Name：zhangjialong

Major：Forest Management

Academic degree：Doctor

Professional Title：Professor

Mentor Categories：Ph.D./Master’s Supervisor

E-mail：jialongzhang@swfu.edu.cn

Communication address：College of Forestry, Southwest Forestry University, No. 300 Bailong Temple, Panlong District, Kunming, Yunnan Province, 650224, China.

Personal Profile: Zhang Jialong, Ph.D., Professor, Visiting Scholar at McGill University, Doctoral Supervisor, Yunnan Talents “Youth Top Talent” awardee. Director of the Forest Management Teaching and Research Office, Head of Forest Management and Forestry Professional Master’s Program, and Head of the Smart Forestry Program.

Research Interests: Remote sensing-based estimation of forest biomass/carbon stock/carbon sequestration, time series remote sensing, land use and land cover change (LULCC), etc.

Educational Background:

1. September 2015 to June 2019, Southwest Forestry University, Forest Management, Ph.D.

2. September 2004 to July 2007, Kunming University of Science and Technology, Cartography and Geographic Information Systems, M.Sc. (Recommended Exemption)

3. September 2001 to July 2005, Kunming University of Science and Technology, International Economics and Trade, Bachelor’s Degree (Second Bachelor’s Degree)

4. September 2000 to July 2004, Kunming University of Science and Technology, Surveying and Mapping Engineering, Bachelor’s Degree

Work Experience:

1. December 2021 to Present, Southwest Forestry University, College of Forestry, Professor

2. September 2013 to November 2021, Southwest Forestry University, Department of Forest Management, School of Forestry, Associate Professor

3. September 2012 to September 2013, McGill University, Department of Geography, Visiting Scholar

4. September 2009 to August 2011, Southwest Forestry University, Department of Forest Management, School of Forestry, Lecturer

5. July 2007 to September 2009, Southwest Forestry College, Forest Management Teaching and Research Section, School of Resources, Teaching Assistant

Main Courses Taught: Remote Sensing and Geographic Information Systems (Yunnan Province First-Class Course), Spatial Analysis (Master’s and Bachelor’s levels), Principles of Geographic Information Systems.

Supervision of Graduate Students: Forest Management (Ph.D.), Forest Management (M.Sc.), Cartography and Geographic Information Systems (M.Sc.), Forestry (Professional Master’s) with a focus on Digital Forestry and Forest Resource Management.

Project Experience:

(1)National Natural Science Foundation of China, Regional Science Fund Project, 32260390, Estimation and Uncertainty Analysis of Carbon Stock in Regional High Mountain Pine Forests Based on Spatiotemporal Filtered Data, 2023-01-01 to 2026-12-31, 330,000 CNY, Ongoing, Principal Investigator (PI)

(2)Southwest Forestry University, Joint Open Fund of Key Laboratories and Key Disciplines, LXXK-2023Z06, Research on the Construction of Forest Carbon Sink Estimation Model Based on Time Series Remote Sensing Data, 2024-01-01 to 2026-12-31, 300,000 CNY, Ongoing, PI

(3)Yunnan Province Talents Work Leading Group, Yunnan Talents “Youth Top Talent”, YNWR-QNBJ-2020-164, Research on the Estimation of Forest Aboveground Biomass Dynamics Based on Time Series Remote Sensing Data, 2021-01 to 2025-12, 500,000 CNY, Ongoing, PI

(4)National Natural Science Foundation of China, Regional Science Fund Project, 31860207, Construction of High Mountain Pine Aboveground Biomass Dynamics Model Based on Remote Sensing Factor Changes, 2019-01-01 to 2022-12-31, 400,000 CNY, Completed, PI

(5)Southwest Forestry University, University-level Scientific Research Special Project, 111932, Research on the Pattern and Driving Forces of Aboveground Biomass Changes of Typical Arbors Based on Landsat Time Series Data, 2020-01-01 to 2021-12-31, 30,000 CNY, Completed, PI

(6)National Natural Science Foundation General Program, 31770677, Uncertainty Analysis and Sampling Precision Control of Forest Biomass Remote Sensing Estimation, 2018-01-01 to 2021-12-31, 610,000 CNY, Completed, Participant

(7)National Public Welfare Forestry Industry Research Project, 201404309, Remote Sensing Dynamic Monitoring Research of Carbon Storage in Typical Arbors in Ecologically Fragile Areas, 2014-01-01 to 2018-12-31, 1,270,000 CNY, Completed, Participant

(8)National Natural Science Foundation Regional Fund, 31560237, Research on the Evolution of Ecological Fragility in Typical Karst Wetlands in Southeast Yunnan Based on Entropy突变 Theory, 2016-01-01 to 2019-12-31, Completed, Participant

(9)Southwest Forestry University, First-level Discipline of Forestry Young and Middle-aged Reserve Talent Training Program, 5009750101, Dynamic Monitoring of Aboveground Biomass of High Mountain Pine in Northwest Yunnan Based on SPOT Data, 2015-10-01 to 2017-10-31, 30,000 CNY, Completed, PI

(10)Yunnan Province Department of Education Key Project, 2015Z143, Dynamic Monitoring of Aboveground Biomass of Typical Arbors Based on Spectral Mixture Analysis, 2015-06-01 to 2017-12-31, 20,000 CNY, Completed, PI

(11)National Natural Science Foundation Youth Fund, 31100520, Research on Reproductive Growth Strategies of Local Tree Species in the Dry and Hot Valleys under Global Change, 2012-01-01 to 2014-12-31, 200,000 CNY, Completed, Participant

(12)Social Sciences and Humanities Research Council of Canada, Indigenous Minority Livelihoods and Food Security in the China-Vietnam Borderlands, 2012-09-01 to 2013-09-30, 400,000 CAD, Completed, Participant

(13)National Public Welfare Forestry Industry Research Project, 200904045, Research on the Conservation Mechanism of Biodiversity in Typical Ecosystems, 2009-01-01 to 2012-12-31, 700,000 CNY, Completed, Participant

(14)Yunnan Province Department of Education Research Fund, 2010Y299, Key Technology Research on the Information Service System of Forest Rights System Reform Achievements Based on WebGIS, 2009-10-01 to 2012-12-31, 7,000 CNY, Completed, PI

Publications:

Zhang Jialong et al. Dynamics and Driving Forces of Aboveground Biomass of High Mountain Pine in Shangri-La City. China Forestry Publishing House, 2023.

Zhang Jialong, Xu Hui. Estimation of Forest Aboveground Biomass and Uncertainty Analysis Based on Multi-source Remote Sensing Data. China Forestry Publishing House. 2021.

Textbooks:

Zhang Jialong et al. Remote Sensing and Geographic Information Science. Science Press, 2016.

Zhang Jialong et al. Remote Sensing and Geographic Information Systems: Experimental and Internship Guidance. Yunnan Education Publishing House, 2016.

Awards:

1. Zhang Jialong, “Using Landsat Thematic Mapper records to map land cover change and the impacts of reforestation programmes in the borderlands of southeast Yunnan, China: 1990-2010,” 6th Liangxi Youth Paper Award, Chinese Society of Forestry & Liangxi Science and Technology Education Fund Committee, Other, Third Prize, 2016.

2. Zhang Jialong, “Research on Key Technologies for Precise Remote Sensing Estimation of Biomass and Carbon Stock in Typical Forests of Yunnan Mountains and Their Application,” Liangxi Forest Science and Technology Award for Scientific and Technological Progress, Third Prize, 2023.

First Author/Corresponding Author (indicated with *)

[1]Chen, Chaoqing, Yunrun He, Jialong Zhang*, Dongfan Xu, Dongyang Han, Yi Liao, Libin Luo, Chenkai Teng, and Tangyan Yin. 2023. “Estimation of Above-Ground Biomass for Pinus densata Using Multi-Source Time Series in Shangri-La Considering Seasonal Effects” Forests 14, no. 9: 1747. https://doi.org/10.3390/f14091747

[2]Liao, Yi, Jialong Zhang*, Rui Bao, Dongfan Xu, and Dongyang Han. 2022. “Modelling the Dynamics of Carbon Storages for Pinus densata Using Landsat Images in Shangri-La Considering Topographic Factors” Remote Sensing 14, no. 24: 6244.

[3]Xu, Dongfan, Jialong Zhang*, Rui Bao, Yi Liao, Dongyang Han, Qianwei Liu, and Tao Cheng. 2022. “Temporal and Spatial Variation of Aboveground Biomass of Pinus densata and Its Drivers in Shangri-La, CHINA” International Journal of Environmental Research and Public Health 19(1):1-17.

[4]Bao Rui, Zhang Jialong*, Lu Chi, et al. Estimating above-ground biomass of Pinus densata Mast. using best slope temporal segmentation and Landsat time series[J]. Journal of Applied Remote Sensing. 2021,15,(2):024507.

[5]Zhang Jialong, Lu Chi, Xu Hui, et al. Estimating aboveground biomass of Pinus densata-dominated forests using Landsat time series and permanent sample plot data[J]. Journal of Forestry Research. 2019,30,(5):1689-1706.

[6]Cheng Tao, Zhang Jialong*, Zheng Xinyan, et al. Land cover’s refined classification based on multi source of remote sensing information fusion: a case study of national geographic conditions census in China[C]//10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) – Remote Sensing Image Processing, Geographic Information Systems, and Other Applications. 2018.

[7]Zhang Jialong, Thi-Thanh-Hien Pham, Kalacska Margaret, et al. Using Landsat Thematic Mapper records to map land cover change and the impacts of reforestation programmes in the borderlands of southeast Yunnan, China: 1990-2010[J]. International Journal of Applied Earth Observation and Geoinformation. 2014,31:25-36.

[8]肖庆琳,张加龙*,曹军等. 耦合多特征多时相的普洱市优势树种分类研究 [J]. 森林工程, 2024, 40 (02): 117-126.

[9]滕晨凯,张加龙*,陈朝情等. 基于Landsat时间序列影像和AHTC算法的高山松地上生物量估测 [J]. 中南林业科技大学学报, 2024, 44 (02): 41-52.

[10]曹军,张加龙*,肖庆琳等. 基于随机森林和蒙特卡洛的高山松地上碳储量估测及不确定性分析 [J]. 林业科学研究, 2023, 36 (05): 131-139.

[11]王书贤,张加龙*,鲍瑞等. 香格里拉高山松地上生物量及遥感因子的时空变化特征研究 [J]. 西北林学院学报, 2023, 38 (05): 43-48.

[12]和云润,陈朝情,殷唐燕等.基于地统计模型的林分蓄积量空间异质性研究[J].西北林学院学报,2023,38(03):169-175.

[13]韩雪莲,张加龙*,刘灵等.基于遥感特征变量的高山松碳储量抽样估算[J/OL].西南林业大学学报(自然科学):1-9.

[14]刘灵,张加龙*,韩雪莲等.基于GEE和Sentinel时序影像的优势树种识别研究[J].森林工程,2023,39(01):63-72+81.

[15]廖易,张加龙*,鲍瑞等.引入地形因子的高山松地上生物量动态估测[J].生态学杂志,2023,42(05):1243-1252.

[16]陈培高,张加龙*,许冬凡,熊登亮.基于Landsat时间序列的香格里拉市土地覆盖变化检测[J].西南林业大学学报(自然科学),2022,42(05):171-176.

[17]王飞平,张加龙*.基于碳卫星的森林碳储量估测研究综述[J].世界林业研究,2022,35(06):30-35.

[18]许冬凡,张加龙*,刘钱威,冯亚飞.西南省会城市扩展时空变化及驱动因素分析[J].科学技术与工程,2022,22(20):8616-8622.

[19]韩东阳,张加龙*,杨健,王书贤,冯亚飞.考虑地形效应的高山松地上生物量遥感估测模型构建[J].中南林业科技大学学报,2022,42(04):12-21+67.DOI:10.14067/j.cnki.1673-923x.2022.04.002.

[20]廖易,张加龙*,鲍瑞,许冬凡.基于Landsat的高山松地上生物量动态变化估测模型构建研究[J/OL].西南林业大学学报(自然科学):1-9[2022-06-23].http://kns.cnki.net/kcms/detail/53.1218.S.20220419.0857.002.html

[21]黄屹杰,张加龙*,胡耀鹏,程滔.高山松地上生物量遥感估算的不确定性分析[J].浙江农林大学学报,2022,39(03):531-539.

[22]许冬凡,张加龙*,鲍瑞,廖易,冯亚飞.基于GEE的滇池流域土地覆盖变化及建设用地扩张驱动力分析[J].西南林业大学学报(自然科学),2022,42(01):142-150.

[23]唐金灏,张加龙*,陈立业,程滔.高山松地上生物量估测与尺度转换研究[J].林业资源管理,2021(06):83-89.DOI:10.13466/j.cnki.lyzygl.2021.06.014.

[24]王书贤, 张加龙*, 廖易. 基于Landsat时间序列数据的森林地上生物量估测研究进展[J]. 世界林业研究. 2021:1-8.

[25]刘蓉姣, 张加龙*, 陈培高. 基于混合像元分解的香格里拉市高山松空间分布变化研究[J]. 西北林学院学报. 2021,36,(01):9-17.”

[26]李玉新, 段华超, 张加龙*, 等. 新时代护林员队伍建设问题与对策建议[J]. 绿色科技. 2020,(17):131-132+135.

[27]鲍瑞, 张加龙*, 陈培高. 应用滤波方法提高高山松地上生物量遥感估测精度的研究[J]. 西南林业大学学报(自然科学). 2020,40,(05):126-134.

[28]张加龙, 胥辉. 基于遥感的高山松连清固定样地地上生物量估测模型构建[J]. 北京林业大学学报. 2020,(07):1-11.

[29]张加龙, 胥辉. 基于遥感的森林生物量估测样地调查方法的研究动态[J]. 西南林业大学学报(自然科学). 2019,39,(4):166-173.

[30]程滔, 李广泳, 赵慧, 等. 基于栅格空间的地表覆盖精化分类方法研究[J]. 测绘地理信息. 2019,(02):105-108.

[31]张沛松, 鲍瑞, 张加龙*, 等. 宾川县林下产业发展现状及对策[J]. 西南林业大学学报(社会科学). 2019,(01):27-30.

[32]张加龙, 胥辉. 一种森林地上生物量遥感估测通用模型构建方法:CN201810658816.1[P]. 2018-6-25.

[33]张加龙, 胥辉, 陆驰. 应用Landsat8 OLI和GBRT对高山松地上生物量的估测[J]. 东北林业大学学报. 2018,(08):25-30.

[34]陈俊松, 张加龙*. 怒江州林业资源保护利用及可持续发展对策[J]. 绿色科技. 2018,(05):133-136.

[35]陆驰, 张加龙*, 王爱芸, 等. 基于森林小班的香格里拉市高山松生物量遥感建模[J]. 西南林业大学学报(自然科学). 2017,(03):152-158.

[36]杨明星, 张加龙*, 曹影, 等. 基于Landsat 8的云南松光谱端元选择与评价研究[J]. 西南林业大学学报(自然科学). 2017,(03):165-169.

[37]曹影, 张加龙*, 陆驰, 等. 基于Landsat 8的云南松光谱混合分析研究[J]. 西部林业科学. 2017,(05):59-63.

[38]张加龙. 遥感与地理信息系统实验实习指导[M]. [云南科技出版社. 2016.

[39]张加龙. 遥感与地理信息科学[M]. 科学出版社. 2016.

[40]陆驰, 张加龙*, 王爱芸, 等. 基于Landsat TM的香格里拉市高山松生物量估测重建[J]. 林业调查规划. 2016,(06):1-7.

[41]蒋胜昌, 张加龙*, 陆驰, 等. 考虑地形因素的像元均方差抛物线拟合高山松丰度研究[J]. 林业资源管理. 2016,(05):59-64.

[42]曾丽波, 张加龙*, 李亚娟, 等. 1990—2010年云南省少数民族人口分布空间差异分析[J]. 地域研究与开发. 2015,(02):167-171.

[43]胥辉, 岳彩荣, 舒清态, 等. 基于遥感技术的香格里拉县森林景观变化与森林生物量估测研究[M]. 云南科技出版社. 2014.

[44]张加龙, 胥辉, 岳彩荣, 等. 基于CA-Markov的香格里拉县森林景观格局变化及预测[C]. 2013:46-49+65.

[45]张加龙, 岳彩荣, 马俊华. 基于Google Maps与PDA的在线跟踪系统的实现与应用[C]//Intelligent Information Technology Application Association. 青岛市. 2011:326-329.

[46]张加龙, 王欣. 永善县建设用地变化模拟与分析[J]. 地理空间信息. 2011,(03):35.

[47]张加龙, 张玥. 林地面积空间抽样方法研究[J]. 山东林业科技. 2011,(02):14-17.

[48]张加龙, 张高峰. 基于WebGIS的林改成果信息服务系统的设计与实现[J]. 林业资源管理. 2011,(03):111-114.

[49]张加龙, 郑传斌, 王宇新. 基于GIS/RS的滇池流域土地利用/覆盖变化研究[J]. 地矿测绘. 2011,(01):13.

[50]张加龙, 刘云根, 杨善, 等. 基于GIS的盘龙江水环境分析与预测研究——以氨氮分析为例[J]. 安徽农业科学. 2011,(12):7360.

[51]张加龙, 岳彩荣, 马俊华. 基于Google Maps与PDA的在线跟踪系统的实现与应用[C]//Proceedings of 2010 International Conference on Broadcast Technology and Multimedia Communication(Volume 2). 2010:4.

[52]Jia-Long Zhang, Cai-Rong Yue. Data exploration and study on the results of the reform of the collectively-owned forest rights system—Sample in Yiliang, Yunnan.[C]//The 2nd International Conference on Information Science and Engineering.. 2010.

[53]章皖秋, 赵柱国, 张加龙*. GPS静态相对定位应用及精度研究[J]. 安徽农业科学. 2010,(18).

[54]马占林, 张加龙*, 印传奇. GPS测量中坐标基准统一方法的研究[J]. 测绘与空间地理信息. 2010,(02).

[55]张加龙, 赵俊三. 基于WebGIS的土地登记信息服务系统研建[J]. 西南林学院学报. 2009,29,(02):66-70.