Skip to main content
Advanced Search

Filters: System Type: Data Release (X) > Categories: NOT Data Release - In Progress (X) > Tags: {"type":"Subject","name":"remote sensing"} (X)

5 results (15ms)   

Filters
Date Range
Types (Less)
Contacts (Less)
Categories (Less)
Tags (with Type=Subject )
View Results as: JSON ATOM CSV
thumbnail
The Middle East and North Africa (MENA) region is the most water-scarce region with only two percent of the global average annual rainfall, hence underground aquifers are the major source of water. The need to improve water productivity and increase aquifer storage and recovery (ASR) is driving the efforts for this acceleration of aquifer storage and recovery project. The objective was to model runoff in the study area using multi-source satellite data and identify regions of runoff retention and recharge. Daily runoff is simulated using a saturation excess principle with the VegET model (Senay 2008). It is a spatially explicit (500m grid cell), one-dimensional root-zone water balance model that is driven by precipitation,...
thumbnail
Information on the spatio-temporal distribution of rainfall is very critical for addressing water related disasters, especially in the arid to semi-arid regions of the Middle East and North Africa region. However, availability of reliable rainfall datasets for the region is limited. In this study we combined observation from satellite-based rainfall data, in situ rain gauge observation and rainfall climatology to create a reliable regional rainfall dataset for Jordan, West Bank and Lebanon. First, we validated three satellite-based rainfall products using rain gauge observations obtained from Jordan (205 stations), Palestine (44 stations) and Lebanon (8 stations). We used the daily 25-km Tropical Rainfall Measuring...
thumbnail
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...
thumbnail
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 Processing Architecture (ESPA). Evaluation was conducted by comparing modeled actual evapotranspiration (ETa) estimates with AmeriFlux Eddy Covariance (EC) and water balance ETa from level-8 Hydrologic Unit Code sub-basins in the conterminous United States for five water-years (Oct-Sep; 2009, 2011, 2013, 2016, 2018). The results...
thumbnail
Glacial retreat and mountain-permafrost degradation resulting from rising global temperatures have the potential to impact the frequency and magnitude of landslides in glaciated environments. In the Saint Elias Mountains of southeast Alaska, the presence of weak sedimentary and metamorphic rocks and active uplift resulting from the collision of the Yakutat and North American tectonic plates create landslide-prone conditions (Winkler et al., 2000). We used Landsat imagery to create an inventory of large (>0.1 square km) rock avalanches that occurred along the south flank of the Saint Elias Mountains between 1984 and 2019 as a baseline for present and future changes in landslide magnitude and frequency. This data...


    map background search result map search result map Modeling accumulated surface runoff and water availability for aquifer storage and recovery in the MENA region from 1984-2015 Inventory data of rock avalanches in the Saint Elias Mountains of southeast Alaska, derived from Landsat imagery (1984-2019) Assembly of satellite-based rainfall datasets in situ data and rainfall climatology contours for the MENA region Actual Evapotranspiration at Landsat scale for CONUS from 2010-2019 Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model Inventory data of rock avalanches in the Saint Elias Mountains of southeast Alaska, derived from Landsat imagery (1984-2019) Modeling accumulated surface runoff and water availability for aquifer storage and recovery in the MENA region from 1984-2015 Assembly of satellite-based rainfall datasets in situ data and rainfall climatology contours for the MENA region Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model Actual Evapotranspiration at Landsat scale for CONUS from 2010-2019