Hydrological Advances and Applications in Agricultural Lands

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Water Use and Irrigation".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1070

Special Issue Editors

Associate Professor, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
Interests: soil physics; hydrology; vadose zone flow and transport processes; soil and water management; soil–water–plant–atmosphere relationships; hydrological modeling
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Guest Editor
Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Interests: water use efficiency; crop physiology under stress; the relationship between lipid metabolism and cell membrane

Special Issue Information

Dear Colleagues,

Understanding hydrological processes and managing water resources is becoming increasingly crucial in agroecosystems, especially because of climate change and increasingly erratic weather on one hand and water and food security and environmental sustainability on the other hand. To date, scientific advances in irrigated, water-limited, or rainfed agricultural production systems continue to understand the critical roles and mechanisms of hydrological processes in agricultural lands across different climates and spatial scales. New ideas in hydrological understanding and applications for sustainable agricultural land and water management are increasingly emerging worldwide because of water and food security challenges, societal needs, and technological advances and opportunities.

This Special Issue intends to cover the state-of-the-art and recent scientific developments and to identify knowledge gaps and research challenges in different important and challenging aspects of hydrological understanding and applications to solve agricultural land and water management as well as environmental sustainability issues in agricultural production systems. All contributions or article types (original research, reviews, technical notes, and communication) providing recent discoveries and new insights into hydrological understanding for agricultural land and water conservation and management are encouraged. Theoretical, methodological, meta-analysis, modeling, and case study papers are welcome.

Dr. Sanjit Deb
Dr. Xiuli Zhong
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. Agronomy 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

  • agricultural water management
  • soil hydrology
  • vadose zone hydrology
  • soil physics
  • hydrology of irrigated agriculture
  • agricultural drainage
  • water use efficiency
  • soil–plant–water–atmosphere relationship
  • hydrological modeling, integrated crop-hydrologic modeling
  • ecohydrology
  • dryland agriculture
  • agricultural land use changes
  • agricultural hydrology
  • climate change

Published Papers (1 paper)

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Research

24 pages, 7258 KiB  
Article
Evaluation of Different Soil Salinity Indices Using Remote Sensing Techniques in Siwa Oasis, Egypt
by Omnia H. Salem and Zhonghua Jia
Agronomy 2024, 14(4), 723; https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy14040723 - 31 Mar 2024
Viewed by 740
Abstract
Detecting and monitoring changes in soil salinity through remote sensing provides an opportunity for field assessment in regions where on-site measurements are limited. This research, conducted in Siwa Oasis, Egypt, aimed to assess the effectiveness of remote sensing techniques in detecting and monitoring [...] Read more.
Detecting and monitoring changes in soil salinity through remote sensing provides an opportunity for field assessment in regions where on-site measurements are limited. This research, conducted in Siwa Oasis, Egypt, aimed to assess the effectiveness of remote sensing techniques in detecting and monitoring changes in soil salinity. Using Landsat 5 and Landsat 7 satellite images, the researchers evaluated various soil salinity indices based on 56 on-site ground measurements. The study aimed to improve the correlation between electrical conductivity (EC) and index values and explore the relationship between salinity and changes in land cover. Eleven spectral indices were calculated for nine scenes captured in different months. Different approaches were employed, including stacking the data, categorizing EC measurements into salinity levels, analyzing data temporally, and conducting spatial correlation analysis. The initial approach revealed a weak correlation, due to substantial variation in EC values. However, the salinity index SI demonstrated the highest correlation coefficient of 0.38. In the second scenario, the salinity index 2 S2 index exhibited the highest correlation of 0.96 for moderate salinity samples. The third scenario showed that the salinity index 1S1 achieved the highest correlation value of 0.99 for moderately saline areas. In the fourth scenario, the SI index exhibited the strongest correlation among all four ponds, with correlation coefficients of 0.23, 0.23, 0.18, and 0.61. Notably, the correlations observed in the second and third scenarios demonstrated higher correlation coefficients than those of both the first and fourth scenarios. Additionally, remote sensing methods detected a 48% increase in total vegetated area over 17 years, showing the potential of remote sensing techniques in salinity monitoring for expanding agriculture and improving land management. Full article
(This article belongs to the Special Issue Hydrological Advances and Applications in Agricultural Lands)
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