Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Root zone soil moisture"'
Publikováno v:
IEEE Access, Vol 12, Pp 76121-76132 (2024)
Root zone soil moisture (RZSM) refers to the amount of water present in the soil layer where plants can freely absorb water, and its information is crucial for various applications such as hydrology and agriculture. SMOS and SMAP remote sensing satel
Externí odkaz:
https://doaj.org/article/c579ff7855824245bf94517b9bde4179
Publikováno v:
IEEE Access, Vol 12, Pp 48898-48909 (2024)
Accurate root zone soil moisture (RZSM) estimation is essential for precision irrigation (PI) systems that seek to optimize water use efficiency. Large-scale in-situ sensors for direct measurement are costly, while existing satellites lack depth reso
Externí odkaz:
https://doaj.org/article/47a4fc97031d4f5a8da5a7cfc1563cc0
Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China
Autor:
Jing Tian, Yongqiang Zhang
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4008-4022 (2023)
Root zone soil moisture (RZSM) is a critical parameter for drought monitoring, agriculture, and vegetation growth. In situ measurements of RZSM are scarce, and therefore, RZSM products are derived mainly through modeling approaches. This study evalua
Externí odkaz:
https://doaj.org/article/212ea8a6e92e4a1f8e1b63eb782aaffe
Autor:
Shidan Zhu, Ningbo Cui, Huaan Jin, Xiuliang Jin, Li Guo, Shouzheng Jiang, Zongjun Wu, Min Lv, Fei Chen, Quanshan Liu, Mingjun Wang
Publikováno v:
Agricultural Water Management, Vol 294, Iss , Pp 108705- (2024)
Accurately estimating of soil moisture content (SMC) is essential for effective irrigation water management and optimizing plant water productivity. Recent advancements in multi-sensor platforms and ensemble learning (EL) algorithms such as the use o
Externí odkaz:
https://doaj.org/article/bc4c377fc9c54d28978b822a270cdf54
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 52, Iss , Pp 101712- (2024)
Study region: China and the different climatic zones. Study focus: Vapor pressure deficit (VPD) and soil moisture (SM) are vital for the land-atmosphere hydrological cycle and vegetation growth. Understanding the spatiotemporal variations of VPD and
Externí odkaz:
https://doaj.org/article/f55613ca16d24e82931e7379c6c8cef2
Autor:
Héctor Ernesto Huerta-Bátiz, Daniel Enrique Constantino-Recillas, Alejandro Monsiváis-Huertero, Juan Carlos Hernández-Sánchez, Jasmeet Judge, Ramón Sidonio Aparicio-García
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 52-78 (2022)
An Ensemble Kalman Filter (EnKF)-based assimilation algorithm was implemented to estimate root-zone soil moisture (RZSM) using a Soil-Vegetation-Atmosphere Transfer (SVAT) model during a complete growing season of corn in Central Mexico. Synthetic an
Externí odkaz:
https://doaj.org/article/61020953fb1e4f308bcc35ac7efe4b2c
Akademický článek
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Akademický článek
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Publikováno v:
Water, Vol 15, Iss 23, p 4133 (2023)
Root-zone soil moisture (RZSM) plays a key role in the hydrologic cycle and regulates water–heat exchange. Although site observations can provide soil profile moisture measurements, they have a restricted representation. Satellites can determine so
Externí odkaz:
https://doaj.org/article/29d88968c9464c51801f4e064d204ddb
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5361 (2023)
Root zone soil moisture (RZSM) controls vegetation transpiration and hydraulic distribution processes and plays a key role in energy and water exchange between land surface and atmosphere; hence, accurate estimation of RZSM is crucial for agricultura
Externí odkaz:
https://doaj.org/article/ba09f119f81248208a6adfdd3c5722fe