Article citationsMore>>
Markert, K. N., Markert, A. M., Mayer, T., Nauman, C., Haag, A., Poortinga, A., Bhandari, B., Thwal, N. S., Kunlamai, T., Chishtie, F., Kwant, M., Phongsapan, K., Clinton, N., Towashiraporn, P., & Saah, D. (2020). Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine. Remote Sensing, 12, 2469.
https://doi.org/10.3390/rs12152469
has been cited by the following article:
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TITLE:
Remote Sensing-Based Accounting of Reservoir’s Water Storage for Water Scarcity Mitigation: A Case Study for Small and Medium Irrigation Dams in Vietnam
AUTHORS:
Hung X. Dinh, Thanh T. Hoang, Lan T. Ha, Tuan V. Nguyen, Thanh C. Pham, Minh C. Nguyen, Hiep T. Luong
KEYWORDS:
Remote Sensing, Water Scarcity Management, Reservoir Volume
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.9 No.11,
November
23,
2021
ABSTRACT: Integrated water resources management requires consistent and accurate
data on available water storage in reservoirs as well as water stress level.
Vietnam is enduring a significant deficit in collecting necessary information
to manage its water resources in that manner. While reservoirs are abundant, the
majority of them were constructed a long ago and often lack of regular and
adequate measurement on storage volume. Furthermore, the condition of water
stress is often missing or remains bias leading to certain risks in reservoir
operation, e.g. during water scarcity period. This paper presents how remote
sensing data can be used to acquire needed information that is fundamental to
understand water resources conditions. The results indicated that Sentinel-1
and Moderate Resolution Imaging Spectroradiometer (MODIS) can be applied to
determine water surface area and water stress, through vegetation health index
(VHI). This information is deemed necessary to improve water resources
monitoring and management and hence, ensure long-term drought resilience and water
and food security.
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