Application of UAVs and Remote Sensing in Agricultural Water Resources Management
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 342
Special Issue Editors
Interests: quantitative remote sensing; data fusion; data assimilation; spatial upscaling; GNSS-IR; precision agriculture; dynamic monitoring
Interests: crop water deficit; soil salinization; water-salt stress; thermal infrared; UAVs; Sentinel-1/2; coupled model; data fusion; data assimilation; intelligent irrigation district
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the research and application of unmanned aerial vehicles (UAVs) and satellite remote sensing in agricultural water resource management. Multi-temporal remote sensing technology has emerged as one of the primary technical means for monitoring agricultural ecological environments, crop growth conditions and crop pest situations, and it is also an inevitable technical means for achieving precision agriculture and intelligent agriculture. This Special Issue focuses on the applications of multi-platform and multi-sensor remote sensing, machine learning and deep learning algorithms, as well as data fusion and assimilation methods in soil moisture and salinity monitoring, crop growth and crop drought monitoring. These efforts aim to provide the scientific basis for field water management in irrigation districts and the efficient utilization of water resources. This Special Issue includes, but is not limited to, the following key areas of application:
- Multi-platform remote sensing: Satellites, UAVs and ground-based sensors are employed for monitoring soil moisture, soil salinity and crop water deficits.
- Optical remote sensing: Various sensors such as multispectral, hyperspectral and thermal infrared sensors are used to monitor soil moisture and salinity information and crop physiological parameters.
- Microwave remote sensing: Microwave remote sensing technologies, including radar, synthetic aperture radar (SAR) and global navigation satellite system-interferometry (GNSS-IR), are utilized for monitoring soil moisture and crop water deficits.
- Advanced remote sensing techniques: Research on machine learning, deep learning, data fusion, data assimilation and scale transformation methods will be conducted to improve the accuracy and applicability of agricultural water information monitoring, facilitating guidance for agricultural drought monitoring and precision irrigation.
- Monitoring of irrigation district drought conditions and crop growth conditions: Integration of multi-platform and multi-sensor remote sensing systems will be implemented to monitor large-scale irrigation district droughts or changes in crop growth.
Dr. Yifei Yao
Prof. Dr. Zhitao Zhang
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. Agriculture is an international peer-reviewed open access monthly 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
- soil moisture content
- crop water deficit
- soil salinization
- water–salt stress
- farmland drought monitoring
- crop growth monitoring
- satellite remote sensing
- UAV remote sensing
- 3S technology
- optical remote sensing
- microwave remote sensing
- GNSS-IR
- precision agriculture
- digital agriculture
- data fusion
- data assimilation
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
