Results 1 to 10 of about 17,914 (118)
Remote Sensing, 2022 An approach to developing a blended satellite-rainfall dataset over Australia that could be suitable for operational use is presented. In this study, Global Satellite Mapping of Precipitation (GSMaP) satellite precipitation estimates were blended with ...
Qian Sun, Yuriy Kuleshov, Suelynn Choy
exaly +3 more sources
Satellite-Based Flood Modeling Using TRMM-Based Rainfall Products
Sensors, 2007 Increasingly available and a virtually uninterrupted supply of satellite-estimatedrainfall data is gradually becoming a cost-effective source of input for flood predictionunder a variety of circumstances.
Faisal Hossain, Amvrossios C. Bagtzoglou
exaly +3 more sources
Remote Sensing, 2023 Rainfall-triggered flood and landslide hazards pose significant threats to human lives and infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall data sets—namely, CMORPH, GPM, and TRMM—for the prediction of ...
Sheng Wang +5 more
doaj +1 more source
Investigating the merits of gauge and satellite rainfall data at local scales in Ghana, West Africa
Weather and Climate Extremes, 2020 Recently increased concerns and potential consequences of the limitation in gauge measurements in Africa have heightened the availability of high Spatio-temporal satellite-based rainfall data for various applications.
Winifred Ayinpogbilla Atiah +2 more
doaj +1 more source
Engineering Reports, 2021 Recent advancements in the field of remote sensing have led to the development of high resolution satellite‐based rainfall products to improve the quality of observed rainfall data through proper evaluation and validation process of the products.
Chala Daba Geleta, Tesema Adamu Deressa
doaj +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 Hydro-morphological processes (HMP, i.e. all processes contained within the spectrum defined between debris flows and flash floods) initiate in response to intense rainfall events.
Nan Wang +6 more
doaj +1 more source
Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation
Atmosphere, 2020 Accurate rainfall detection and estimation are essential for many research and operational applications. Traditional rainfall detection and estimation techniques have achieved considerable success but with limitations.
Kingsley K. Kumah +5 more
doaj +1 more source
Atmosphere, 2015 Topography is a significant factor influencing the spatial distribution of precipitation. This study developed a new methodology to evaluate and calibrate the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products by ...
Ting Xia, Zhong-Jing Wang, Hang Zheng
doaj +1 more source
Journal of Integrative Environmental Sciences, 2019 Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms,
Qin Jiang +6 more
doaj +1 more source
Short-term forecasting of typhoon rainfall with a deep-learning-based disaster monitoring model
Environmental Data Science, 2023 Accurate and reliable disaster forecasting is vital for saving lives and property. Hence, effective disaster management is necessary to reduce the impact of natural disasters and to accelerate recovery and reconstruction.
Doyi Kim +4 more
doaj +1 more source