Journal of Food, Agriculture and Environment

NOAA AVHRR satellite data for evaluation of climatic variation and vegetation change in the Punjab Province, Pakistan

Author(s):

Farooq Ahmad

Recieved Date: 2011-11-28, Accepted Date: 2012-04-22

Abstract:

In the first decade of the new millennium, the climate of Pakistan underwent profound change, particularly in relation variations in temperature and precipitation. Compounding the effects of this has been changed in soil productivity and human intervention on land-use and land-cover. In this study, the climatic variation effects on phenology in vegetation change were measured using the Advanced Very High Resolution Radiometer (AVHRR) aboard a National Oceanic and Atmospheric Administration (NOAA) satellite. Monthly composite time-series data were used to evaluate and monitor the vegetation changes in the province of Punjab. The NOAA mission is to understand and predict changes in the earth’s environment conserve and manage resources to meet a nation’s economic, social and environmental needs. The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) Normalized Difference Vegetation Index (NDVI) data was collected from August 1981 to December 1998 by the University of Wales at Swansea. The mandate of the NDVI task is to produce operational AVHRR derived NDVI data for use in local climate investigations using the vegetation phenological profile. The NDVI is calculated with the data of channel 1 (0.58-0.68) and channel 2 (0.725-1.10) of the AVHRR sensor. It is a measure of the greenness of the vegetation in the range of –1.0 and +1.0. The first AVHRR channel is in a part of the spectrum where chlorophyll causes considerable absorption of incoming radiation, and the second channel is in a spectral region where spongy mesophyll leaf structure leads to considerable reflectance. This spectral metric is strongly related with the fraction of the incoming photosynthetically active radiation intercepted by green vegetation and it has been widely and satisfactorily used to describe the vegetation structure as well as its dynamics. 

Keywords:

AVHRR FASIR, climatic variation, NDVI, NOAA, phenology, sensor, spectrum

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Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 2
Category: Environment
Pages: 1298-1307

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