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Carbon Capture and Storage (CCS) is a critical part of the global effort to address climate change as CCS has the potential to achieve deep cuts in CO2 emissions to atmosphere from the use of fossil fuels. In this context, pre-combustion capture through Integrated Gasification Combined Cycle (IGCC) power plants with CCS is one of the key pathways to low emissions power generation. There are, however, very significant challenges to the development, commercialization and deployment of IGCC with CCS technologies. This article examines matters of cost, the need for government support to early movers, the attribution of economic value for carbon dioxide and various other regulatory, policy, technical and infrastructural...
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The National Park Service (NPS) Vegetation Inventory Program (VIP) is an effort to classify, describe, and map existing vegetation of national park units as part of generating baseline data products for the NPS Natural Resources Inventory and Monitoring Program. Plot data were collected during field visits to SAJH during the summer of 2010 and spring of 2011. Vegetation polygons were initially developed using aerial photography within ArcGIS. These polygons were modified based on field work conducted during the summer of 2010 and spring of 2011. The small extent of the park allowed classification data collection to occur simultaneously with field-based mapping. Prior to conducting field visits, existing vegetation...
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Habitat loss and degradation due to urban expansion and other human activities have raised concerns for the Western Gulf Coast Mottled Duck population. This species relies on tidal, palustrine, and agricultural wetlands as well as grasslands for all of its life cycle needs. The disappearance of suitable nesting and brood-rearing habitat is believed to be the primary factor associated with long-term population decline of the mottled duck. One of the first science projects initiated by the GCP LCC was development of a spatially-explicit Decision Support Tool (DST) to help guide conservation and management of habitat for breeding Mottled Ducks in coastal Louisiana and Texas. An important next step is evaluating the...
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Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare...
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Land Change Monitoring, Assessment, and Projection (LCMAP) represents a new generation of land cover mapping and change monitoring from the U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center. LCMAP answers a need for higher quality results at greater frequency with additional land cover and change variables than previous efforts. By utilizing a suite of operational automated algorithms to identify different forms of change and to characterize the large variety of land cover types, uses, and conditions that exist across the United States and beyond, LCMAP products provide land change science information in understanding changes in the type, intensity, condition, location, and time of...
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U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. The goal was to compare the airborne lidar and sonar derived TBDEM to data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). In addition, coastal dunes were mapped with ground based lidar (GBL) for computation of dune metrics. The Hurricane Florence TBDEM will support the...
Categories: Data; Tags: 3D Elevation Program, 3DEP, CMHRP, Cape Hatteras National Seashore, CoNED, All tags...
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Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative to the BAECV algorithm and products, and updated validation metrics. We also present spatial and temporal patterns of burned area across the conterminous U.S. and a comparison with other burned area datasets. The BA algorithm identifies burned areas in analysis ready data (ARD) time-series of Landsat imagery from 1984...
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Habitat loss and degradation due to urban expansion and other human activities have raised concerns for the Western Gulf Coast Mottled Duck population. This species relies on tidal, palustrine, and agricultural wetlands as well as grasslands for all of its life cycle needs. The disappearance of suitable nesting and brood-rearing habitat is believed to be the primary factor associated with long-term population decline of the mottled duck. One of the first science projects initiated by the GCP LCC was development of a spatially-explicit Decision Support Tool (DST) to help guide conservation and management of habitat for breeding Mottled Ducks in coastal Louisiana and Texas. An important next step is evaluating the...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, 2016, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOSPHERE, All tags...
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The data are 475 thematic land cover raster’s at 2m resolution. Land cover classification was to the land cover classes: Tree (1), Water (2), Barren (3), Other Vegetation (4) and Ice & Snow (8). Cloud cover and Shadow were sometimes coded as Cloud (5) and Shadow (6), however for any land cover application would be considered NoData. Some raster’s may have Cloud and Shadow pixels coded or recoded to NoData already. Commercial high-resolution satellite data was used to create the classifications. Usable image data for the target year (2010) was acquired for 475 of the 500 primary sample locations, with 90% of images acquired within ±2 years of the 2010 target. The remaining 25 of the 500 sample blocks had no usable...
Carbon Capture and Storage (CCS) is a critical part of the global effort to address climate change as CCS has the potential to achieve deep cuts in CO2 emissions to atmosphere from the use of fossil fuels. In this context, pre-combustion capture through Integrated Gasification Combined Cycle (IGCC) power plants with CCS is one of the key pathways to low emissions power generation. There are, however, very significant challenges to the development, commercialization and deployment of IGCC with CCS technologies. This article examines matters of cost, the need for government support to early movers, the attribution of economic value for carbon dioxide and various other regulatory, policy, technical and infrastructural...
Carbon Capture and Storage (CCS) is a critical part of the global effort to address climate change as CCS has the potential to achieve deep cuts in CO2 emissions to atmosphere from the use of fossil fuels. In this context, pre-combustion capture through Integrated Gasification Combined Cycle (IGCC) power plants with CCS is one of the key pathways to low emissions power generation. There are, however, very significant challenges to the development, commercialization and deployment of IGCC with CCS technologies. This article examines matters of cost, the need for government support to early movers, the attribution of economic value for carbon dioxide and various other regulatory, policy, technical and infrastructural...
This study was conducted under the USDA-Conservation Effects Assessment Project (CEAP) in the Cheney Lake watershed in south-central Kansas. The Cheney Lake watershed has been identified as ‘impaired waters’ under Section 303(d) of the Federal Clean Water Act for sediments and total phosphorus. The USDA-CEAP seeks to quantify environmental benefits of conservation programmes on water quality by monitoring and modelling. Two of the most widely used USDA watershed-scale models are Annualized AGricultural Non-Point Source (AnnAGNPS) and Soil and Water Assessment Tool (SWAT). The objectives of this study were to compare hydrology, sediment, and total phosphorus simulation results from AnnAGNPS and SWAT in separate calibration...


    map background search result map search result map San Juan Island National Historical Park Vegetation Mapping Project - Spatial Vegetation Data Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Final Report: Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S. (ver. 2.0, May 2020) Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021 San Juan Island National Historical Park Vegetation Mapping Project - Spatial Vegetation Data Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021 Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Final Report: Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S. (ver. 2.0, May 2020)