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	The application of a binary division procedure to the classification of forest subcategories using MODIS time-series data during 2000-2010 in China
	Qiao Z.; Xu, X. L.; Zhao, M. Y.; Wang, F.; Liu, L.
	2016
关键词	global land-cover ndvi data vegetation index avhrr ndvi data sets meris tm australia patterns imagery
英文摘要	Forests account for more than 23% of China's total area. As the most important terrestrial ecosystem, forests have tremendous ecological value. However, it remains difficult to classify forest subcategories at the national scale. In this study, a newly developed binary division procedure was used to categorize forest areas, including their spatiotemporal dynamics, during the period 2000-2010. Time-series images acquired using the Moderate Resolution Imaging Spectroradiometer (MODIS), together with auxiliary data on land use, climate zoning, and topography, were utilized. Hierarchical classification and zoning were combined with remote-sensing auto-classification. Based on the forest extent mask, the state-level forest system was divided into four classes and 18 subcategories. The method achieved an acceptable overall accuracy of 73.1%, based on a comparison to the sample points of China's fourth forest general survey data set. In 2010, the total forest area was 1.755 x 10(6) km(2), and the total area of and shrubs was 4.885 x 10(5) km(2). The total area of woodland increased by 2536.25 km(2) during the decade 2000-2010. The shrub subcategories exhibited almost no change during this time period; however, significant changes in forest area occurred in the mountainous region of Northeast China as well as in the hilly regions of Southern China. The main transformations took place in cold-temperate and temperate mountainous deciduous coniferous forest, subtropical deciduous coniferous forest, subtropical evergreen coniferous forest, and temperate and subtropical deciduous broadleaved mixed forests. The binary division procedure proposed herein can be used not only to rapidly classify more forest subcategories and monitor their dynamic changes, but also to improve the classification accuracy compared with global and national land-cover maps.
出处	International Journal of Remote Sensing
卷	37
期	10
页	2433-2450
语种	英语
ISSN号	0143-1161
DOI标识	10.1080/01431161.2016.1176269
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/42772]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Qiao Z.,Xu, X. L.,Zhao, M. Y.,et al. The application of a binary division procedure to the classification of forest subcategories using MODIS time-series data during 2000-2010 in China. 2016.

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