Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Danlu Cai"'
Autor:
Siyi Huang, Lijun Yu, Danlu Cai, Jianfeng Zhu, Ze Liu, Zongke Zhang, Yueping Nie, Klaus Fraedrich
Publikováno v:
Ecological Indicators, Vol 148, Iss , Pp 110046- (2023)
Urbanization induced changes have attracted widespread attention. Key challenges arise from the inherent uncertainties in attribution models diagnosing the driving mechanisms and the interrelationships of the attributes given by the complexity of int
Externí odkaz:
https://doaj.org/article/bdc7abc777124c9ca7451ab48f2d1a7f
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4931 (2023)
Present approaches in PV (Photovoltaic) detection are known to be scalable to a larger area using machine learning classification and have improved accuracy on a regional scale with deep learning diagnostics. However, it may cause false detection, ti
Externí odkaz:
https://doaj.org/article/3f438bbff1f546a88d994c99f0614109
Publikováno v:
Land, Vol 12, Iss 4, p 817 (2023)
A two-step attribution and causality diagnostic is designed by employing singular spectrum analysis to unfold the attributed climate time series into a trajectory matrix and then subjected to an empirical orthogonal function analysis to identify the
Externí odkaz:
https://doaj.org/article/080175c987884ea1b68bd68e4df48e24
Autor:
Rui Deng, Yanning Guan, Danlu Cai, Tao Yang, Klaus Fraedrich, Chunyan Zhang, Jiakui Tang, Zhouwei Liao, Zhishou Wei, Shan Guo
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 341 (2023)
To characterize a community-scale urban functional area using geo-tagged data and available land-use information, several supervised and semi-supervised models are presented and evaluated in Hong Kong for comparing their uncertainty, robustness and s
Externí odkaz:
https://doaj.org/article/a8c99370f50f4b2cae5ff0c5c7dcddca
Publikováno v:
Ecological Indicators, Vol 133, Iss , Pp 108417- (2021)
Energy availability at trophic and hydrologic level dominates species richness gradients by constraining food resources, and regulating population sizes and extinction rates. Remote sensing datasets have mapped vegetation productivities as a proxy fo
Externí odkaz:
https://doaj.org/article/c6b5026381d940d39180eac26bd6a0e5
Autor:
Min Yu, Shan Guo, Yanning Guan, Danlu Cai, Chunyan Zhang, Klaus Fraedrich, Zhouwei Liao, Xiaoxin Zhang, Zhuangzhuang Tian
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1235 (2021)
The long-term changes of the relationship between nighttime light and urbanization related built-up areas are explored using nighttime light data obtained from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS, data b
Externí odkaz:
https://doaj.org/article/0f391931fe20402f9353841d6a7aa944
Publikováno v:
Sensors, Vol 21, Iss 1, p 315 (2021)
The Loess Plateau, covering approximately 640,000 km2, has experienced the most severe soil erosion in the world. A greening tendency has been noticed since implementing the Grain to Green Program (GTGP), which may prevent further soil erosion. There
Externí odkaz:
https://doaj.org/article/304df7c0a2a646fab343ef9b0fad3b53
Publikováno v:
Remote Sensing, Vol 6, Iss 4, Pp 3511-3532 (2014)
Research on global climate change requires plant functional type (PFT) products. Although several PFT mapping procedures for remote sensing imagery are being used, none of them appears to be specifically designed to map and evaluate PFTs over broad m
Externí odkaz:
https://doaj.org/article/1a61a5095a524a4ca5bd395ddec066f4
Publikováno v:
Sensors, Vol 19, Iss 21, p 4693 (2019)
Linking remote sensing information and ecohydrological models to improve understanding of terrestrial biosphere responses to climate and land use change has become the subject of increased interest due to the impacts of current global changes and the
Externí odkaz:
https://doaj.org/article/73d9eb6c994f4802af6231d07b4e709b
Autor:
Danlu Cai, Klaus Fraedrich, Yanning Guan, Shan Guo, Chunyan Zhang, Leila M.V. Carvalho, Xiuhua Zhu
Publikováno v:
Sensors, Vol 19, Iss 20, p 4499 (2019)
Essential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the h
Externí odkaz:
https://doaj.org/article/308417c89b224751b61e0870734a31c6