Integrating Remotely Sensed Platforms in Soil and Water Conservation Interface—Practices and Methods

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Farming Sustainability".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 2837

Special Issue Editor

Soil Erosion Research Station, Soil Conservation and Drainage Division, Ministry of Agriculture & Rural Development, Rishon Lezion, Israel
Interests: soil erosion; remote sensing; watershed management; erosion control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Agricultural lands face severe degradation processes, due to the growing demand for crop production, that diminishing soil ecosystem, and quality. Most of these processes are undetectable over short periods leading toward unforeseen agronomic challenges. Concurrently, there is a vast development in new cutting-edge remote sensing (RS) and image processing technologies that provides novel pathways towards cost-effective monitoring of continuous soil physical and biogeochemical characteristics.

Despite the importance of implementing soil conservation measures, the efficiency of these measures is unknown due to the lack of innovative monitoring methods. Multi-scale RS techniques provide a comprehensive capacity for monitoring soil-water-plant interactions utilizing unmanned aerial vehicles (UAV), airborne, and spaceborne RS techniques.

We are looking for innovative research studies that integrate novel RS approaches and platforms, encompassing spectral and morphological traits, to record soil conservation efficiency in agricultural lands. This issue will collect insights and identify challenges and opportunities to develop new practices and methods to assess the efficiency of soil conservation measures.

Dr. Eli Argaman
Guest Editor

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Keywords

  • soil and water conservation
  • remote sensing
  • land degradation
  • image processing
  • data-mining

Published Papers (1 paper)

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Research

11 pages, 1479 KiB  
Article
Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data
by Anatoly Mikhailovich Zeyliger and Olga Sergeevna Ermolaeva
Agronomy 2021, 11(6), 1117; https://doi.org/10.3390/agronomy11061117 - 30 May 2021
Cited by 7 | Viewed by 2368
Abstract
In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely [...] Read more.
In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and ground-based data were used to develop a method of crop water stress assessment and analysis. Input datasets of this method were based on the results of ground-based and satellite monitoring in 2012. Required datasets were collected for 19 irrigated alfalfa crops in the second year of growth at three study sites located in Saratovskoe Zavolzhie (Saratov Oblast, Russia). Collected datasets were applied to calculate the dynamics of daily crop water stress coefficients for all studied crops, thereby characterizing the efficiency of crop irrigation. Accordingly, data on the crop yield of three harvests were used. An analysis of the results revealed a linear relationship between the crop yield of three cuts and the average value of the water stress coefficient. Further application of this method may be directed toward analyzing the effectiveness of irrigation practices and the operational management of agricultural crop irrigation. Full article
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