Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Quanjun Jiao"'
Autor:
Anting Guo, Wenjiang Huang, Binxiang Qian, Huichun Ye, Quanjun Jiao, Xiangzhe Cheng, Chao Ruan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104076- (2024)
Chlorophyll is both a cornerstone of plant photosynthesis and an important indicator for assessing crop growth and health. Although many previous studies have explored the use of remote sensing to retrieve chlorophyll content, there is room for impro
Externí odkaz:
https://doaj.org/article/1abf620d1559469aa0d29125b61ff0ed
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2264 (2023)
The canopy chlorophyll content (CCC) and leaf area index (LAI) are both essential indicators for crop growth monitoring and yield estimation. The PROSAIL model, which couples the properties optique spectrales des feuilles (PROSPECT) and scattering by
Externí odkaz:
https://doaj.org/article/99253262ff984d438a44c3ca1dc55297
Autor:
Anting Guo, Huichun Ye, Guoqing Li, Bing Zhang, Wenjiang Huang, Quanjun Jiao, Binxiang Qian, Peilei Luo
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1784 (2023)
Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large-area, and real-time method that requires reliable retrieval mode
Externí odkaz:
https://doaj.org/article/edc7b905367d4c9193ca411c7b534fa5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5515-5528 (2021)
The accurate retrieval of canopy chlorophyll content (CCC) is essential to the effective monitoring of forest productivity, and environmental stress. However, the clumping index (CI), a vital canopy structural parameter, affects inaccurate remote sen
Externí odkaz:
https://doaj.org/article/e2eedd48723e4112a00a79b9f053ceab
Autor:
Peilei Luo, Huichun Ye, Wenjiang Huang, Jingjuan Liao, Quanjun Jiao, Anting Guo, Binxiang Qian
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5624 (2022)
Accurate estimation of the maize leaf area index (LAI) and biomass is of great importance in guiding field management and early yield estimation. Physical models and traditional machine learning methods are commonly used for LAI and biomass estimatio
Externí odkaz:
https://doaj.org/article/f62d8ad38cc848e6997dd8df475bad0c
Autor:
Yu Ren, Wenjiang Huang, Huichun Ye, Xianfeng Zhou, Huiqin Ma, Yingying Dong, Yue Shi, Yun Geng, Yanru Huang, Quanjun Jiao, Qiaoyun Xie
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102384- (2021)
Yellow rust, caused by Puccinia striiformis f. sp. Tritici, is a serious disease attacking wheat (Triticum aestivum L.) across the globe. The occurrence of yellow rust can result in severe yield reduction and economic loss. Hyperspectral remote sensi
Externí odkaz:
https://doaj.org/article/a6921cad07994cf0b25fa04ecdebbe30
Autor:
Quanjun Jiao, Qi Sun, Bing Zhang, Wenjiang Huang, Huichun Ye, Zhaoming Zhang, Xiao Zhang, Binxiang Qian
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 98 (2021)
Canopy chlorophyll content (CCC) is an important indicator for crop-growth monitoring and crop productivity estimation. The hybrid method, involving the PROSAIL radiative transfer model and machine learning algorithms, has been widely applied for cro
Externí odkaz:
https://doaj.org/article/690c3634a82f40aca0dddcfb145f1b9b
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 470 (2021)
Estimates of crop canopy chlorophyll content (CCC) can be used to monitor vegetation productivity, manage crop resources, and control disease and pests. However, making these estimates using conventional ground-based methods is time-consuming and res
Externí odkaz:
https://doaj.org/article/0d002e7f50ed4d59a473a36ece1c447f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 3, Iss 1, Pp 368-390 (2014)
On 12 May 2008, the 8.0-magnitude Wenchuan earthquake occurred in Sichuan Province, China, triggering thousands of landslides, debris flows, and barrier lakes, leading to a substantial loss of life and damage to the local environment and infrastructu
Externí odkaz:
https://doaj.org/article/04b81087899e4995856fbc624ab3e556
Publikováno v:
Remote Sensing, Vol 5, Iss 1, Pp 274-281 (2013)
The fraction of absorbed photosynthetically active radiation (FPAR) is a key parameter in describing the exchange of fluxes of energy, mass and momentum between the surface and atmosphere. In this study, we present a method to measure FPAR using a di
Externí odkaz:
https://doaj.org/article/97c26d9cfa054b3780262ee8bca7b974