Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Bingze, Li"'
Autor:
Zhuo Wu, Xingming Zheng, Yanling Ding, Zui Tao, Yuan Sun, Bingze Li, Xinmeng Chen, Jianing Zhao, Yirui Liu, Xinyu Chen, Xinbiao Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15671-15684 (2024)
Fractional vegetation cover (FVC) is an essential parameter of vegetation canopy. Understanding its dynamics is vital for agricultural monitoring and climate change response. The physically based method for retrieving FVC from remote sensing data has
Externí odkaz:
https://doaj.org/article/70c9a3fe69844e84ba6e6f4295a1957f
Autor:
Ranzhe Jiang, Yuanyuan Sui, Xin Zhang, Nan Lin, Xingming Zheng, Bingze Li, Lei Zhang, Xiaokai Li, Haiye Yu
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116874- (2024)
Soil organic carbon (SOC) is important in the global carbon cycle. Accurate estimation of SOC content in cultivated land is a prerequisite for evaluating the carbon sequestration potential and quality of soils. However, existing SOC prediction studie
Externí odkaz:
https://doaj.org/article/1e8257c845b54e26a2bc92b594993205
Autor:
Chunmei Wang, Xingfa Gu, Xiang Zhou, Jian Yang, Tao Yu, Zui Tao, Hailiang Gao, Qiyue Liu, Yulin Zhan, Xiangqin Wei, Juan Li, Lili Zhang, Lei Li, Bingze Li, Zhuangzhuang Feng, Xigang Wang, Ruoxi Fu, Xingming Zheng, Chunnuan Wang, Yuan Sun, Bin Li, Wen Dong
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract High-quality ground observation networks are an important basis for scientific research. Here, an automatic soil observation network for high-resolution satellite applications in China (SONTE-China) was established to measure both pixel- and
Externí odkaz:
https://doaj.org/article/df8302eb1a604aa5956a0122bb8c2c5d
Autor:
Chunmei Wang, Xingfa Gu, Xiang Zhou, Jian Yang, Tao Yu, Zui Tao, Hailiang Gao, Qiyue Liu, Yulin Zhan, Xiangqin Wei, Juan Li, Lili Zhang, Lei Li, Bingze Li, Zhuangzhuang Feng, Xigang Wang, Ruoxi Fu, Xingming Zheng, Chunnuan Wang, Yuan Sun, Bin Li, Wen Dong
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/f1ef00bb16e24e03934d649865534958
Autor:
Xingming, Zheng, Lei, Li, Chunmei, Wang, Leran, Han, Tao, Jiang, Xiaojie, Li, Xiaofeng, Li, Fengrui, Liu, Bingze, Li, Zhuangzhuang, Feng
Publikováno v:
In Geoderma 15 December 2021 404
Autor:
Xingming Zheng, Zhuangzhuang Feng, Hongxin Xu, Yanlong Sun, Yu Bai, Bingze Li, Lei Li, Xiaowei Zhao, Rui Zhang, Tao Jiang, Xiaojie Li, Xiaofeng Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2451-2460 (2020)
Passive microwave remote sensing is an effective way to obtain global soil moisture (SM) measurements, and many studies have explored the uncertainty inherent in microwave-based SM products. However, SM product accuracy has not been evaluated in nort
Externí odkaz:
https://doaj.org/article/be2bb7f456634cf6954d62223d0310fb
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3017 (2022)
The accurate monitoring of crop parameters is important for crop yield prediction and canopy parameter inversion from remote sensing. Process-based and semi-empirical crop models are the main approaches to modeling the temporal changes in crop parame
Externí odkaz:
https://doaj.org/article/96dac412737c4c32ac31e04d9b754b47
Autor:
Zhuangzhuang Feng, Xingming Zheng, Lei Li, Bingze Li, Si Chen, Tianhao Guo, Xigang Wang, Tao Jiang, Xiaojie Li, Xiaofeng Li
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2856 (2021)
Wide mode SAR images have an apparent incidence angle effect. The existing incident angle normalization methods assume that the relationship between the incident angle (θ) and the backscattering coefficient (σPQ) does not change with the growth sta
Externí odkaz:
https://doaj.org/article/df76e51a1ce447dea2e2201af38fc271
Autor:
Xingming Zheng, Zhuangzhuang Feng, Hongxin Xu, Yanlong Sun, Lei Li, Bingze Li, Tao Jiang, Xiaojie Li, Xiaofeng Li
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1303 (2020)
The launch of the SMOS (Soil Moisture and Ocean Salinity) and SMAP (Soil Moisture Active Passive) satellites has led to the development of a series of L-band soil moisture retrieval algorithms. In these algorithms, many input parameters (such as leaf
Externí odkaz:
https://doaj.org/article/402b8667bef142f4b62a623470f84b04
Publikováno v:
Icarus. :115464