The following pages link to Devendra Dahal (Q139420):
Displayed 44 items.
- Estimating carbon and showing impacts of drought using satellite data in regression-tree models (Q145659) (← links)
- Rapid monitoring of the abundance and spread of exotic annual grasses in the western United States using remote sensing and machine learning (Q145763) (← links)
- Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies (Q147715) (← links)
- Monitoring drought impact on annual forage production in semi-arid grasslands: A case study of Nebraska sandhills (Q149138) (← links)
- Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative (Q153046) (← links)
- Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis (Q153060) (← links)
- Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States (Q155063) (← links)
- Spatiotemporal variation of surface shortwave forcing from fire-induced albedo change in interior Alaska (Q233929) (← links)
- Projecting the spatiotemporal carbon dynamics of the Greater Yellowstone Ecosystem from 2006 to 2050 (Q234899) (← links)
- A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data (Q235060) (← links)
- The carbon cycle and hurricanes in the United States between 1900 and 2011 (Q236519) (← links)
- Spatial variations in immediate greenhouse gases and aerosol emissions and resulting radiative forcing from wildfires in interior Alaska (Q238114) (← links)
- Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey (Q238672) (← links)
- Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA (Q244877) (← links)
- Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska (Q244886) (← links)
- Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance (Q244895) (← links)
- Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota (Q251006) (← links)
- Rapid crop cover mapping for the conterminous United States (Q262099) (← links)
- Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions (Q281900) (← links)
- Predicting exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios (Q286351) (← links)
- Characterizing land surface phenology and exotic annual grasses in dryland ecosystems using Landsat and Sentinel-2 data in harmony (Q297321) (← links)
- Monitoring climate impacts on annual forage production across U.S. semi-arid grasslands (Q306675) (← links)
- Multi-species inference of exotic annual and native perennial grasses in rangelands of the western United States using Harmonized Landsat and Sentinel-2 data (Q311383) (← links)
- Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA (Q314137) (← links)
- Exotic annual grass (EAG) phenology estimates in the western U.S. rangelands based on 30-m HLS NDVI (ver. 2.0, April 2024) (Q317839) (← links)
- A circa 2010 global land cover reference dataset from commercial high resolution satellite data (Q317942) (← links)
- Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024) (Q318244) (← links)
- Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (Q318703) (← links)
- Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 - 2019) (Q319237) (← links)
- Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (Q319757) (← links)
- Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022) (Q319851) (← links)
- Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 (Q322772) (← links)
- Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) (Q324450) (← links)
- Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) (Q324471) (← links)
- Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 (Q326366) (← links)
- Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022) (Q326809) (← links)
- Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 (Q326810) (← links)
- Land Cover Assignments of 300 locations in the Pacific Northwest in 2000 (Q327543) (← links)
- Time series of expected livestock forage biomass in the semi-arid grasslands of the western U.S. (2000-2018) (Q327548) (← links)
- Accuracy of Rapid Crop Cover Maps of Conterminous United States for 2008 - 2016 (Q328577) (← links)
- Weekly cloud free Harmonized Landsat Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) data for western United States (2016 – 2019). (Q328923) (← links)
- Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 (Q329954) (← links)
- Time Series of expected Nebraska Sandhills livestock forage (2000 - 2016) (Q329982) (← links)
- Estimating carbon fluxes using satellite data integrated into regression-tree models in the conterminous United States (Q330528) (← links)