Enhancing Global Surface Soil Moisture Estimation From ESA CCI and SMAP Product With a Conditional Variational Autoencoder

High-quality soil moisture (SM) estimation is crucial for various applications, including drought monitoring, environmental assessment, and agricultural management. Advances in remote sensing technology have enabled the retrieval of near real-time Earth surface SM using both active and passive senso...

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Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 17; s. 9337 - 9359
Hlavní autoři:	Shi, Changjiang, Zhang, Zhijie, Xiong, Shengqing, Zhang, Wanchang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Agricultural management Algorithms Benchmarks Climate change Conditional variational autoencoder (CVAE) Correlation coefficient Correlation coefficients Data models Drought Earth surface Environmental assessment Environmental Impact Assessment Environmental management Environmental monitoring ESA climate change initiative (CCI) Land cover Land surface Microwave theory and techniques Moisture Moisture content product reconstruction Remote sensing Retrieval Satellite orbits Sensors SMAP L4 Soil moisture Soil quality Soil surfaces Spatial discrimination Spatial resolution surface soil moisture (SM) Temporal resolution
ISSN:	1939-1404, 2151-1535
On-line přístup:	Získat plný text
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