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Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China

机译:利用专题测绘仪数据进行耕地变化检测和可持续利用:以中国黄河三角洲为例

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摘要

Preservation of cultivated land is one of China's four basic strategic policies. Timely land use monitoring is a prerequisite of cultivated land management and sustainable utilization. Using digital satellite remote sensing techniques, the intention is to develop a workable procedure for cultivated land change detection in the Yellow River delta region. Four detection methods were assessed. The assessment, in general, suggests that it is difficult to find a single efficient method for cultivated land change detection in the study area, where spectral confusion is widespread due to soil salinization and juxtaposed land use patterns. The knowledge-based visual change detection and classification-result overlay methods are more appropriate than the multi-temporal composite and classification, and image ratioing. The latter two methods are useful and efficient when remote sensing data acquired in the suitable season are available, and distinct spectral characteristics of different land use types exist. The results show that the area of cultivated land in this region decreased by 5321.8 ha over the period 1987 to 1998, i.e. 483.8 ha every year, mainly concentrated in the central paddy field region and northeast dry land region.
机译:保护耕地是中国的四项基本战略政策之一。及时的土地利用监测是耕地管理和可持续利用的前提。使用数字卫星遥感技术的目的是为黄河三角洲地区的耕地变化检测开发可行的程序。评估了四种检测方法。总体而言,该评估表明,在研究区很难找到一种有效的方法来检测耕地变化,该研究区由于土壤盐渍化和土地利用方式并列而导致光谱混乱。基于知识的视觉变化检测和分类结果覆盖方法比多时相合成和分类以及图像配比更合适。当可获得在适当季节获取的遥感数据并且存在不同土地利用类型的不同光谱特征时,后两种方法既有用又有效。结果表明,该地区耕地面积在1987年至1998年期间减少了5321.8公顷,即每年483.8公顷,主要集中在中稻田地区和东北旱地地区。

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