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A Review on remote sensing application in river ecosystem evaluation

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Abstract

A river is a huge natural freshwater stream that plays a significant role in hydrological dynamics, water resource management, and global activities. Understanding the dynamics of the river ecosystem, such as water quality, morphological traits, and so on, is crucial to determining its health. This article provides a broad review on Geographic Information System (GIS) and Remote Sensing (RS) applications for achieving geographical advantages, particularly in the river ecology. In recent years, the accessibility, accuracy, and popularity of RS technology have all increased dramatically. Land use and cover mapping, land cover changes, deforestation vegetation dynamics, and water quality dynamics at many scales utilising efficient methods are all covered using remote sensing data. RS may now be utilised for a variety of engineering-related applications at the same time. The importance of Landsat data and multispectral sensors in mapping and monitoring many environmental parameters of river ecosystems is highlighted. According to a recent research study, these technologies will aid in the establishment of safety measures prior to disasters. Additionally, river cleaning can be done in conjunction with the creation of an appropriate drainage system to protect the river from becoming contaminated. Future research is expected to build on developing technology, enhance present methodologies, and include innovative analytical approaches.

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Acknowledgements

We would like to thank the anonymous reviewers of this manuscript for their feedback, which helped us to improve the paper in multiple ways.

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  1. Department of Environmental Sciences & Limnology, Barkatullah University, Bhopal, M.P, India

    Ankita Singh

  2. Department of Environmental Sciences & Limnology, Barkatullah University, Bhopal, M.P, India

    Vipin Vyas

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Singh, A., Vyas, V. A Review on remote sensing application in river ecosystem evaluation. Spat. Inf. Res. 30, 759–772 (2022). https://doi.org/10.1007/s41324-022-00470-5

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