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High interannual variability of forage production in semi-arid grasslands leads to uncertainties when livestock producers make decisions such as buying additional feed, relocating animals, or using flexible stocking. Within-season predictions of annual forage production (i.e., yearly production) can provide specific boundaries for producers to make these decisions with more information and possibly with higher confidence. We use a recently developed forage production model, ForageAhead, that uses environmental and seasonal climate variables to estimate the annual forage production approximated by remotely sensed vegetation data. The model uses observed seasonal climate data from winter and spring as an input together...
Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The research objectives are to (1) estimate biomass expected at a certain location under specific weather conditions, (2) determine which drought indices explain the majority of inter-annual variability in the study area and (3) develop a model that estimates annual biomass early in the growing season. This study uses an established methodology to determine an expected ecosystem performance (EEP) in the Nebraska Sandhills, USA, representing...
The data presented here are in support of the evaluation efforts of the satellite-based actual Evapotranspiration (ETa) using the Operational Simplified Surface Energy Balance (SSEBop) model. The ETa data is currently used by the U.S. Geological Survey Famine Early Warning System Network (FEWS NET) to produce and post multitemporal ETa and ETa anomalies online on a regular basis for drought monitoring and early warning purposes and are freely available for download at https://earlywarning.usgs.gov/fews/.
Categories: Data;
Tags: Actual Evapotranspiration,
Land Use Change,
MODIS,
Remote Sensing,
SSEBop model,
The Republic of the Marshall Islands (RMI) is a nation of more than thirty low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone (EEZ) over 770,000 square miles in the tropical central North Pacific Ocean. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed Island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. A team of USGS scientists and managers of natural resources and natural hazards in the RMI used IMERG (Integrated Multi-satellitE Retrievals for GPM) satellite estimates of precipitation to develop content and a template for timely monthly reporting...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ailinglaplap Atoll,
Ailuk Atoll,
Arno Atoll,
Aur Atoll,
Ebon Atoll,
The estimation and mapping of actual evapotranspiration (ETa) is an active area of applied research in the fields of agriculture and water resources. Thermal remote sensing-based methods, using coarse resolution satellites, have been successful at estimating ETa over the conterminous United States (CONUS) and other regions of the world. In this study, we present CONUS-wide ETa from Landsat thermal imagery-using the Operational Simplified Surface Energy Balance (SSEBop) model in the Google Earth Engine (GEE) cloud computing platform. Over 150,000 Landsat satellite images were used to produce 10 years of annual ETa (2010-2019). The accuracy assessment of the SSEBop results included point-based evaluation using monthly...
The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication is providing the supporting data for the updated methods and provides evaluation results for the United States and the Greater Horn of Africa.
Categories: Data;
Types: Downloadable;
Tags: CONUS,
Evapotranspiration,
Greater Horn of Africa,
Hydrology,
Land Use Change,
Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, enhancing a more complete understanding of broad-scale ecosystem processes. This data release presents maps of estimates of annual gross primary production (GPP) and annual ecosystem respiration (RE) that were derived from weekly summaries of gross photosynthesis (Pg) and ecosytem respiration (Re). To conduct this study we used carbon data from flux towers that are scattered strategically across the conterminous United States (CONUS). We also calculate and present a map of average annual net ecosystem production (NEP). We present and analyze...
Water management starts with the understanding of the spaciotemporal distribution of the available water, uses, and losses. A planet with limited water resources needs accurate, reliable and frequently-updated data and tools to assess and monitor historical and current uses and plan for future needs. Scientists at EROS harness massive amounts of satellite and global weather datasets and integrate them with agro-hydroloic models to create multi-scale products for use by resource managers and researchers across the world for improved decision making and scenario building in water, agriculture, and natural resources. Agro-hydrologic research focuses on hydrologic processes between 2-m below and 2-m above the ground...
Switchgrass (Panicum virgatum L.), a highly productive perennial grass, has been recommended as one potential source for cellulosic biofuel feedstocks. Previous studies indicate that planting perennial grasses (e.g., switchgrass) in high topographic relief cropland waterway buffers can improve local environmental conditions and sustainability. The main advantages of this land management practice include (1) reducing soil erosion and improving water quality because switchgrass requires less tillage, fertilizers, and pesticides; and (2) improving regional ecosystem services (e.g., improving water infiltration, minimizing drought and flood impacts on production, and serving as carbon sinks). In this study, we mapped...
Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Land Use Change,
NDVI,
USGS Science Data Catalog (SDC),
United States,
biomass,
NASS USDA estimates the irrigated croplands at county level every five years. But this estimation does not provide the geospatial information of the irrigated croplands. To provide a comprehensive, consistent, and timely geospatially detailed information about irrigated cropland conterminous U.S. (CONUS), the "Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)" product was produced by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center with funding from several USGS programs (National Land Imaging and National Water-Quality Assessment). A primary objective was to identify, and map irrigated agricultural areas to...
This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
Categories: Data;
Types: Data,
Downloadable,
Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Africa,
Hydrology,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational fashion from satellite time-series data. The USGS made the decision to develop 2022 CONUS phenology metrics using S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) because of the decommissioning of Aqua C6 MODIS sensor in the near future. The readily available and consistently processed smoothed EROS VIIRS (eVIIRS) maximum Normalized...
Note: This data release is currently under revision and is temporarily unavailable. Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced eight metrics identifying the sustainable...
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced two metrics identifying the sustainable growth characteristics of 16 EAG species throughout level III Commission for Environmental...
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational fashion from satellite time-series data. The phenological metrics data produced at USGS EROS provide indicators of key phenological events for the conterminous United States on a yearly basis based on Collection 6 Aqua eMODIS NDVI input data (for the 2003 - 2020 metrics). As the objective is to monitor the phenological dynamics of the...
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