Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Haishen Lü"'
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:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101746- (2024)
Study region: This study was carried on Tibetan Plateau (TP), which is recognized as the “Third Pole” and “Asia Water Tower”. Study focus: TP is suffering extreme hydroclimatic change under global climate warming. Quantifying the hydroclimati
Externí odkaz:
https://doaj.org/article/0d7b25a0477343ef84b4a384574eeb5f
Autor:
Xiaoyi Wang, Gerald Corzo, Haishen Lü, Shiliang Zhou, Kangmin Mao, Yonghua Zhu, Santiago Duarte, Mingwen Liu, Jianbin Su
Publikováno v:
Agricultural Water Management, Vol 295, Iss , Pp 108772- (2024)
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural production and optimizing irrigation management, as forecasting skills are relatively weak during this period. Soil moisture exhibits stronger persistence compar
Externí odkaz:
https://doaj.org/article/b9e2497f7b6c413f8bd5542a232fbd4a
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0291578 (2023)
Surface irrigation systems are widely used on the North China Plain. The design of surface irrigation systems can be improved by developing simulation models including the advanced trajectory, recession trajectory, and infiltration time. Therefore, t
Externí odkaz:
https://doaj.org/article/4b7cffe35e864f458c4d87955d528312
Autor:
Xiaoyi Wang, Haishen Lü, Wade T. Crow, Gerald Corzo, Yonghua Zhu, Jianbin Su, Jingyao Zheng, Qiqi Gou
Publikováno v:
iScience, Vol 26, Iss 1, Pp 105853- (2023)
Summary: The soil moisture active/passive (SMAP) mission represents a significant advance in measuring soil moisture from satellites. However, its large spatial-temporal data gaps limit the use of its values in near-real-time (NRT) applications. Cons
Externí odkaz:
https://doaj.org/article/c67703e46c9e44c7a3302643343998bb
Autor:
Ousmane Badji, Yonghua Zhu, Haishen Lü, Kanon Guédet Guédé, Tingxing Chen, Abdoulaye Oumarou, Kouassi Bienvenue Mikael Onan Yao, Sika Brice
Publikováno v:
Atmosphere, Vol 14, Iss 5, p 860 (2023)
Damage from climate change is widespread throughout the world. This change has brought about calamities, the most prevalent of which is the emergence of numerous droughts which are increasingly threatening human lives. In this paper, we studied the s
Externí odkaz:
https://doaj.org/article/61d26cf3c3b947fdb93dcd127e87b45d
Autor:
En Liu, Yonghua Zhu, Haishen Lü, Robert Horton, Qiqi Gou, Xiaoyi Wang, Zhenzhou Ding, Haiting Xu, Ying Pan
Publikováno v:
Atmosphere, Vol 14, Iss 1, p 124 (2023)
Root zone soil moisture (RZSM) is a vital variable for agricultural production, water resource management and runoff prediction. Satellites provide large-scale and long-term near-surface soil moisture retrievals, which can be used to estimate RZSM th
Externí odkaz:
https://doaj.org/article/9320ccb510ec4b4fa6d1fadc3c33884b
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) V06 product has been widely studied, but the errors and the source of the errors within IMERG over diverse climate regions still need to be quantified. To this end
Externí odkaz:
https://doaj.org/article/d5c2578b046c4aa8afcbf0907a9703e3
Publikováno v:
Earth and Space Science, Vol 6, Iss 12, Pp 2461-2479 (2019)
Abstract The Integrated Multi‐satellitE Retrievals for Global Precipitation Measurement mission (IMERG) aims to deliver the “best” precipitation estimation from space and has attracted much attention. The Version 05 of IMERG products including
Externí odkaz:
https://doaj.org/article/eff55b5babfc45e4bfb72c98568bc3d1
Autor:
Jingyao Zheng, Haishen Lü, Wade T. Crow, Tianjie Zhao, Olivier Merlin, Nemesio Rodriguez-Fernandez, Jiancheng Shi, Yonghua Zhu, Jianbin Su, Chuen Siang Kang, Xiaoyi Wang, Qiqi Gou
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 104, Iss , Pp 102530- (2021)
Remotely sensed soil moisture (SM) with the enhanced spatial resolution (several kilometers or even tens of meters) is of value for important local applications like irrigation scheduling and farm-scale water management. The Disaggregation based on P
Externí odkaz:
https://doaj.org/article/644e08e793a14b69a3c65cfc3765a222