期刊文献+

基于CCI和MODIS数据的淮河流域地表土壤湿度降尺度方法研究 被引量:4

Downscaling of Surface Soil Moisture in Huaihe River Based on the CCI and MODIS Data
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摘要 土壤湿度是控制陆地和大气间水热能量交换的一个关键参数,同时也是陆面生态系统水循环的重要组成部分。本文选用25 km分辨率的CCI(Climate Change Initiative)土壤湿度产品数据,并结合1 km分辨率的MODIS数据,构建微波土壤湿度产品数据降尺度回归算法,获取淮河流域1 km空间分辨率的土壤湿度数据。降尺度后所获取淮河流域1 km空间分辨率的土壤湿度数据总体上提高了25 km空间分辨率的CCI土壤湿度产品数据的精度. Soil moisture is a key parameter in controlling the water thermal energy exchange between land and atmosphere. It is also an important constituent of the ecological processes with regards to the water cycle in the ecosystem. A 25 km soil moisture datasets derived from Climate Change Initiative (CCI) and 1 km spatial resolution spectral auxiliary data derives from Moderate Resolution Im- aging Speetroradiometer (MODIS) of the Huaihe river basin were respectively used. The results show that the accuracy of the down- scaled 1 km CCI datasets is improved significantlv as compared to the original 25 km CCI datasets.
作者 尤加俊 安如
出处 《测绘与空间地理信息》 2015年第2期30-34,共5页 Geomatics & Spatial Information Technology
基金 "十二五"国家科技支撑计划"国家尺度生态系统监测与评估技术集成应用系统"(2013BAC03B04) 江苏省"六大人才高峰"项目(XXRJ-011) 国家自然科学基金"基于新生态系统功能指数的三江源区大面积草地退化遥感动态监测方法研究"(41271361) 973计划"国家尺度生态系统服务功能变化及综合评价"(2009CB421105)资助
关键词 土壤湿度 降尺度 回归法 CCI MODIS soil moisture downscaling regression Climate Change Initiative (CCI) MODIS
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参考文献10

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二级参考文献46

共引文献37

同被引文献50

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