摘要:
在全球环境变化研究中,对土地利用和土地覆盖的描述、量化和监测尤为重要.为此,基于综合变化检测算法(comprehensive change detection method,CCDM),计算2011—2016年Landsat影像(P033/R033)的土地类型变化.CCDM整合了2种基于光谱的变化检测方法,即多指标综合变化分析(multi-index integrated change analysis, MII-CA)模型和分区(Zone)变化检测模型.通过计算变化向量(change vector,CV)、最大相对变化向量(relative change vector maximum,RCVMAX)、差分归一化燃烧率(differenced normalized burn ratio, dNBR)和差分归一化植被指数(differenced normalized difference vegetation index,dNDVI)等4个光谱指标和时间(t)提取2期Landsat影像的变化.此外,根据前期和当前土地覆盖的变化趋势和MIICA与Zone结果的变化,对CCDM结果的准确性进行了评价.评价结果表明:非变化类的准确率为96%,变化类的准确率为40%,总体精度为68%.CCDM方法简单、容易实现、应用广泛,能捕捉不同景观中各种自然和人为干扰引起的潜在土地覆盖变化,可为国家土地覆盖更新和土地变化检测提供技术支持.
Abstract:
Describing,quantifying and monitoring land use/land cover change play an important role in the global and environmental change investigation. Based on a comprehensive change detection method(CCDM),the authors mapped the land cover changes in the period between 2011 and 2016 over the Landsat image (Path33/Row33). CCDM integrates some spectral change based detection algorithms,which encompasses the multi-index integrated change analysis (MIICA) model and the Zone model, with an emphasis or core on MIICA. By calculating four spectral indices including change vector (CV), relative change vector maximum (RCVMAX), differenced normalized burn ratio (dNBR) and differenced normalized difference vegetation index (dNDVI), the land cover changes were extracted from the bi-temporal imagery. According to the previous and the current land cover change trends,coupled with the changes in results from MIICA and Zone models,the accuracies of change detection results by CCDM were evaluated. The results show that there is an accuracy of 96% for the category of no-change,and 40% for change category, with an overall accuracy of 68%. The CCDM is a simple, easily realized and widely used model to capture the potential land cover changes caused by the diverse natural and anthropengic disturbances in different landscapes.
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