NOAA AVHRR NDVI/MODIS NDVI PredActs PotentAal to Forest Resource Management in Aatalca DAstrAct of Turkey

Article ID

2B591

NOAA AVHRR NDVI/MODIS NDVI PredActs PotentAal to Forest Resource Management in Aatalca DAstrAct of Turkey

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

Abstract

Çatalca, located on the ridge between the Marmara and the Black Sea, is a rural district of Istanbul having the temperate climate. Landuse involves farming and forestry. This study makes a contribution and revises the applicability of two medium spatial resolution satellite sensors, NOAA AVHRR NDVI and MODIS (Terra) NDVI, for prediction to potential forest resource management in Çatalca district of Turkey on various spatial scales. The NOAA AVHRR NDVI sensor was chosen in view of its unique value for long-term climate impact studies. The MODIS (Terra) sensor, as a newer generation sensor specifically designed for, inter alia, terrestrial applications, since it provides the opportunity for observations at higher spatial and spectral resolution compared to NOAA AVHRR (NDVI). The required data preparation for the integration of MODIS data into GIS is described with a focus on the projection from the MODIS/Sinusoidal projection to the national coordinate systems. However, its low spatial resolution has been an impediment to researchers pursuing more accurate classification results. This paper summarizes a set of remote sensing applications of NOAA AVHRR NDVI/MODIS (Terra) NDVI datasets in estimation and monitoring of seasonal and inter annual ecosystem dynamics which were designed for forest resource management and can be implemented over Turkey.

NOAA AVHRR NDVI/MODIS NDVI PredActs PotentAal to Forest Resource Management in Aatalca DAstrAct of Turkey

Çatalca, located on the ridge between the Marmara and the Black Sea, is a rural district of Istanbul having the temperate climate. Landuse involves farming and forestry. This study makes a contribution and revises the applicability of two medium spatial resolution satellite sensors, NOAA AVHRR NDVI and MODIS (Terra) NDVI, for prediction to potential forest resource management in Çatalca district of Turkey on various spatial scales. The NOAA AVHRR NDVI sensor was chosen in view of its unique value for long-term climate impact studies. The MODIS (Terra) sensor, as a newer generation sensor specifically designed for, inter alia, terrestrial applications, since it provides the opportunity for observations at higher spatial and spectral resolution compared to NOAA AVHRR (NDVI). The required data preparation for the integration of MODIS data into GIS is described with a focus on the projection from the MODIS/Sinusoidal projection to the national coordinate systems. However, its low spatial resolution has been an impediment to researchers pursuing more accurate classification results. This paper summarizes a set of remote sensing applications of NOAA AVHRR NDVI/MODIS (Terra) NDVI datasets in estimation and monitoring of seasonal and inter annual ecosystem dynamics which were designed for forest resource management and can be implemented over Turkey.

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

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Dr. Farooq Ahmad. 1969. “. Global Journal of Science Frontier Research – H: Environment & Environmental geology GJSFR-H Volume 12 (GJSFR Volume 12 Issue H3): .

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR Volume 12 Issue H3
Pg. 29- 46
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NOAA AVHRR NDVI/MODIS NDVI PredActs PotentAal to Forest Resource Management in Aatalca DAstrAct of Turkey

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

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