Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Cangjiao WANG"'
Autor:
Duo Jia, Cangjiao Wang, Christopher R. Hakkenberg, Izaya Numata, Andrew J. Elmore, Mark A. Cochrane
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe Global Ecosystem Dynamics Investigation (GEDI) is expected to revolutionize the quantification of aboveground carbon at continental scales, through its unprecedented dense vertical observations of vegetation structure. As its primary task
Externí odkaz:
https://doaj.org/article/f2eed9032a5f476eb4d29dc55f8f9c0d
Publikováno v:
Meitan xuebao, Vol 48, Iss 6, Pp 2550-2563 (2023)
The identification of ecological threshold is one of the important technical links in the vegetation guided restoration in arid mining areas, and the aridity threshold is a very important one among many key ecological thresholds. There will be sudden
Externí odkaz:
https://doaj.org/article/a32ab6d545bd40a28c57272927a8be2b
Autor:
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, Mark A. Cochrane, Lei Shaogang, Jiu Huang, Yibo Zhao, Yuanyuan Li
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 975-999 (2022)
The Global Ecosystem Dynamics Investigation (GEDI), a new spaceborne LiDAR system of the National Aeronautics and Space Administration (NASA), has the potential to revolutionize global measurements of vertical vegetation structure. However, GEDI perf
Externí odkaz:
https://doaj.org/article/58bcaf4ed92244bda6de225b4c758eec
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1535 (2023)
The leaf area index (LAI) is a vital parameter for quantifying the material and energy exchange between terrestrial ecosystems and the atmosphere. The Global Ecosystem Dynamics Investigation (GEDI), with its mission to produce a near-global map of fo
Externí odkaz:
https://doaj.org/article/c6b5820ac18d455aa484dff72893708b
Autor:
Yibo Zhao, Shaogang Lei, Guoqing Zhu, Yunxi Shi, Cangjiao Wang, Yuanyuan Li, Zhaorui Su, Weizhong Wang
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1201 (2023)
As one of the most important greenhouse gases, water vapor plays a vital role in various weather and climate processes. In recent years, a near-infrared ratio technique based on satellite images has become a research hotspot in the field of precipita
Externí odkaz:
https://doaj.org/article/f11cdb731138450b986ad9c66982c1bb
Autor:
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, Mark A. Cochrane, Shaogang Lei, Christopher R. Hakkenberg, Yuanyuan Li, Yibo Zhao, Yu Tian
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3618 (2022)
Spatially continuous canopy height is a vital input for modeling forest structures and functioning. The global ecosystem dynamics investigation (GEDI) waveform can penetrate a canopy to precisely find the ground and measure canopy height, but it is s
Externí odkaz:
https://doaj.org/article/f67292c037514d98a314f2f365f0312a
Publikováno v:
Environmental Research Letters, Vol 17, Iss 9, p 094024 (2022)
The expansion of plantations, such as oil palm, in Indonesia has caused large-scale deforestation. Loss of tropical forest, in particular peatland forest, is a major ecological and environmental threat as well as a source of atmospheric carbon emissi
Externí odkaz:
https://doaj.org/article/dc6b41ea1bcf482a8a5710a3b781e0a4
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 11, p 665 (2020)
Spatio-temporal fusion algorithms dramatically enhance the application of the Landsat time series. However, each spatio-temporal fusion algorithm has its pros and cons of heterogeneous land cover performance, the minimal number of input image pairs,
Externí odkaz:
https://doaj.org/article/8f913e00d0e641cc9dba8e9f61966e81
Autor:
Yibo Zhao, Shaogang Lei, Xingchen Yang, Chuangang Gong, Cangjiao Wang, Wei Cheng, Heng Li, Changchao She
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2019 (2020)
Accurate monitoring of plant dust retention can provide a basis for dust pollution control and environmental protection. The aims of this study were to analyze the spectral response features of grassland plants to mining dust and to predict the spati
Externí odkaz:
https://doaj.org/article/d7255be5192f40a2a5ce950ea0360938
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 301 (2019)
Simultaneously considering the spatial and temporal processes is essential for land cover simulation models. A cellular automaton (CA) usually simulates the spatial conversion of land cover through post-classification comparisons between the beginnin
Externí odkaz:
https://doaj.org/article/406c705aed754d32a0f947c2a1cf1f61