Mapping Essential Elements of Agricultural Land Using Remote Sensing (2nd Edition)

Dear Colleagues,

Agricultural remote sensing technology plays a crucial role in modern agriculture, especially in identifying and monitoring key elements of agricultural land, including farmland, grassland, etc. By utilizing remote sensing data, we can effectively classify, monitor, and manage agricultural land to enhance its yield and quality. Mapping and analyzing the essential elements of agricultural land is an important task, including soil types, vegetation cover, water resource distribution, climate variance, etc. By conducting remote sensing monitoring and mapping of agricultural land, precision agricultural management can be achieved, thereby enhancing land utilization efficiency while also reducing resource waste and environmental pollution. Moreover, it can provide scientific basis for agricultural decision-making, assisting farmers in formulating more rational planting plans for improving agricultural production stability and sustainability.

Therefore, to better excavate immense potential and promising prospects in key elements of agricultural land by leveraging remote sensing technology, this Special Issue aims to invite original and innovative research on applications of multi-source remote sensing for mapping essential elements of agricultural land by using mathematical statistics, machine learning, and deep learning methods or other state-of-the-art approaches.

The research areas may include (but are not limited to) the following:

• Agricultural land thematic information mapping;
• Multi-sensor imagery fusion;
• Near real-time remote sensing monitoring of plant growth;
• Water–food–energy–environment tradeoff and synergies in agricultural land supported by remote sensing;
• Agricultural soil health diagnosis;
• Machine learning or deep learning for near-real-time monitoring of plant growth.

We look forward to your contributions.

Dr. Luo Liu
Dr. Jilin Yang
Prof. Dr. Fei Li
Dr. Yaqun Liu
Dr. Wenzhi Zhao
Guest Editors

Manuscript Submission Information

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