A review of spatial downscaling of satellite remotely sensed soil moisture
Sign Up to like & getrecommendations! Published in 2017 at "Reviews of Geophysics"
DOI: 10.1002/2016rg000543
Abstract: Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote… read more here.
Keywords: downscaling satellite; satellite remotely; remotely sensed; soil ... See more keywords
Evaluation of remotely sensed rainfall products over Central Africa
Sign Up to like & getrecommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3547
Abstract: An intercomparison of seven gridded rainfall products incorporating satellite data (ARC, CHIRPS, CMORPH, PERSIANN, TAPEER, TARCAT, TMPA) is carried out over Central Africa, by evaluating them against three observed datasets: (a) the WaTFor database, consisting… read more here.
Keywords: evaluation remotely; central africa; rainfall products; remotely sensed ... See more keywords
Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales
Sign Up to like & getrecommendations! Published in 2018 at "Biological Invasions"
DOI: 10.1007/s10530-018-1700-9
Abstract: Non-native invasive plant species can influence ecosystem functioning over broad spatial scales, but most research on ecosystem impacts has focused on the plot level covering sampling units of only a few square meters or less.… read more here.
Keywords: spatial scales; prunus serotina; remotely sensed; plot level ... See more keywords
Using remotely sensed data to modify wind forcing in operational storm surge forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Natural Hazards"
DOI: 10.1007/s11069-017-2964-6
Abstract: Storm surges are abnormal coastal sea level events caused by meteorological conditions such as tropical cyclones. They have the potential to cause widespread loss of life and financial damage and have done so on many… read more here.
Keywords: wind; storm; wind forcing; sensed data ... See more keywords
Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
Sign Up to like & getrecommendations! Published in 2019 at "Agricultural Systems"
DOI: 10.1016/j.agsy.2019.03.015
Abstract: Abstract Agricultural drought is a natural hazard arising from insufficient crop water supply. Many drought indices have been developed to characterize agricultural drought, relying on either ground-based climate data or various remotely-sensed drought proxies. Ground-based… read more here.
Keywords: agricultural drought; south eastern; remotely sensed; sensed drought ... See more keywords
Reconstruction of remotely sensed daily evapotranspiration data in cloudy-sky conditions
Sign Up to like & getrecommendations! Published in 2021 at "Agricultural Water Management"
DOI: 10.1016/j.agwat.2021.107000
Abstract: Abstract The unavailability of thermal infrared satellite observations in cloudy conditions has limited the spatial distribution and temporal coverage of remotely sensed evapotranspiration (ET) data. As a result, a number of approaches have been developed… read more here.
Keywords: data cloudy; remotely sensed; cloudy; day ... See more keywords
Improved flood simulation accuracy by downscaling remotely sensed precipitation data in the Qixing Wetland Watershed
Sign Up to like & getrecommendations! Published in 2020 at "Ecological Engineering"
DOI: 10.1016/j.ecoleng.2020.106038
Abstract: Abstract Runoff is an important factor in maintaining the normal operation of wetland ecosystems. An effective runoff simulation can provide an important decision basis for wetland protection and ecological restoration. Aiming to make the spatial… read more here.
Keywords: flood simulation; sensed precipitation; wetland; remotely sensed ... See more keywords
Retrospective monitoring of the spatial variability of crystalline iron in soils of the east shore of Urmia Lake, Iran using remotely sensed data and digital maps
Sign Up to like & getrecommendations! Published in 2019 at "Geoderma"
DOI: 10.1016/j.geoderma.2018.11.024
Abstract: Abstract The soil ripening process can be defined as change in the soil/sediment matrix from exposure to air in previously inundated areas. Early pedogenesis crystalline iron oxide is one of the most important diagnostic criteria… read more here.
Keywords: sensed data; soil; remotely sensed; crystalline iron ... See more keywords
Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.07.014
Abstract: Abstract All-weather remotely sensed land surface temperature (LST) with a 1-km resolution from combined satellite passive microwave (MW) and thermal infrared (TIR) remote sensing data has been urgently needed during the past decades. However, due… read more here.
Keywords: temperature; sensed land; land surface; weather remotely ... See more keywords
Exploring the association between the built environment and remotely sensed PM2.5 concentrations in urban areas
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DOI: 10.1016/j.jclepro.2019.02.236
Abstract: Abstract Haze, especially PM2.5, poses a serious threat to public health in China. PM2.5 primarily originates from urban activities, and built environment may affect its formation and dispersion. Previous studies were based on limited data… read more here.
Keywords: remotely sensed; pm2 concentrations; sensed pm2; built environment ... See more keywords
Unsupervised detection of contextual anomaly in remotely sensed data
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.01.034
Abstract: Abstract Massive amounts of remotely sensed data are being generated at an unprecedented rate, offering new opportunities for data-driven scientific discovery in the Earth sciences and related domains. However, due to the sheer volume of… read more here.
Keywords: unsupervised detection; sensed data; detection contextual; remotely sensed ... See more keywords