Remote Sensing of Crop Lands and Crop Production
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 40030
Special Issue Editors
Interests: agricultural crops and pastures; farming systems; remote sensing; crop modelling; applied statistics
Interests: remote sensing for agriculture production and monitoring; agriculture and climate change; crop modeling; finance and investment in agriculture; conservation; spatial data science
Special Issue Information
Dear Colleagues,
Since the development of the normalised difference vegetation index, scientists have realised that, globally, crops could be monitored with this surrogate indicator of plant health. Platforms such as Landsat and MODIS provide reliable, but occasionally fragmented, indicators of production. National crops are monitored to assist countries with managing the global food supply, and these efforts have evolved into products such as the GEOGLAM crop monitor.
In recent years, new satellites have become available, with higher resolutions and faster repeat times. The list of available satellites is growing, and SAR platforms can augment optical platforms. Constellations of micro-satellites now allow information to be collected at a high frequency with a very fine resolution. New platforms such as Google Earth Engine enable the sensing data to be utilised cheaply and efficiently so as to monitor crop production.
Yet, despite these advances, the remote sensing of crops must still overcome many challenges. Small-holder farms and fields can be difficult to monitor. Field boundaries need to be generated en-masse in order to enable researchers to switch to object-based classifications. The need for training data to both build and test models challenges every remote sensing scientist. Practicing agriculturalists also need to monitor crops in order to determine how to optimally treat and manage a field, and they require a remote sensing output to be delivered in a timely fashion on mobile devices. Thus, as the capability to monitor crops improves, the demand for new sensing products from industry increases. Factors such as timeliness, speed, computational efficiency, and coping with sparse data can all confound the efforts to sense crops. This Special Issue of Remote Sensing seeks to showcase the latest research in this important area, that will ultimately help us as a species to monitor and manage the global food supply. I look forward to receiving your contributions.
Dr. Roger Lawes
Dr. Aniruddha Ghosh
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.
Keywords
- Crop modelling
- Agricultural landscapes
- Remote sensing
- Food security
- Crop forecasting
- Biotic and abiotic stress
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.