Phenologically-Tuned MODIS NDVI-Based Time Series (2000-2012) For Monitoring Of Vegetation and Climate Change in North-Eastern Punjab, Pakistan

Dr. Farooq Ahmad
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§ University of the Punjab, New Campus, Lahore, Pakistan.

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Phenologically-Tuned MODIS NDVI-Based Time Series (2000-2012) For Monitoring Of Vegetation and Climate Change in North-Eastern Punjab, Pakistan

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Abstract

One of the main factors determining the daily variation of the active surface temperature is the state of the vegetation cover. It can well be characterized by the Normalized Difference Vegetation Index (NDVI). The NDVI has the potential ability to signal the vegetation features of different eco-regions and provides valuable information as a remote sensing tool in studying vegetation phenology cycles. The vegetation phenology is the expression of the seasonal cycles of plant processes and contributes vital current information on vegetation conditions and their connections to climate change. The NDVI is computed using near-infrared and red reflectances, and thus has both an accuracy and precision. A gapless time series of MODIS NDVI (MOD13A1) composite raster data from 18th February, 2000 to 16th November, 2012 with a spatial resolution of 500 m was utilized. Time-series terrestrial parameters derived from NDVI have been extensively applied to global climate change, since it analyzes each pixel individually without the setting of thresholds to detect change within a time series.

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How to Cite This Article

Dr. Farooq Ahmad. 2013. "Phenologically-Tuned MODIS NDVI-Based Time Series (2000-2012) For Monitoring Of Vegetation and Climate Change in North-Eastern Punjab, Pakistan". Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 12 (GJHSS Volume 12 Issue B13).

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Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords
ClimateMODISNDVIRemote Sensingtime seriesvegetation phenology
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GJHSS-B Classification FOR Code: 630205p
770101p
  • Submission ReceivedJune 9, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted July 5, 2012
  • Published July 15, 2012
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January 10, 2013

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English
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Phenologically-Tuned MODIS NDVI-Based Time Series (2000-2012) For Monitoring Of Vegetation and Climate Change in North-Eastern Punjab, Pakistan

Dr. Ahmad
Dr. Ahmad University of the Punjab, New Campus, Lahore, Pakistan.
Dr. Ahmad
Dr. Ahmad
  • Submission ReceivedJune 9, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted July 5, 2012
  • Published July 15, 2012