Junyi Chen

Dr. Junyi Chen

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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1 June 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
CYChao Yang
Chao Yang
QLQingquan Li
Qingquan Li
ZHZhongwen Hu
Zhongwen Hu
JCJunyi Chen
Junyi Chen
TSTiezhu Shi
Tiezhu Shi
GWGuofeng Wu
Guofeng Wu

24 August 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
CYChao Yang
Chao Yang
HLHuizeng Liu
Huizeng Liu
QLQingquan Li
Qingquan Li
XWXuqing Wang
Xuqing Wang
WMWei Ma
Wei Ma
GWGuofeng Wu
Guofeng Wu
Most intensive human activities occur in lowlands. However, sporadic reports indicate that human activities are expanding in some Asian highlands. Here we investigate the expansions of human activities in highlands and their effects over Asia from 2000 to 2020 by combining earth observation data and socioeconomic data. We find that ∼23% of human activity expansions occur in Asian highlands and ∼76% of these expansions in highlands comes from ecological lands, reaching 95% in Southeast Asia. The expansions of human activities in highlands intensify habitat fragmentation and result in large ecological costs in low and lower-middle income countries, and they also support Asian developments. We estimate that cultivated land net growth in the Asian highlands contributed approximately 54% in preventing the net loss of the total cultivated land. Moreover, the growth of highland artificial surfaces may provide living and working spaces for ∼40 million people. Our findings suggest that highland developments hold dual effects and provide new insight for regional sustainable developments.

1 January 2019 in Journal of Applied Remote Sensing
Verified
Journal Article
Open access
PDF file
JCJunyi Chen
Junyi Chen
KYKun Yang
Kun Yang
SCSuozhong Chen
Suozhong Chen
CYChao Yang
Chao Yang
SZShaohua Zhang
Shaohua Zhang
LHLiang He
Liang He
Impervious surfaces (ISs) have constantly expanded with significant effects on urban natural and human environments through rapid urbanization. IS cover is an important index used to quantify the influence of human activities and alterations of the environment.1 2. 3. 4. 5. – 6 The precise measurement of impervious surface area (ISA) helps control and improve the environment while also optimizing and regulating the scale of cities.

1 January 2020 in European Journal of Remote Sensing
Verified
Journal Article
Open access
JCJunyi Chen
Junyi Chen
SCSuozhong Chen
Suozhong Chen
CYChao Yang
Chao Yang
LHLiang He
Liang He
MHManqing Hou
Manqing Hou
TSTiezhu Shi
Tiezhu Shi
The accuracy and efficiency of impervious surface extraction using different algorithms vary greatly, and algorithm applicability depends on the study area. Therefore, it is necessary to carry out a comparative study of different algorithms across different study areas. This study compared six impervious surface extraction indices (i.e., normalized difference built-up index (NDBI), index-based built-up index (IBI), biophysical composition index (BCI), combinational build-up index (CBI), combinational biophysical composition index (CBCI), and enhanced normalized difference impervious surfaces index (ENDISI)) using Sentinel-2 imagery in Fuxian Lake Basin, Shenzhen City, and Nanjing City. Three study areas with different geographical locations, climatic conditions and altitudes can test spatial heterogeneity of different indices. The results show that: (1) All indices could be used to extract impervious surface, but BCI and CBI were greatly disturbed by water bodies; (2) CBCI, IBI, and NDBI were influenced by study area, while ENDISI could be used across all three study areas; (3) ENDISI algorithm was the best among the six algorithms with a much higher separability degree and an overall accuracy of more than 91.00%. ENDISI can extract impervious surface quickly and accurately from Sentinel-2 imagery across different study areas, and can be well applied in the field of impervious surface change monitoring.

24 December 2016 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
YLYi Luo
Yi Luo
KYKun Yang
Kun Yang
ZYZhenyu Yu
Zhenyu Yu
JCJunyi Chen
Junyi Chen
YXYufei Xu
Yufei Xu
YYYang Yang
Yang Yang

1 January 2023 in Research
Verified
Journal Article
Open access
CYChao Yang
Chao Yang
QLQingquan Li
Qingquan Li
XWXuqing Wang
Xuqing Wang
ACAihong Cui
Aihong Cui
JCJunyi Chen
Junyi Chen
GWGuofeng Wu
Guofeng Wu
Asia stands out as a priority for urgent biodiversity conservation due to its large protected areas (PAs) and threatened species. Since the 21st century, both the highlands and lowlands of Asia have been experiencing the dramatic human expansion. However, the threat degree of human expansion to biodiversity is poorly understood. Here, the threat degree of human expansion to biodiversity over 2000 to 2020 in Asia at the continental (Asia), national (48 Asian countries), and hotspot (6,502 Asian terrestrial PAs established before 2000) scales is investigated by integrating multiple large-scale data. The results show that human expansion poses widespread threat to biodiversity in Asia, especially in Southeast Asia, with Malaysia, Cambodia, and Vietnam having the largest threat degrees (∼1.5 to 1.7 times of the Asian average level). Human expansion in highlands induces higher threats to biodiversity than that in lowlands in one-third Asian countries (most Southeast Asian countries). The regions with threats to biodiversity are present in ∼75% terrestrial PAs (including 4,866 PAs in 26 countries), and human expansion in PAs triggers higher threat degrees to biodiversity than that in non-PAs. Our findings provide novel insight for the Sustainable Development Goal 15 (SDG-15 Life on Land) and suggest that human expansion in Southeast Asian countries and PAs might hinder the realization of SDG-15. To reduce the threat degree, Asian developing countries should accelerate economic transformation, and the developed countries in the world should reduce the demands for commodity trade in Southeast Asian countries (i.e., trade leading to the loss of wildlife habitats) to alleviate human expansion, especially in PAs and highlands.