中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
  4. 资源与环境信息系统国家重点实验室
  5. 外文论文
Global mapping of fractional tree cover for forest cover change analysis

文献类型：期刊论文

作者Liu, Yang4; Liu, Ronggao1,4; Qi, Lin3,4; Chen, Jilong3,4; Dong, Jinwei2; Wei, Xuexin3,4
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2024-05-01
卷号211页码:67-82
关键词Tree cover Forest density Forest cover change Subpixel Global
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2024.03.019
英文摘要Fractional tree cover facilitates the characterization of forest cover changes using satellite data. However, there are still substantial challenges in generating fractional tree cover datasets that satisfy the requirements of interannual stability for forest cover change monitoring. In this study, a global annual fractional tree cover dataset, named as GLOBMAP Fractional Tree Cover, was generated from MODIS observations with a resolution of 250 m during the period of 2000-2022. The tree cover estimation was improved relative to conventional global tree cover mapping methods by developing highly discriminative input features and near global sampling training data. MODIS annual observations were realigned at the pixel level to eliminate phenological differences among regions. The realigned annual series were condensed into twelve features showing high separability between trees and herbaceous vegetation to reduce the dimension of features. A global covering training dataset, comprising 465.88 million sample points, was extracted across the globe through the aggregation and combination of forest/land cover maps from ESA WorldCover, GlobeLand30, PALSAR FNF, and ESRI Land Cover to improve the representativeness of training data. A feed-forward neural network was calibrated to predict fractional tree cover from MODIS data. The spatial pattern of the estimation results was generally consistent with the CGLS-LC100 product at global scale, with the average MAE in global vegetated areas of 12.50 %, while our dataset provided extended temporal coverage. The interannual stability of the estimated tree cover series was improved compared to MODIS vegetation continuous fields products for deciduous broadleaf forests, evergreen broadleaf forests, and mixed forests, with the global average value of mean absolute deviation (MAD) in tree cover series reduced by 5.8 %, 46.9 %, and 18.3 %, respectively. The estimation results were assessed using globally distributed validation data around BELMANIP 2.1 sites and those derived from the USGS circa 2010 global land cover reference dataset, leading to the R2 values of 0.93 and 0.73, MAE of 4.24 % and 10.55 %, and RMSE of 11.45 % and 17.98 %, respectively. This dataset could enhance the capability to monitor forest cover changes, particularly gradual changes such as forest recovery.
WOS关键词CONTINUOUS FIELDS ; LAND-SURFACE ; VALIDATION ; DYNAMICS ; AVHRR ; NDVI
资助项目National Key Research and Development Program of China[2019YFA0606603] ; National Natural Science Foundation of China[42161144001] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2019056] ; Youth Project of Innovation LREIS[YPI008]
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001215661500001
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Project of Innovation LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/204866]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liu, Ronggao
作者单位1.11A Datun Rd, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Yang,Liu, Ronggao,Qi, Lin,et al. Global mapping of fractional tree cover for forest cover change analysis[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2024,211:67-82.
APA Liu, Yang,Liu, Ronggao,Qi, Lin,Chen, Jilong,Dong, Jinwei,&Wei, Xuexin.(2024).Global mapping of fractional tree cover for forest cover change analysis.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,211,67-82.
MLA Liu, Yang,et al."Global mapping of fractional tree cover for forest cover change analysis".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 211(2024):67-82.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。