Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Weidong Man"'
Publikováno v:
Forests, Vol 15, Iss 9, p 1522 (2024)
Forest fragmentation and urban shrinkage have become the focus of attention in global ecological conservation, with the goal of achieving sustainable development. However, few studies have been concerned with urban forest patterns in shrinking cities
Externí odkaz:
https://doaj.org/article/d9a09577a967470f9833b8fb2988a055
Publikováno v:
Forests, Vol 15, Iss 1, p 44 (2023)
Dramatic forest dynamics strongly influence pressure mitigation from the increasing population and climate changes of an urban landscape. Effectively monitoring landscapes in a spatiotemporally consistent manner, satellite remote sensing has emerged
Externí odkaz:
https://doaj.org/article/a31a5a80e25347ff91a64d66a69bb584
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5608 (2023)
Accurate building extraction holds paramount importance in various applications such as urbanization rate calculations, urban planning, and resource allocation. In response to the escalating demand for precise low-altitude unmanned aerial vehicle (UA
Externí odkaz:
https://doaj.org/article/ce8ecd229410427e95eb5f9e0ca1e182
Autor:
Hua Fang, Weidong Man, Mingyue Liu, Yongbin Zhang, Xingtong Chen, Xiang Li, Jiannan He, Di Tian
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4465 (2023)
The leaf area index (LAI) is an essential biophysical parameter for describing the vegetation canopy structure and predicting its growth and productivity. Using unmanned aerial vehicle (UAV) hyperspectral imagery to accurately estimate the LAI is of
Externí odkaz:
https://doaj.org/article/489b705870e24e11a09a065e1fecfcef
Autor:
Yongbin Zhang, Caiyao Kou, Mingyue Liu, Weidong Man, Fuping Li, Chunyan Lu, Jingru Song, Tanglei Song, Qingwen Zhang, Xiang Li, Di Tian
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4241 (2023)
Coastal wetland soil organic carbon (CW-SOC) is crucial for wetland ecosystem conservation and carbon cycling. The accurate prediction of CW-SOC content is significant for soil carbon sequestration. This study, which employed three machine learning (
Externí odkaz:
https://doaj.org/article/7c4ea55a5df74e1a8e05b27de393dbb0
Autor:
Qingwen Zhang, Mingyue Liu, Yongbin Zhang, Dehua Mao, Fuping Li, Fenghua Wu, Jingru Song, Xiang Li, Caiyao Kou, Chunjing Li, Weidong Man
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2907 (2023)
Soil total nitrogen (STN) is a crucial component of the ecosystem’s nitrogen pool, and accurate prediction of STN content is essential for understanding global nitrogen cycling processes. This study utilized the measured STN content of 126 sample p
Externí odkaz:
https://doaj.org/article/bf8d74e6fc164958a2d826f85175030a
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2625 (2023)
Aboveground biomass (AGB) mapping using spaceborne LiDAR data and multi-sensor images is essential for efficient carbon monitoring and climate change mitigation actions in heterogeneous forests. The optimal predictors of remote sensing-based AGB vary
Externí odkaz:
https://doaj.org/article/feca9ebfac7f4c0fa4c731d5f7cc152e
Autor:
Jingru Song, Junhai Gao, Yongbin Zhang, Fuping Li, Weidong Man, Mingyue Liu, Jinhua Wang, Mengqian Li, Hao Zheng, Xiaowu Yang, Chunjing Li
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4372 (2022)
Coastal wetland soil organic carbon (CW-SOC) is crucial for both “blue carbon” and carbon sequestration. It is of great significance to understand the content of soil organic carbon (SOC) in soil resource management. A total of 133 soil samples w
Externí odkaz:
https://doaj.org/article/add8f2286998482384c78eb7bd676b47
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 100, Iss , Pp 102326- (2021)
Forest stand volume is a vital indicator of productivity and carbon storage. Conventionally, stand volume is estimated from field samples, Synthetic Aperture Radar (SAR), and optical imagery, which suffer saturation problems. Although Light Detection
Externí odkaz:
https://doaj.org/article/3daddcce613342e4bf6504f0fc7f4f09
Publikováno v:
Ecological Indicators, Vol 127, Iss , Pp 107641- (2021)
Large-scale Ecosystem Restoration Projects (ESPs) have been launched to restore vegetation and increase carbon stocks across China. Whether these ESPs could mitigate the loss of carbon emission due to vegetation degradation caused by human disturbanc
Externí odkaz:
https://doaj.org/article/06a50d0aa74f42c3bb226cd5a50f1dff