Use of landsat TM satellite surveillance data to measure the impact of the 1998 flood on snail intermediate host dispersal in the lower Yangtze River Basin. Zhou, X., Dandan, L., Huiming, Y., Honggen, C., Leping, S., Guojing, Y., Qingbiao, H., Brown, L., & Malone, J. B Acta Tropica, 82(2):199–205, May, 2002. ![Use of landsat TM satellite surveillance data to measure the impact of the 1998 flood on snail intermediate host dispersal in the lower Yangtze River Basin [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex To assess the impact of the 1998 flood on snail distribution in the lower Yangtze River Basin, two study areas were selected, one in the Poyang Lake region, and the other along the Yangtze River in Jiangsu province. Using image analysis software, geocoded Landsat TM data were used to create TNDVI maps based on the formula TNDVI=Sqrt[(band4−band3/band4+band3)+0.5]. The images taken in the flood season were classified to produce a map depicting water and land. The images taken during springtime were processed and classified based on TNDVI. Composite images were created based on the time difference analysis, combining the flood season maps and spring vegetation maps to produce a map in which potential snail habitats were identified. When compared with ground survey data collected in the spring of 2000, the correspondence rate between potential snail habitats identified by image analysis of 1998–1999 Landsat TM data and ground survey data was over 90% in both regions. Results indicate that ecology based Landsat TM image analysis provides a new way to predict snail distribution under specific environmental conditions associated with the extent of the annual flood season.
@article{zhou_use_2002,
title = {Use of landsat {TM} satellite surveillance data to measure the impact of the 1998 flood on snail intermediate host dispersal in the lower {Yangtze} {River} {Basin}},
volume = {82},
issn = {0001-706X},
url = {http://www.sciencedirect.com/science/article/pii/S0001706X02000116},
doi = {10.1016/S0001-706X(02)00011-6},
abstract = {To assess the impact of the 1998 flood on snail distribution in the lower Yangtze River Basin, two study areas were selected, one in the Poyang Lake region, and the other along the Yangtze River in Jiangsu province. Using image analysis software, geocoded Landsat TM data were used to create TNDVI maps based on the formula TNDVI=Sqrt[(band4−band3/band4+band3)+0.5]. The images taken in the flood season were classified to produce a map depicting water and land. The images taken during springtime were processed and classified based on TNDVI. Composite images were created based on the time difference analysis, combining the flood season maps and spring vegetation maps to produce a map in which potential snail habitats were identified. When compared with ground survey data collected in the spring of 2000, the correspondence rate between potential snail habitats identified by image analysis of 1998–1999 Landsat TM data and ground survey data was over 90\% in both regions. Results indicate that ecology based Landsat TM image analysis provides a new way to predict snail distribution under specific environmental conditions associated with the extent of the annual flood season.},
number = {2},
urldate = {2015-11-03TZ},
journal = {Acta Tropica},
author = {Zhou, Xiaonong and Dandan, Lin and Huiming, Yang and Honggen, Chen and Leping, Sun and Guojing, Yang and Qingbiao, Hong and Brown, Leslie and Malone, J. B},
month = may,
year = {2002},
keywords = {Oncomelania hupensis, Remote sensing, Schistosoma japonicum, Snail habitats, flood},
pages = {199--205}
}
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B"],"year":2002,"bibtype":"article","biburl":"https://bibbase.org/zotero/shahinoor","bibdata":{"bibtype":"article","type":"article","title":"Use of landsat TM satellite surveillance data to measure the impact of the 1998 flood on snail intermediate host dispersal in the lower Yangtze River Basin","volume":"82","issn":"0001-706X","url":"http://www.sciencedirect.com/science/article/pii/S0001706X02000116","doi":"10.1016/S0001-706X(02)00011-6","abstract":"To assess the impact of the 1998 flood on snail distribution in the lower Yangtze River Basin, two study areas were selected, one in the Poyang Lake region, and the other along the Yangtze River in Jiangsu province. Using image analysis software, geocoded Landsat TM data were used to create TNDVI maps based on the formula TNDVI=Sqrt[(band4−band3/band4+band3)+0.5]. The images taken in the flood season were classified to produce a map depicting water and land. The images taken during springtime were processed and classified based on TNDVI. Composite images were created based on the time difference analysis, combining the flood season maps and spring vegetation maps to produce a map in which potential snail habitats were identified. When compared with ground survey data collected in the spring of 2000, the correspondence rate between potential snail habitats identified by image analysis of 1998–1999 Landsat TM data and ground survey data was over 90% in both regions. 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Using image analysis software, geocoded Landsat TM data were used to create TNDVI maps based on the formula TNDVI=Sqrt[(band4−band3/band4+band3)+0.5]. The images taken in the flood season were classified to produce a map depicting water and land. The images taken during springtime were processed and classified based on TNDVI. Composite images were created based on the time difference analysis, combining the flood season maps and spring vegetation maps to produce a map in which potential snail habitats were identified. When compared with ground survey data collected in the spring of 2000, the correspondence rate between potential snail habitats identified by image analysis of 1998–1999 Landsat TM data and ground survey data was over 90\\% in both regions. 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