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Special Issue "Advances of Multi-Temporal Remote Sensing in Vegetation and Agriculture Research"
Deadline for manuscript submissions: 31 March 2020.
Interests: optical and radar integration for agriculture application
Interests: remote sensing; crop and soil biophysical parameters estimation; crop productivity; agri-environmental sustainability assessment
Interests: earth observation; agro-climate data; soil moisture; drought monitoring; crop yield estimation
Special Issues and Collections in MDPI journals
Interests: remote sensing application in agriculture; bio-geophysical properties estimation; crop phenology; data assimilation
The dynamics of vegetated lands reflect the combined effects of human beings, climate, and the environment. Remote sensing is able to obtain spatial-temporal information of land surface conditions; thus, it is considered a powerful tool to study the driving forces of vegetation dynamics. In more recent years, with the rapid development of hardware, software, and data analysis algorithms, the breadth and depth of remote sensing-based research and applications have expanded tremendously. In particular, with the increased emphasis on climate change and its associated ecological impact, there has been a rising demand in using multi-temporal remote sensing to study vegetation dynamics, greenhouse gas emission, and agricultural production and adaptation under frequent extreme weather events. From a precision farming perspective, multi-temporal remote sensing has been routinely used for monitoring crop growth conditions and pest and disease invasions.
This Special Issue invites contributions showcasing multi-temporal remote sensing applications from vegetation (forest, grassland, and wetland) and agriculture from various platforms (satellite, aircraft, and UAV), sensors (optical, thermal, and radar), and scales (global, national and regional), spanning a wide range of topics including but not limited to the following areas:
- Long-term vegetation monitoring;
- Assimilation of multi-temporal/sensor data into process-based crop/ecological models;
- Loss of agricultural land;
- Wetland dynamic;
- Deforestation and afforestation;
- Crop rotation patterns and cropping practices
- Impact of drought/flood on crop production and soil environment;
- UAV sensing in support of precision agriculture
Dr. Jiali Shang
Dr. Jiangui Liu
Dr. Catherine Champagne
Dr. Taifeng Dong
Dr. John Kovacs
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 2000 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.