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作 者:陈旭 Chen Xu(Gansu Dunhuang West Lake National Nature Reserve Management and Protection Center,Dunhuang,China)
机构地区:[1]甘肃敦煌西湖国家级自然保护区管护中心,甘肃敦煌
出 处:《科学技术创新》2025年第4期76-79,共4页Scientific and Technological Innovation
摘 要:本文以敦煌西湖自然保护区为例,探究了基于MODIS数据的湿地动态监测技术的应用。在收集MODIS数据、1:400万基础地理信息数据和DEM数据的基础上,对数据进行了拼接、投影转换等处理。采取决策树分类方法对处理后数据进行分类,从图像中区分永久性湿地和季节性湿地。总体分类精度在80%以上,分类精度能够满足要求。在此基础上选取CA、LSI和SHDI等景观指数对研究区湿度变化情况进行评价,结果表明在2010-2023年间研究区湿地面积扩大,其中永久性湿地增加3.86%、季节性湿地增加5.28%。This article takes Dunhuang West Lake Nature Reserve as an example to explore the application of wetland dynamic monitoring technology based on MODIS data.On the basis of collecting MODIS data,1:4 million basic geographic information data,and DEM data,the data was processed through concatenation,projection conversion,and other techniques.Adopt decision tree classification method to classify the processed data and distinguish permanent wetlands from seasonal wetlands in the image.The overall classification accuracy is above 80%,and the classification accuracy can meet the requirements.On this basis,landscape indices such as CA,LSI,and SHDI were selected to evaluate the humidity changes in the study area.The results showed that the wetland area in the study area expanded from 2010 to 2023,with permanent wetlands increasing by 3.86%and seasonal wetlands increasing by 5.28%.
关 键 词:湿地动态监测 MODIS数据 决策树 景观多样性
分 类 号:X36[环境科学与工程—环境工程]
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