Monitoring the vegetation health over India during contrasting monsoon years using satellite remote sensing indices

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• 作者：Arnab Kundu ; Suneet Dwivedi ; Dipanwita Dutta
• 关键词：VCI ; TCI ; VHI ; SPI ; SWI ; Drought monitoring ; Monsoon ; Remote sensing
• 刊名：Arabian Journal of Geosciences
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：9
• 期：2
• 全文大小：40,638 KB
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• 作者单位：Arnab Kundu (1)
  Suneet Dwivedi (1) (2)
  Dipanwita Dutta (3)
  
  1. K Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Allahabad, UP, 211002, India
  2. M N Saha Centre of Space Studies, University of Allahabad, Allahabad, UP, 211002, India
  3. Department of Remote Sensing and GIS, Vidyasagar University, Midnapur, West Bengal, India
  
• 刊物类别：Earth and Environmental Science
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538

文摘

The detection and monitoring of drought-related vegetation stress over a large spatial area have become possible with the use of satellite-based remote sensing indices, namely, vegetation condition index (VCI) and temperature condition index (TCI). In particular, the water (precipitation)-related moisture stress during drought may be determined using the VCI, while the temperature-related stress using the TCI. An attempt is made here to investigate and demonstrate the importance of these indices over India during the contrasting monsoon years, 2009, 2010, and 2013, termed as meteorological drought, wet, and normal monsoon years, respectively. The overall health of the vegetation during these years is compared using the vegetation health index (VHI). The advantage of VHI over the VCI and TCI is also shown. An assessment of drought over India is then made using the combined information of VCI, TCI, and VHI. The occurrence of vegetative drought over Rajasthan, Gujrat, and Andhra Pradesh is confirmed using drought assessment index, which shows very low value (well below 40) during 2009 over these regions. The area-averaged time series indices as well as spatial maps over the state of Uttar Pradesh show higher thermal stress and poor vegetation health during 2009 as compared to 2010 and 2013. The standardized precipitation index (SPI) and standardized water-level index (SWI) are used to validate the results obtained using the remote sensing indices.