Agricultural Water Management Using Geospatial Technologies

Dear Colleagues,

The use of remote sensing and spatial-related technologies and their application in agricultural drainage water management (DWM) is growing rapidly. Along with other techniques, such as geographic information systems (GIS), spatial data analytics, advanced machine learning-based tools, remote sensing provides a better alternative to the conventional techniques in the monitoring and assessment of water resources and agricultural DWM. It allows us to develop cost-effective tools for the delineation and evaluation of the factors affecting DWM, including geomorphology, hydrology, climate conditions, and the socio-economic and institutional environment. The aim of the present Special Issue is to cover the relevant topics, trends, and best practices in agricultural DWM monitoring and modeling so that the timing and the amount of water discharged from agricultural drainage systems can be better managed.

We would like to invite you to contribute by submitting articles about your recent research, experimental work, reviews, and/or case studies related to agricultural drainage management. Contributions may include, but are not limited to, the applications of remote sensing and GIS in the following topics:

• Rainfall–runoff modeling;
• Development and application of a water balance model;
• Multi-model approach for stream flow simulation;
• Multi-criteria analysis for construction of agricultural drinage network;
• Machine learning and geo-computation in agricultural drinage management;  
• The effects of climate change on water resources planning and management and sustainable agricultural drainage systems;
• Water demand–supply–constraint analysis in irrigated agriculture;
• Irrigation performance indicators
• Scenario analysis of drainage management practices;
• Groundwater recharge estimation;
• Remote sensing for water storage and environmental water usage;
• Soil erosion, non-point source pollution, and water quality modeling at agricultural watersheds;
• High-resolution remote sensing applications in agricultural drainage management;
• UAV and laser scanning techniques and their applications in agricultural drainage management;
• Drainage water disposal;
• Mobile mapping for agricultural drainage networks.

Dr. Xihua Yang
Prof. Dr. Alfredo R. Huete
Prof. Dr. Yong Xue
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 250 words) can be sent to the Editorial Office for assessment.

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.