https://www.mdpi.com/journal/remotesensing/special_issues/RSagriwater

欢迎本领域的专家学者投稿。

截止日期：2020.6.30.

征稿领域：

- 土壤水盐遥感反演；

- 作物遥感蒸散发模型；

- 基于遥感的灌区农业水文模型；

- 基于遥感的灌溉用水效率与作物水分生产率评价；

- 基于遥感的灌溉水优化分配与作物种植结构优化；

- 灌溉对生态环境影响的遥感评价；

- 基于遥感的其他农业水文水资源研究。

Special Issue "Remote Sensing in Agricultural Hydrology and Water Resources Modeling"

• Special Issue Editors

• Special Issue Information

• Keywords

• Published Papers

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 June 2020

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Special Issue Editors

Special Issue Information

Dear Colleagues,

Agricultural water use covers about 70% of total water use in the world, most of which is used for irrigation. However, many parts of the world, especially arid and semiarid regions, suffer from shortage of irrigation water, which has negative impact on crop growth and food security in regional, national, and global scales. Studies on agricultural hydrology and water management provide the basis for the highly efficient use of precipitation and irrigation water.

In recent years, remote sensing (RS)-based models have provided efficient tools for agricultural hydrology and water resources modeling in irrigation districts, including soil moisture and salinity retrieval, evapotranspiration estimation, agro-hydrological modeling, irrigation efficiency and crop water productivity assessments, optimal allocation of irrigation water, and impact of irrigation practices on ecosystems and environment. However, agricultural hydrology and water resources modeling in irrigation district scale is still challenging, due to the complex interactions among hydrological processes, agricultural water management, and crop planting pattern and growth.

This Special Issue is inviting manuscripts on the following topics:

- RS-based retrieval methods for soil moisture and salinity;

- RS-based crop evapotranspiration modeling;

- RS-based agro-hydrological modeling in irrigation district scale;

- RS-based assessments of irrigation efficiency and crop water productivity;

- RS-based optimization of irrigation water and crop planting pattern;

- RS-based impact assessment of irrigation practices on ecosystems and environment;

- Other topics related to RS-based agricultural hydrology and water resources modeling.

Dr. Songhao Shang
Dr. Jingfeng Wang
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 papers will be 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 1800 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

• remote sensing

• soil moisture

• soil salinity

• evapotranspiration

• agro-hydrological model

• irrigation efficiency

• crop water productivity

• irrigation water management

• impact of irrigation practices on ecosystems and environment