Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method

被引:2
作者
Liang, Shouzhen [1 ,2 ]
Liu, Tao [1 ,2 ]
Chen, Zhen [3 ]
Sui, Xueyan [1 ,2 ]
Hou, Xuehui [1 ,2 ]
Wang, Meng [1 ,2 ]
Yao, Huimin [1 ,2 ]
机构
[1] Shandong Inst Agr Sustainable Dev, Jinan, Peoples R China
[2] Minist Agr, Key Lab East China Urban Agr, Jinan, Peoples R China
[3] Weifang Bur Land Resources, Weifang, Peoples R China
来源
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I | 2019年 / 545卷
关键词
Remote sensing; Drought; NDVI; Temperature; SURFACE; INDEX; EMISSIVITY;
D O I
10.1007/978-3-030-06137-1_12
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Drought has an important impact to agriculture, and its monitoring is very necessary for many regions subjected to drought in Shandong province. Gaomi city of Shandong was chosen as a study area to probe remote sensing monitoring method of drought. Landsat8 satellite data and soil volumetric moisture content data from filed investigation were used. Temperature- vegetation method was adopted to monitor drought in the study area. The results showed that land surface temperature was negatively related to NDVI. Temperature vegetation dryness index (TVDI) had a significant correlation with soil water content. TVDI can reflect the drought in the study. It suggests that TVDI can be used as a effective index to monitor drought in the study area.
引用
收藏
页码:116 / 125
页数:10
相关论文
共 50 条
[41]   Landsat 8 Remote Sensing Image Based on Deep Residual Fully Convolutional Network [J].
Zhang Jiaqiang ;
Li Xiaoyan ;
Li Liyuan ;
Sun Pengcheng ;
Su Xiaofeng ;
Hu Tingliang ;
Chen Fansheng .
LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (10)
[42]   Research and Design of Drought Remote Sensing Monitoring System Based on the ArcGIS Geoprocessing [J].
Xu, Yongjin ;
Yang, Shiqi ;
Gao, Yanghua .
MIPPR 2013: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2013, 8921
[43]   Remote Sensing-based Agricultural Drought Monitoring using Hydrometeorological Variables [J].
Chanyang Sur ;
Seo-Yeon Park ;
Tae-Woong Kim ;
Joo-Heon Lee .
KSCE Journal of Civil Engineering, 2019, 23 :5244-5256
[44]   Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China [J].
Zhang, Yu ;
Liu, Xiaohong ;
Jiao, Wenzhe ;
Zeng, Xiaomin ;
Xing, Xiaoyu ;
Zhang, Lingnan ;
Yan, Jianwu ;
Hong, Yixue .
ATMOSPHERIC RESEARCH, 2021, 264
[45]   Improving NDVI by removing cirrus clouds with optical remote sensing data from Landsat-8 - A case study in Quito, Ecuador [J].
Alvarez-Mendoza, Cesar, I ;
Teodoro, Ana ;
Ramirez-Cando, Lenin .
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2019, 13 :257-274
[46]   Remote-Sensing Drought Monitoring in Sichuan Province from 2001 to 2020 Based on MODIS Data [J].
Chen, Yuxin ;
Yang, Jiajia ;
Xu, Yuanyuan ;
Zhang, Weilai ;
Wang, Yongxiang ;
Wei, Jiaxuan ;
Cheng, Wuxue .
ATMOSPHERE, 2022, 13 (12)
[47]   Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh [J].
Das, Ashim C. ;
Shahriar, Shihab A. ;
Chowdhury, Md A. ;
Hossain, Md Lokman ;
Mahmud, Shahed ;
Tusar, Md Kamruzzaman ;
Ahmed, Romel ;
Salam, Mohammed Abdus .
HELIYON, 2023, 9 (02)
[48]   Remote Sensing Drought Monitoring Under Dense Vegetation Cover Condition Based on Perpendicular Drought Index [J].
Li, Zhe ;
Tan, Debao ;
Cui, Yuanlai ;
Zhang, Sui .
2009 17TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, VOLS 1 AND 2, 2009, :212-+
[49]   AN ASSESSMENT OF SURFACE SOIL MOISTURE BASED ON IN SITU OBSERVATIONS AND LANDSAT 8 REMOTE SENSING DATA [J].
Ma, Chunya ;
Wang, Jinglei ;
Chen, Zhen ;
Chen, Zhifang ;
Liu, ZhanDong ;
Huang, Xiuqiao .
FRESENIUS ENVIRONMENTAL BULLETIN, 2017, 26 (11) :6848-6856
[50]   AN ASSESSMENT OF SURFACE SOIL MOISTURE BASED ON IN SITU OBSERVATIONS AND LANDSAT 8 REMOTE SENSING DATA [J].
Ma, Chunya ;
Wang, Jinglei ;
Chen, Zhen ;
Chen, Zhifang ;
Liu, ZhanDong ;
Huang, Xiuqiao .
FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (5A) :3236-3244