Remote Sensing for Agricultural Water Management (RSAWM) (Second Edition)

Dear Colleagues,

Global warming is changing precipitation patterns, exacerbating extreme events such as droughts, floodings, heat waves and windstorms. This intensification, along with the impact of human activities, threatens water availability and quality, as well as soil fertility, putting a strain on the resilience of the agriculture sector. Monitoring and managing water resources is becoming more and more necessary to avoid wasting this precious resource. In this context, the availability of detailed information on the water cycle is crucial to plan a sustainable water allocation between different competing users and guide farmers and authorities in the adoption of more effective water saving practices.

Such information can be acquired using new technologies and remote sensing instruments, and exploiting advances in computing performance, data processing and modeling are also the key elements.

This Special Issue solicits papers dealing with innovative strategies, approaches, techniques and tools able to build a comprehensive water management framework to encompass and link all the phases, from the drivers to the impacts and responses.

A multi-data-driven approach based on high-resolution multi-platform and multi-mission EO data that integrate climate, soil, hydrogeological, vegetation and water use (e.g., irrigation practices) metrics is highly recommended, together with the use of innovative machine learning methodologies.

Dr. Ramona Magno
Dr. Paolo Filippucci
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.

• high resolution
• EO data
• machine learning
• multi-data-driven approach
• water balance
• water consumption
• soil
• climate
• vegetation
• irrigation

• Remote Sensing for Agricultural Water Management (RSAWM) in Remote Sensing (10 articles)