Special Issue "Leveraging Remote Sensing Technologies to Estimate Crop Production: From Local to Global Applications"

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".

Deadline for manuscript submissions: 20 December 2021.

Special Issue Editors

Prof. Dr. Belen Franch
E-Mail Website
Guest Editor
Department of Geographical Sciences, University of Maryland, College Park, MD, USA
Interests: agriculture monitoring; remote sensing; precision farming; agriculture market monitoring (global scale); crop production; yield forecasting
Dr. Alberto San Bautista
E-Mail Website
Guest Editor
Departamento de Producción Vegetal, Universitat Politècnica de València, Camino de Vera 14, 46020 Valencia, Spain
Interests: vegetables production; greenhouses crops; soilless culture; plant nutrition; abiotic stresses; physiological disorder; vegetable grafting; hydroponic nutrient solution; nutrient uptake; germination; vegetable and fruit quality; water requirements; evapotranspiration; water quality and irrigation; cropping system; soil fertility; agronomy
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Special Issue Information

Dear Colleagues,

The current advances in Earth Observation (EO) technologies have revolutionized agricultural monitoring applications. Field and within-field scale applications are more feasible than ever, leveraging moderate and high spatial resolution satellite data acquired by the ESA Copernicus Sentinel 2 and Sentinel 1 satellites and their fusions with Landsat and the increasing number of micro- and nanosatellites such as PlanetScope or WorldView. Moreover, global scale agriculture applications can build on a 40-year legacy of daily land observations at coarse resolution in the solar spectral range dating back to the 1980s, with the advanced very high resolution radiometer (NOAA/AVHRR); and continuing with the moderate resolution imaging spectroradiometer (NASA/MODIS) and the visible infrared imaging radiometer suite (Raytheon/VIIRS).

In this Special Issue, we will compile state-of-the-art research that addresses crop production or yield forecasting applications leveraging EO technologies. Please see the keywords for an indication of the relevant topics. Review contributions are welcome.

Prof. Dr. Belen Franch
Dr. Alberto Bautista
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 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. Agriculture 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 1600 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 production monitoring
  • Yield forecasting
  • EO products
  • Machine learning
  • Global/Field/Within field scale

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Dear Colleagues,

The current advances in Earth Observation (EO) technologies have revolutionized agricultural monitoring applications. Field and within-field scale applications are more feasible than ever, leveraging moderate and high spatial resolution satellite data acquired by the ESA Copernicus Sentinel 2 and Sentinel 1 satellites and their fusions with Landsat and the increasing number of micro- and nanosatellites such as PlanetScope or WorldView. Moreover, global scale agriculture applications can build on a 40-year legacy of daily land observations at coarse resolution in the solar spectral range dating back to the 1980s, with the advanced very high resolution radiometer (NOAA/AVHRR); and continuing with the moderate resolution imaging spectroradiometer (NASA/MODIS) and the visible infrared imaging radiometer suite (Raytheon/VIIRS).

In this Special Issue, we will compile state-of-the-art research that addresses crop production or yield forecasting applications leveraging EO technologies. Please see the keywords for an indication of the relevant topics. Review contributions are welcome.

Prof. Dr. Belen Franch
Dr. Alberto Bautista
Guest Editors

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