Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rse.2020.111680 |
Soil moisture experiment in the Luan River supporting new satellite mission opportunities | |
Zhao, Tianjie1; Shi, Jiancheng1; Lv, Liqing2; Xu, Hongxin2; Chen, Deqing3; Cui, Qian3; Jackson, Thomas J.4; Yan, Guangjian5; Jia, Li1; Chen, Liangfu1; Zhao, Kai6; Zheng, Xingming6; Zhao, Limin1; Zheng, Chaolei1; Ji, Dabin1; Xiong, Chuan7; Wang, Tianxing1; Li, Rui1; Pan, Jinmei1; Wen, Jianguang1; Yu, Chao1; Zheng, Yaomin1; Jiang, Lingmei5; Chai, Linna5; Lu, Hui8; Yao, Panpan8; Ma, Jianwei9; Lv, Haishen10; Wu, Jianjun5; Zhao, Wei11,12; Yang, Na13; Guo, Peng14; Li, Yuxia15; Hu, Lu1; Geng, Deyuan1; Zhang, Ziqian16 | |
通讯作者 | Shi, Jiancheng |
来源期刊 | REMOTE SENSING OF ENVIRONMENT |
ISSN | 0034-4257 |
EISSN | 1879-0704 |
出版年 | 2020 |
卷号 | 240 |
英文摘要 | The Soil Moisture Experiment in the Luan River (SMELR) was conducted from 2017 to 2018 in the semi-arid Luan River watershed located in the North of China. One of the objectives of SMELR is to serve as an assessment tool and demonstration for a new Terrestrial Water Resources Satellite (TWRS) concept with one-dimensional synthetic aperture microwave techniques, for which soil moisture retrieval under variable satellite observing configurations (mainly in terms of incidence angels) is the greatest challenge. This proposed mission is targeted to provide continuity for the current satellite L-band microwave observations, and further improve the accuracy and spatial resolution of soil moisture mapping through the synergistic use of active, passive and optical remote sensing data. Multi-resolution, multi-angle and multi-spectral airborne data were obtained four times over a 70 km by 12 km area in the Shandian River basin, and one time over a 165 km by 5 km area that includes the Xiaoluan River basin. The near surface soil moisture (0 cm-5 cm) was measured extensively on the ground in fifty 1 km by 2 km quadrats (targeted to compare with the airborne radiometer), and two hundred and fifty 200 m by 200 m quadrats corresponding to radar observations. Two networks were established for continuous measurement of the soil moisture and temperature profile (3 cm, 5 cm, 10 cm, 20 cm, 50 cm) and precipitation in the Shandian and Xiaoluan River basin, respectively. Supporting ground measurements also included ground temperature, vegetation water content, surface roughness, continuous measurement of microwave emission and backscatter at a pasture site, reflectance of various land cover types, evapotranspiration and aerosol observations. Preliminary results within the experimental area indicate that (1) the near surface soil moisture spatial variability at a 200 m scale was up to similar to 0.1 cm(3)/cm(3) at an intermediate value of similar to 0.35 cm(3)/cm(3). (2) The difference of soil and vegetation temperature in grass and croplands reach its maximum of 11 K around solar noon time, and the soil temperature gradient is largest at around 15 P.M. (3) Both the airborne and ground measurements cover a wide range of conditions. The L-band active and passive observations exhibit a large variation of similar to 30 dB and similar to 80 K, respectively, corresponding to soil moisture range from 0.1 cm(3)/cm(3) to 0.5 cm(3)/cm(3). The sensitivity of both active and passive data to soil moisture is compared at corresponding spatial resolutions and show high information complementarity for better accuracy and resolution soil moisture retrieval. |
英文关键词 | Terrestrial Water Resources Satellite Soil moisture Airborne experiment L-band active and passive Luan River |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000523955300037 |
WOS关键词 | SEMIARID ENVIRONMENT ; MICROWAVE RADIOMETER ; BAND ; SURFACE ; RETRIEVAL ; VALIDATION ; VEGETATION ; MODEL ; EMISSION ; WATER |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | 北京师范大学 ; 清华大学 ; 河海大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/315443 |
作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, 20 Datun Rd, Beijing 100101, Peoples R China; 2.Shanghai Acad Spaceflight Technol, Shanghai, Peoples R China; 3.Minist Water Resources China, Informat Ctr, Beijing, Peoples R China; 4.USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD USA; 5.Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China; 6.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Beijing, Peoples R China; 7.Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu, Sichuan, Peoples R China; 8.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China; 9.China Inst Water Resources & Hydropower Res, Beijing, Peoples R China; 10.Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China; 11.Chinese Acad Sci, Inst Mt Hazards & Environm, Beijing, Peoples R China; 12.Minist Water Conservancy & Power, Beijing, Peoples R China; 13.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo, Henan, Peoples R China; 14.Shandong Agr Univ, Coll Informat Sci & Engn, Tai An, Shandong, Peoples R China; 15.Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Sichuan, Peoples R China; 16.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Tianjie,Shi, Jiancheng,Lv, Liqing,et al. Soil moisture experiment in the Luan River supporting new satellite mission opportunities[J]. 北京师范大学, 清华大学, 河海大学,2020,240. |
APA | Zhao, Tianjie.,Shi, Jiancheng.,Lv, Liqing.,Xu, Hongxin.,Chen, Deqing.,...&Zhang, Ziqian.(2020).Soil moisture experiment in the Luan River supporting new satellite mission opportunities.REMOTE SENSING OF ENVIRONMENT,240. |
MLA | Zhao, Tianjie,et al."Soil moisture experiment in the Luan River supporting new satellite mission opportunities".REMOTE SENSING OF ENVIRONMENT 240(2020). |
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