Spectral Characteristics and Mapping of Rice Fields using Multi-Temporal Landsat and MODIS Data: A Case of District Narowal

Spectral Characteristics and Mapping of Rice Fields using Multi-Temporal Landsat and MODIS Data: A Case of District Narowal

Dr. Farooq Ahmad

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Qurat-ul-ain Fatima

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Hira Jannat Butt

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Shahid Ghazi

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Sajid Rashid Ahmad

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Ijaz Ahmad

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Shafeeq-Ur-Rehman

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Rao Mansor Ali Khan

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Abdul Raoof

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Samiullah Khan

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Farkhanda Akmal

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Kashif Shafique

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University of the Punjab

Spectral Characteristics and Mapping of Rice Fields using Multi-Temporal Landsat and MODIS Data: A Case of District Narowal

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Spectral Characteristics and Mapping of Rice Fields using Multi-Temporal Landsat and MODIS Data: A Case of District Narowal Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Availability of remote sensed data provides powerful access to the spatial and temporal information of the earth surface. Real-time earth observation data acquired during a cropping season can assist in assessing crop growth and development performance. As remote sensed data is generally available at large scale, rather than at field-plot level, use of this information would help to improve crop management at broad-scale. Utilizing the Landsat TM/ETM+ ISODATA clustering algorithm and MODIS (Terra) the normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) datasets allowed the capturing of relevant rice cropping differences. In this study, we tried to analyze the MODIS (Terra) EVI/NDVI (February, 2000 to February, 2013) datasets for rice fractional yield estimation in Narowal, Punjab province of Pakistan. For large scale applications, time integrated series of EVI/NDVI, 250-m spatial resolution offer a practical approach to measure crop production as they relate to the overall plant vigor and photosynthetic activity during the growing season. The required data preparation for the integration of MODIS data into GIS is described with a focus on the projection from the MODIS/Sinusoidal to the national coordinate systems. However, its low spatial resolution has been an impediment to researchers pursuing more accurate classification results and will support environmental planning to develop sustainable land-use practices. These results have important implications for parameterization of land surface process models using biophysical variables estimated from remotely sensed data and assist for forthcoming rice fractional yield assessment.

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How to Cite This Article

Dr. Farooq Ahmad. 2014. \u201cSpectral Characteristics and Mapping of Rice Fields using Multi-Temporal Landsat and MODIS Data: A Case of District Narowal\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 14 (GJHSS Volume 14 Issue B6).

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GJHSS Volume 14 Issue B6

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

EVI land use Landsat TM/ETM multi-spectral multitemporal NDVI Pakistan

Submission ReceivedDecember 10, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

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v1.2

Issue date

September 26, 2014

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Article Matrices

Total Score: 112

Country: Pakistan

Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management

Authors: Farooq Ahmad, Qurat-ul-ain Fatima, Hira Jannat Butt, Shahid Ghazi, Sajid Rashid Ahmad, Ijaz Ahmad, Shafeeq-Ur-Rehman, Rao Mansor Ali Khan, Abdul Raoof, Samiullah Khan, Farkhanda Akmal, Kashif Shafique (PhD/Dr. count: 0)

View Count (all-time): 207

Total Views (Real + Logic): 4439

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Publish Date: 2014 09, Fri

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Total Views: 4439

Total Downloads: 2409

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