全球土地覆盖产品中森林类型数据在中国区域的质量评估  

Assessment of Forest Type Data in Global Land Cover Products over China

作　　者：陈雨莹 王龑 邹艳红[1] 杨永可 CHEN Yuying;WANG Yan;ZOU Yanhong;YANG Yongke(Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,Central South University,Changsha 410083,China;School of Science,Central South University of Forestry&Technology,Changsha 410004,China;Zhejiang Design Institute of Water Conservancy and Hydroelectric Power,Hangzhou 310002,China)

机构地区：[1]中南大学有色金属成矿预测与地质环境监测教育部重点实验室,湖南长沙410083 [2]中南林业科技大学理学院,湖南长沙410004 [3]浙江省水利水电勘测设计院,浙江杭州310002

出　　处：《遥感技术与应用》2023年第2期341-352,共12页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(42001275);中南林业科技大学人才引进项目(2018YJ032)。

摘　　要：全球土地覆盖产品是森林类型数据的重要来源,系统评估不同产品中森林类型数据质量对数据使用者及生产新的数据具有指导意义。选取CCI-LC、MCD12Q1、Globeland30、GLCFCS30、FROM-GLC10、Esri10和ESA10七套土地覆盖产品,从自身稳定性、面积比较、空间一致性、精度估算4个方面评估其森林类型数据质量。结果显示CCI-LC中森林类型数据稳定性显著高于其他产品,2001~2019年19期数据的稳定性大于94%;就森林总面积而言,Globeland30、GLC-FCS30和Esri10与第九次全国森资源调查数据最为接近,Esri10的灌木存在严重高估现象;Esri10和MCD12Q1与其他产品的空间一致性均较低,ESA10和FROM-GLC10的一致性最高(85.3%);高空间分辨率产品的总体精度优于中低空间分辨率产品,不考虑灌木时,ESA10、FROM-GLC10和Esri10的总体精度分别为90.63、87.99、85.22;GLC-FCS30、CCI-LC和MCD12Q1中精细森林类型总体精度均低于48%。Global land cover products are important resources of forest type data,and systematic evaluation of forest type data in different global land cover products is important for data usage and new data production.Quality of forest type data in seven global land cover products(CCI-LC,MCD12Q1,Globeland30,GLC-FCS30,FROM-GLC10,Esri10 and ESA10)were systematic assessed from four aspects,including self-stability analysis,area comparison,spatial consistency comparison and accuracy index calculation.The results show that the self-stability of forest type data in CCI-LC is significantly higher than that in other products,the self-stability of CCI-LC from 2001 to 2019 is above 94%;Forest area in product with higher spatial resolution(10 m,30 m)is significantly larger than that with lower spatial resolution(300 m,500 m).Among them,shrub area in Esri10 is far greater than that in other products;Esri10 and MCD12Q1 both have low spatial consistency with the other five products,the highest spatial consistency occurs between ESA10 and FROM-GLC10,which is about 85.3%;The overall accuracy of higher spatial resolution product is better than that with lower spatial resolution.When shrubs were not considered,the overall accuracy are 90.63%,87.99%,and 85.22%for ESA10,FROM-GLC10 and Esri10 respectively.Overall accuracy of GLC-FCS30,CCI-LC and MCD12Q1 are all below 48%when applying a finer classification legend instead of a simplified classification legend.

关 键 词：森林类型数据 自身稳定性 面积比较 空间一致性 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]