Crop Biophysical Parameters Retrieval Using Remote Sensing Data (Second Edition)

Dear Colleagues,

Crop biophysical parameters are essential for exploring crop growth dynamics and determining optimized strategies for crop management. High-throughput estimation of spatial–temporal biophysical parameters can accelerate crop research or breeding efficiency and prompt intelligent agriculture development. Remote sensing can provide timely, rapid, noninvasive, and efficient access to crop biophysical parameters. Crop biophysical traits including morphological parameters, spectrum and texture characteristics, physiological traits, and responses to abiotic/biotic stress under different environments have been retrieved by various remote sensing platforms and sensors (e.g., digital camera, multispectral camera, hyperspectral imager, thermal imager, and light detection and ranging (LiDAR) systems). All these technologies have been achieved with the development of engineering, computer science, plant physiology, molecular research, and bioinformatics. Considering the complex environment that crops grow with, the precise and robust retrieval of biophysical information still faces challenges. At the same time, various novel methods and technologies are being developed by scientists in varying fields, especially beyond the agricultural field. Research outputs from different fields need to be gathered to gain more quantitative knowledge of the structure and function of plants.

This Special Issue invites studies covering crop biophysical parameter retrieval through different remote sensing platforms and sensors coupled with diversified inversion methods. Original research articles and reviews are welcome, especially in crop biophysical parameter retrieval with multisource data integration and multiscale approaches. Research areas may include (but are not limited to) the following:

• Crop biophysical parameter retrieval;
• High-throughput crop phenotyping;
• Crop growth monitoring;
• Crop morphological parameters;
• Crop physiological traits;

We look forward to receiving insightful contributions.

Dr. Jiangang Liu
Dr. Bo Li
Prof. Dr. Zhenjiang Zhou
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. 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.