Time-Series Remote Sensing Study to Detect Surface Water Seasonality and Local Water Management at Upper Reaches of Southwestern Bengal Delta from 1972 to 2020
Time-Series Remote Sensing Study to Detect Surface Water Seasonality and Local Water Management at Upper Reaches of Southwestern Bengal Delta from 1972 to 2020
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DOI：
10.3390/su13179798
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发表时间：
2021-08
期刊：
影响因子：
3.9
通讯作者：
N. Huda;T. Terao;A. Nonomura;Y. Suenaga
中科院分区：
文献类型：
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作者：
N. Huda;T. Terao;A. Nonomura;Y. Suenaga
由于其地理位置，孟加拉三角洲地表水具有巨大的季节性。本研究旨在探讨孟加拉国西南部（SWB）地表水的范围和季节性，几十年来，那里的人类干预迅速改变了土地利用。这项探索性研究依赖于 1972 年至 2020 年的总共 312 张高分辨率 Landsat 图像和访谈，以呈现 SWB 地表水的关键月份、季节和时期。该研究使用归一化差异水指数（NDWI）的有效阈值点“0”来提取水像素，并证实近红外波段对分离水像素具有更好的功效。平均而言，1972年至2001年间，SWB面临约5.5%的地表水，2002年至2020年期间增加至12.8%。根据中值，1990年代观察到约6%的地表水，2010年代增加至16%。 1972年至2001年期间，12月和1月平均地表水含量约为6%和7%，2002年至2020年期间扩大到18%和19%，这主要是由于混作等人为干预。该研究强烈建议考虑在 12 月和 1 月进行进一步的土地利用和土地类别研究，重点关注孟加拉国西南部。
Bengal delta experiences immense seasonality of surface water due to its geographical position. This study aims to explore the extent and seasonality of surface water in the southwestern part of Bangladesh (SWB) where human intervention has been rapidly changing the land use for several decades. This explorative study relied on a total of 312 high-resolution Landsat images from 1972 to 2020 and interviews to present crucial months, seasons, and periods for surface water in SWB. The study uses a valid threshold point ‘0′ for Normalized Difference Water Index (NDWI) to extract water pixels and confirms that the NIR band has better efficacy to separate water pixels. On average, the SWB has faced around 5.5% of surface water between 1972–2001, which increased to 12.8% between 2002 and 2020. Based on the median value, around 6% of surface water was observed in the 1990s, which increased to 16% in the 2010s. The average surface water was detected around 6% and 7% in December and January between 1972 and 2001, which expanded to 18% and 19% between 2002 and 2020, mainly because of human interventions such as mix-cropping. The study strongly suggests considering December and January months for further land use and land class studies which focus on the southwestern part of Bangladesh.