Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland
文献类型：期刊论文
| 作者 | Feng, Sijia1,8; Qiu, Jianxiu1,8; Crow, Wade T.7; Mo, Xingguo5,6; Liu, Suxia5,6; Wang, Sheng4; Gao, Lun4; Wang, Xinghan3; Chen, Shuisen2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 617页码:12 |
| ISSN号 | 0022-1694 |
| 关键词 | Vegetation water content Soil moisture retrieval SMAP Sentinel-2 DCA SCA-V |
| DOI | 10.1016/j.jhydrol.2022.129015 |
| 通讯作者 | Qiu, Jianxiu(qiujianxiu@mail.sysu.edu.cn) |
| 英文摘要 | Satellite-based soil moisture (SM) retrieval within agricultural regions is challenging due to pronounced vege-tation and land cover variations during the growing season. Vegetation water content (VWC)-used to describe vegetation opacity in both the Soil Moisture Active Passive (SMAP) Dual Channel Algorithm (DCA) and V-po-larization Single Channel Algorithm (SCA-V)-is approximated using a climatological Normalized Difference Vegetation Index (NDVI) time series. To understand the impact of VWC algorithms on SMAP SM retrievals, we investigated optimal vegetation indices for VWC estimation, and further evaluated the impact of VWC uncer-tainty on DCA and SCA-V SM retrievals. Besides NDVI, we applied four dynamic vegetation indices (VIs) acquired from Sentinel-2-including two red-edge VIs (Modified Chlorophyll Absorption Ratio Index (MCARI) and Inverted Red-edge Chlorophyll Index (IRECI)) and two non-red-edge VIs (Normalized Difference Water Index (NDWI1 and NDWI2)) to estimate growing-season corn VWC and the impact of different empirical relationships on VWC estimates. We find that climatological NDVI from Moderate Resolution Imaging Spectroradiometer (MODIS) significantly underestimates VWC, and therefore underestimates SM over croplands in Northwest China during the growing season, whereas dynamic VIs can improve the accuracy of VWC and SM retrievals. With respect to the choice of VI for VWC estimation, MCARI is more accurate during the peak growing season compared to its counterpart non-red-edge VIs; however, it also overestimates VWC during the early growing stage. In addition, the influence of VWC uncertainty on SM accuracy is shown to be higher in SCA-V than in DCA. The results of this study provide insight into preferred approaches for the accurate estimation of VWC and associated improvement in passive microwave algorithms for SM retrieval. |
| WOS关键词 | VERTICAL MEASUREMENT DEPTH ; INFORMATION-CONTENT ; MICROWAVE EMISSION ; SURFACE ; EVAPOTRANSPIRATION ; SENTINEL-2 ; PARAMETERS ; QUALITY ; MODEL ; INDEX |
| 资助项目 | National Natural Science Foundation of China[41971031] ; Ministry of Science and Technology of the People 's Republic of China[2021xjkk0803] ; Ministry of Science and Technology of the People 's Republic of China[2022YFF0801804] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000990598000001 |
| 资助机构 | National Natural Science Foundation of China ; Ministry of Science and Technology of the People 's Republic of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197387]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qiu, Jianxiu |
| 作者单位 | 1.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Peoples R China 2.Guangdong Acad Sci, Guangzhou Inst Geog, Guangdong Engn Technol Res Ctr Remote Sensing Big, Guangzhou 510070, Peoples R China 3.Pearl River Water Resources Res Inst, Water Resources Remote Sensing Dept, Guangzhou 510610, Peoples R China 4.Univ Illinois, Inst Sustainabil Energy & Environm, Urbana, IL 61801 USA 5.Univ Chinese Acad Sci, Coll Resources & Environm, Sino Danish Coll, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 7.USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA 8.Guangdong Prov Engn Res Ctr Publ Secur & Disaster, Guangzhou 510275, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Sijia,Qiu, Jianxiu,Crow, Wade T.,et al. Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland[J]. JOURNAL OF HYDROLOGY,2023,617:12. |
| APA | Feng, Sijia.,Qiu, Jianxiu.,Crow, Wade T..,Mo, Xingguo.,Liu, Suxia.,...&Chen, Shuisen.(2023).Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland.JOURNAL OF HYDROLOGY,617,12. |
| MLA | Feng, Sijia,et al."Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland".JOURNAL OF HYDROLOGY 617(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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