Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Nengcheng Chen"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104075- (2024)
Accurate detection of changes in buildings is crucial for the understanding of urban development. The growing accessibility of remote sensing imagery has enabled urban scale change detection (CD) in both 2D and 3D. However, existing methods have not
Externí odkaz:
https://doaj.org/article/ac4c4cf74a4b4058a628737d66ad45e0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3425-3437 (2024)
Accurate prediction of vegetation indices is useful for helping maintain vegetation stability, sustaining food production, and reducing socioeconomic losses. The traditional convolutional long short-term memory (ConvLSTM) model for vegetation predict
Externí odkaz:
https://doaj.org/article/d9cd114c4cd34460b946d1579986be56
Publikováno v:
Land, Vol 13, Iss 9, p 1433 (2024)
In recent years, China’s urbanization has accelerated, significantly impacting ecosystems and the carbon balance due to changes in urban land use. The spatial patterns of CO2 emissions from urban land are essential for devising strategies to mitiga
Externí odkaz:
https://doaj.org/article/2e21c6ad536e4a2b9257b3d958ebcafc
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 52, Iss , Pp 101715- (2024)
Study region: Poyang Lake and East Dongting Lake, China. Study focus: On the basis of data on the extent of the inundation of water bodies, the water level, and DEM data, this study constructed an hourly flood inundation dataset (PDFID) for the East
Externí odkaz:
https://doaj.org/article/d3cb6a644c364adea1186ada29430c79
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101647- (2024)
Study region: Yangtze River Economic Belt, China Study focus: As the major national strategic development area of China, there have always been vital problems about imbalance of the water resources distribution and the disparity of economic levels in
Externí odkaz:
https://doaj.org/article/dfc57bd8f0bc435aab952d8cf62c1b9c
Autor:
Wenying Du, Qingyun Xia, Bingqing Cheng, Lei Xu, Zeqiang Chen, Xiang Zhang, Min Huang, Nengcheng Chen
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2734 (2024)
Frequent flooding seriously affects people’s safety and economic construction, and assessing the inundation probability can help to strengthen the capacity of emergency management of floods. There are currently two general means of flood sensing: p
Externí odkaz:
https://doaj.org/article/a6aee05d51734665aa3cef535211d14d
Autor:
Yunbo Zhang, Jie Li, Mu Duan, Wenjie Chen, Joaquin del Rio, Xiang Zhang, Ke Wang, Steve H.L. Liang, Zeqiang Chen, Nengcheng Chen, Chuli Hu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103601- (2023)
Significant advancements in Earth Observation (EO) technologies, encompassing global remote sensing and environment sensor networks, have greatly progressed the field of earth science. The management of EO sensors is crucial in collecting effective a
Externí odkaz:
https://doaj.org/article/8aee1f03573243de969c694046ee8048
Balancing Flood Control and Economic Development in Flood Detention Areas of the Yangtze River Basin
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 4, p 122 (2024)
Serving as a crucial part of the Yangtze River Basin (YRB)’s flood control system, Flood Detention Areas (FDAs) are vital in mitigating large-scale floods. Urbanization has led to the development of urban FDAs, but significant losses could ensue if
Externí odkaz:
https://doaj.org/article/4c13579e40d143cd95f8c2fac42cedef
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103458- (2023)
The street view image (SVI) and the point of interest (POI) are data sources with different modalities and representing different urban environments, respectively. These two types of data may not fully cover a city. Inferring from one type of data to
Externí odkaz:
https://doaj.org/article/3ef4b510d6f74e1b8822b7e786b983af
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7572-7584 (2023)
The 2019 coronavirus disease pandemic, called COVID-19, poses a novel research point for water body. Based upon the extracted 199 large lakes and reservoirs across China, this study developed the water color parameters, namely Forel–Ule index (FUI)
Externí odkaz:
https://doaj.org/article/22c97199d429480c88dde6bb132a12af