Remote Sensing for Irrigation and Water Management in Agriculture
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: closed (31 July 2023) | Viewed by 3538
Special Issue Editor
Interests: agrohydrological modeling with focus on plant-water relations; agricultural water management; assimilation of remote sensing product into ecosystem models for agricultural digitalization; remote sensing as a tool for increasing crop and water producitivty in agriculure
Special Issue Information
Dear Colleagues,
Accurate information on water consumption by irrigating farms has long been a critical need in water resource management. With increasing heat and drought stresses in changing climate, adapting agriculture to these extreme events requires the accurate quantification of irrigation water consumption. The global population increases at the same time, and as a result, water resources come under more and more competition among multiple users and sectors, e.g., farm and city expansion. This urgently calls for the swift monitoring of key environmental parameters and the accurate prediction of their dynamics under multiple individual or compound stresses. However, such levels of understanding of system dynamics have been associated with many challenges, mostly related to the heterogeneity of the system which is complex and difficult to capture with only process-based models or data collection via field campaigns. Therefore, methods for water resource management should be adjusted and aligned with innovative theories, approaches, and technology for sustainable development. In recent decades, remote sensing technology has significantly contributed to opening new perspectives for agro-hydrological monitoring, water resources protection and planning, and irrigation water utilization owing to its fast detection capacity. It has provided information on wide spatial coverage using multiple spectral characteristics and indicators such as NDVI and NDWI.
Due to the importance of this topic, this Special Issue focuses specifically on innovative methods based on satellite and UAV drone products for hydrological and water resource planning and management. The issue is not limited to only remote sensing but also those related to methods related to the assimilation of remote sensing into inversion simulation models and pathways for sustainable crop and water production.
- Irrigation and water resource management;
- Monitoring agricultural water use using remote sensing data;
- Remote sensing for groundwater irrigation water management;
- Irrigation and crop water management;
- Irrigation and sustainable production;
- The contribution of remote sensing to precision agriculture;
- Remote sensing and agricultural digitalization;
- Data assimilation for agroecosystem modeling of irrigated systems;
- Water management using UAV drones and satellites in agriculture.
Dr. Bahareh Kamali
Guest Editor
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.
Dr. Bahareh Kamali
Guest Editor
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
- water resource management
- agricultural water use
- groundwater irrigation water management
- irrigation and crop water management
- irrigation and sustainable production
- remote sensing for precision agriculture
- agricultural digitalization
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