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24 results for “high-resolution imagery”
SBC LTER: Ocean: High-resolution Landsat 8 chlorophyll imagery of the Santa Barbara Channel
This is a timeseries of Landsat 8 images of the Santa Barbara Channel, processed for both chlorophyll and particulate backscattering. These data are at a particularly high spatial resolution (30 m), making them useful for analysis of submesoscale biophysical and biogeochemical interactions in the SBC, and for comparison with high-resolution modeling results. Data are contained in netcdf files, and there are 88 images in total, spanning the deployment of Landsat 8 (2013 - present). MATLAB scripts are available to load the netcdf files, flag the bad pixels, interpolate over the flagged pixels, and plot images, in the matlab folder. In addition, Landsat8_chl_imagery.zip contains jpegs of all of the images. A recommended workflow to users would be looking through all the jpegs to decide what images you want, and then downloading those specific netcdf files and using the matlab scripts and accompanying functions to process them. Our hope is that concurrent study of submesoscale variability in phytoplankton biomass via both submesoscale-resolving model studies and high-resolution satellite imagery may reveal further insights into the importance of submesoscale biophysical variability to regional and global biogeochemical processes.
Estimation of forest height and biomass from open-access multi-sensor satellite imagery and GEDI Lidar data: high-resolution maps of metropolitan France
<p>Maps of forest height, aboveground biomass (AGB)* and volume (VOL)* at 10 m spatial resolution for the year 2020 on France. </p> <p>* AGB and Volume maps are available on request.</p> <p>The methodology and validation of the maps are presented here: https://hal.science/hal-04249151</p> <p>Please cite :</p> <p>David Morin, Milena Planells, Stéphane Mermoz, Florian Mouret. Estimation of forest height and biomass from open-access multi-sensor satellite imagery and GEDI Lidar data: high-resolution maps of metropolitan France. 2023. hal-04249151</p>
CBRA: The first multi-annual (2016-2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with Super-resolution Segmentation from Sentinel-2 imagery
<p>Large-scale and up-to-date maps of building rooftop area (BRA) are crucial for addressing policy decisions and sustainable development. In addition, as a fine-grained indicator of human activities, BRA could contribute to urban planning and energy modeling to provide benefits to human well-being. However, existing large-scale BRA datasets, such as those from Microsoft and Google, do not include China, hence there are no full-coverage maps of BRA in China. To this end, we produce the multi-annual China building rooftop area dataset (CBRA) with 2.5 m resolution from 2016-2021 Sentinel-2 images. The CBRA is the first full-coverage and multi-annual BRA data in China. The CBRA achieves good performance with the F1 score of 62.55% (+10.61% compared with the previous BRA data in China) based on 250,000 testing samples in urban areas, and the recall of 78.94% based on 30,000 testing samples in rural areas. </p> <p>The CBRA is organized as GeoTIFF (.tif) raster file format with a single band and GCS_WGS_1984 coordinate system. The pixel values are 0 and 255, with 0 representing the background and 255 representing the building rooftop area. Furthermore, to facilitate the use of the data, the CBRA is split into 215 tiles of spatial grid, named “CBRA_year_E/W**N/S**.tif”, where “year” is the sampling year, the “E/W**N/S**” is the latitude and longitude coordinates found in the upper left corner of the tile data.</p> <p> </p> <p>Version 2.0: In version 1.0, there were empty raster images (because they didn't contain buildings). In version 2.0, these raster images were removed.</p>
Frazil streaks in the Terra Nova Bay Polynya from high-resolution visible satellite imagery
<p>Results of high-resolution (pixel size 10–15 m) visible satellite imagery analysis, described in Bradtke and Herman 2023 "Spatial characteristics of frazil streaks in the Terra Nova Bay Polynya from high-resolution visible satellite imagery" (https://tc.copernicus.org/articles/17/2073/2023/).</p> <p>The source data for analysis came from three satellite sensors: ALI (Advanced Land Imager), OLI (Operational Land Imager), and MSI (Multispectral Instrument). </p> <p>The dataset includes:</p> <ol> <li>results of frazil streaks detection in polynya, ice_water (ice =1, water=2, NoData=0)</li> <li>maps of spatially averaged characteristics of ice in polynya (NoData = -100): <ul> <li>ice concentration, Cfs (-),</li> <li>frazil streaks orientation, Thetafs (degrees clockwise from the north)</li> <li>width of frazil streaks, Wfs (m)</li> </ul> </li> <li>maps of spatially averaged wind-wave characteristics obtained from the Fourier analysis (NoData = -100):<br> <ul> <li>peak wave length, Lpeak (m)</li> <li>peak wave direction, Thetapeak (degrees clockwise from the north)</li> </ul> </li> </ol> <p>Data are provided in WGS 1984 / UTM Zone 58S projection (EPSG:32758), in raster grid with 10m resolution, in GeoTIFFformat.</p> <p>File name convention is: sensor_YYYYMMDD_variable.tif</p> <p> </p>
Scripts developed to modelling the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery.
<p>The zipfile contains the scripts developed in the paper on the modelling of the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery, as published in Remote Sensing Applications: Society and Environment journal (RSASE - Elsevier). </p> <ul> <li>Scripts developed for the extraction of light sources from night orthophotography ; [SAFE Software Inc. (2017). FME Desktop Esri Edition.Version 2017.1.]</li> <li>ModelBuilder developed for the visibility modelling of light sources ; [ESRI (2017). ArcGIS Desktop Pro.Version 2.1.]</li> </ul>
Data and code for: A novel method for mapping high-precision animal locations using high-resolution imagery
Open the record for dataset details and reuse information.
High-Resolution Orthorectified Imagery from 1938, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1938 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.3 m resolution. The 1946 companion mosaic covers the western portion of the Niwot LTER and Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO) project area and was produced with maximum overlap of the 1938 mosaic. The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:20,000 scale, black and white (grayscale) photographs acquired by the United States Forest Service (USFS). The aerial photos were obtained as 1800 dpi digital scans from the Colorado Aerial Photo Service and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using a non-metric camera model, estimated focal length, calculated flying height and no fiducials. Individual photo frames were mosaiced with cutlines, then adjusted with additional geocorrection in ArcMap using a 3rd order polynomial warp, and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 7.0 m (RMSE, relative to the 2008 reference imagery, based on 4 independent check points). The mosaic covers an area of 55 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets avai
High-Resolution Orthorectified Imagery from 1946, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1946 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.3 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The 1938 companion mosaic covers the eastern portion of the Niwot LTER project area and was produced with maximum overlap of the 1946 mosaic. The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:20,000 scale, black and white (grayscale) photographs acquired by the United States Forest Service (USFS). The aerial photos were obtained as 1800 dpi digital scans from the Colorado Aerial Photo Service and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), known focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines, then adjusted with additional geocorrection in ArcMap using a 2nd order polynomial warp, and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.8 m (RMSE, relative to the 2008 reference imagery, based on 6 independent check points). The mosaic covers an area of 63 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributo
High-Resolution Orthorectified Imagery from 1953, Niwot Ridge LTER Project Area, Colorado
Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1953 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.7 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:45,000 scale, black and white (grayscale) photographs acquired by the United States Geological Survery (USGS). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), known focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.5 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1972, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layer
High-Resolution Orthorectified Imagery from 1972, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1972 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.8 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:55,000 scale, color infrared (CIR) photographs acquired by the National Aeronautics and Space Administration (NASA). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), estimated focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.7 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 77 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and
High-Resolution Orthorectified Imagery from 1985, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1985 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.8 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:58,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National High Altitude Photography Program (NHAP). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), and known focal length and fiducial coordinates from a calibration report. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1990, 1999, 2000, 2002, 2004, 2006 an
High-Resolution Orthorectified Imagery from Approximately 1990, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1988 and 1990 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.6 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:40,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National Aerial Photography Program (NAPP). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), and known focal length and fiducial coordinates from a calibration report. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 0.9 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1985, 1999, 2000, 2002, 2004, 200
High-Resolution Orthorectified Imagery from 1999, Niwot Ridge LTER Green Lakes Valley Project Area, Colorado
The 1:12,000 photos were flown by Rocky Mountain Aerial, the LTER project manager is Don Cline. The Green Lakes Valley orthophoto was produced using 8 black and white photograph stereopair diapositives, flown at 1:12,000 scale in September, 1994 by Rocky Mountain Aerial, Denver, Colorado. Two flightlines were used to create this orthophoto, as there was not enough information in one flightline to include the entire GLV watershed. The diapositives were scanned in using ASIs high resolution drum scanner. An evenly spaced 25-m cellsize DEM was created from dtm.xyz using the outer boundary of the photographs. This DEM was used to register the 1:12,000 stereopairs to the UTM coordinate system with a horizontal location accuracy of 25-m. Once the 1:12,000 photographs were registered and rectified a .5-m cellsize digital orthophoto was produced for the Green Lakes Valley. There were a few problems with orthophoto generation in this area, mostly because of the steep terrain. Firstly, the stereopairs were NOT flown to generate othophotos, they were flown to generate DEMs. Because of this there was not enough overlap for generation of a seamless orthophoto. As the photos were warped to fit a planimetric base, there were a few areas with no data in the middle of the orthophoto. These areas were minimized because of ASIs expertise, but they show up as small black bars in the middle of the orthophoto. There are also some layover problems because of the steep terrain. This is caused by a steep mountain on the edge of the photo that lays over in one direction on one photo and lays over in another direction on the photo beside it. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
High-Resolution Orthorectified Imagery from 1999, Resampled to 10 meter, Niwot Ridge LTER Green Lakes Valley Project Area, Colorado
Orthophoto has been resampled to 10 meter. The 1:12,000 photos were flown by Rocky Mountain Aerial, the LTER project manager is Don Cline. The Green Lakes Valley orthophoto was produced using 8 black and white photograph stereopair diapositives, flown at 1:12,000 scale in September, 1994 by Rocky Mountain Aerial, Denver, Colorado. Two flightlines were used to create this orthophoto, as there was not enough information in one flightline to include the entire GLV watershed. The diapositives were scanned in using ASIs high resolution drum scanner. An evenly spaced 25-m cellsize DEM was created from dtm.xyz using the outer boundary of the photographs. This DEM was used to register the 1:12,000 stereopairs to the UTM coordinate system with a horizontal location accuracy of 25-m. Once the 1:12,000 photographs were registered and rectified a .5-m cellsize digital orthophoto was produced for the Green Lakes Valley. There were a few problems with orthophoto generation in this area, mostly because of the steep terrain. Firstly, the stereopairs were NOT flown to generate othophotos, they were flown to generate DEMs. Because of this there was not enough overlap for generation of a seamless orthophoto. As the photos were warped to fit a planimetric base, there were a few areas with no data in the middle of the orthophoto. These areas were minimized because of ASIs expertise, but they show up as small black bars in the middle of the orthophoto. There are also some layover problems because of the steep terrain. This is caused by a steep mountain on the edge of the photo that lays over in one direction on one photo and lays over in another direction on the photo beside it. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospa
Source Index Map Layer for High-Resolution Orthorectified Imagery from Approximately 1990, Niwot Ridge LTER Project Area, Colorado
Citation Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This vector shapefile is a source index map layer for the mosaic of orthorectified aerial photography from 1988 and 1990 for the Niwot Ridge Long Term Ecological Research (LTER) project. The index also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The index polygons are attributed with source photo date and photo year. The mosaic is derived from approx. 1:40,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National Aerial Photography Program (NAPP). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1985, approximately 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layers. Together, the DEM's and imagery will be of interest to students, research scientists, and others for observation and analysis of natural features and ecosystems. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
High-Resolution Orthorectified Imagery from 2008, Niwot Ridge LTER Project Area, Colorado
This image tile is part of an orthophotography project covering contiguous areas of interest in and adjacent to the jurisdictional boundary of the Denver Region Council of Governments (DRCOG) in central Colorado. The project is known as the Denver Region Aerial Photography Project (DRAPP) begun and completed in 2008. The tiles are images which depict color digital aerial photographs acquired in the spring of 2008 during leaf-off conditions and in early summer of 2008 over mountainous areas to minimize snow cover. Lens and terrain distortion have been removed and tonal differences between adjacent images have been minimized to form a mosaic of the entire project area. The project area includes The Denver Metropolitan area and both eastern plains and western mountains adjacent to the metro area. Orthorectified imagery is assumed to depict features at ground level, so above ground features may show some distortion from elevation. The only exceptions to this are bridges and elevated roads, which have been checked for distortion and manually replaced by their previous unrectified versions. Each orthorectified pixel is exactly one half foot square in the metro area and one foot square in the plains and mountain areas. Quality and accuracy of this orthophotography was evaluated independently. The image products conform to American Society for Photogrammetry and Remote Sensing (ASPRS) Class I Standards for 1"=200' horizontal mapping. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
Datasets supporting the publication: Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador
<p>##################################</p> <p><strong>Datasets supporting the publication:</strong></p> <p><em>Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador.</em></p> <p>International Journal of Remote Sensing. <a href="https://doi.org/10.1080/01431161.2023.2205983">https://doi.org/10.1080/01431161.2023.2205983</a></p> <p>C. Scott Watson<sup>a</sup>*, John R. Elliott<sup>a</sup>, Marco Córdova<sup>b</sup>, Jonathan Menoscal<sup>b</sup>, Santiago Bonilla-Bedoya<sup>c</sup></p> <p><em><sup>a</sup>COMET, School of Earth and Environment, University of Leeds, LS2 9JT, UK</em></p> <p><em><sup>b</sup>Facultad Latinoamericana de Ciencias Sociales, FLACSO, Quito, Ecuador</em></p> <p><em><sup>c</sup>Research Center for the Territory and Sustainable Habitat, Universidad Tecnológica Indoamérica,Machala y Sabanilla, 170301, Quito, Ecuador</em></p> <p><strong>-Please refer to the publication for details on the production of each dataset.<br> -Please cite the publication and this dataset repository when using the data.</strong></p> <p>##################################</p> <p><strong>Data:</strong></p> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>J1_mosaic_max.tif</td> <td>Mosaicked Jilin-1 multi-spectral night-time image of Quito, Ecuador. Acquisition: 8th July 2021 at ~10:30 UTC (05:30 local time)</td> </tr> <tr> <td>corine_landcover_S2_20210705T153621_20210705T154215_T17MQV.tif</td> <td>Land cover classification applied to a Sentinel-2 image (5th July 2021)</td> <td> </td> </tr> <tr> <td>corine_landcover_symbology_qgis.txt</td> <td>Land cover classification symbology for QGIS</td> </tr> <tr> <td>light_type_classification.tif</td> <td>Light type classification: class 1 = LED, class 10 = HPS.</td> </tr> <tr> <td>classified_light_locations.shp</td> <td>Classified light source (point) locations</td> </tr> </tbody> </table>
Data repository from Boudewijn van Lieshout' thesis A comparison between Normalized Difference Vegetation Indices calculated from Sentinel 2A satellite data and high-resolution UAV imagery in Tanzania
<p>Monitoring vegetation is imperative for policy design and efficiency measurements. Frequent data collection, easy and inexpensive accessibility of images and the possibility of large area analysis, makes it still valuable to use satellite imagery. This study aims to examine how a Normalized Difference Vegetation Index (NDVI) measured with Sentinel-2A satellite data relates to an NDVI from Unmanned Aerial Vehicles (UAV henceforth) in study areas Chamwino Mlimwa and Chemba Waida, Tanzania.</p>
High-resolution residual dry matter (RDM) map for a California oak savanna/annual grassland derived from drone multispectral remote sensing imagery and in-situ grass biomass data
Open the record for dataset details and reuse information.
High-resolution global building height map (GBHM, 10 m) developed based on Sentinel imagery
<p>Due to the limited number of files on the Zenote platform, the tif files were grouped into the zip packages by longitude. In terms of file and zip package naming, lon represents longitude, lat represents latitude, A represents the east or north latitude, B represents west or south latitude, and the numbers after A and B represent the specific longitude or latitude in the lower left corner of the file.</p> <p>To compress the size of the data, the data is scaled by a factor of 100. Therefore, the pixel values need to be divided by 100 when used, i.e., a pixel value of 1500 represents 15 m.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.