A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments

Abstract

This study aimed to provide a systematic overview of the progress made in utilizing remote sensing for assessing the impacts of land use and land cover (LULC) changes on water resources (quality and quantity). This review also addresses research gaps, challenges, and opportunities associated with the use of remotely sensed data in assessment and monitoring. The progress of remote sensing applications in the assessment and monitoring of LULC, along with their impacts on water quality and quantity, has advanced significantly. The availability of high-resolution satellite imagery, the integration of multiple sensors, and advanced classification techniques have improved the accuracy of land cover mapping and change detection. Furthermore, the study highlights the vast potential for providing detailed information on the monitoring and assessment of the relationship between LULC and water resources through advancements in data science analytics, drones, web-based platforms, and balloons. It emphasizes the importance of promoting research efforts, and the integration of remote sensing data with spatial patterns, ecosystem services, and hydrological models enables a more comprehensive evaluation of water quantity and quality changes. Continued advancements in remote sensing technology and methodologies will further improve our ability to assess and monitor the impacts of LULC changes on water quality and quantity, ultimately leading to more informed decision making and effective water resource management. Such research endeavors are crucial for achieving the effective and sustainable management of water quality and quantity.

Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

“…In adherence to the PRISMA guidelines, a total of 60 research articles were identified and chosen, a process outlined in the form of the flowchart depicted in Figure 1. In the process of selection, we applied exclusion criteria similar to those utilized in recent review studies [5,[34][35][36].…”

“…In adherence to the PRISMA guidelines, a total of 60 research articles were identified and chosen, a process outlined in the form of the flowchart depicted in Figure 1. In the process of selection, we applied exclusion criteria similar to those utilized in recent review studies [5,[34][35][36]. The notable increase in published research concerning the utilization of geospatial technology in agricultural water management in India signifies the achievement of a distinct level of expertise in this domain.…”

Fostering environmental and resources management in Sudan through geo-information systems: A prospective approach for sustainability

“…Integration of GIS and RS will assist in overcoming these issues and bridging data availability and accessibility gaps, as it enables analyzing and getting the maximum out of available remotely sensed data, to support science-based decisions that are based on solid and inclusive data (Kumar et al, 2015) along with the ability to quickly and efficiently update databases of environment and resources through constant monitoring and observations, particularly for long-term monitoring. (Mashala et al, 2023). All in a limitless scale of spatial coverage.…”

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy

“…Remote sensing data can capture changes in SOC concentrations over time. Repeated data acquisition allows for monitoring changes in SOC due to factors such as land use, climate, and management practices [46,47].…”