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首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >MODELLING SPATIO-TEMPORAL PATTERN OF LANDUSE CHANGE USING MULTITEMPORAL REMOTELY SENSED IMAGERY
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MODELLING SPATIO-TEMPORAL PATTERN OF LANDUSE CHANGE USING MULTITEMPORAL REMOTELY SENSED IMAGERY

机译：基于多时相遥感影像的土地利用变化时空格局建模

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摘要

Remotely sensed data is the most important data source for environmental change study over the past 40 years. Since large collections of remote sensing imagery have been acquired in a time frame of successive years, it is now possible to study long-term spatio-temporal pattern of environmental change and impacts of human activities. This study seeks an efficient and practical methodology for landuse monitoring and spatio-temporal pattern analysis by integrating multitemporal remotely sensed data in a monitoring time frame of 13 years at the middle reach of Tarim River in the aridzone of China. Multi-source and multi-scale remotely sensed images are used, including multispectral images acquired by Landsat 5 and 7, China-Brazil Earth Resources Satellite (CBERS) and Beijing-1 (BJ-1). The temporal trajectories of landuse change have been established for analysing its spatial pattern for a better understanding of the human impact on the fragile ecosystem of China's arid environment. This study analyzed spatial pattern of landuse change trajectories based on the post-classification comparison method. All images were classified into 5 to 6 classes, which were then combined into two main classes, namely, farmland and the others. Area statistics and temporal trajectories of changed farmland were then derived using the classification results. The result shows that in the study period of 13 years, the farmland has increased over two times with an annual growth rate of over 10%. It is also shown that farmland abandon was significant in some areas due to some environmental issues such as shortage of water resource and salinity. Using the method, one can re-establish the history of landuse change and related such change with other environmental and socio-economic data, so as to gain better understanding on the response of natural environment to the human impact that may be introduced as the consequence of economic development and government polices.
机译：遥感数据是过去40年环境研究中最重要的数据来源。由于在连续几年的时间范围内已采集了大量遥感影像，因此现在有可能研究环境变化和人类活动影响的长期时空格局。本研究通过在中国干旱区塔里木河中游的13年监测时间范围内整合多时相遥感数据，寻求一种有效且实用的土地利用监测和时空格局分析方法。使用了多源，多尺度的遥感图像，包括由Landsat 5和7，中国-巴西地球资源卫星（CBERS）和Beijing-1（BJ-1）采集的多光谱图像。建立土地利用变化的时间轨迹是为了分析其空间格局，以便更好地了解人类对中国干旱环境脆弱生态系统的影响。本研究基于分类后比较方法分析了土地利用变化轨迹的空间格局。所有图像都分为5至6个类别，然后又分为农田和其他两个主要类别。然后，利用分类结果得出耕地面积统计数据和时空轨迹。结果表明，在13年的研究期内，耕地面积增长了两倍以上，年增长率超过10％。研究还表明，由于某些环境问题，如水资源短缺和盐碱化，农田弃耕现象在某些地区十分严重。使用这种方法，人们可以重新建立土地利用变化的历史，并将其与其他环境和社会经济数据相关联，从而更好地理解自然环境对人类后果的反应。经济发展和政府政策。

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