Advances in Remote Sensing for Crop Monitoring and Yield Estimation

Dear Colleagues,

Global food security will remain a worldwide concern, especially in the face of challenges from climate change, population growth, water scarcity, environmental degradation, and biodiversity loss. Improving yields and maintaining agricultural sustainability through argoecological approaches and scientific farming management are of the utmost importance. The use of remote sensing in monitoring crop conditions and production estimates has proven to be very useful and supportive for agricultural management from local to regional, continental, and global scales. Many previous efforts have been made to advance the monitoring of crop conditions including the blooming and phenology cycle, health and productivity, drought and heat stress, and other processes. These remote sensing based indicators of critical crop conditions are always integrated with crop characteristics, climatic and soil variables, and auxiliary variables to build yield prediction models for cost-effective estimates of crop productions at different spatial-temporal scales.

Nowadays, the emerging satellite missions, remote sensing sensors, geospatial big data, and the development of artificial intelligence and machine learning have provided further new opportunities for a better understanding of the crop’s physical and biophysical process. This Special Issue calls for innovative data, methods, and analysis techniques for remote sensing-based crop monitoring and yield estimations. Acceptable topics include, but are not limited to, crop condition monitoring, crop phenology, crop stress detection, remote sensing indicators of crops, crop yield prediction, controls on yield potentials, drivers of yield variability, and multi-source data integration for sustainable agriculture.

Being at the boundary between remote sensing science and land science, the “Advances in Remote Sensing for Crop Monitoring and Yield Estimation” Special Issue is jointly organized between “Remote Sensing” and “Land” journals.

You may choose our Joint Special Issue in Remote Sensing.

Dr. Bin Chen
Dr. Yufang Jin
Prof. Dr. Le Yu
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 250 words) can be sent to the Editorial Office for assessment.

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. Land is an international peer-reviewed open access monthly 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 2600 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.