Hydro-Geoinformatics and Advanced Remote Sensing Technologies for Sustainable Agriculture
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 2
Special Issue Editors
Interests: AI (machine learning/deep learning); multisource data fusion; polarimetric SAR data analysis; crop yield; biomass; biodiversity; soil moisture
Special Issue Information
Dear Colleagues,
Hydro-geoinformatics and advanced remote sensing technologies are transforming sustainable agricultural practices by enabling precise, large-scale, and data-driven monitoring of soil, water, and crop dynamics. These tools provide new insights into spatial variability, water availability, vegetation status, and productivity, thereby supporting more informed and efficient agricultural decision-making.
This Special Issue of Remote Sensing aims to bring together high-quality research on emerging methodologies, applications, and case studies that leverage hydro-topographic analysis, geospatial modeling, and remote sensing data fusion for advancing sustainable agriculture. We particularly welcome interdisciplinary studies that integrate physical processes, sensor technologies, and data-driven analytics in agricultural systems.
Potential topics include, but are not limited to, the following:
- Spatiotemporal hydro-topographic modeling for agricultural land management;
- Integration of multisource remote sensing data (e.g., SAR, Muti-/Hyper-Spectral, LiDAR, and UAV) for agricultural monitoring;
- Integration of Earth observation data with cloud-based geoinformatics platforms (e.g., Google Earth Engine) for hydrological and environmental applications in agriculture;
- Soil moisture estimation and its relationship to crop yield and biomass;
- AI techniques (machine learning and deep learning) for analyzing spatiotemporal variability in crop yield and prediction;
- Phenological mapping using optical and radar vegetation indices with metrological data;
- Case studies on hydrological remote sensing in agricultural and environmental applications.
Dr. Jisung Geba Chang
Dr. Jeonghwan Park
Guest Editors
Manuscript Submission Information
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Keywords
- precision agriculture
- sustainable agricultural management
- hydro-geoinformatics and ai
- phenological mapping
- crop pattern analysis and crop yield prediction
- soil–water–crop dynamics
- soil moisture estimation
- multisource data fusion (polarimetric SAR, LiDAR, multi-/hyper-spectral)
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