A research on drought monitoring model by remote sensing in the east part of Weibei of Shaanxi Province

被引:0
|
作者
Li, XM [1 ]
Liu, AL [1 ]
机构
[1] Remote Sensing Informat Ctr Agr Shaanxi Province, Xian 710015, Peoples R China
来源
关键词
remote sensing; drought; model;
D O I
10.1117/12.466743
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The east part of Weibei of Shaanxi province was situated in Loess Plateau, semi-arid and and region. The soil texture of this area is very loose and easy to cultivate, so it is an important planting crops area. In this area, the change of precipitation is very large, the drought often come about, so dynamic monitoring the range and extent of drought will have important significance. This area has so much gully that the topography is very complex. On the basis of crops' growing period, this study have established a remote sensing drought monitoring model for this area by using data of NOAA/AVHRR and the meteorological observation data through applying stepwise regression method. This model has been used to dynamically monitor the spring drought in 2002. The monitoring results show that the model can express the spatial distribution with different drought levels, as well as various drought degree. The multiple correlation coefficient of drought monitoring result and the relative moisture of the soil run up to above 0.9. and the accuracy of the estimations of drought in this area is higher than only using thermal inertia method or vegetation supply water index method. The model has better prospect in applying.
引用
收藏
页码:28 / 36
页数:9
相关论文
共 50 条
  • [31] Drought Risk Assessment and Monitoring of Ilocos Norte Province in the Philippines Using Satellite Remote Sensing and Meteorological Data
    Alonzo, Christian Albert
    Galabay, Joanna Mae
    Macatangay, Margadrew Nicole
    Magpayo, Mark Brianne
    Ramirez, Ryan
    AGRIENGINEERING, 2023, 5 (02): : 720 - 739
  • [32] The Study of Dynamic Monitor of Rice Drought in Jiangxi Province with Remote Sensing
    Zhang Xiu-Ping
    Li Rong-Fang
    Lei Sheng
    Fu Qun
    Wang Xiao-Xiao
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT B, 2011, 10 : 1847 - 1853
  • [33] Drought loss assessment combining remote sensing and a crop growth model for maize in Yunnan Province, China
    Gao, Maofang
    Li, Zhao-Liang
    Liu, Sanchao
    Gao, Ya
    Leng, Pei
    Duan, Sibo
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (5-6) : 2151 - 2165
  • [34] Study on Summer Maize Yield Responses to Remote Sensing Drought Indices in Henan Province with GWR Model
    Wang, Yan
    Wang, Hongshuo
    Yang, Weizhong
    Li, Yuan
    2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2019,
  • [35] Research on and Inheriting the Cultural Identity of the Rural Settlement in Northern Part of Shaanxi Province
    Yang, Haohong
    Han, Yi
    Wang, Shaorui
    ADVANCES IN CIVIL ENGINEERING AND ARCHITECTURE INNOVATION, PTS 1-6, 2012, 368-373 : 3465 - +
  • [36] Advance in Agricultural Drought Monitoring Using Remote Sensing Data
    Yao Yuan
    Chen Xi
    Qian Jing
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39 (04) : 1005 - 1012
  • [37] Summary of Agricultural Drought Monitoring by Remote Sensing at Home and Abroad
    Wang, Meng
    Liu, Tao
    Ling, Shouzhen
    Sui, Xueyan
    Yao, Huimin
    Hou, Xuehui
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II, 2019, 546 : 13 - 20
  • [38] Evaluation of Utilization of Satellite Remote Sensing Data for Drought Monitoring
    Won, Jeongeun
    Son, Youn-Suk
    Lee, Sangho
    Kong, Limseok
    Kim, Sangdan
    KOREAN JOURNAL OF REMOTE SENSING, 2021, 37 (06) : 1803 - 1818
  • [39] Application of Remote Sensing and GIS in Drought and Flood Assessment and Monitoring
    Huang, Yaohuan
    Liu, Yesen
    Shi, Runhe
    Ren, Hongyan
    WATER, 2023, 15 (03)
  • [40] Integrated remote sensing approach to global agricultural drought monitoring
    Sanchez, Nilda
    Gonzalez-Zamora, Angel
    Martinez-Fernandez, Jose
    Piles, Maria
    Pablos, Miriam
    AGRICULTURAL AND FOREST METEOROLOGY, 2018, 259 : 141 - 153