F
Fei Yuan
Researcher at Minnesota State University, Mankato
Publications - 53
Citations - 4017
Fei Yuan is an academic researcher from Minnesota State University, Mankato. The author has contributed to research in topics: Impervious surface & Land cover. The author has an hindex of 20, co-authored 46 publications receiving 3267 citations. Previous affiliations of Fei Yuan include Hohai University & China Agricultural University.
Papers
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Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery
Fei Yuan,Marvin E. Bauer +1 more
TL;DR: In this article, the authors compared the normalized difference vegetation index (NDVI) and percent impervious surface as indicators of surface urban heat island effects in Landsat imagery by investigating the relationships between the land surface temperature (LST), Percent Impervious Surface area (%ISA), and the NDVI.
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Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing
TL;DR: In this paper, the authors developed a methodology to map and monitor land cover change using multitemporal Landsat Thematic Mapper (TM) data in the seven-county Twin Cities metropolitan area of Minnesota for 1986, 1991, 1998, and 2002.
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Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
Fei Li,Yuxin Miao,Guohui Feng,Fei Yuan,Shanchao Yue,Xiaowei Gao,Yuqing Liu,Bin Liu,Susan L. Ustin,Xinping Chen +9 more
TL;DR: In this paper, the authors evaluated red-edge based spectral indices for estimating plant nitrogen concentration and uptake of summer maize and study the influence of bandwidth and crop growth stage changes on the performance of various vegetation indices.
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Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages
Martin L. Gnyp,Martin L. Gnyp,Yuxin Miao,Fei Yuan,Susan L. Ustin,Kang Yu,Kang Yu,Yinkun Yao,Shanyu Huang,Shanyu Huang,Georg Bareth +10 more
TL;DR: In this article, the performance of the fixed band GreenSeeker active multispectral canopy sensor (GS-NDVI and GS-RVI) has been used to non-destructively estimate crop growth parameters and support precision crop management, but their performance has been influenced by soil and/or water backgrounds at early crop growth stages and saturation effects at moderate to high biomass conditions.
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Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling
TL;DR: In this article, the authors evaluated the land cover change dynamics and their effects for the Greater Mankato Area of Minnesota using image classification and Geographic Information Systems (GIS) modelling in high-resolution aerial photography and QuickBird imagery.