Data

The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty atolls and islands, most of which are inhabited, dispersed across an exclusive economic zone (EEZ) over 2 million square kilometers. This data release contains raster datasets for vegetation and water monitoring including Normalized Differenc

These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence m

On vegetated landscapes, Evapotranspiration (ET) can be simplified as the combination of evaporation from the soil and transpiration from vegetation. Actual ET (ETa) is produced using the Operational Simplified Surface Energy Balance (SSEBop) model Version 6 (Senay et al., 2013, 2020, 2023) from 2012 to Present using a data stream from the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard

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 produ

U.S. Geological Survey (USGS) and University of Hawaii - Manoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu'uhonua O Honaunau National Historical Park on the Big Island of Hawaii. The data collection efforts utilized a combination of remote sensing technologies to map the topography, critical infrastructure, and most importantly, the cultural assets o

Invasion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum), red brome (Bromus rubens), and medusahead (Taeniatherum caput-medusae), could have irreversible degradation impact to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of these EAG species are highly influenced by weather variables such as temperature and precipitation. We

Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average precipitation during 2018-2019. YSC can increase nitrogen (N) levels and potentially cause broad changes in the composition of native plant species communities. There is little knowledge of the drivers behind its spatiotemporal variability,

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 possibl

Information on the spatio-temporal distribution of rainfall is critical for addressing water-related disasters, especially in the Middle East and North Africa's (MENA) arid to semi-arid regions.  However, the availability of reliable rainfall datasets for most river basins is limited.  In this study, we utilized observations from satellite-based rainfall data, in situ rain gauge observations, and

The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty atolls and islands, most of which are inhabited, dispersed across an exclusive economic zone (EEZ) over 2 million square kilometers. This data release contains files of daily precipitation estimates beginning in 2001 for 23 inhabited sites in

We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: 1) Google Earth Engine (GEE) and 2) Earth Resources Observation and Science (EROS) Center Science Proc

Global alfalfa-reference potential evapotranspiration (ETr) is a key model parameter in actual evapotranspiration (ETa) modeling for worldwide applications. This dataset was constructed for use with the Operational Simplified Surface Energy Balance (SSEBop) model as a key driver of the final ETa magnitude. SSEBop is a parametric energy balance-based model that determines actual ET as the product o