Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture
文献类型:期刊论文
作者 | Fan, Lei1; Xiao, Qing1; Wen, Jianguang1; Liu, Qiang1; Tang, Yong1; You, Dongqin1; Wang, Heshun1; Gong, Zhaoning1; Li, Xiaowen1 |
刊名 | REMOTE SENSING
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出版日期 | 2015 |
卷号 | 7期号:3页码:511-522 |
通讯作者 | Xiao, Q (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. |
英文摘要 | High spatial resolution airborne data with little sub-pixel heterogeneity were used to evaluate the suitability of the temperature/vegetation (Ts/VI) space method developed from satellite observations, and were explored to improve the performance of the Ts/VI space method for estimating soil moisture (SM). An evaluation of the airborne Delta T-s/Fr space (incorporated with air temperature) revealed that normalized difference vegetation index (NDVI) saturation and disturbed pixels were hindering the appropriate construction of the space. The non-disturbed Delta T-s/Fr space, which was modified by adjusting the NDVI saturation and eliminating the disturbed pixels, was clearly correlated with the measured SM. The SM estimations of the non-disturbed Delta T-s/Fr space using the evaporative fraction (EF) and temperature vegetation dryness index (TVDI) were validated by using the SM measured at a depth of 4 cm, which was determined according to the land surface types. The validation results show that the EF approach provides superior estimates with a lower RMSE (0.023 m(3)center dot m(-3)) value and a higher correlation coefficient (0.68) than the TVDI. The application of the airborne Delta T-s/Fr space shows that the two modifications proposed in this study strengthen the link between the Delta T-s/Fr space and SM, which is important for improving the precision of the remote sensing Ts/VI space method for monitoring SM. |
研究领域[WOS] | Remote Sensing |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000353685200037 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38257] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Fan, Lei 2.Xiao, Qing 3.Wen, Jianguang 4.Tang, Yong 5.You, Dongqin 6.Wang, Heshun] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 7.[Fan, Lei 8.You, Dongqin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 9.[Wen, Jianguang] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China 10.[Liu, Qiang] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Fan, Lei,Xiao, Qing,Wen, Jianguang,et al. Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture[J]. REMOTE SENSING,2015,7(3):511-522. |
APA | Fan, Lei.,Xiao, Qing.,Wen, Jianguang.,Liu, Qiang.,Tang, Yong.,...&Li, Xiaowen.(2015).Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture.REMOTE SENSING,7(3),511-522. |
MLA | Fan, Lei,et al."Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture".REMOTE SENSING 7.3(2015):511-522. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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