Jinfeng Li

Jinfeng Li


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 January 2021 in Remote Sensing
Verified
Journal Article
Open access
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Xiaohui SunXiaohui Sun
Xiaohui Sun
WWWenjin Wu
Wenjin Wu
XLXinwu Li
Xinwu Li
XXXiyan Xu
Xiyan Xu
JLJinfeng Li
Jinfeng Li
In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the ability of both linear and nonlinear spectral mixture analysis (SMA) models, including a group of newly developed modified Nascimento’s models for Antarctic vegetated areas (MNM-AVs), in estimating the abundance of major Antarctic vegetation types, i.e., mosses and lichens. The study was conducted using WorldView-2 satellite data and field measurements over the Fildes Peninsula and its surroundings, which are representative vegetated areas in Antarctica. In MNM-AVs, we introduced secondary scattering components for vegetation and its background to account for the sparsity of vegetation cover and reassigned their coefficients. The new models achieved improved performances, among which MNM-AV3 achieved the lowest error for mosses (lichens) abundance estimation with RMSE = 0.202 (0.213). Compared with MNM-AVs, the linear model performed particularly poor for lichens (RMSE = 0.322), which is in contrast to the case of mosses (RMSE = 0.212), demonstrating that spectral signals of lichens are more prone to mix with their backgrounds. Abundance maps of mosses and lichens, as well as a map of moss health status for the entire study area, were then obtained based on MNM-AV3 with around 80% overall accuracy. Moss areas account for 0.7695 km2 in Fildes and 0.3259 km2 in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress.

2 January 2020 in Grana
Verified
Journal Article
Closed access
SLSu-Ping Li
Su-Ping Li
DFDavid Kay Ferguson
David Kay Ferguson
NWNai-Wen Wang
Nai-Wen Wang
XHXi-Xian He
Xi-Xian He
JYJian-Xin Yao
Jian-Xin Yao
JLJinfeng Li
Jinfeng Li
Pleistocene cave deposits usually provide ideal materials for the study of mammals. Karst caves in Chongzuo, Guangxi Zhuang Autonomous Region of south China are famous for numerous studies on their abundant mammalian fossils and most importantly, Homo sapiens. Unfortunately, the environmental backgrounds, e.g. vegetation and climate, that governed these faunas, are usually lacking because there is no appropriate proxy. In this work, we analysed the palynological assemblages from seven well-dated karst caves in Chongzuo. The ages of these seven caves (2.0–0.11 Ma) cover almost the entire Pleistocene. Though the number of pollen and spores is comparatively low, as expected, we managed to reconstruct the principle vegetation types. The results show that the individual vegetations were mainly warm temperate to subtropical evergreen and deciduous broad-leaved mixed forests. The present study provides important background environmental information on the Pleistocene faunas and Homo sapiens in Guangxi, south China.

10 July 2024 in Journal of Forensic Sciences
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Journal Article
Closed access
YWYi‐Ming Wu
Yi‐Ming Wu
LLLi‐Li Lu
Li‐Li Lu
GXGan Xie
Gan Xie
DFDavid Kay Ferguson
David Kay Ferguson
HGHong‐Ling Guo
Hong‐Ling Guo
JLJinfeng Li
Jinfeng Li

24 April 2026 in Journal of Biogeography
Verified
Journal Article
Closed access
DHDi Hu
Di Hu
GXGan Xie
Gan Xie
YYYi‐Feng Yao
Yi‐Feng Yao
DFDavid K. Ferguson
David K. Ferguson
YWYu‐Fei Wang
Yu‐Fei Wang
JLJinfeng Li
Jinfeng Li