This Dataverse serves as the official permanent data repository for the NSF-DDRI-1657739 project. Inci Guneralp is the PI for the project and Cesar R Castillo is the Co-PI.
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1 to 10 of 29 Results
Dec 30, 2019
Castillo, Cesar R, 2019, "Aerial_Imagery_D810_16Apr2018_NIR", https://doi.org/10.18738/T8/ASAGDQ, Texas Data Repository, V1
Multi-spectral aerial imagery in GeoTIFF format with spatial resolution of approximately 0.41-meters that was captured on 16-Apr-2018 using a Cannon D810 DSLR camera with a near-infrared (NIR) isolating filter used by the Aerial Applications Technology Research Unit of the Agricu...
Dec 30, 2019
Castillo, Cesar R, 2019, "Aerial_Imagery_D810_16Apr2018_RGB", https://doi.org/10.18738/T8/9CBDPU, Texas Data Repository, V1
Multi-spectral aerial imagery in GeoTIFF format with spatial resolution of approximately 0.41-meters that was captured on 16-Apr-2018 using a Cannon D810 DSLR camera by the Aerial Applications Technology Research Unit of the Agricultural Research Service of the U.S. Department of...
Dec 30, 2019
Castillo, Cesar R, 2019, "TopologicalAlgebraic_GraphMetrics_ByEcolClass_ByQ", https://doi.org/10.18738/T8/1NPRLK, Texas Data Repository, V1
Tables in CSV format of topological and algebraic graph metrics for the network induced by surface-water connections for a range of river discharges (Q). Patches within the soil- and vegetation-based land classifications that become inundated form the basis for constructing the n...
Dec 30, 2019
Castillo, Cesar R, 2019, "Landscape_Patch_Connectivity_VegClass_ByQ", https://doi.org/10.18738/T8/WHWW5M, Texas Data Repository, V1
Shapefiles of the vegetation-based landscape patches from the vegetation-based land classification that become connected to the river for a given river discharge (Q). The Q values considered span the historical record for Mission River and the Q in cubic-meters per second (cms) a...
Dec 30, 2019
Castillo, Cesar R, 2019, "Landscape_Patch_Connectivity_SoilClass_ByQ", https://doi.org/10.18738/T8/0CLIQD, Texas Data Repository, V1
Shapefile of the soil-based landscape patches from the soil-based land classification that are connected to the river for a given river discharge (Q). The Q values considered span the historical record for Mission River and the Q in cubic-meters per second (cms) associated with e...
Dec 30, 2019
Castillo, Cesar R, 2019, "HECRAS_Sims_Inundation_Depth_ByQ", https://doi.org/10.18738/T8/MLYGCH, Texas Data Repository, V1
Geospatial rasters in GeoTIFF format of the depth of inundation for the 23 steady HEC-RAS simulations that span the historical record for Mission River. The river discharge (Q) values range from 3 to 2186 cubic-meters per second (cms) The Q values associated with each raster data...
Dec 30, 2019
Castillo, Cesar R, 2019, "Ecological_Land_Classification_Vegetation_Based", https://doi.org/10.18738/T8/OCWAXR, Texas Data Repository, V1
Shapefile of the vegetation-based ecological land classification for the Mission River landscape. Each feature in the shapefile represents a distinct landscape patch. The "Ecol_Class" field in the attribute table identifies the ecological class for each feature. The vegetation-ba...
Dec 30, 2019
Castillo, Cesar R, 2019, "Ecological_Land_Classification_Soil_Based", https://doi.org/10.18738/T8/LTVBKG, Texas Data Repository, V1
Shapefile of the soil-based ecological land classification for the Mission River landscape. Each feature in the shapefile represents a distinct landscape patch. The "Ecol_Class" field in the attribute table identifies the ecological class for each feature. The soil-based ecologic...
Dec 30, 2019
Castillo, Cesar R, 2019, "DTM_NCALM18_FEMA06_WithChannel", https://doi.org/10.18738/T8/BQOUAJ, Texas Data Repository, V1
Digital terrain model (DTM) of the Mission River landscape at a 1-m spatial resolution. This dataset was developed by fusing lidar-based terrain data from the National Center for Airborne Laser Mapping (NCALM; collected in Mar-2018) as part of an NSF grant (Grant ID: NSF-EAR-RAPI...
Dec 30, 2019
Castillo, Cesar R, 2019, "Aerial_Imagery_D810_29Oct2017_NIR", https://doi.org/10.18738/T8/16L5VQ, Texas Data Repository, V1
Multi-spectral aerial imagery in GeoTIFF format with spatial resolution of approximately 0.8-meters that was captured on 29-Oct-2017 using a Cannon D810 DSLR camera with a near-infrared (NIR) isolating filter used by the Aerial Applications Technology Research Unit of the Agricul...
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