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MODIS-Based Investigation of Flood Areas in Southern Cambodia from 2002–2013

1
Cambodia National Mekong Committee (CNMC), 576 National Road, No. 2, Sangkat Chak Angre krom, Khan Meanchey, Phnom Penh 12353, Cambodia
2
Graduate School for International Development and Cooperation (IDEC), Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8529, Japan
3
Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki 305-8686, Japan
4
Department of Strategy Development for Urban and Rural zone, Hanoi Urban Planning Institute (HUPI)–Hanoi People’s Committee (HPC), Nguyen Chanh Street, Trung Hoa Ward, Hanoi 100000, Vietnam
5
College of Landscape and Interior Design, Vietnam National University of Forestry (VNUF), Xuan Mai, Chuong My, Hanoi 100000, Vietnam
6
National Agriculture and Food Research Organization (NARO), Western Region Agricultural Research Center, Ohda, Shimane 694-0013, Japan
7
Ministry of Environment (MoE), Preah Sihanouk Blvd, Tonle Bassak, Chamkamorn, Phnom Penh 120101, Cambodia
*
Author to whom correspondence should be addressed.
Environments 2019, 6(5), 57; https://doi.org/10.3390/environments6050057
Received: 25 April 2019 / Revised: 20 May 2019 / Accepted: 22 May 2019 / Published: 25 May 2019
(This article belongs to the Special Issue Application of Remote Sensing and GIS in Environmental Studies)
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Abstract

In Cambodia and the Vietnamese Mekong Delta, floods commonly occur during the rainy season, and a better understanding of their spatio-temporal distribution is important for both disaster prevention and the improvement of agricultural production. This study investigated spatio-temporal flood inundation and land cover change from 2002 to 2013 in the southern part of Cambodia using Terra satellite on-board Moderate Resolution Imaging Spectroradiometer (MODIS) images. The algorithm for flood inundation detection, WFFI (Wavelet-based Filter for detecting spatio-temporal changes in Flood Inundation) was used, and the parameters were modified to fit the present study. The estimated inundation areas were validated using eight Landsat images. In a comparison between the original and modified WFFIs, the modified WFFI (70–96%) exhibited better accuracy than the original WFFI (30–70%). Overall, the temporal change in the flood inundation area presented a decreasing trend, and a link to the in-situ observed water level showed a decreasing trend during the rainy season. Furthermore, the estimated flood inundation exhibited a significant delay since 2008. Based on the yearly land cover MODIS product, the permanent water body and wetland areas decreased, whereas the cropland areas increased. This was as a result of increased agricultural productivity. However, water shortage was the major obstacle to increasing agricultural productivity, and it also had a negative impact on aquatic ecology, such as fish spawning grounds. View Full-Text
Keywords: environmental monitoring; flooding; natural disaster; satellite remote sensing environmental monitoring; flooding; natural disaster; satellite remote sensing
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Vichet, N.; Kawamura, K.; Trong, D.P.; On, N.V.; Gong, Z.; Lim, J.; Khom, S.; Bunly, C. MODIS-Based Investigation of Flood Areas in Southern Cambodia from 2002–2013. Environments 2019, 6, 57.

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