Zobrazeno 1 - 10
of 136
pro vyhledávání: '"GF-1 WFV"'
Publikováno v:
IEEE Access, Vol 12, Pp 24791-24802 (2024)
Chlorophyll-a is an important parameter that is used to measure the water quality, and its concentrations indicate the degree of eutrophication. Taking the waters of Chaohu Lake as the research area, four remote sensing inversion models of the chloro
Externí odkaz:
https://doaj.org/article/eceb4142843f4b8292ba921a299ad8ee
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4229-4246 (2023)
As China has recently launched the GaoFen-1 satellite (GF-1) carrying on the wide-field view (WFV) sensor, it is a challenging task to make full use of its observations to produce the fractional vegetation cover (FVC). In light of this, our study pre
Externí odkaz:
https://doaj.org/article/b165e3ac54fd4373b3cfc2a34dac7793
Autor:
Yi Dong, Wei Su, Fu Xuan, Jiayu Li, Feng Yin, Jianxi Huang, Yelu Zeng, Xuecao Li, Wancheng Tao
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 26, Iss 3, Pp 732-746 (2023)
Accurate land surface reflectance plays an important role in the accurate inversion of surface parameters, and atmospheric correction plays a decisive role in obtaining accurate reflectance. For GF-1 WFV and GF-6 WFV images, there are two major issue
Externí odkaz:
https://doaj.org/article/551fff966cb74e9c9a119145603b74c8
Autor:
Tairu Chen, Tao Yu, Lili Zhang, Wenhao Zhang, Xiaofei Mi, Yan Liu, Yulin Zhan, Chunmei Wang, Juan Li, Jian Yang
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 252 (2024)
Clouds and cloud shadow cover cause missing data in some images captured by the Gaofen-1 Wide Field of View (GF-1 WFV) cameras, limiting the extraction and analysis of the image information and further applications. Therefore, this study proposes a m
Externí odkaz:
https://doaj.org/article/e990c8b7299c41d48a9f5e84155e5aef
Autor:
Yaozong Ding, Xingfa Gu, Yan Liu, Hu Zhang, Tianhai Cheng, Juan Li, Xiangqin Wei, Min Gao, Man Liang, Qian Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5382 (2023)
The GaoFen-1 wide field of view (GF-1 WFV) has produced level 1 digital number data globally; however, most applications have focused on China, and data quality outside China has not been validated. This study presents a preliminary assessment of the
Externí odkaz:
https://doaj.org/article/95145e6a626b47fd932fb80d52cfaf9f
Autor:
Guoguo Yang
Publikováno v:
IEEE Access, Vol 10, Pp 35665-35674 (2022)
Net primary productivity (NPP) is an important indicator of Earth’s ecosystem. However, NPP estimation of cities by high spatial resolution is limited in China, especially Nanjing, and NPP evolution and quantitative analysis of influencing factors
Externí odkaz:
https://doaj.org/article/7d8f9447f88d4a3381af4364a3c0aed7
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2812 (2023)
The leaf area index (LAI) is a crucial parameter for analyzing terrestrial ecosystem carbon cycles and global climate change. Obtaining high spatiotemporal resolution forest stand vegetation LAI products over large areas is essential for an accurate
Externí odkaz:
https://doaj.org/article/0987da4169a245ea93c6118608560dca
Autor:
Xiaojun Shan, Jingyi Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2820 (2023)
The Gaofen-1 (GF-1) and Gaofen-6 (GF-6) satellites have acquired many GF-1 and GF-6 wide-field-view (WFV) images. These images have been made available for free use globally. The GF-1 WFV (GF-1) and GF-6 WFV (GF-6) images have rational polynomial coe
Externí odkaz:
https://doaj.org/article/3777ae86f19a46c9814dc4d96bc64c63
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5296 (2022)
Forests are an essential part of the ecosystem and play an irreplaceable role in maintaining the balance of the ecosystem and protecting biodiversity. The monitoring of forest distribution plays an important role in the conservation and management of
Externí odkaz:
https://doaj.org/article/658c92a8c3b44edea5437756f580b7b2
Autor:
Guofeng Tao, Kun Jia, Xiangqin Wei, Mu Xia, Bing Wang, Xianhong Xie, Bo Jiang, Yunjun Yao, Xiaotong Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 101, Iss , Pp 102362- (2021)
Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions,
Externí odkaz:
https://doaj.org/article/f3b375ee808049ccb779ad862461fc16