基于GEE的东南亚主产区橡胶林分布遥感提取
2021-12-23李伟光张京红刘少军陈小敏邹海平白蕤吕润
李伟光 张京红 刘少军 陈小敏 邹海平 白蕤 吕润





摘 要:为遥感监测全球橡胶主产区橡胶的长势,选取橡胶产量最大的泰国、马来西亚、印度尼西亚三国,开展基于Google Earth Engine(GEE)的橡胶林分布遥感提取研究。通过目视解译选择典型样本区,根据Landsat 7多波段光谱特征、MODIS NDVI反映的植被物候特征建立分类回归树CART分类模型提取橡胶林分布。精度评价显示模型总体分类精度为95.8%,Kappa系数为0.94,生产者精度达到94.8%,用户精度为88.2%,达到较高水平。模型提取结果显示:橡胶林在泰国中部、南部半岛,马来半岛的东部和南部地区,苏门答腊岛分布较为集中,而泰国北部、加里曼丹岛及其他岛屿橡胶林相对稀疏。
关键词:东南亚;橡胶;分布;Google Earth Engine
中图分类号:S29 文献标识码:A
Abstract: In order to monitor the growth of rubber forest in the main rubber foresttree producing areas of the world by remote sensing, we carried out the remote sensing extraction of rubber forest distribution based on Google Earth engine (GEE) in Thailand, Malaysia and Indonesia, which are the three largest rubber producing countries in the world. The typical sample areas were selected through visual interpretation, and the classification regression tree CART classifica-tion model was established based on the multi-band spectral albedo of Landsat 7 and the vegetation phenological cha-racteristics reflected by MODIS NDVI. The overall classification accuracy of the model was 95.8%, the Kappa coeffi-cient was 0.94, the producer accuracy was 94.8%, and the user accuracy was 88.2%, reaching a high level. The extrac-tion results show that rubber plantations are concentrated in central and southern peninsula of Thailand, the eastern and southern parts of Malay Peninsula and Sumatra Island, while rubber plantations are relatively sparse in northern Thailand, Kalimantan Island and other islands.
Keywords: Southeast Asia; rubber; distribution; Google Earth Engine
DOI: 10.3969/j.issn.1000-2561.2021.11.037
天然橡胶不仅是重要的工业原料,更是国防和工业建设不可或缺的战略能源。橡胶树作为重要的经济作物在热带地区农民增收和经济发展中发挥着越来越重要的作用。东南亚地区产出的橡胶占全球总产量90%以上;其中泰国、印度尼西亚、马来西亚三国占全球割胶面积的72%[1]。掌握该地区橡胶种植、长势等情况,对我国政府部门及时制定或调整产业发展政策,保障天然橡胶资源供应安全,维护橡胶产业的健康发展具有重要意义。利用遥感技术提取天然橡胶林种植的空间分布信息,获取橡胶林种植的时空变化特征,是开展橡胶林长势、灾害、产量遥感监测的重要前置条件[2-4]。
在遥感提取国内橡胶林种植分布方面,张京红等[5]利用Landsat-TM卫星影像采用监督分类的方法提取了海南岛2008年天然橡胶种植面积信息。……
