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Using NDVI-based measures to derive ...

Gurusamy, Kumari Vadivel.

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Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries./
Author:	Gurusamy, Kumari Vadivel.
Description:	95 p.
Notes:	Adviser: Floyd Henderson.
Contained By:	Dissertation Abstracts International67-03B.
Subject:	Geotechnology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3209589
ISBN:	9780542581724

Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries.
Gurusamy, Kumari Vadivel.

Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries. - 95 p.

Adviser: Floyd Henderson.

Thesis (Ph.D.)--State University of New York at Albany, 2006.

Remotely sensed NDVI imagery was used to detect drought in developing countries in three continents. The study shows that in spite of the various limitations the NDVI data provide valuable information on drought probabilities due to their significant correlation with rainfall time series (0.4 - 0.7). NDVI data are also accessible at different resolutions (1 degree, 8 km and 1 km) at a global scale in spatiotemporally continuous form for up to 19 years enabling this study to contribute a uniform and simultaneous analysis of drought in poor developing countries. The current study is also done with due consideration to the ecosystem underlying the pixel. Special consideration for the ecosystem is achieved by holding the temporal and spatial identity intact throughout the analysis. The study uses NDVI data from 19 years for a vigorous and quick estimate, using a new method called the 'percent carrying capacity index' method which is shown to perform better than the 'vegetation condition index' method. For a few selected geographic areas, the computed image analysis results were verified against actual occurrence of drought. The image analysis results were found to be consistent with reality in those cases, validating the analysis results for areas for which drought observations have not been recorded. The final continental scale drought maps show the frequently drought-prone areas derived from uniform spatial (8km * 8km) and temporal (decadal) resolution data across three continents.

ISBN: 9780542581724Subjects--Topical Terms:

1018558
Geotechnology.

Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries.
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100 1 $a Gurusamy, Kumari Vadivel. $3 1288173
245 1 0 $a Using NDVI-based measures to derive geographic information on drought-prone areas for developing countries.
300 $a 95 p.
500 $a Adviser: Floyd Henderson.
500 $a Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1683.
502 $a Thesis (Ph.D.)--State University of New York at Albany, 2006.
520 $a Remotely sensed NDVI imagery was used to detect drought in developing countries in three continents. The study shows that in spite of the various limitations the NDVI data provide valuable information on drought probabilities due to their significant correlation with rainfall time series (0.4 - 0.7). NDVI data are also accessible at different resolutions (1 degree, 8 km and 1 km) at a global scale in spatiotemporally continuous form for up to 19 years enabling this study to contribute a uniform and simultaneous analysis of drought in poor developing countries. The current study is also done with due consideration to the ecosystem underlying the pixel. Special consideration for the ecosystem is achieved by holding the temporal and spatial identity intact throughout the analysis. The study uses NDVI data from 19 years for a vigorous and quick estimate, using a new method called the 'percent carrying capacity index' method which is shown to perform better than the 'vegetation condition index' method. For a few selected geographic areas, the computed image analysis results were verified against actual occurrence of drought. The image analysis results were found to be consistent with reality in those cases, validating the analysis results for areas for which drought observations have not been recorded. The final continental scale drought maps show the frequently drought-prone areas derived from uniform spatial (8km * 8km) and temporal (decadal) resolution data across three continents.
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