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Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 182

Special Issue Editors


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Guest Editor
Ingeniería Topográfica y Cartografía, Universidad Politécnica de Madrid, Madrid, Spain
Interests: GIS; optical and radar remote sensing; UAV; satellite images; photogrammetry; precision agriculture
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Engineering, Department Machinery Utilization, Czech University of Life Sciences Prague, Prague, Czech Republic
Interests: GIS; optical remote sensing; UAV; satellite images; photogrammetry; precision agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The introduction to the Special Issue “Advancements in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale” provides a vital scientific background, underscoring the paramount importance of this research area. In the ever-evolving landscape of agriculture, the integration of cutting-edge technologies is crucial for enhancing precision and sustainability. Remote sensing emerges as a linchpin in this pursuit, acting as a transformative tool that enables a comprehensive understanding of agricultural systems.

The precision agriculture paradigm, incorporating techniques such as photogrammetry, UAVs, and artificial intelligence, aligns seamlessly with the capabilities of remote sensing technologies. Satellite-, drone-, and field instrument-derived data play a pivotal role in unraveling the complexities of agricultural monitoring, providing invaluable insights into yield variations, crop health, and overall ecosystem dynamics.

This introduction sets the stage for a deeper exploration of how remote sensing acts as a catalyst for innovation in the agricultural domain. By establishing the synergy between the chosen thematic focus and the capabilities of remote sensing, this Special Issue aims to propel advancements that contribute to the evolution of sustainable and ecologically conscious agricultural practices at both field and regional scales.

The incorporation of all new techniques in the use of remote sensing and in the knowledge of agriculture at the local level, with new sensors that make remote sensing behave as a source of temporal data and learning in monitoring systems using artificial intelligence, makes it necessary to exchange all types of experience with the different sensors installed on any type of platform and in this way advance ecological and sustainable agriculture.

This dedicated Special Issue, titled “Advancements in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scales”, is currently in the planning stages for publication in the Remote Sensing journal. We invite submissions of research or review articles related to agricultural monitoring, with a specific emphasis on ecological and sustainable farming practices. Contributions should prominently feature remotely sensed data derived from satellites, drones, or field instruments as primary data sources. Researchers and experts in the field are encouraged to contribute their insights and findings to enhance our understanding of the application of remote sensing in the context of agriculture. Your valuable submissions will contribute to the comprehensive exploration of cutting-edge techniques and methodologies in the realm of agricultural monitoring.

Dr. Jose Antonio Dominguez-Gómez
Dr. Jitka Kumhálová
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

  • precision agriculture
  • photogrammetry
  • UAV
  • yield monitoring
  • crop monitoring
  • agricultural monitoring
  • artificial intelligence

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.

We invite submissions of research or review articles related to agricultural monitoring, with a specific emphasis on ecological and sustainable farming practices. Contributions should prominently feature remotely sensed data derived from satellites, drones, or field instruments as primary data sources. Researchers and experts in the field are encouraged to contribute their insights and findings to enhance our understanding of the application of remote sensing in the context of agriculture. Your valuable submissions will contribute to the comprehensive exploration of cutting-edge techniques and methodologies in the realm of agricultural monitoring.

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