Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1995, Vol. 7 Issue (4) : 45-50     DOI: 10.6046/gtzyyg.1995.04.08
Technology and Methodology |
USING METEOROLOGICAL SATELLITE’S VIC TO MONITOR SOIL STATE
Cai Bin, Lu Wenjie, Zhang Xinjiang
National Satellite Meteorology Center, Beijing 100081
Download: PDF(902 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  In this paper, the soil state was investigated by using the Vegetation Condition index (VCI). The procedure of modifing the Normalized Difference Vegetation Index (NDVI) into the VCI by using NOAA satellite AVHRR 1985-1991 data was presented. By the comparison between the VCI and the conventional data, the vegetation chang caused by large scale drought or flood may by indicated. The results show that the meteorological satellite data are more suitable for drought or flood monitoring in China.
Keywords MODIS      Photochemical pollution      Aerosol optical depth(AOD)      Advanced warning       system      Advanced warning grade     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
XIA Li-Hua
WANG De-Hui
WANG Fang
ZHENG Kang-Le
Cite this article:   
XIA Li-Hua,WANG De-Hui,WANG Fang, et al. USING METEOROLOGICAL SATELLITE’S VIC TO MONITOR SOIL STATE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(4): 45-50.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1995.04.08     OR     https://www.gtzyyg.com/EN/Y1995/V7/I4/45


[1] Felix N Kogan. Monitoring Droughts from Space. NOAA/NESDIS. 1991



[2] 肖乾广,陈维英.用NOAA/AVHRR资料监侧土城湿度.遥感信息,1990,(1)



[3] The NIMBUSs User's Guide. NASS/GSFC. 1972
[1] HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[2] ZHANG Aizhu, WANG Wei, ZHENG Xiongwei, YAO Yanjuan, SUN Genyun, XIN Lei, WANG Ning, HU Guang. A hierarchical spatial-temporal fusion model[J]. Remote Sensing for Natural Resources, 2021, 33(3): 18-26.
[3] WANG Qingchuan, XI Yantao, LIU Xinran, ZHOU Wen, XU Xinran. Spatial-temporal response of ecological service value to land use change: A case study of Xuzhou City[J]. Remote Sensing for Natural Resources, 2021, 33(3): 219-228.
[4] WEI Geng, HOU Yuqiao, ZHA Yong. Analysis of aerosol type changes in Wuhan City under the outbreak of COVID-19 epidemic[J]. Remote Sensing for Natural Resources, 2021, 33(3): 238-245.
[5] BI Weihua, ZHAO Xingtao, YANG Huachao, BIAN Hefang, ZHANG Qiuzhao. Research on smartphone based UAV low-altitude oblique photogrammetry system and its applications[J]. Remote Sensing for Land & Resources, 2021, 33(2): 248-255.
[6] WEI Geng, HOU Yuqiao, HAN Jiamei, ZHA Yong. The estimation of PM2.5 mass concentration based on fine-mode aerosol and WRF model[J]. Remote Sensing for Land & Resources, 2021, 33(2): 66-74.
[7] CHEN Baolin, ZHANG Bincai, WU Jing, LI Chunbin, CHANG Xiuhong. Historical average method used in MODIS image pixel cloud compensation: Exemplified by Gansu Province[J]. Remote Sensing for Land & Resources, 2021, 33(2): 85-92.
[8] JING Guifei. Analysis of impact of open science on the construction of Global Earth Observation System of Systems[J]. Remote Sensing for Land & Resources, 2020, 32(4): 1-7.
[9] YANG Huan, DENG Fan, ZHANG Jiahua, WANG xueting, MA Qingxiao, XU Nuo. A study of information extraction of rape and winter wheat planting in Jianghan Plain based on MODIS EVI[J]. Remote Sensing for Land & Resources, 2020, 32(3): 208-215.
[10] Jingjin HUANG, Changzeng TANG, Yi LI, Tianhui ZUO, Zhengbei YANG. System construction for survey and monitoring of natural resources in Guangxi[J]. Remote Sensing for Land & Resources, 2020, 32(2): 154-161.
[11] Gang DENG, Zhiguang TANG, Chaokui LI, Hao CHEN, Huanhua PENG, Xiaoru WANG. Extraction and analysis of spatiotemporal variation of rice planting area in Hunan Province based on MODIS time-series data[J]. Remote Sensing for Land & Resources, 2020, 32(2): 177-185.
[12] Kailun JIN, Lu HAO. Evapotranspiration estimation in the Jiangsu-Zhejiang-Shanghai Area based on remote sensing data and SEBAL model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 204-212.
[13] Bing ZHAO, Kebiao MAO, Yulin CAI, Xiangjin MENG. Study of the temporal and spatial evolution law of land surface temperature in China[J]. Remote Sensing for Land & Resources, 2020, 32(2): 233-240.
[14] Zhouyang XU. Spatial-temporal dynamics of ecosystem health in Sichuan Province based on PSR model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 251-258.
[15] Yiqiang SHI, Qiuqin DENG, Jun WU, Jian WANG. Regression analysis of MODIS aerosol optical thickness and air quality index in Xiamen City[J]. Remote Sensing for Land & Resources, 2020, 32(1): 106-114.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech