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Monitoring Land Use Dynamics in Chanthaburi Province of Thailand Using Digital Remotely Sensed Images

机译:使用数字遥感图像监测泰国尖竹汶府的土地利用动态

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摘要

A comprehensive method of image classification was developed for monitoring land use dynamics in Chanthaburi Province of Tailand. RS (Remote Sensing), GIS (Geographical Information System), GPS (Global Positioning System) and ancillary data were combined by the method which adopts the main idea of classifying images by steps from decision tree method and the hybridized supervised and unsupervised classification. An integration of automatic image interpretation, ancillary materials and expert knowledge was realized. Two subscenes of Landsat 5 Thematic Mapper (TM) images of bands 3, 4 and 5 obtained on December 15, 1992, and January 17, 1999, were used for image processing and spatial data analysis in the study. The overall accuracy of the results of classification reached 90%, which was verified by field check.Results showed that shrimp farm land, urban and traffic land, barren land, bush and agricultural developing area increased in area, mangrove, paddy field, swamp and marsh land, orchard and plantation, and tropical grass land decreased, and the forest land kept almost stable. Ecological analysis on the land use changes showed that more attentions should be paid on the effect of land development on ecological environment in the future land planning and management.
机译:开发了一种综合的图像分类方法来监测泰国尖竹汶府的土地利用动态。通过将决策树方法和混合的有监督与无监督分类方法相结合的主要思想,将RS(遥感),GIS(地理信息系统),GPS(全球定位系统)和辅助数据相结合。实现了自动图像解释,辅助材料和专家知识的集成。在研究中使用了1992年12月15日和1999年1月17日获得的波段3、4和5的两个Landsat 5主题映射器(TM)图像,用于图像处理和空间数据分析。分类结果的总体准确性达到90%,经现场检查验证。结果表明,虾类耕地,城市和交通用地,荒地,灌木丛和农业发展区的面积,红树林,稻田,沼泽和湿地增加了。沼泽地,果园和人工林以及热带草地减少,林地几乎保持稳定。对土地利用变化的生态分析表明,在未来的土地规划和管理中,应更加重视土地开发对生态环境的影响。

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