Performance Evaluation of MBT, OBIA and PBRF Method for High-Altitude Water Body Mapping: A Case Study of Mago River Basin of Arunachal Pradesh

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作者
Sameer Mandal
Arnab Bandyopadhyay
Aditi Bhadra
机构
[1] North Eastern Regional Institute of Science and Technology,Department of Agricultural Engineering
关键词
High-altitude water bodies; PBRF; OBIA; MBT; Machine learning; Eastern Himalaya;
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摘要
Accurate mapping of high-altitude water bodies in a hilly region is a challenging task due to the hill shadows that have a similar signature as water bodies and the presence of ample amounts of small water bodies. This study compared three techniques (MBT, PBRF, and OBIA) to map water bodies in the Mago river basin, Arunachal Pradesh, a part of the Eastern Himalaya. Spectral indices (MNDWI, NDWI, NDTI, and slope) were used as input variables. The study also assessed the performance of the 'VV' band of Sentinel-1 SAR data in MBT and PBRF (MBTv and PBRFv) compared to methods without using the 'VV' band (MBTn and PBRFn). An accuracy assessment was carried out using ground truth data collected through a partial field survey, high-resolution Google Earth imagery, and visual interpretation of raw data due to inaccessibility of the area. It was found that there are 224 high-altitude water bodies present in the basin with an area of 4.77 sq. km based on the ground truth datasets. All three methods were applied to map the high-altitude water bodies and an accuracy assessment was performed. The PBRFv shows the highest overall accuracy (85.3%) with a kappa of 0.83. In comparison, both the OBIA and MBTv method produces the similar result as 71.4% and 71.7% with a kappa of 0.71 and 0.70, respectively. On the other hand, the overall accuracy of the MBTn and PBRFn method was found to be 67.1% and 83.3% with kappa as 0.63 and 0.83, respectively. The total area of the water bodies using the BPRFn method (4.60 sq. km) and BBRFv (4.62 sq. km) was found more closer to ground truth data (4.77 sq. km) compared to all other methods. MBTn has the highest number of misclassified water bodies, while PBRFv showed no misclassifications. However, PBRFv missed to map a few smaller water bodies (33 in total) due to their size. The slope factor effectively reduced noise caused by hill shadows, as water bodies were mainly found on gentle to flat land. Therefore, the PBRFv approach was considered the most suitable method for accurately mapping high-altitude water bodies compared to the other technique.
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页码:2187 / 2200
页数:13
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