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The Utilization of MODIS and Landsat TMETM+for Cotton Fractional Yield Estimation in Burewala

Dr. Farooq Ahmad
Dr. Farooq Ahmad * §
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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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Kashif Shafique
Kashif Shafique
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Sajid Rashid Ahmad
Sajid Rashid Ahmad ‖
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§ University of the Punjab, New Campus, Lahore, Pakistan
‡ GIS Centre, PUCIT, University of the Punjab, Lahore,...
Forman Christian College (A Chartered University), L...
‖ Institute of Geology, University of the Punjab, New ...

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The Utilization of MODIS and Landsat TMETM+for Cotton Fractional Yield Estimation in Burewala

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Abstract

Estimates of crop yield are desirable for managing agricultural lands. Remote sensing is the one technology that can give an unbiased view of large areas, with spatially explicit information distribution and time repetition, and has thus been widely used to estimate crop yield and offers great potential for monitoring production, yet the uncertainties associated with large-scale crop yield estimates are rarely addressed. In this study, we tried to estimate cotton cropped area using the supervised classification; planting dates for 11 years (1998 to 2009) of Landsat imagery, and fractional yield using MODIS (Terra) the normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) in an intensive agricultural region of Burewala, Punjab province of Pakistan. Vegetation indices are widely used for assessing and monitoring ecological variables such as vegetation cover and above-ground biomass. Monitoring the spatial distribution of cotton yield helps identifying sites with yield constraints. The newly available satellite images from the MODIS sensor provide enhanced atmospheric correction, cloud detection, improved geo-referencing, comprehensive data quality control and the enhanced ability to monitor vegetation development. The high temporal resolution of the MODIS datasets can provide an efficient and consistent way for biomass and fractional yield monitoring and assessment. The reflected radiation provides an indication of the type and density of canopy. The condition, distribution, structure and the development of the vegetation through the phenological stages can affect the relation between yield and NDVI. The high spatial resolution Landsat images were applied to extract the area under cotton cultivation within the landscape and to determine the cotton fraction among other land uses within the coarse spatial resolution MODIS pixels.

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How to Cite This Article

Dr. Farooq Ahmad, Qurat-ul-ain Fatima, Hira Jannat Butt, Kashif Shafique, Sajid Rashid Ahmad. 1970. "The Utilization of MODIS and Landsat TMETM+for Cotton Fractional Yield Estimation in Burewala". Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 13 (GJHSS Volume 13 Issue 42 (B7)).

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords
cotton fractionCrop yieldEVILandsatMODIS datasetNDVIRemote Sensing
Classification
GJHSS-B Classification FOR Code: 059999
  • Submission ReceivedDecember 10, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2013
  • Published September 25, 2013
Version of record
v1.2

Issue date
September 25, 2013

Language
English
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The Utilization of MODIS and Landsat TMETM+for Cotton Fractional Yield Estimation in Burewala

Dr. Ahmad
Dr. Ahmad
  • Submission ReceivedDecember 10, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2013
  • Published September 25, 2013