Mapping Essential Elements of Agricultural Land Using Remote Sensing

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 and 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, enhancing land utilization efficiency while reducing resource waste and environmental pollution. Moreover, it can provide scientific basis for agricultural decision-making, assisting farmers in formulating more rational planting plans to improve agricultural production stability and sustainability. In summary, excavate immense potential and promising prospects in mapping key elements of farmland.

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 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.

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.