Results 51 to 60 of about 1,203 (197)
Remote Sensing, 2022 Rainfall erosivity is an important indicator for quantitatively representing the erosive power of rainfall. This study expanded three satellite-based precipitation products (SPPs) for estimating and mapping rainfall erosivity in a subtropical basin in ...
Xianghu Li, Xuchun Ye, Chengyu Xu
doaj +1 more source
High-resolution precipitation datasets in South America and West Africa based on satellite-derived rainfall, Enhanced Vegetation Index and Digital Elevation Model [PDF]
, 2014 Mean Annual Precipitation is one of the most important variables used in water resource management. However, quantifying Mean Annual Precipitation at high spatial resolution, needed for advanced hydrological analysis, is challenging in developing ...
AMEZTOY ARAMENDI IBAN +3 more
core +1 more source
The PERSIANN family of global satellite precipitation data: a review and evaluation of products [PDF]
Hydrology and Earth System Sciences, 2018 Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products.
P. Nguyen +9 more
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Remote Sensing, 2021 Understanding rainfall processes as the main driver of the hydrological cycle is important for formulating future water management strategies; however, rainfall data availability is challenging for countries such as Ethiopia.
Girma Berhe Adane +3 more
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Remote Sensing, 2023 Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS,
Nitesh Awasthi +5 more
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Validation of a global satellite rainfall product for real time monitoring of meteorological extremes [PDF]
, 2017 The real time monitoring of storms is important for the management and prevention of flood risks. However, in the southeast of Spain, it seems that the density of the rain gauge network may not be sufficient to adequately characterize the rainfall ...
Cánovas García, Fulgencio +2 more
core +2 more sources
Remote Sensing, 2020 Management of water resources under climate change is one of the most challenging tasks in many arid and semiarid regions. A major challenge in countries, such as Yemen, is the lack of sufficient and long-term climate data required to drive hydrological ...
Ali Hamoud AL-Falahi +4 more
doaj +1 more source
Advances in Meteorology, 2017 In the last few years, satellite-based precipitation datasets are believed to be a potential source for forcing inputs in driving hydrological models, which are important especially in complex terrain areas or ungauged basins where ground gauges are ...
Alaa Alden Alazzy +5 more
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Remote Sensing, 2021 Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic ...
Ana Carolina Freitas Xavier +4 more
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Comprehensive evaluation of high-resolution satellite-based precipitation products over China [PDF]
, 2015 Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge ...
Bao, Anming +5 more
core +3 more sources