An Improved Estimation of Regional Fractional Woody/Herbaceous Cover   Using Combined Satellite Data and High-Quality Training Samples

doi:10.3390/rs9010032

CORC > 北京大学 > 城市与环境学院

	An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples
	Liu, Xu ; Liu, Hongyan ; Qiu, Shuang ; Wu, Xiuchen ; Tian, Yuhong ; Hao, Qian
刊名	REMOTE SENSING
	2017
关键词	vegetation fractional cover semi-arid area MODIS satellite data integration spatial sampling design image classification Random Forest regression model performance evaluation LAND-COVER INNER-MONGOLIA MODIS DATA VEGETATION SURFACE STEPPE FOREST COEXISTENCE TOPOGRAPHY TRANSITION
DOI	10.3390/rs9010032
英文摘要	Mapping vegetation cover is critical for understanding and monitoring ecosystem functions in semi-arid biomes. As existing estimates tend to underestimate the woody cover in areas with dry deciduous shrubland and woodland, we present an approach to improve the regional estimation of woody and herbaceous fractional cover in the East Asia steppe. This developed approach uses Random Forest models by combining multiple remote sensing datatraining samples derived from high-resolution image in a tailored spatial sampling and model inputs composed of specific metrics from MODIS sensor and ancillary variables including topographic, bioclimatic, and land surface information. We emphasize that effective spatial sampling, high-quality classification, and adequate geospatial information are important prerequisites of establishing appropriate model inputs and achieving high-quality training samples. This study suggests that the optimal models improve estimation accuracy (NMSE 0.47 for woody and 0.64 for herbaceous plants) and show a consistent agreement with field observations. Compared with existing woody estimate product, the proposed woody cover estimation can delineate regions with subshrubs and shrubs, showing an improved capability of capturing spatialized detail of vegetation signals. This approach can be applicable over sizable semi-arid areas such as temperate steppes, savannas, and prairies.; National Natural Science Foundation of China [NSFC 41325002, 41530747]; National Key Research and Development Program [2016YFC0500701]; SCI(E); ARTICLE; 1; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/476303]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Liu, Xu,Liu, Hongyan,Qiu, Shuang,et al. An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples[J]. REMOTE SENSING,2017.
APA	Liu, Xu,Liu, Hongyan,Qiu, Shuang,Wu, Xiuchen,Tian, Yuhong,&Hao, Qian.(2017).An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples.REMOTE SENSING.
MLA	Liu, Xu,et al."An Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training Samples".REMOTE SENSING (2017).