Special Issue "Remote Sensing for Crop Stress Monitoring and Yield Prediction"
Deadline for manuscript submissions: 28 February 2022.
Interests: drought detection; microwave-based soil moisture retrieval; land data assimilation
Interests: crop monitoring; machine learning; remote sensing; detection and mapping; spatial analysis
Interests: water and agriculture resources; biosphere-atmosphere interactions; global change and the Earth system
Interests: vegetation dynamics; water and carbon balances; ecophysiological consequences of climate change on terrestrial ecosystems
Special Issues and Collections in MDPI journals
Understanding and predicting crop stress and yield with changing climate is critical for designing effective adaptation and mitigation strategies. Recently, numerous studies have been conducted for multi-scale crop stress monitoring and climate impact assessment, using various data sources and novel algorithms. This Special Issue is designed to synthesize recent advances in utilizing remote sensing for cropland and irrigation mapping, crop growth assessment, crop water and heat stress monitoring, as well as yield prediction. Studies combing remote sensing and process-based/statistical models for better yield prediction under extreme weather (e.g., droughts, floods, heatwaves, heavy winds) and quantifying the associated uncertainties through inter-method and inter-model comparisons are especially welcomed.
Dr. Jianxiu Qiu
Dr. Xiaohu Zhang
Dr. Zhenzhong Zeng
Dr. Gabriel de Oliveira
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 papers will be 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 2400 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.
- crop monitoring
- crop yield prediction
- multi-scale modeling
- multi-source data fusion
- climate impact assessment