Results 51 to 60 of about 5,325,765 (204)

Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data

Remote Sensing, 2017
The Soil Moisture Active Passive (SMAP) satellite makes coincident global measurements of soil moisture using an L-band radar instrument and an L-band radiometer.
Yayong Sun, Shifeng Huang, Jianwei Ma, Jiren Li, Xiaotao Li, Hui Wang, Sheng Chen, Wenbin Zang   +7 more
doaj   +1 more source

Development of a New Generic AI Model for Spatio‐Temporal Prediction of Soil Moisture and Soil Water Isotopes

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Understanding water fluxes and mixing dynamics in the unsaturated zone is crucial for ecohydrological studies. Yet, observations of soil moisture and soil water isotopes remain limited in spatial extent and temporal resolution, restricting modeling studies on the critical zone. A data‐driven Artificial Intelligence (AI) approach was applied in
Hyekyeng Jung, Dörthe Tetzlaff, Kristina Yordanova, Chris Soulsby   +3 more
wiley   +1 more source

The Role of Assimilating Deep Learning‐Enhanced AMSR‐E/2 Observations in European Soil Moisture Reanalysis

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Soil moisture is an essential climate variable that controls the exchange of water and energy between land and atmosphere, directly impacting land surface feedbacks. Satellite‐derived soil moisture provides valuable large‐scale information, but long‐term applications are limited by sensor lifespans, retrieval noise, and systematic biases ...
Visakh Sivaprasad, Johannes Keller, Yorck Ewerdwalbesloh, Anne Springer, Harrie‐Jan Hendricks Franssen, Harry Vereecken, Carsten Montzka   +6 more
wiley   +1 more source

Remote Sensing Hydrology Revisited: Advances, Persistent Challenges, and a Science‐Driven Agenda for the Next Decade

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract In the WRR 50th Anniversary Special Collection, Lettenmaier et al. (2015, https://doi.org/10.1002/2015WR017616) provided a timely account of how satellite remote sensing evolved from a niche capability in hydrology into a mainstream driver of hydrologic discovery, as the community shifted from imagery toward validated Earth Observation (EO ...
Yang Hong, Dennis P. Lettenmaier, Efi Foufoula‐Georgiou, Ana Barros, George J. Huffman, James S. Famiglietti, Dawen Yang, Tamlin M. Pavelsky, Soroosh Sorooshian, Taikan Oki, Siyu Zhu, Mengye Chen, Songkun Yan   +12 more
wiley   +1 more source

The NASA Soil Moisture Active Passive (SMAP) Mission: Overview [PDF]

, 2011
The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council?s Decadal Survey [1].
O'Neill, Peggy, Njoku, Eni, Kellogg, Kent, Entekhabi, Dara   +3 more
core  

Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns

Science of Remote Sensing
This study developed a random forest approach for downscaling the coarse-resolution (36 km) soil moisture measured by The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) mission to 1 km spatial resolution ...
Elaheh Ghafari, Jeffrey P. Walker, Liujun Zhu, Andreas Colliander, Alireza Faridhosseini   +4 more
doaj   +1 more source

Beyond SMAP: Can GNSS‐R Platforms Ensure Continuity of Global Soil Moisture Observations?

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract The absence of a definitive follow‐on strategy for the Soil Moisture Active Passive (SMAP) mission, which has already surpassed its planned mission lifetime, presents a significant challenge for the hydrological science community. GNSS‐Reflectometry (GNSS‐R), which exploits reflected satellite navigation signals, has emerged as a rapidly ...
Ehsan Jalilvand, Sujay V. Kumar, Rajat Bindlish, Jerry W. Wegiel, Mehmet Kurum, Hyunglok Kim, Pang‐Wei Liu, Mahdi Navari   +7 more
wiley   +1 more source

Reconstruction of a Global 9 km, 8-Day SMAP Surface Soil Moisture Dataset during 2015–2020 by Spatiotemporal Fusion

Journal of Remote Sensing, 2022
Soil moisture, a crucial property for Earth surface research, has been focused widely in various studies. The Soil Moisture Active Passive (SMAP) global products at 36 km and 9 km (called P36 and AP9 in this research) have been published from April 2015.
Haoxuan Yang, Qunming Wang, Wei Zhao, Xiaohua Tong, Peter M. Atkinson   +4 more
doaj   +1 more source

Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau, Nurfashareena Muhamad, Aida Soraya Shamsuddin, Zulfaqar Sa'adi, Zaini Sakawi, Oliver Valentine Eboy, Nik Norliati Fitri Md Nor   +6 more
wiley   +1 more source

Enhancing the Spatial Applicability of SMAP Soil Moisture Using Multi-Stage Machine Learning Downscaling

Remote Sensing
The Soil Moisture Active Passive (SMAP) mission provides global soil moisture (SM) observations with high temporal frequency and broad spatial coverage, valuable for hydrological and agricultural applications.
Jeonghwan Park, Jisung Geba Chang
doaj   +1 more source