of Germany (Geobasisdaten: © GeoBasis-DE / BKG, 2015). Version v202: Additional post-processing was performed to detect and mask additional non-plausible areas that were not adequately covered by the first post-processing (e.g., areas with sparse vegetation, montane forests) based on the &bdquo;Ökosystematlas Deutschland“ (© Statistisches Bundesamt, Deutschland, 2024). As a consequence, the current version includes a new class “Small woody features on other land”. Furthermore, the class "permanent grassland" was refined. Each pixel that was classified as "cultivated grassland" in at least five years (between 2017 and 2022) was translated to "permanent grassland" in the annual maps. The maps are available as cloud optimized GeoTiffs, which makes downloading the full dataset optional. All data can directly be accessed in QGIS, R, Python or any supported software of your choice using the provided URL to the datasets (right click on the respective data set --> “copy link address”). By doing so the entire map area or only the regions of interest can be accessed. QGIS legend files for data visualization can be downloaded separately. Class-specific accuracies for each year are provided in the respective tables. We provide this dataset "as is" without any warranty regarding the accuracy or completeness and exclude all liability.    References: Blickensdörfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., & Hostert, P. (2022). Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sensing of Environment, 269, 112831. BKG, Bundesamt für Kartographie und Geodäsie (2015). Digitales Geländemodell Gitterweite 10 m. DGM10. https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/dgm10.pdf (last accessed: 28. April 2022). BKG, Bundesamt für Kartographie und Geodäsie (2020). Digitales Basis-Landschaftsmodell. https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/basis-dlm.pdf (last accessed: 28. April 2022). Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124. Statistisches Bundesamt, Deutschland (2024). Ökosystematlas Deutschland https://oekosystematlas-ugr.destatis.de/ (last accessed: 08.02.2024). ___________________________________________________________________________ National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) © 2024 by Schwieder, Marcel; Tetteh, Gideon Okpoti; Blickensdörfer, Lukas; Gocht, Alexander; Erasmi, Stefan;  licensed under CC BY 4.0.  Funding was provided by the German Federal Ministry of Food and Agriculture as part of the joint project “Monitoring der biologischen Vielfalt in Agrarlandschaften” (<a href="https://www.agrarmonitoring-monvia.de/en/">MonViA</a>, Monitoring of biodiversity in agricultural landscapes). The study was financially supported by the European Environment Agency and the European Union’s Horizon Europe Research and Innovation programme under Grant Agreement No 101060423 (LAMASUS).

opencc-by-4.0Aug 2022View details →

Drone Orthomosaics and Raster Masks

These drone orthomosaics were produced by automatic flights using a DJI Phantom 4 over small settlements in Colombia, South America. They have the purpose to produce deep learning datasets

opencc-by-4.0May 2024View details →

Results in raster format of Land Cover in the Mendoza and Tunuyán River Basins, Argentina (1986–2018) published in Rojas et al. 2020

Results in raster format of "Land Use Changes" in the Mendoza and Tunuyán River Basins, Argentina (1986-2018) published in Rojas et al. 2020, available at:  Resultados en formato raster de "Cambios de Uso del Suelo" en las cuencas de los ríos Mendoza y Tunuyán, Argentina (1986-2018) publicados en Rojas et al. 2020, disponible en:  https://doi.org/10.1007/s12061-020-09335-6 https://link.springer.com/article/10.1007/s12061-020-09335-6 Rojas, F., Rubio, C., Rizzo, M., Bernabeu, M., Akil, N., & Martín, F. (2020). Land Use and Land Cover in Irrigated Drylands: a Long-Term Analysis of Changes in the Mendoza and Tunuyán River Basins, Argentina (1986–2018). Applied Spatial Analysis and Policy, 13(4), 875–899. doi:10.1007/s12061-020-09335-6

opencc-by-4.0Jul 2024View details →

Arquivo Raster do Mapeamento HAND (Height Above Nearest Drainage) do Estado do Espírito Santo, Brasil

Descrição em português: O arquivo compactado (HAND_ES.zip) contém arquivo raster (HAND_ES.tif) com o mapeamento do HAND para o estado do Espírito Santo, Brasil. O HAND foi obtido com o software TerraHidro/INPE, a partir do modelo digital de terreno de 30 metros ANADEM (v018). Description in english: The compressed file (HAND_ES.zip) contains a raster file (HAND_ES.tif) with the HAND mapping for the state of Espírito Santo, Brazil. The HAND was obtained using the TerraHidro/INPE software, based on the 30-meter ANADEM (v018) digital terrain model.