Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Tianjie Zhao"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 55, Iss , Pp 101916- (2024)
Study region: Southwest China Study focus: Water use efficiency (WUE) is a key variable for understanding the carbon and water cycling processes in ecosystems. There exists the world's largest continuous karst topography in Southwest China, rendering
Externí odkaz:
https://doaj.org/article/16739e49288f4b1aa7bbc84572c82d26
Autor:
Jiaqi Zhang, Tianjie Zhao, Shurun Tan, Nemesio Rodriguez-Fernandez, Huazhu Xue, Na Yang, Yann Kerr, Jiancheng Shi
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 744-760 (2024)
The two vegetation transfer parameters of [Formula: see text] (Vegetation Optical Depth,VOD) and [Formula: see text] (Omega) could vary significantly across microwave channels in terms of frequencies, polarizations, and incidence angles, and their ch
Externí odkaz:
https://doaj.org/article/458ae538721e4a82886ce03d6c2a4586
Autor:
Shaojie Du, Pan Duan, Tianjie Zhao, Zhen Wang, Shengda Niu, Chunfeng Ma, Defu Zou, Panpan Yao, Peng Guo, Dong Fan, Qi Gao, Jingyao Zheng, Zhiqing Peng, Haishen Lü, Jiancheng Shi
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTSoil moisture plays a crucial role in understanding the hydrological cycle and the ecological environment. This research presents an improved change detection method that leverages time series data from Sentinel-1 radar and Sentinel-2 optical
Externí odkaz:
https://doaj.org/article/fa24674fe67e4daaa59889b4db6917e3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14742-14751 (2024)
Soil moisture is a critical variable in climate forecasting, hydrology, and others. Satellite-based remote sensing techniques have been used to map soil moisture globally, including visual bands, infrared, Synthetic Aperture Radar (SAR), passive micr
Externí odkaz:
https://doaj.org/article/aa982b4dcd66458b983f47b1cd1e75c1
Autor:
Chi Wang, Na Yang, Tianjie Zhao, Huazhu Xue, Zhiqing Peng, Jingyao Zheng, Jinmei Pan, Panpan Yao, Xiaowen Gao, Hongbo Yan, Peilin Song, Yuei-An Liou, Jiancheng Shi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8258-8270 (2024)
In cold regions, the coexistence and interconversion of liquid water and ice in frozen soils have important implications for energy partitioning and surface runoff at the Earth's surface. Passive microwave remote sensing is crucial for the global mon
Externí odkaz:
https://doaj.org/article/c352b79c054146fba3977130819d501d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5970-5985 (2024)
Dense soil moisture observation networks serve as the primary means to validate large-scale satellite soil moisture products. However, maintaining intensive observation demands substantial labor and financial resources. It is therefore crucial to add
Externí odkaz:
https://doaj.org/article/15292fd70d0d4bc097aa68498194633c
Autor:
Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Yann H. Kerr, Nemesio J. Rodríguez-Fernández, Panpan Yao, Tao Che
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-14 (2023)
Abstract The Soil Moisture Ocean Salinity (SMOS) was the first mission providing L-band multi-angular brightness temperature (TB) at the global scale. However, radio frequency interferences (RFI) and aliasing effects degrade, when present SMOS TBs, a
Externí odkaz:
https://doaj.org/article/73ab14b747d9427698f889142ef22ba7
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103600- (2023)
Antarctic Ice Sheet (AIS) surface snowmelt can profoundly impact climatological and hydrological processes, as well as energy and mass balances. Passive microwave remote sensing has proven highly effective in detecting snowmelt, and the accuracy of t
Externí odkaz:
https://doaj.org/article/da50036a9c6b42f1bc9b3568fb090618
Autor:
Luyao Zhu, Hongquan Wang, Tianjie Zhao, Wenjie Li, Yongjun Li, Cheng Tong, Xiaodong Deng, Huafeng Yue, Ke Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103572- (2023)
High-resolution soil moisture (SM) products are crucial for managing water in agricultural regions, irrigation scheduling, and land–atmosphere model simulations. Most satellite-based SM products have spatial resolutions in the tens of kilometers, w
Externí odkaz:
https://doaj.org/article/8611d55fe2ad4205a88be5e4553cdb70
Autor:
Panpan Yao, Hui Lu, Tianjie Zhao, Shengli Wu, Zhiqing Peng, Michael H. Cosh, Li Jia, Kun Yang, Peng Zhang, Jiancheng Shi
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract Surface soil moisture (SSM) is an important variable in drought monitoring, floods predicting, weather forecasting, etc. and plays a critical role in water and heat exchanges between land and atmosphere. SSM products from L-band observations
Externí odkaz:
https://doaj.org/article/cd00bf535df84ab186c2f55044953212