Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Chinese Academy of Sciences · Beijing Normal University · +13 more institutions
Abstract
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over 6600 scenes of Landsat TM data after 2006, and over 2300 scenes of Landsat TM and ETM+ data before 2006, all selected from the green season. These images cover most of the world's land surface except Antarctica and Greenland. Most of these images came from the United States Geological Survey in level L1T (orthorectified). Four classifiers that were freely available were employed, including the conventional maximum likelihood classifier (MLC), J4.8 decision tree classifier, Random Forest (RF) classifier and support vector machine (SVM)…
Citation impact
- FWCI
- 51.71
- Percentile
- 100%
- References
- 101
Authors
43- PGPeng GongCorresponding
Chinese Academy of Sciences, Beijing Normal University, State Key Laboratory of Remote Sensing Science, University of California, Berkeley, Tsinghua University
- JWJie Wang
Chinese Academy of Sciences, Beijing Normal University, State Key Laboratory of Remote Sensing Science
- LYLe Yu
Beijing Information Science & Technology University, Tsinghua University
- YZYongchao Zhao
Chinese Academy of Sciences, University of South Florida, Institute of Electronics, Tsinghua University
- YZYuanyuan Zhao
Chinese Academy of Sciences, University of South Florida, Tsinghua University
Topics & keywords
- Thematic Mapper
- Land cover
- Remote sensing
- Moderate-resolution imaging spectroradiometer
- Orthophoto
- Cartography
- Satellite imagery
- Environmental science
- Zero hunger