ВЫДЕЛЕНИЕ ВОДНЫХ ОБЪЕКТОВ НА УХАНЬСКОМ УЧАСТКЕ РЕКИ ЯНЦЗЫ ПО ДАННЫМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ СО СПУТНИКА “GAOFEN-1”

In this study, the water body information on the Wuhan section of the Yangtze River was extracted by four different methods based on Gaofen-1 satellite images. The four methods are the shaded water body index (SWI) method, the normalized water body index (NDWI) method, the normalized vegetation index (NDVI) method, and the modified shaded water body index (MSWI) method. The numbers of pixels of the water body obtained by the four methods were compared with the data from the Hankou station of the Water Resources Bureau. The overall accuracy and κ coefficients of the four extraction methods were also calculated using the confusion matrix. The results show that the MSWI method has the best extraction effect. It was found through the comparison of the water area in 2021 and in 2022 that the drought conditions of the Wuhan section of the Yangtze River were quite severe in the second half of 2022.

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Publication Details

Journal
Meteorologiya i Gidrologiya
Published
2025-03-01
DOI
https://doi.org/10.52002/0130-2906-2025-3-100-110
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

ВЫДЕЛЕНИЕ ВОДНЫХ ОБЪЕКТОВ НА УХАНЬСКОМ УЧАСТКЕ РЕКИ ЯНЦЗЫ ПО ДАННЫМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ СО СПУТНИКА “GAOFEN-1”

Zhimin He, Xuming Dan, Wei Zhu, J. ZHANG
Meteorologiya i Gidrologiya
Remote Sensing in Agriculture
article

ВЫДЕЛЕНИЕ ВОДНЫХ ОБЪЕКТОВ НА УХАНЬСКОМ УЧАСТКЕ РЕКИ ЯНЦЗЫ ПО ДАННЫМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ СО СПУТНИКА “GAOFEN-1”

Zhimin He, Xuming Dan, Wei Zhu, J. ZHANG
article en

Abstract

In this study, the water body information on the Wuhan section of the Yangtze River was extracted by four different methods based on Gaofen-1 satellite images. The four methods are the shaded water body index (SWI) method, the normalized water body index (NDWI) method, the normalized vegetation index (NDVI) method, and the modified shaded water body index (MSWI) method. The numbers of pixels of the water body obtained by the four methods were compared with the data from the Hankou station of the Water Resources Bureau. The overall accuracy and κ coefficients of the four extraction methods were also calculated using the confusion matrix. The results show that the MSWI method has the best extraction effect. It was found through the comparison of the water area in 2021 and in 2022 that the drought conditions of the Wuhan section of the Yangtze River were quite severe in the second half of 2022.

Meteorologiya i Gidrologiya(3)
Openalex Percentile: Top 73%
Remote Sensing in Agriculture
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ВЫДЕЛЕНИЕ ВОДНЫХ ОБЪЕКТОВ НА УХАНЬСКОМ УЧАСТКЕ РЕКИ ЯНЦЗЫ ПО ДАННЫМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ СО СПУТНИКА “GAOFEN-1” — Zhimin He, Xuming Dan, et al. · Meteorologiya i Gidrologiya (2025) | TGRS Research Map | TGRS