王金亮导师研究小组论文在SCIE期刊Journal of Mountain Science上线发表

2021年6月17日，以王金亮教授为第一作者、玉院和（云南师范大学旅游与地理科学学院地图学与地理信息系统专业2017级硕士研究生，现为南京师范大学地理科学学院地图学与地理信息系统专业2020级博士研究生）为第二作者撰写题为“Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data”论文在SCIE期刊Journal of Mountain Science（SCIE三区，2019年IF 1.55）上线发表（https://doi.org/10.1007/s11629-020-6333-7）。

干旱灾害是云南省最具破坏力的自然灾害之一，开展干旱监测技术对于理解和减轻干旱以及合理的农业管理意义重大。研究利用MOD13A3、MOD12A2、TRMM 3B43、SRTMDEMUTM等多源数据计算干旱因子，结合主成分分析法和层次分析法构建云南省综合干旱监测模型，并对模型可靠性进行验证，进而分析2009-2018年云南省干旱情况。研究结果表明综合干旱监测模型可为地形复杂地区的干旱监测提供一种新方法。

Fig. 1 Distribution of drought based on comprehensive drought index model from January to May and October to December 2018.

Fig. 2 Distribution of drought frequency from 2009 to 2018 in Yunnan Province, China.

该论文得到了王金亮教授主持的国家重点研发计划政府间国际科技创新合作重点专项：用地理空间技术监测和评估土地利用/土地覆被变化对区域生态安全的影响（2018YFE0184300）、国家自然基金项目：滇中地区生态安全评价与预警研究（41561048）、Erasmus+ Capacity Building in Higher Education of the Education Audiovisual and Culture Executive Agency (EACEA) （586037-EPP-1-2017-1-HU-EPPKA2-CBHE-JP）、云南省哲学社会科学重点项目：云南省县域生态资产测量技术方法与实证研究（ZDZZD201506）、云南省中青年学术技术带头人（2008PY056）和云南省高校高原山地资源环境遥感监测与评估科技创新团队（IRTSTYN）的资助。

这是玉院和同学发表的第5篇SCIE学术论文（详见录1），让我们恭喜玉院和同学！希望再接再厉！也热烈祝贺团队取得好成绩！

截止2021年6月17日，王金亮团队2021年发表学术论文11篇，其中SCIE论文5篇，CSCD论文6篇（详见附录2、附录3）。

论文相关信息

标题：Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data

作者：WANG Jin-liang^1,2,3, YU Yuan-he^1,2,3

通讯作者：YU Yuan-he

作者单位：

1 Faculty of Geography, Yunnan Normal University, Kunming 650500, China

2 Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China

3 Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China

出版物：Journal of Mountain Science

摘要：Development of drought monitoring techniques is important for understanding and mitigating droughts and for rational agricultural management. This study used data from multiple sources, including MOD13A3, TRMM 3B43, and SRTMDEM, for Yunnan Province, China from 2009 to 2018 to calculate the tropical rainfall condition index (TRCI), vegetation condition index (VCI), temperature condition index (TCI), and elevation factors. Principal component analysis (PCA) and analytic hierarchy process (AHP) were used to construct comprehensive drought monitoring models for Yunnan Province. The reliability of the models was verified, following which the drought situation in Yunnan Province for the past ten years was analyzed. The results showed that: (1) The comprehensive drought index (CDI) had a high correlation with the standardized precipitation index, standardized precipitation evapotranspiration index, temperature vegetation dryness index, and CLDAS (China Meteorological Administration land data assimilation system), indicating that the CDI was a strong indicator of drought through meteorological, remote sensing and soil moisture monitoring. (2) The droughts from 2009 to 2018 showed generally consistent spatiotemporal changes. Droughts occurred in most parts of the province, with an average drought frequency of 29% and four drought-prone centres. (3) Monthly drought coverage during 2009 to 2014 exceeded that over 2015 to 2018. January had the largest average drought coverage over the study period (61.92%). Droughts at most stations during the remaining months except for October exhibited a weakening trend (slope > 0). The CDI provides a novel approach for drought monitoring in areas with complex terrain such as Yunnan Province.

关键词：Multisource data; Comprehensive drought index (CDI); Standardized precipitation index (SPI); Standardized precipitation evapotranspiration index (SPEI); Temperature vegetation dryness index (TVDI); Yunnan Province; China

附录1 玉院和同学发表SCI论文清单

2017年9月硕士入学至今，玉院和在王金亮教授指导下发表了8篇学术论文，其中的SCI论文5篇。5篇SCI论文信息如下：

[5] Jinliang Wang, Yuanhe Yu^*. Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data[J]. Journal of Mountain Science, 2021, 18(6):1537-1549.

DOI: https://doi.org/10.1007/s11629-020-6333-7  (SCIE三区, 2019年IF: 1.55)

[4] Yuanhe Yu, Yuzhen Shen, Jinliang Wang^*, Yuchun Wei^*, Lanping Nong, Huan Deng. Assessing the response of vegetation change to drought during 2009-2018 in Yunnan Province, China[J]. Environmental Science and Pollution Research, 2021, online.

DOI: https://doi.org/10.1007/s11356-021-13835-4  (SCI/SCIE 三区, 2019年IF: 3.056)

[3] Yuanhe Yu, Jinliang Wang^*, Feng Cheng, Huan Deng, Sheng Chen. Drought monitoring in Yunnan Province based on a TRMM precipitation product[J]. Natural Hazards, 2020, 104(3): 2369-2387.

DOI: https://doi.org/10.1007/s11069-020-04276-2  (SCI 三区, 2019年IF: 2.427)

[2] Yuanhe Yu, Jinliang Wang^*, Feng Cheng, Yun Chen. Soil Moisture by Remote Sensing Retrieval in the Tropic of Cancer of Yunnan Province[J]. Polish Journal of Environmental Studies, 2020, 29(2): 1981-1993.

DOI: https://doi.org/10.15244/pjoes/110203  (SCI 四区, 2019年IF: 1.383)

[1] Yuanhe Yu, Jinliang Wang^*, Guangjie Liu, Feng Cheng. Forest Leaf Area Index Inversion Based on Landsat OLI Data in the Shangri-La City[J]. Journal of the Indian Society of Remote Sensing, 2019, 47(6): 967-976.

DOI: https://doi.org/10.1007/s12524-019-00950-6  (SCI 四区, 2019年IF: 0.997)

附录2  王金亮导师团队2021年发表SCIE论文清单

截止2021年6月17日，王金亮导师团队2021年已经发表SCI论文5篇。信息如下：

[5]Jinliang Wang, Yuanhe Yu^*. Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data[J]. Journal of Mountain Science, 2021, 18(6):1537-1549.

DOI: https://doi.org/10.1007/s11629-020-6333-7  (SCIE三区, 2019年IF 1.550)

(Online June 17, 2021)

[4]Jie Li, Jinliang Wang*, Jun Zhang, Jianpeng Zhang, Han Kong.Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years[J], International Journal of Applied Earth Observation and Geoinformation

DOI: https://doi.org/10.1016/j.jag.2021.102378 (SCIE一区,Top期刊,2019年IF 4.650)

(Online June 8, 2021)

[3]Fang Liu, Wanbin Wang, Jinliang Wang*, Xingzi Zhang, Jing Ren, Yuexiong Liu. Multi- scale Analysis of the Characteristics of the Changing Landscape of the Typical

 Mountainous Region of Southwest China over the Past 40 Years[J], Peer J

DOI: https://doi.org/10.7717/peerj.10923  (SCIE 三区，2019年 IF 2.380) 

(Published May 14, 2021)

[2] Yuanhe Yu, Yuzhen Shen, Jinliang Wang*, Yuchun Wei*, Lanping Nong & Huan Deng.  Assessing the response of vegetation change to drought during 2009–2018 in Yunnan Province, China[J], Environmental Science and Pollution Research

DOI: https://doi.org/10.1007/s11356-021-13835-4  (SCIE 三区，2019年IF3.056)

 (Published: 22 April 2021)

[1]Qianwei Liu, Weifeng, Jianpeng Zhang, Yicheng Liu, Dongfan Xu, Jinliang Wang*. Point‑cloud segmentation of individual trees in complex natural forest scenes based on a trunk‑growth method[J]，Journal of Forestry Research 

DOI: https://doi.org/10.1007/s11676-021-01303-1 (SCIE 三区，2019年IF1.689)

 (Published: 04 March 2021)

附录3  王金亮导师团队2021年发表CSCD论文清单

截止2021年6月17日，王金亮导师团队2021年已经发表中文学术论文篇。信息如下：

[6]何苏玲,邹凤琼,王金亮*.基于AHP和MSE赋权法的龙南县生态敏感性评价[J/OL].生态学杂志:1-12[2021-06-14].https://doi.org/10.13292/j.1000-4890.202109.022. （CSCD,核心库）

[5]刘钱威,王金亮*.,麻卫峰,张建鹏.一种复杂背景下林木点云精细提取方法[J/OL].测绘科学:1-8[2021-06-14].http://kns.cnki.net/kcms/detail/11.4415.P.20210607.0856.004.html. （CSCD,核心库）

[4]叶辉,王金亮*.,赵娟娟.基于DPSIR-EES模型的北回归线(云南段)生态安全评价[J].水土保持研究,2021,28(03):291-298. （CSCD,扩展库）

[3]张艳可,王金亮*.,苏怀,程峰.基于CART决策树的双尺度流域单元地貌分类研究——以北回归线(云南段)地区为例[J].地理与地理信息科学,2021,37(02):84-92. （CSCD,核心库）

[2]张建鹏,王成,王金亮*..点云密度和体素大小对单木LAI反演的影响[J].遥感信息, 2021,36(01):112-119. （CSCD,核心库）

[1]张艳可,王金亮*.,农兰萍,程峰,张云峰.基于MODIS时序数据北回归线（云南段）地区植被物候时空变化及其对气候响应分析[J].生态环境学报,2021,30(02):274-287. （CSCD,核心库）