首页|Comprehensive drought monitoring in Yunnan Province,China using multisource remote sensing data

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

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
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 2o18 to calculate the tropical rainfall condition index (rRCI),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 analysed.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.

Multisource dataComprehensive drought index (CDI)Standardized precipitation index (SPI)Standardized precipitation evapotranspiration index (SPEI)Temperature vegetation dryness index (TVDI)Yunnan ProvinceChina

WANG Jin-liang、YU Yuan-he

展开 >

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

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

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

This research was funded by the Multi-government International Science and Technology Innovation Cooperation Key Project of the Erasmus+ Capacity Building in Higher Education of the Education,Audiovisual and Culture Executive Agency (EACEA)National Natural Science Foundation of ChinaTechnical Methods and Empirical Study on Ecological Assets Measurement in County Level of Yunnan ProvinceYoung and Middle-aged Academic and Technical Leaders Reserve Talents Training Program of Yunnan ProvinceProgram for Innovative Research Team (in Science and Technology) at the University of Yunnan Province,IRTSTYN

2018YFE0184300586037-EPP-1-2017-1-HU-EPPKA2-CBHE-JP41561048ZDZZD2015062008PY056

2021

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSTPCDCSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2021.18(6)
  • 14