![Environmental change analysis using satellite imageries : case study of Thai Binh province, Vietnam [Preprint]](/search/themes/bootstrap3/images/libros.png)
Environmental change analysis using satellite imageries : case study of Thai Binh province, Vietnam [Preprint]
The Red River Delta is the hub of all economic activity in Northern Vietnam. The delta alone contributes 18% of total paddy production in the country. This densely populated delta is rapidly changing its agriculture activities to urban. Changing environment is degrading natural resources and greeneries, making water pollution and pushing human health into hazard are major concerns in the delta. In this study, Thai Binh as a representative province in the delta is selected for environmental changes analysis. The main objective of the study is to monitor the environmental changes and help to develop a RS&GIS based diagnostic methodology for pig production at the province. Four LANDSAT satellite images taken in different time period of past two and half decades were used for environmental changes monitoring. ERDAS Imagine and Microsoft Excel software were used for processing the images, analyzing and presenting the results. Four types of spectral signature normalization techniques namely SAVI, BSI, NDWI and UI were applied in each image. The normalized images were further quantified at commune level by computing mean and standard deviation. The mean and standard deviation were evaluated carefully for environmental changes analysis. Natural vegetation and conventional agriculture areas were in decreasing trends but water related activities such as aquatic fanning were observed as increasing. Strong negative correlation was found between vegetation and urban index, which interprets less vegetation mainly due to occupancy of land by growing urban activities. These results will be very useful in developing diagnostic methodology further. The methodology used in this paper is easy to use and good enough for environmental and urban change analysis at provincial level, which may help the environmental planners and decision-makers for preparing sustainable environmental planning in the province.
| Summary: | The Red River Delta is the hub of all economic activity in Northern Vietnam. The delta alone contributes 18% of total paddy production in the country. This densely populated delta is rapidly changing its agriculture activities to urban. Changing environment is degrading natural resources and greeneries, making water pollution and pushing human health into hazard are major concerns in the delta. In this study, Thai Binh as a representative province in the delta is selected for environmental changes analysis. The main objective of the study is to monitor the environmental changes and help to develop a RS&GIS based diagnostic methodology for pig production at the province. Four LANDSAT satellite images taken in different time period of past two and half decades were used for environmental changes monitoring. ERDAS Imagine and Microsoft Excel software were used for processing the images, analyzing and presenting the results. Four types of spectral signature normalization techniques namely SAVI, BSI, NDWI and UI were applied in each image. The normalized images were further quantified at commune level by computing mean and standard deviation. The mean and standard deviation were evaluated carefully for environmental changes analysis. Natural vegetation and conventional agriculture areas were in decreasing trends but water related activities such as aquatic fanning were observed as increasing. Strong negative correlation was found between vegetation and urban index, which interprets less vegetation mainly due to occupancy of land by growing urban activities. These results will be very useful in developing diagnostic methodology further. The methodology used in this paper is easy to use and good enough for environmental and urban change analysis at provincial level, which may help the environmental planners and decision-makers for preparing sustainable environmental planning in the province. |
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