LI Peng----Institute of Geographic Sciences and Natural Resources Research, CAS

LI Peng

Ph.D., Professor, Doctoral Supervisor

• Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

• Addr.:11A, Datun Rd., Chaoyang Dist., Beijing 100101, China

• Email: lip@igsnrr.ac.cn

• Mobile: +86 13810699481 (WeChat)

• ORCID: https://orcid.org/0000-0002-0849-5955

LI Peng is a professor of Natural Resources at the Key Lab for Resources Use & Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS). His research interests are in Natural Resources Remote-sensing and Border Land-use Science, especially in continuous change detection using from Landsat/Sentinel imagery. He focuses recent research on the dynamics and mechanisms of tropical forest-swidden-plantation (TFSP), active five occurrence and development, Landsat/Sentinel cloud coverage and imagery acquisition probability, and border land use change and geo-economic cooperation. Since 2013, he has led over ten times of field trips on forests, swidden agriculture, commercial tree/crop plantations, impervious surface, and other land cover and land use types in mainland Southeast Asian countries and, the Southwestern borderlands of China, including Yunnan Province, the Guangxi Zhuang Autonomous Region, and the Xizang Autonomous Region. He is one of members of the Working Group “Shifting Cultivation in Transition” of Global Land Programme (GLP).

Research Projects (Principal Investigator)

[1] National Natural Science Foundation of China (Grant number 42371282): Occurrence processes and development mechanisms of active fires caused by swidden agriculture in South and Southeast Asia, 2024-2027, 520 Thousand CNY.

[2] National Natural Science Foundation of China (Grant number 41971242): Change processes and characteristics of fallow periods of swidden agriculture in northern Laos since the implementation of the New Economic Mechanism in 1986, 2020-2023, 570 Thousand CNY.

[3] The Youth Innovation Promotion Association of the Chinese Academy of Sciences (Grant number 2020055): Swidden agriculture in transition in the tropics, 2020-2023, 800 Thousand CNY.

[4] The BINGWEI Excellent Young Talents of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (Grant number 2018RC201): Geo-economic Impacts on Border Land Use and Cover Change (LUCC) and its Response in the Border Areas between Laos and its Neighboring Countries, 2019-2021, 400 Thousand CNY.

[5] National Natural Science Foundation of China (Grant number 41301090): Spatio-temporal pattern dynamics and vegetation recovery process of swidden agriculture in Montane Mainland Southeast Asia (MMSEA), 2014-2016, 260 Thousand CNY.

Key Areas of Graduate Supervision

Remote sensing of tropical forest-swidden-plantation (TFSP) using Landsat and Sentinel-2 images; Continuous change detections algorithms for extraction of abrupt changes related to TFSP and impervious surface area; Applied research in geospatial data science for monitoring and evaluating occurrence and development of global active fires; Image-wide and pixel-based cloud coverage and image acquisition or availability analysis; and Impacts and responses of border land use change to national geo-economic cooperation and competition.

Recent Courses Taught

-----Master's program of University of Chinese Academy of Sciences: Natural Resources Evaluation and Applications of 3S Technologies (Spring course, since 2017).

-----Doctoral program of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy Sciences: Remote Sensing of Natural Resources and Border Land Use Change (Autumn course, since 2023).

SCI-indexed Journal Publications (not including those Chinese articles)

(*: Corresponding Author; #: Co-first Author)

[1] Yin Yang, Peng Li*, Arun Jyoti Nath, Zhiming Feng, Zhen Xiao, Jing Yang. Landsat scene- and pixel-based cloud cover research: A review. International Journal of Digital Earth, 2025, 18(1): 2489732. DOI: 10.1080/17538947.2025.2489732

[2] Peng Li*, Xianghao Jin, Xia Li. How do tropical active fires respond to intra-annual climate change in the early 21st century? Geography and Sustainability, 2025, 6(3):100253. DOI: 10.1016/j.geosus.2024.100253

[3] Ningsang Jiang,Peng Li*, Zhiming Feng. Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine. International Journal of Applied Earth Observation and Geoinformation,2025, 136, 104403. DOI: 10.1016/j.jag.2025.104403

[4] Peng Li*, Arun Jyoti Nath. The history and revival of swidden agriculture research in the tropics. CABI Agriculture and Bioscience, 2024, 5(1): 84. DOI: 10.1186/s43170-024-00298-z

[5] Peng Li*, Wenyu Li, Dong Shi, Arun Jyoty Nath. Normalized difference red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics. Ecological Informatics, 2024, 82: 102775. DOI: 10.1016/j.ecoinf.2024.102775

[6] Chenqin Lian,Peng Li, Zhiming Feng. Accelerated reduction in China's cropland fires against the background of policy enhancement. Environmental Impact Assessment Review,2024,106: 107512. DOI: 10.1016/j.eiar.2024.107512

[7] Yin Yang, Peng Li*. Scene-and pixel-level analysis of Landsat cloud coverage and image acquisition probability in South and Southeast Asia. International Journal of Applied Earth Observation and Geoinformation, 2023, 123: 103477. DOI: 10.1016/j.jag.2023.103477

[8] Chiwei Xiao, Peng Li*, Zhiming Feng. Agricultural expansion and forest retreat in Mainland Southeast Asia since the late 1980s. Land Degradation & Development, 2023, 34(17): 5606-5621. DOI: 10.1002/ldr.4867

[9] Peng Li, Zhiming Feng, Chiwei Xiao. Changes in the Length of Fallow Periods and Land-Use Intensity of Swidden Agriculture in Montane Mainland Southeast Asia from 1988 to 2016 (Chapter 6). In Cairns, M. F. (Ed), Farmer Innovations and Best Practices by Shifting Cultivators in Asia-Pacific, CAB International (CABI), ISBN: 9781800620094, 2023: 102-135. DOI: 10.1079/9781800620117.0006

[10] Peng Li, Chiwei Xiao, Zhiming Feng. Swidden agriculture in transition and its roles in tropical forest loss and industrial plantation expansion. Land Degradation & Development, 2022, 33(2): 388-392. DOI: 10.1002/ldr.4152

[11] Chiwei Xiao, Zhiming Feng,Peng Li*. Active fires show an increasing elevation trend in the tropical highlands. Global Change Biology,2022, 28(8): 2790-2803. DOI: 10.1111/gcb.16097

[12] Peng Li*, Zhen Xiao. Impervious surface expansion in the China-Laos border area under the context of geo-economic cooperation: a case study of the Mohan-Boten Economic Cooperation Zone. GIScience & Remote Sensing, 2022, 59(1): 2184-2201. DOI: 10.1080/15481603.2022.2154919

[13] Ningsang Jiang,Peng Li*, Zhiming Feng. Remote sensing of swidden agriculture in the tropics: A review. International Journal of Applied Earth Observation and Geoinformation,2022, 112: 102876. DOI: 10.1016/j.jag.2022.102876

[14] Peng Li*, Yin Yang. Swidden agriculture landscape mapping using MODIS vegetation index time series and its spatio-temporal dynamics in Northern Laos. Remote Sensing, 2022, 14(23): 6173. DOI: 10.3390/rs14236173

[15] Wenjun Li, Peng Li*, Zhiming Feng. Delineating fire-hazardous areas and fire-induced patterns based on Visible Infrared Imaging Radiometer Suite (VIIRS) active fires in Northeast China. Remote Sensing, 2022, 14(20): 5115. DOI: 10.3390/rs14205115

[16] Chiwei Xiao, Peng Li*, Zhiming Feng, Yanzhao Yang, Zhen You, Yumei Lin, Xianzhou Zhang. Latest 30-m map of mature rubber plantations in Mainland Southeast Asia (MSEA) and Yunnan Province of China: Spatial patterns and geographical characteristics. Progress in Physical Geography: Earth and Environment, 2021, 45(5): 736-756. DOI: 10.1177/0309133320983746

[17] Chiwei Xiao, Peng Li*, Zhiming Feng, Fangyu Zheng. Global border watch: From land use change to joint action. International Journal of Applied Earth Observation and Geoinformation, 2021, 103: 102494. DOI: 10.1016/j.jag.2021.102494

[18] Xu Yin, Peng Li^#, Zhiming Feng, Yanzhao Yang, Zhen You, Chiwei Xiao. Which gridded population data products is better? Evidence from Mainland of Southeast Asia (MSEA). ISPRS International Journal of Geo-Information, 2021, 10(10): 681. DOI: 10.3390/ijgi10100681

[19] Peng Li, Chiwei Xiao, Zhiming Feng, Wenjun Li, Xianzhou Zhang. Occurrence frequencies and regional variations in Visible Infrared Imaging Radiometer Suite (VIIRS) global active fires. Global Change Biology, 2020, 26(5): 2970-2987. DOI: 10.1111/gcb.15034

[20] Chiwei Xiao, Peng Li^#, Zhiming Feng, Yiyuan Liu, Xianzhou Zhang. Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR. International Journal of Applied Earth Observation and Geoinformation, 2020, 93: 102176. DOI: 10.1016/j.jag.2020.102176

[21] Chiwei Xiao, Peng Li*, Zhiming Feng, Zhen You, Luguang Jiang, Khampheng Boudmyxay. Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos? Advances in Space Research, 2020, 65(1): 446-457. DOI: 10.1016/j.asr.2019.09.022

[22] Chiwei Xiao, Peng Li*, Zhiming Feng. Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach. International Journal of Applied Earth Observation and Geoinformation, 2019, 77: 30-41. DOI: 10.1016/j.jag.2018.12.006

[23] Chiwei Xiao, Peng Li*, Zhiming Feng. A renormalized modified normalized burn ratio (RMNBR) index for detecting mature rubber plantations with Landsat-8 OLI in Xishuangbanna, China. Remote Sensing Letters, 2019, 10(3): 214-223. DOI: 10.1080/2150704X.2018.1541106

[24] Chiwei Xiao, Peng Li*, Zhiming Feng, Xiaona Liu. An updated delineation of stand ages of deciduous rubber plantations during 1987-2018 using Landsat-derived bi-temporal thresholds method in an anti-chronological strategy. International Journal of Applied Earth Observation and Geoinformation, 2019, 76: 40-50. DOI: 10.1016j.jag.2018.10.020

[25] Chiwei Xiao, Peng Li*, Zhiming Feng. How Did Deciduous Rubber Plantations Expand Spatially in China’s Xishuangbanna Dai Autonomous Prefecture During 1991–2016? Photogrammetric Engineering & Remote Sensing, 2019, 85(9): 687-697. DOI: 10.14358/PERS.85.9.687

[26] Peng Li, Chiwei Xiao, Zhiming Feng. Mapping rice planted area using a new Normalized EVI and SAVI (NVI) derived from Landsat-8 OLI. IEEE Geoscience and Remote Sensing Letters, 2018, 15(12): 1822-1826. DOI: 10.1109/LGRS.2018.2865516.

[27] Peng Li, Chiwei Xiao, Zhiming Feng, Khampheng Boudmyxay. Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988-2016. Journal of Geographical Sciences, 2018, 28(9): 1307-1328. DOI: 10.1007/s11442-018-1527-4

[28] Peng Li, Zhiming Feng, Chiwei Xiao. Acquisition probability differences in cloud coverage of the available Landsat observations over mainland Southeast Asia from 1986 to 2015. International Journal of Digital Earth, 2018, 11(5): 437-450. DOI:10.1080/17538947.2017.1327619

[29] Chiwei Xiao, Peng Li*, Zhiming Feng, Xingyuan Wu. Spatio-temporal differences in cloud cover of Landsat-8 OLI observations across China during 2013-2016. Journal of Geographical Sciences, 2018, 28(4): 429-444. DOI: 10.1007/s11442-018-1482-0

[30] Chiwei Xiao, Zhiming Feng, Peng Li*, Zhen You, Jiakun Teng. Evaluating the suitability of different terrains for sustaining human settlements according to the local elevation range in China using the ASTER GDEM. Journal of Mountain Science, 2018, 15(12): 2741–2751. DOI: 10.1007/s11629-018-5058-3

[31] Chiwei Xiao, Peng Li, Zhiming Feng. Re-delineating mountainous areas with three topographic parameters in Mainland Southeast Asia using ASTER global digital elevation model data. Journal of Mountain Science, 2018, 15(8): 1728-1740. DOI: 10.1007/s11629-017-4746-8

[32] Zhiming Feng, Fangzhou Li, Yanzhao Yang, Peng Li. The past, present, and future of population geography in China: Progress, challenges and opportunities. Journal of Geographical Sciences, 2017, 27(8): 925-942. DOI: 10.1007/s11442-017-1413-5

[33] Peng Li, Luguang Jiang, Zhiming Feng, Sage Sheldon, Xiangming Xiao. Mapping rice cropping systems using Landsat-derived renormalized index of Normalized Difference Vegetation Index (RNDVI) in the Poyang Lake Region, China. Frontiers of Earth Science, 2016, 10(2): 303-314. DOI: 10.1007/s11707-016-0545-8

[34] Peng Li, Zhiming Feng. Extent and area of swidden in montane mainland Southeast Asia: Estimation by multi-step thresholds with Landsat-8 OLI Data. Remote Sensing, 2016, 8(1): 44. DOI: 10.3390/rs8010044

[35] Peng Li, Jinghua Zhang, Zhiming Feng. Mapping rubber tree plantations using a Landsat-based phenological algorithm in Xishuangbanna, southwest China. Remote Sensing Letters, 2015, 6(1): 49-58. DOI:10.1080/2150704X.2014.996678

[36] Chenhua Liao, Zhiming Feng, Peng Li*, Jinghua Zhang. Monitoring the spatio-temporal dynamics of swidden agriculture and fallow vegetation recovery using Landsat imagery in northern Laos. Journal of Geographical Sciences, 2015, 25 (10): 1218-1234. DOI: 10.1007/s11442-015-1229-0

[37] Peng Li, Zhiming Feng, Luguang Jiang, Chenhua Liao, Jinghua Zhang. A review of swidden agriculture in Southeast Asia. Remote Sensing, 2014, 6(2): 1654-1683. DOI: 10.3390/rs6021654

[38] Peng Li, Luguang Jiang, Zhiming Feng. Cross-comparison of vegetation indices derived from Landsat-7 enhanced thematic mapper plus (ETM+) and Landsat-8 operational land imager (OLI) sensors. Remote Sensing, 2014, 6(1): 310-329. DOI: 10.3390/rs6010310

[39] LIU Xiaona, FENG Zhiming, JIANG Luguang, LI Peng, LIAO Chenhua, YANG Yanzhao, YOU Zhen. Rubber plantation and its relationship with topographical factors in the border region of China, Laos and Myanmar. Journal Geographical Science. 2013, 23(6): 1019-1040. DOI: 10.1007/s11442-013-1060-4

[40] Peng Li, Zhiming Feng, Luguang Jiang, Yujie Liu, Xiangming Xiao. Changes in rice cropping systems in the Poyang Lake Region, China during 2004-2010. Journal of Geographical Sciences, 2012, 22(4): 653-668. DOI: 10.1007/s11442-012-0954-x