Please use this identifier to cite or link to this item:
http://digitalrepository.fccollege.edu.pk/handle/123456789/1158
Title: | ectral Characteristics and Mapping of Rice Fields using Multi Temporal Landsat and MODIS Data: A Case of District Narowal |
Authors: | Ahmad, Farooq Fatima, Qurat-ul-ain Butt, Hira Jannat Ghazi, Shahid Ahmad, Sajid Rashid Ahmad, , Ijaz Rehman, Shafeeq-Ur- Khan, Rao Mansor Ali Raoof, Abdul Khan, Samiullah Akmal, , Farkhanda Luqman, Muhammad Raza, Ahmad Shafique, Kashif |
Keywords: | NDVI, EVI, Landsat TM/ETM+, land-use, multi-temporal, multi-spectral, Pakistan |
Issue Date: | 2014 |
Publisher: | Global Journals |
Citation: | Global jouanls; Volume 14 Issue 6 Version 1.0 Year 2014 ,, Online ISSN: 2249-460x & Print ISSN: 0975-587X |
Series/Report no.: | Global jouanls; Volume 14 Issue 6 Version 1.0 Year 2014; |
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. |
Description: | https://globaljournals.org/GJHSS_Volume14/5-Spectral-Characteristics-and-Mapping.pdf |
URI: | http://localhost:8080/xmlui/handle/123456789/1158 |
ISSN: | Online ISSN: 2249-460x & Print ISSN: 0975-587X |
Appears in Collections: | Geography Department |
Files in This Item:
File | Description | Size | Format | |
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5-Spectral-Characteristics-and-Mapping.pdf | 1.68 MB | Adobe PDF | View/Open |
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