Topics Webinar | EO&GEO Series: Soil Moisture Retrieval from Remote Sensing Data
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EO&GEO Series: Soil Moisture Retrieval from Remote Sensing Data
Soil moisture plays a crucial role in the exchange of water and energy within the soil–plant–atmosphere system. Its significance is acknowledged across a spectrum of environmental disciplines, encompassing meteorology, hydrology, agriculture, and climate change studies. Consequently, the precise monitoring and estimation of the spatial and temporal fluctuations in soil moisture are of special importance.
Remote sensing technologies have revolutionized our ability to monitor soil moisture dynamics at a regional scale. Satellite-based remote sensing offers a global-scale perspective with continuous spatiotemporal resolution, making it a cornerstone for soil moisture estimation. During the last several decades, significant progress has been made in estimating soil moisture from remote sensing data. Advancements in both active and passive remote sensing technologies, satellite remote sensing, drone technologies, and data assimilation methods have been able to provide soil moisture estimations at different spatial scales from meters to tens of kilometers, as well as temporal resolutions from hours to daily.
However, obtaining reliable soil moisture information at the required spatial/temporal resolution and along soil depth with a high accuracy level is still challenging, especially due to highly variable soil moisture behavior on its spatiotemporal domains and its complex relationships with forcing factors such as vegetation, soil texture, topography, and meteorology. The retrieval of soil moisture remains challenging due to limited satellite observations, the high correlation between different polarizations, angles and channels, as well as uncertainties in radiative transfer models and ancillary datasets.
In this webinar, it's our great honor to invite Prof. Dr. Arnon Karnieli to discuss soil moisture retrieval from remote sensing data. He will talk about the OPTRAM model and its applications in worldwide rangelands. The Chair-Prof. Dr. Maofang Gao will talk about soil moisture retrieval from L band SAR data.
Date: 12 February 2025
Time: 8:00 am CET | 3:00 pm CST Asia | 9:00 am EET
Webinar ID: 868 0301 6682
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Prof. Dr. Arnon Karnieli
The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker, Israel;
Prof. Arnon Karnieli (Mail) received his Ph.D. from the University of Arizona, Tucson, in 1988. Since then, he has been the Head of the Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker Campus, Israel. His primary research is focused on processing spaceborne, airborne, and ground spectroscopic data of drylands concerning desertification and climate change processes. In this regard, his study’s applications cover dryland ecosystems and agriculture, and to a lesser extent, dust/aerosols and coastal water. He has experience in land-use and land-cover change, spectral, spatial, and temporal analyses. Prof. Karnieli is the Israeli Principal Investigator of the Vegetation and Environmental New Micro Spacecraft (VENμS) mission. Until recently, Prof. Karnieli supervised tens of Master students, 15 Ph.D. students, and several post-docs. Prof. Karnieli has published more than 250 papers in peer-reviewed journals. His H index = 52 (ISI).
Prof. Dr. Maofang Gao
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China;
Maofang Gao, PhD., Professor. Youth Chief of Agricultural Remote Sensing Innovation Team, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences. She has been engaged in agricultural remote sensing, remote sensing and crop model assimilation research for more than 20 years. She is the project leader of several national project from National Natural Science Foundation of China and Ministry of Science and Technology. She published more than 50 peer review paper in international famous journals. She has 9 national invention patents with first author.
Sponsors and Partners
Organizer
Root-Zone Soil Moisture Retrieval and Applications from Remote Sensing Measurements
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Deadline for Manuscript Submissions: 31 August 2025
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Deadline for Manuscript Submissions: 28 February 2025
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The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.