Detection of Change in Vegetation Cover Using Multi-Spectral and Multi-Temporal Information for District Sargodha

Dr. Farooq Ahmad
Dr. Farooq Ahmad * §
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Kashif Shafique
Kashif Shafique
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Qurat-ul-ain Fatima
Qurat-ul-ain Fatima
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Hira Jannat Butt
Hira Jannat Butt
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§ University of the Punjab University of the Punjab

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Detection of Change in Vegetation Cover Using Multi-Spectral and Multi-Temporal Information for District Sargodha

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Background

Abstract

Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized differ- rence vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multi-temporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha. The results can be utilized as a temporal landuse change model for Punjab province of Pakistan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Farooq Ahmad, Kashif Shafique, Qurat-ul-ain Fatima, Hira Jannat Butt. . "Detection of Change in Vegetation Cover Using Multi-Spectral and Multi-Temporal Information for District Sargodha". Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 13 (GJHSS Volume 13 Issue 2 (B1)).

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords
EVIhange detectionLandsatmulti-spectralmulti-temporalNDVIPakistan
Classification
GJHSS-B Classification FOR Code: 630205
  • Submission ReceivedDecember 7, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2013
  • Published January 15, 2013
Version of record

v1.2

Issue date
January 21, 2013

Language
English
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Detection of Change in Vegetation Cover Using Multi-Spectral and Multi-Temporal Information for District Sargodha

Dr. Ahmad
Dr. Ahmad University of the Punjab
Farooq Ahmad
Farooq Ahmad
Kashif Shafique
Kashif Shafique
Qurat-ul-ain Fatima
Qurat-ul-ain Fatima
Hira Jannat Butt
Hira Jannat Butt
  • Submission ReceivedDecember 7, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2013
  • Published January 15, 2013