Identification of Potential Sites for Rice Plant Growth using Multi Criteria Decision (MCE) Technique Through Remote Sensing and GIS

Author:

Mahmood Faiza1,Saifullah Muhammad1,Zafar Memoona2,Saman Shazma2,Yasmeen Sumira2,Karamat Awais1,Tanveer Syed Usman1

Affiliation:

1. University of the Punjab Lahore

2. Kohat University of Science and Technology

Abstract

Rice is one of major corps grown in Pakistan. It is considered as the backbone of Pakistan’s economy. Almost all the rural population of Pakistan is involved in rice preparation from its germination to final harvest. Although its contribution is less in Gross Domestic Product (GDP) of Pakistan, however efforts are on the way to enhance its productivity. The land of Punjab Pakistan produces rice of export quality which is famous throughout the world. Rice crop growth promoting parameters are considered essential to achieve high yield e.g., temperature, humidity, pressure, soil pH, soil type, drainage and electric conductivity. We used Multi-Criteria decision analysis to map temperature base and soil-based rice friendly zones. The results show that the total area under investigation was 3151km2, out of which 2075 km2 was observed highly suitable, 772 km2 was moderately suitable and 303 km2 was not suitable for rice cultivation. On ground validation, it was observed that the areas which were not suitable for rice cultivation, were actually urban area. The urban areas had high temperatures due to anthropogenic activities and fossil fuel emissions. Remote sensing and GIS techniques proved efficient in mapping the suitability zones for rice crop.

Publisher

50Sea

Reference17 articles.

1. Mostafa K Malesh et al., 2016 “Development of Remote Sensing Based Rice Yield Forecasting Model” Spanish Journal of Agricultural Research. 14,2.

2. Pakistan Bureau of Statistics, 2015. Pakistan Bureau of Statistics report 2015 (http://www.pbs.gov.pk/content/monthly-bulletin-statistics-october-2015)

3. Zeinab Maddahi et al; 2014. “Land suitability analysis for rice cultivation using multi criteria evaluation approach and GIS” European Journal of Experimental Biology, 4(3),639-648.

4. Mustafa AA, Man S, Sahoo RN, Nayan A, Manoj K and Sarangi A, Mishra AK., 2011. Land suitability analysis for different crops. A multi criteria decision making approach using remote sensing and GIS. Indian Agricultural Research Institute, New Delhi-110-112.

5. Addeo G, Guastadisegni G, Pisante M 2001. Land and water quality for sustainable and precision farming. I World Congress on Conservation Agriculture, Madrid.

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