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	Uncertainty Assessment of GlobeLand30 land cover dataset over Central Asia
	Sun Bo; Chen Xi; Zhou Qiming
	2016
会议名称	ISPRS Congress
会议地点	捷克布拉格
英文摘要	Detailed and accurate information on the spatial variation of soil types and soil properties are criti-cal components of environmental research and hydrological modeling. Early studies introduced a soilfeedback pattern as a promising environmental covariate to predict spatial variation over low-reliefareas. However, in practice, local evaporation can have a significant influence on these patterns, mak-ing them incomparable at different locations. This study aims to solve this problem by examining theconcept of transforming the dynamic patterns of soil feedback from the original time-related space toa new evaporation-related space. A study area in northeastern Illinois with large low-relief farmlandwas selected to examine the effectiveness of this idea. Images from MODIS in Terra for every April–Mayperiod over 12 years (2000–2011) were used to extract the soil feedback patterns. Compared to the orig-inal time-related space, the results indicate that the patterns in the new evaporation-related space tendto be more stable and more easily captured from multiple rain events regardless of local evaporationconditions. Random samples selected for soil subgroups from the SSURGO soil map show that patternsin the new space reveal a difference between different soil types. And these differences in patterns areclosely related to the difference in the soil structure of the surface layer.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10299]
专题	深圳先进技术研究院_数字所
作者单位	2016
推荐引用方式 GB/T 7714	Sun Bo,Chen Xi,Zhou Qiming. Uncertainty Assessment of GlobeLand30 land cover dataset over Central Asia[C]. 见:ISPRS Congress. 捷克布拉格.

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