Data
GECSC staff are responsible for the development of data and information products that support global environmental research, landscape change investigations, geologic studies and emergency response activities.
Filter Total Items: 223
Data Release for Toward ecosystem accounts for Rwanda: Tracking 25 years of change in ecosystem service potential and flows
Ecosystem accounts link national-scale environmental and economic trends, offering an internationally standardized approach to tracking sustainability. We compile ecosystem accounts for Rwanda over a 25-year period, and demonstrate that despite strong economic growth, social development, and high-level commitment to environmental goals, ecosystem services fundamental to Rwanda's well-being have de
A national dataset of rasterized building footprints for the U.S.
The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector lay
Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China
Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Lari
Digital data for three-dimensional geologic framework model of the Rio San Jose groundwater basin, New Mexico
This data release contains a geospatial database related to a digital 3D geologic framework of the Rio San Jose watershed, New Mexico. The geospatial database contains two main data elements: (1) input data to the 3D framework model; (2) interpolated elevations and thicknesses of stratigraphic units as a cellular array. Input surface and subsurface data for 18 stratigraphic units have been condens
Data release for Using social-context matching to improve transfer performance for cultural ecosystem service models
Spatial planning is becoming an increasingly important component of managing natural resources in the face of growing demands upon and threats to our public lands. Efforts to model and map the goods and services derived from ecosystems provide important information to planning efforts, permitting the analysis of tradeoffs or costs and benefits associated with management alternatives. Much progress
Data release for Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications
This dataset includes tables of 3He-isotopic data used to calculate surface exposure ages for samples of basalt, and U- and Th-isotopic data used to calculate uranium-series age estimates (230Th/U method) and initial 234U/238U activity ratios for samples of pedogenic carbonate formed in soils on alluvial fans in the San Luis Valley, Colorado, USA. These data are included in the publication: Rule
Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration
Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous species, despite potential consequences for local climate, carbon and wildlife. We found that dual season (growing and snow cover) NDVI improved our ability to distinguish conifer tree presence and density.
Data release for the potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States
Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat.
Data Release for "Holocene thermokarst lake dynamics in northern Interior Alaska: the interplay of climate, fire, and subsurface hydrology"
The current state of permafrost in Alaska and meaningful expectations for its future evolution are informed by long-term perspectives on previous permafrost degradation. Thermokarst processes in permafrost landscapes often lead to widespread lake formation and the spatial and temporal evolution of thermokarst lake landscapes reflects the combined effects of climate, ground conditions, vegetation,
Gravity data of the Hinkley area, southern California
This dataset contains gravity data collected in the HInkley area in the Mojave Desert of southern California.
Data release for Geographic context affects the landscape change and fragmentation caused by wind energy facilities
Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. We mapped, quantified, and analyzed the effects of facilities' geographic context on road networks and changes in landscape patterns by digitizing the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery of before and after construction. Th
Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China
Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can