Zobrazeno 1 - 10
of 354
pro vyhledávání: '"Qingyan Meng"'
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112578- (2024)
Agricultural non-point source pollution threatens the quality of the ecological environment, human health, and safety. This study took the Sixth Drainage Ditch of the Yellow River Irrigation Area in Ningxia as the research area, set up a runoff water
Externí odkaz:
https://doaj.org/article/0c5e2932f53d4663a8432603eec32d9a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104067- (2024)
It is crucial to clarify the nonlinear effects of urban multidimensional characteristics on land surface temperature (LST). However, the combined consideration of the urban green space (UGS), water bodies, buildings, and socio-economic factors is lim
Externí odkaz:
https://doaj.org/article/f43d7e6702ee4d16a3e1d7261a10e010
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Urban functional zones (UFZs) serve as the spatial carriers embodying urban economic and social activities, thus making the accurate mapping of UFZs imperative for urban planning, management, and sustainable development. Traditional remote sensing-ba
Externí odkaz:
https://doaj.org/article/fe382fa5d1454996844260cb377ccc7f
Autor:
Qingyan Meng, Linlin Zhang, Xuemiao Wang, Xinli Hu, Mona Allam, Jiahao Wu, Ming Yan, Junnan Qi, Weifeng Zhai
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTUrban Green Space (UGS) plays a crucial socio-cultural role in improving the quality of life. Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban resident
Externí odkaz:
https://doaj.org/article/b36ed278b9344a029c5ff3bf453fdf76
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103900- (2024)
Land surface temperature (LST) captures fundamental information on the spatiotemporal variation of energy balance at the surface. The trade-off between spatial and temporal resolutions of remote sensing images (retrieved LSTs), however, restricts fin
Externí odkaz:
https://doaj.org/article/0533bb922bdb449bbd13af569fbcd7a3
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103798- (2024)
Accurate extraction of three-dimensional (3D) vegetation is essential for monitoring urban ecological environments and carbon sinks. Two-dimensional vegetation data in cities has been widely researched. However, large-scale urban vegetation height in
Externí odkaz:
https://doaj.org/article/dbd8b1f2fb3c475d8715d8a83d63ea04
Autor:
Dingding Duan, Xinru Li, Yanghua Liu, Qingyan Meng, Chengming Li, Guotian Lin, Linlin Guo, Peng Guo, Tingting Tang, Huan Su, Weifeng Ma, Shikang Ming, Yadong Yang
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3427 (2024)
Scientific evaluation of cultivated land quality (CLQ) is necessary for promoting rational utilization of cultivated land and achieving one of the Sustainable Development Goals (SDGs): Zero Hunger. However, the CLQ evaluation system proposed in previ
Externí odkaz:
https://doaj.org/article/0501be1ffdfc42259edb03573d087586
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103696- (2024)
Urban scene understanding and functional identification are essential for accurately characterizing the spatial structure and optimizing the city layouts during rapid urbanization. Multimodal data is important for recognizing the distribution pattern
Externí odkaz:
https://doaj.org/article/469eee0a19f24930b08c31fe6092788d
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1643-1659 (2022)
Local landscape patterns in cities can substantially alter surrounding land surface temperature (LST) and affect the surface urban heat island effect. Previous studies have confirmed that some urban functional areas produce pronounced local heat/cold
Externí odkaz:
https://doaj.org/article/bdc204b1431740cb992fdd5a97d43ccf
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5211 (2023)
Spatiotemporal fusion technology effectively improves the spatial and temporal resolution of remote sensing data by fusing data from different sources. Based on the strong time-series correlation of pixels at different scales (average Pearson correla
Externí odkaz:
https://doaj.org/article/4769603c585d4b3cb04df5f225d585ca