Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Zhongchang Sun"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Cloud contamination impedes timely and accurate urban monitoring via optical remote sensing in numerous emergent cloudy situations, such as rainstorms and flood responses. Synthetic aperture radar (SAR) offers advantages because of its all-weather ca
Externí odkaz:
https://doaj.org/article/f33ff10193d84e51b21b5af75d3c264c
Autor:
Sijia Li, Zhongchang Sun, Huadong Guo, Xiaoying Ouyang, Zongqiang Liu, Huiping Jiang, Hongwei Li
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTDue to the Sustainable Development Goals (SDGs) being designed at both national and globally applicable level, it is challenging to adequately reflect the local context and characteristics in different urban regions without fully utilizing bi
Externí odkaz:
https://doaj.org/article/cc11cfc7919f432691f1f37fad1f0b9c
Autor:
Lei Huang, Jie Liu, Zhongchang Sun, Xiaosong Li, Natarajan Ishwaran, Shanlong Lu, Zhenci Xu, Lijun Zuo, Futao Wang, Qunli Han, Lei Luo, Meng Wang, Yaxi Chen, Yu Chen, Huadong Guo
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTIn the past decades, the environment has changed drastically in China with rapid economic development. Lack of data, especially data with spatiotemporal information, has however hindered evaluating progress of environmental indicators in the
Externí odkaz:
https://doaj.org/article/09c403491d874afaabc570c2ff8b725a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17945-17956 (2024)
The area of impervious surfaces serves as a critical metric to gauge urbanization levels and evaluates ecological health in a given region. However, in some areas with low-density impervious surfaces, these impervious surfaces are often small in size
Externí odkaz:
https://doaj.org/article/1e6880f88d5b43f88c4427ff6d7584da
Autor:
Zhe Chen, Yuan Liang, Zhengbo Yu, Ke Xu, Qingyun Ji, Xueqi Zhang, Quanping Zhang, Zijia Cui, Ziqiong He, Ruichun Chang, Zhongchang Sun, Keyan Xiao, Huadong Guo
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3882-3904 (2023)
Remote sensing and deep learning are being widely combined in tasks such as urban planning and disaster prevention. However, due to interference occasioned by density, overlap, and coverage, the tiny object detection in remote sensing images has alwa
Externí odkaz:
https://doaj.org/article/1d36b1364e3c44bfb892403168220d8c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103812- (2024)
High-resolution spatial distribution maps of GDP are essential for accurately analyzing economic development, industrial layout, and urbanization processes. However, the currently accessible GDP gridded datasets are limited in number and resolution.
Externí odkaz:
https://doaj.org/article/900e589be9a94deba0f1e765fe8b2a10
Autor:
Min Cao, Min Chen, Junze Zhang, Prajal Pradhan, Huadong Guo, Bojie Fu, Yue Li, Yuying Bai, Lijiao Chang, Yu Chen, Zhongchang Sun, Zhenci Xu, Rui Zhu, Michael E. Meadows, Guonian Lü
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset
Externí odkaz:
https://doaj.org/article/9714f99a6f8443b394807e69a2ce1cda
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1344-1366 (2022)
Recent developments in deep learning (DL) techniques have provided a series of new methods for land cover classification. However, most DL-based methods do not consider the rich spatial association of land cover classes embedded in remote sensing ima
Externí odkaz:
https://doaj.org/article/4af8089de47140498f1af88220823fd9
Autor:
Haowei Mu, Xuecao Li, Yuyu Zhou, Peng Gong, Jianxi Huang, Xiaoping Du, Jingchen Guo, Wenting Cao, Zhongchang Sun, Chen Xu, Donglie Liu
Publikováno v:
All Earth, Vol 34, Iss 1, Pp 167-178 (2022)
Although several products of the global urban extent with fine resolutions (e.g. 30 m-38 m) have been developed, quantitative evaluations of these products across spaces and times are still missing, which is crucial to future urban growth modeling. H
Externí odkaz:
https://doaj.org/article/098e42961550485a902f4ffdd4e801a6
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4722 (2023)
Quantifying the progress and interactions of the 11 indicators of Sustainable Development Goal 11 plays a crucial role in improving urban living and promoting urban prosperity. SDG 11, focused on sustainable cities and communities, employs forward-th
Externí odkaz:
https://doaj.org/article/4231c632b72f45cbbe0187063a3fd76f