IMPROVED DROUGHT MONITORING METHOD BASED ON MULTISOURCE REMOTE SENSING DATA

被引：2

作者：

Wang, Zhengdong ^{[1
,2
,3
]}

Guo, Peng ^{[1
]}

Wan, Hong ^{[1
,3
]}

机构：

[1] Shandong Agr Univ, Coll Informat Sci & Engn, Tai An 271018, Shandong, Peoples R China

[2] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

drought; FY3B; iTVMDI; remote sensing; Shandong Province;

D O I：

10.1109/IGARSS39084.2020.9323442

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Drought is one of the most common natural disasters which may harm ecosystem and economy, and thus, it is important to accurately grasp the change of drought. In this study, an innovative multisource remote sensing drought index improved Temperature-Vegetation-Soil Moisture Dryness Index (iTVMDI) based on passive microwave remote sensing data of FengYun (FY)3B and optical/infrared data is proposed to monitor the drought in Shandong Province, China in 2016. The monitoring results were verified by meteorological data. Results showed that iTVMDI has a negative correlation (R = - 0.73) with precipitation and the average correlation coefficient with temperature is 0.76. Overall, iTVMDI can be applied to monitor the temporal and spatial variation of drought conditions.

引用

页码：5282 / 5285

页数：4

共 50 条

[31] Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data
Wang, Jingui
Cheng, Dongjuan
Wu, Lihui
Yu, Xueyuan
SCIENTIFIC PROGRAMMING, 2022, 2022
[32] Monitoring of Historical Glacier Recession in Yulong Mountain by the Integration of Multisource Remote Sensing Data
Yue, Linwei
Shen, Huanfeng
Yu, Wei
Zhang, Liangpei
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (02) : 388 - 400
[33] Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications
Ghazaryan, Gohar
Krupp, Lena
Seyfried, Simon
Landgraf, Nele
Nendel, Claas
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (18) : 6372 - 6394
[34] The Application of Modified Perpendicular Drought Index (MPDI) Method in Drought Remote Sensing Monitoring
Zhang Hongwei
Chen Huailiang
Shen Shuanghe
Zou Chunhui
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY V, 2008, 7083
[35] Research and Analysis of the Drought Monitoring Based on the Remote Sensing Technology
Xu, Guangzhu
Song, Chunxian
Li, Chunlin
Liu, Yanmei
Yu, Haiyang
2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
[36] Monitoring Meteorological Drought in Southern China Using Remote Sensing Data
Liu, Li
Huang, Ran
Cheng, Jiefeng
Liu, Weiwei
Chen, Yan
Shao, Qi
Duan, Dingding
Wei, Pengliang
Chen, Yuanyuan
Huang, Jingfeng
REMOTE SENSING, 2021, 13 (19)
[37] A review of drought monitoring using remote sensing and data mining methods
Inoubli, Raja
Ben Abbes, Ali
Farah, Imed Riadh
Singh, Vijay
Tadesse, Tsegaye
Sattari, Mohammad Taghi
2020 5TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP'2020), 2020,
[38] Monitoring Spatiotemporal Vegetation Response to Drought Using Remote Sensing Data
Mirzaee, Salman
Nafchi, Ali Mirzakhani
SENSORS, 2023, 23 (04)
[39] Monitoring of Vegetation Drought Index in Laibin City Based on Landsat Multispectral Remote Sensing Data
Fan, Xiangsuo
Zhang, Yan
Chen, Lin
Li, Peng
Li, Qi
Zhao, Xueqiang
APPLIED SCIENCES-BASEL, 2024, 14 (19):
[40] A drought monitoring method in the Yellow River basin based on boundary extraction of remote sensing images
Liu, Yang
Shi, Xiaodong
Zhang, Ge
Zhao, Shaofeng
Wang, Ze
INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT, 2024, 27 (1-2) : 23 - 36

← 1 2 3 4 5 →