Applied Remote Sensing in Irrigated Agriculture
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water, Agriculture and Aquaculture".
Deadline for manuscript submissions: closed (20 July 2025) | Viewed by 537
Special Issue Editors
Interests: remote sensing of agriculture and natural resources; irrigation water management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The goal of this Special Issue is to present the latest remote sensing technologies and approaches being used to monitor irrigated agriculture, estimate consumptive use by crops, and conduct irrigation scheduling. The remote sensing platforms presently used in agriculture include satellites, aircraft, and drones. The development of low-cost, high-resolution digital sensors have led to commercial constellations of satellites that provide high-resolution multispectral imagery at global scales, while aircraft and drones provide imagery at regional and field scales. Several energy balance modeling approaches that depend on multispectral and thermal infrared wavelengths have been improved and are operational. We encourage submitting papers describing the latest applications and models that use remote sensing inputs for conducting irrigation water demand estimates and irrigation scheduling.
We are pleased to invite you to submit a manuscript to this Special Issue titled “Applied Remote Sensing in Irrigated Agriculture.” This Special Issue aims to present the latest remote sensing-based models and approaches for monitoring water use and conducting irrigation water management in agriculture.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Remote sensing-based land surface energy balance for water resources management and irrigation;
- Remote sensing-based soil–water balance for sustainable irrigation practices;
- Development and application of innovative sensors for monitoring crop water demand and stress;
- Advances in hydrology and water resource modeling for efficient irrigation strategies;
- Atmospheric science and meteorological modeling for improved irrigation scheduling and climate adaptation;
- Remote sensing applications in evapotranspiration mapping for irrigated cropping systems;
- Leveraging UAV and satellite platforms for real-time irrigation decision support;
- Spatial and temporal variability of soil water content using remote sensing for irrigation optimization;
- Integration of remote sensing with machine learning for predicting crop yield and irrigation water demand.
We look forward to receiving your contributions.
Prof. Dr. Christopher M. U. Neale
Dr. Ivo Zution Gonçalves
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. Water 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 2600 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
- satellite and airborne remote sensing
- energy balance
- evapotranspiration
- crop health and yield monitoring
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