Zobrazeno 1 - 10
of 313
pro vyhledávání: '"solar-induced chlorophyll fluorescence (sif)"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIn the context of climate variability, rapid and accurate estimation of winter wheat yield is essential for agricultural policymaking and food security. With advancements in remote sensing technology and deep learning, methods utilizing r
Externí odkaz:
https://doaj.org/article/a14050ba9ebb4904a59b4e112f39f63a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104240- (2024)
Recently the applications of remotely sensed Solar-Induced chlorophyll Fluorescence (SIF) in the study of photosynthesis, stress conditions, and gross primary production have increased significantly. The full SIF spectrum spans over a spectral region
Externí odkaz:
https://doaj.org/article/fb371b7ee6634cb28eb3098314947f2a
Autor:
Li, Tingyu a, b, Wang, Shaoqiang a, b, c, ⁎, Deng, Zhuoying a, b, Chen, Jinghua c, Chen, Bin c, Liang, Zhewei a, Chen, Xuan a, b, Jiang, Yunhao a, b, Gu, Peng a, b, Sun, Leigang d
Publikováno v:
In Science of the Total Environment 10 January 2025 959
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112406- (2024)
Monitoring vegetation photosynthesis in China’s subtropical regions using remote sensing is challenging because of the complex ecosystems and climate variability. Previous studies often pay less attention on the influence of multiple climatic facto
Externí odkaz:
https://doaj.org/article/ebc064293418469abeaf4d66debae030
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13413-13425 (2024)
Solar-induced chlorophyll fluorescence (SIF) provides a valuable tool for gross primary production (GPP) monitoring. However, the spatial resolution of satellite SIF products is lower than the kilometer level, which hinders their potential for carbon
Externí odkaz:
https://doaj.org/article/834eeb5fded14294a5440a33a2e6c2d2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6379-6393 (2024)
Satellite-based solar-induced chlorophyll fluorescence (SIF) has emerged as a valuable tool for monitoring the photosynthetic activity of vegetation at both regional and global scales. Downscaling techniques offer the opportunity to utilize coarse-sp
Externí odkaz:
https://doaj.org/article/61472f56033c4894a3390a0205b7cf1f
Autor:
Wei Liu, Yu Wang, Ali Mamtimin, Yongqiang Liu, Jiacheng Gao, Meiqi Song, Ailiyaer Aihaiti, Cong Wen, Fan Yang, Wen Huo, Chenglong Zhou, Jian Peng, Hajigul Sayit
Publikováno v:
Land, Vol 13, Iss 8, p 1222 (2024)
Coupling solar-induced chlorophyll fluorescence (SIF) with gross primary productivity (GPP) for ecological function integration research presents numerous uncertainties, especially in ecologically fragile and climate-sensitive arid regions. Therefore
Externí odkaz:
https://doaj.org/article/3d0fb3b0b7df45c4b7a8347041512e75
Autor:
CHENG Yuxin, XUE Bowen, KONG Yuanyuan, YAO Dongliang, TIAN Long, WANG Xue, YAO Xia, ZHU Yan, CAO Weixing, CHENG Tao
Publikováno v:
智慧农业, Vol 5, Iss 3, Pp 35-48 (2023)
ObjectiveRice blast is considered as the most destructive disease that threatens global rice production and causes severe economic losses worldwide. The detection of rice blast in an early manner plays an important role in resistance breeding and pla
Externí odkaz:
https://doaj.org/article/ef097e00791c410898a2621d00646116
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 886 (2024)
Flash droughts adversely affect agriculture and ecosystems due to their rapid depletion of soil moisture (SM). However, few studies assessed the impacts of flash droughts on crops, especially in the agricultural regions of southern China. In this stu
Externí odkaz:
https://doaj.org/article/fb330b2663624ef9b80cac948fd7ff77
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1916 (2024)
Light detection and ranging (LiDAR) offers high-precision, 3D information, and the ability to rapidly acquire data, giving it a significant advantage in timely resource monitoring. Currently, LiDAR is widely utilized in land-cover classification task
Externí odkaz:
https://doaj.org/article/604dbc9523594929b16a399cc70217aa