Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Dongqin You"'
Autor:
Jianguang Wen, Xiaodan Wu, Qing Xiao, Qinhuo Liu, Mingguo Ma, Xingming Zheng, Yonghua Qu, Rui Jin, DongQin You, Yong Tang, Xingwen Lin, Wenpin Yu, Baochang Gong, Jian Yang, Yuan Han
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Field-measured spectra are critical for remote sensing physical modelling, retrieval of structural, biophysical, and biochemical parameters, and other practical applications. We present a library of field spectra, which includes (1) portable
Externí odkaz:
https://doaj.org/article/1320e1973b9248e4a56fc87e90203ce1
Autor:
Hongtao Cao, Dongqin You, Dabin Ji, Xingfa Gu, Jianguang Wen, Jianjun Wu, Yong Li, Yongqiang Cao, Tiejun Cui, Hu Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5000 (2023)
The measurement of bidirectional reflectivity for ground-based objects is a highly intricate task, with significant limitations in the capabilities of both ground-based and satellite-based observations from multiple viewpoints. In recent years, unman
Externí odkaz:
https://doaj.org/article/8528bbd0563a4d5586a57794bdeb2317
Autor:
Hao Chen, Xingwen Lin, Yibo Sun, Jianguang Wen, Xiaodan Wu, Dongqin You, Juan Cheng, Zhenzhen Zhang, Zhaoyang Zhang, Chaofan Wu, Fei Zhang, Kechen Yin, Huaxue Jian, Xinyu Guan
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2684 (2023)
High-resolution albedo has the advantage of a higher spatial scale from tens to hundreds of meters, which can fill the gaps of albedo applications from the global scale to the regional scale and can solve problems related to land use change and ecosy
Externí odkaz:
https://doaj.org/article/4e9f543863334fdaa8b78e0dbc9a6013
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8193-8207 (2021)
Validation of satellite products is necessary to enable end-users to know the fitness and exploit their full potential in supporting the decision-making process. Representative in situ observations need to be obtained to make an independent, unified,
Externí odkaz:
https://doaj.org/article/09094f2121d846ceb59bc982ecec19ac
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2639-2655 (2020)
Semiempirical, kernel-driven linear bidirectional reflectance distribution function (BRDF) models are widely used to characterize vegetation reflectance anisotropy and provide land surface bidirectional reflectance factor (BRF) products at the region
Externí odkaz:
https://doaj.org/article/086a26c376434a259a28e5d8bc3bcce5
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 786 (2023)
Semi-empirical kernel-driven models have been widely used to characterize anisotropic reflectance due to their simple form and physically meaningful approximation. Recently, several kernel-driven models have been coupled with topographic effects to i
Externí odkaz:
https://doaj.org/article/1603cdf9490d45fb917c602191c71edb
Publikováno v:
International Journal of Digital Earth, Vol 11, Iss 5, Pp 470-484 (2018)
Upscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based measurements. Conventional ground-based measurements cannot provide sufficient information on the charact
Externí odkaz:
https://doaj.org/article/a79c7ef715d649818b38e8d94baf75dd
Autor:
Xingwen Lin, Jianguang Wen, Yong Tang, Mingguo Ma, Dongqin You, Baocheng Dou, Xiaodan Wu, Xiaobo Zhu, Qing Xiao, Qinghuo Liu
Publikováno v:
International Journal of Digital Earth, Vol 11, Iss 3, Pp 308-328 (2018)
Quantitative remote sensing product (QRSP) validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series. A web-based system named as LAnd surface remote
Externí odkaz:
https://doaj.org/article/35440893307c4bf8aa86c0470db3e6c3
Publikováno v:
International Journal of Digital Earth, Vol 10, Iss 6, Pp 604-622 (2017)
One of the essential steps for satellite albedo validation is upscaling in situ measurements to corresponding pixel scale over relatively heterogeneous land surfaces. Although the multi-scale validation strategy is applicable for heterogeneous surfac
Externí odkaz:
https://doaj.org/article/f5d111960cb04605898f2619dd2af761
Autor:
Xingwen Lin, Jianguang Wen, Qinhuo Liu, Dongqin You, Shengbiao Wu, Dalei Hao, Qing Xiao, Zhaoyang Zhang, Zhenzhen Zhang
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1188 (2020)
As an essential climate variable (ECV), land surface albedo plays an important role in the Earth surface radiation budget and regional or global climate change. The Tibetan Plateau (TP) is a sensitive environment to climate change, and understanding
Externí odkaz:
https://doaj.org/article/07f151341fba4ecea1767e87d3c2d3ef