Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Linna CHAI"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Frozen soil is a vital component of the cryosphere and is sensitive to climate changes, accelerating thaw when the anthropogenic climate warms. Identifying the state of soil freeze/thaw is crucial for effective water resource management, cold region
Externí odkaz:
https://doaj.org/article/455d0a22e3154b599f9bbea738f844dd
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 3, Pp 771-784 (2023)
The process of soil drying is referred to as soil moisture drydown.It usually occurs after precipitation， especially for surface soil， and we address this process in three dominant regimes： gravity drainage， energy-limited regime and water-li
Externí odkaz:
https://doaj.org/article/d0a899e6b318416384ed7936b9c41a1f
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 950 (2024)
The soil freeze/thaw (FT) state has emerged as a critical role in the ecosystem, hydrological, and biogeochemical processes, but obtaining representative soil FT state datasets with a long time sequence, fine spatial resolution, and high accuracy rem
Externí odkaz:
https://doaj.org/article/38fdd18d079c4411b9473e23a98e0a5b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9272-9285 (2023)
The topographic effect is one of the essential factors affecting microwave radiation in mountainous regions. This effect's correction can improve the inversion accuracy of key surface parameters. Here, a new terrain correction model in microwave pixe
Externí odkaz:
https://doaj.org/article/c485ba1a17cc49fcbbaa243db1f65ddd
Autor:
Mengjia Wang, Jean-Pierre Wigneron, Rui Sun, Lei Fan, Frédéric Frappart, Shengli Tao, Linna Chai, Xiaojun Li, Xiangzhuo Liu, Hongliang Ma, Christophe Moisy, Philippe Ciais
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102609- (2021)
Vegetation optical depth (VOD) retrieved from microwave remote sensing techniques has been used as an important proxy for monitoring the vegetation dynamics at large scales. In a first study we developed a new X-VOD indice from inversion of the X-MEB
Externí odkaz:
https://doaj.org/article/a4b01c591b4247a499be4f32239993ea
Autor:
Zixuan Hu, Linna Chai, Wade T. Crow, Shaomin Liu, Zhongli Zhu, Ji Zhou, Yuquan Qu, Jin Liu, Shiqi Yang, Zheng Lu
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3063 (2022)
Soil moisture (SM) is an important land-surface parameter. Although microwave remote sensing is recognized as one of the most appropriate methods for retrieving SM, such retrievals often cannot meet the requirements of specific applications because o
Externí odkaz:
https://doaj.org/article/f3d47f3a4a644c2c8ea22401556896d5
Autor:
Lingmei Jiang, Jian Wang, Huizhen Cui, Gongxue Wang, Tianjie Zhao, Shaojie Zhao, Linna Chai, Xiaojing Liu, Jianwei Yang
Publikováno v:
Data in Brief, Vol 31, Iss , Pp 105693- (2020)
The dataset presented in this article is related to the work “Evaluation and Analysis of SMAP, AMSR2, and MEaSUREs Freeze/Thaw Products in China [1]”. Soil moisture and temperature are important variables of land-atmosphere energy exchange, monit
Externí odkaz:
https://doaj.org/article/b94dcdf3346f4e3b9d90e1de54961dad
Autor:
Huaize Feng, Tongren Xu, Liangyun Liu, Sha Zhou, Jingxue Zhao, Shaomin Liu, Ziwei Xu, Kebiao Mao, Xinlei He, Zhongli Zhu, Linna Chai
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 804 (2021)
Successfully applied in the carbon research area, sun-induced chlorophyll fluorescence (SIF) has raised the interest of researchers from the water research domain. However, current works focused on the empirical relationship between SIF and plant tra
Externí odkaz:
https://doaj.org/article/eb264dc8769d4244843d3a3a86ca27b8
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10878-10897 (2015)
The Soil Moisture and Ocean Salinity (SMOS) mission was initiated in 2009 with the goal of acquiring global soil moisture data over land using multi-angular L-band radiometric measurements. Specifically, surface soil moisture was estimated using the
Externí odkaz:
https://doaj.org/article/f4c8b5eb7acd4dac91d64937c212fc31
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10543-10561 (2015)
In this study, an algorithm to retrieve the gravimetric vegetation water content (GVWC, %) of corn was developed. First, the method for obtaining the optical depth from L-band (1.4 GHz) bi-angular, dual-polarized brightness temperatures (TB) for shor
Externí odkaz:
https://doaj.org/article/79c583616bab4c11a902f3b167a785e4