Land suitability analysis for rice cultivation based on multi-criteria decision approach through GIS, International Journal of Science & Emerging Technologies (original) (raw)
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Land Suitability Analysis for Rice Production: A GIS Based Multi-Criteria Decision Approach
American journal of geographic information system, 2015
This study focused on land suitability analysis to identify permissible areas suitable for rice crop production in west central highlands of Amhara Region, Ethiopia. The research applied GIS-based Multi-Criteria Decision Approach. Soil, climatic conditions, and topography were a criteria identified as necessary for the intended application. An Analytical Hierarchical Process (AHP) was used to rank the various suitability factors and the resulting weights were used to construct the suitability map layers using weighted sum overlay tool in ArcGIS 10.1 platforms. Then, the suitability map for rice crop production in the study area was formed. Accordingly, more than 70% of the total study area were found to be highly and modereately suitable for rice crop production. The relationship between suitability map and current vegetation cover of the study area has also been computed and the result predicts the inverse relationship between the density of vegetation cover and rice land suitability. Overall, the results indicate that the study area has a huge potential for rice production. Therefore, economic levels of agricultural production can be achieved by cultivating rice crop in highly and moderately suitable areas, and practicing diversification of marginally suitable areas to crops other than rice.
Land Suitability Assessment for Rice Cultivation Based on GIS Modeling
TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 2013
The main objective of this study was to develop a spatial model for land suitability assessment for rice (Oryza sativa L.) cultivation using geographic information system (GIS) techniques. The land mapping units, resulting from the overlay of the selected theme layers, have unique land quality information, on which land suitability is based. Results showed that 55.5% of the study area is highly or moderately suitable for rice cultivation, whereas 34% of that area is unsuitable for rice cultivation due to soil and topographic conditions. The model was also validated with field studies. According to the statistical analysis, there was a significant, positive relationship between land suitability classes and grain yields. Grain yield was significantly affected by land suitability class at the level of P < 0.001. The highest grain yield was obtained from rice plots in the S1 class (7287 kg ha-1), followed by S2 (6872 kg ha-1) and S3 (3928 kg ha-1) classes.
Journal of Basic & Applied Sciences, 2017
The objective of this research was to evaluate rice land suitability in Sindh, Pakistan, by designing GIS-based Multi-Criteria Decision Analysis (MCDA) spatial model to aggregate interdisciplinary aspects including factors of soil physical and chemical properties, ground water quality, soil pH, agro-ecological zones, canal command area and temperature. A constraint map of water bodies was also utilized in this model. On the basis of these parameters,standardized raster maps were created, and then Pair-Wise Comparison Matrix (PWCM) of Analytical Hierarchy Process (AHP) was developed to calculate significant weights by means of Principal Eigen vector by Saaty’s method, with accepted Consistency Ratio (CR) of 0.10. Furthermore, Multi-Criteria Evaluation (MCE) employing Weighted Linear Combination (WLC) aggregated all the suitability maps to yield rice land suitability map. Final output map of this work demonstrated 30.2% increase in area suitable for rice cultivation with an increased ...
2019
This study adopted a GIS-based multi-criteria decision approach in mapping the inherent qualities and potentials of land peculiar to rice cultivation in Oye-Ekiti. FAO framework was used as a guide in selecting variables for the land evaluation. An Analytical Hierarchical Process was used to assign weights to the selected factors with respect to their relative importance, while pairwise comparison was used to rank the factors. The priority generated was used to assign weights in ArcGIS 10.5 weighted overlay toolset in spatial analyst tool. The resulting weights are based on the principal eigenvector of the decision matrix. From the priority value derived from the pairwise comparison result, the criteria were reclassified according to their suitability level and weighted overlay toolset was used to merge the criteria from which the results were obtained. The study area was classified into three categories based on rice cultivation suitability, namely: Highly suitable-S1, moderately suitable-S2, marginally suitable-S3. The result indicates that that 18% (79.925 sq.km) of the total land area is highly suitable for cultivating rice, 70% (326.019 sq.km) is moderately suitable while 12% (57.725 sq.km) is marginally suitable. The study is a GIS-based multi-criteria decision-making approach in selecting the best rice cultivation site.
Maddahi Z., Jalalian A., Kheirkhah Zarkesh M.M., Honarjo N. (2016): Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran. Soil & Water Res. Land suitability analysis and preparing land use maps is one of the most beneficial applications of the Geographic Information System (GIS) in planning and managing land recourses. The main objective of this study was to develop a fuzzy multi-criteria decision making technique integrated with the GIS to assess suitable areas for rice cultivation in Amol District, Iran. Several suitability factors including soil properties, climatic conditions , topography, and accessibility were selected based on the FAO framework and experts' opinions. A fuzzy analytical hierarchical process (FAHP) was used to determine the weights of the various criteria. The GIS was used to overlay and generate criteria maps and a land suitability map. The study area has been classified into four categories of rice cultivation suitability (highly suitable, suitable, moderately suitable, and unsuitable). The present study has attempted to introduce and use the FAHP method to land suitability analysis and to select lands in order to be used as best as possible. Areas that are classified as highly suitable and suitable for rice cultivation constitute about 59.8% of the total area of the region. The results of the present research indicate that the FAHP is an efficient strategy to increase the accuracy of the weight of the criteria affecting the analysis of land suitability.
Crop-land suitability analysis using a multicriteria evaluation & GIS approach
… Graduate School of …, 2005
Crop-land suitability analysis is a prerequisite to achieve optimum utilization of the available land resources for sustainable agricultural production. One of the most important and urgent problems in Bangladesh is to improve agricultural land management and cropping patterns to increase the agricultural production with efficient use of land resources. In Bangladesh, agriculture is the mainstay of national economy and rice is the major food but the production is very low. In particular the rice production of Bangladesh does not meet the demands due to its rapidly growing population. The aim of this study is to determine physical land suitability for rice crop using a Multi-Criteria Evaluation (MCE) & GIS approach and to compare present land use vs. potential land use. The aim in integrating Multi-Criteria Evaluation with Geographical Information Systems (GIS) is to provide more flexible and more accurate decisions to the decision makers in order to evaluate the effective factors. The study was carried out in Haripur Upazila, Thakurgaon district of north-west part in Bangladesh. Relevant biophysical variables of soil and topography were considered for suitability analysis. All data were stored in Arc GIS 9.0 environment and the factor maps were generated. For Multi-Criteria Evaluation (MCE), Pairwise Comparison Matrix known as Analytical Hierarchy Process (AHP) was applied and the suitable areas for rice crop were identified. To generate present land use/cover map, Terra/ASTER 22 March 2003 satellite image was classified using ERDAS Imagine 8.7 by means of supervised classification. According to the present land use/cover map, the rice cultivated area was 6727.88
Environmental Monitoring and Assessment, 2022
Grains play a significant role in meeting the nutritional needs of the increasing world population. Consequently, the need for new studies on agricultural production and land suitability assessments has increased. The present paper aims to perform agricultural land suitability assessment to evaluate agricultural productivity in Tekirdağ province to determine precise productive agricultural areas. This study combines a variety of datasets to develop a dynamic model using GIS-based multi-criteria decision analysis for land suitability assessment and agricultural productivity. The datasets used in this study are supported by terrestrial samples and processed with spatial technologies. The results of the study indicate that the agricultural potential of the provincial lands is quite high. It reveals that 65.7% of province lands are suitable for agricultural production. Of the remaining lands, 20.3% is marginally suitable while only 8% of the land is unsuitable for agricultural production. In the northwestern part, suitable land for agricultural productivity is higher compared to other parts of the study area. This part also corresponds to the areas where industrial activities are marginal. The results also implies that agricultural activities in grain production areas must be reconsidered and re-planned according to the new classification of land suitability assessment. In this respect, our study suggests that the policymakers and the government should take necessary steps to ensure the protection and sustainability of agricultural lands while planning for the industrial and settlement development in grain production areas.
Journal of Geographic Information System, 2020
In Burkina Faso, rice consumption is currently common and increasing in both, rural and urban areas. Although several efforts have been made by the state to develop land for rice cultivation, the population's demand is still greater than the supply. Nevertheless, the country has great potential for rice cultivation. This study aims to analyze the suitability of land for rice cropping in the province of Nahouri. Field and satellite data were collected to map the rice crops developed areas. Furthermore, morphopedological, topographic, land use/cover, and accessibility to land data were collected and integrated into a Geographic Information System (GIS) based on simple Multi-Criteria Analysis (MCA). Land suitability for rice crop was performed. The results show that the total suitable area for rice cultivation in the province is 106,373 ha (28% of the province) where the most suitable areas cover 32,614 ha and the suitable areas cover 73,759 ha. Already 3144 ha of the province area had been developed for rice cultivation with 815 ha and 845 ha of most suitable and suitable areas respectively whereas more than 45% of the developed lands were not fit for the rice crop suitable land.
International Journal of Plant Production, 2017
Punjab, Pakistan is famous for rice production in all over the world, but economic indicators are low toward rice contribution in the regional economy. Climatic and physical factors are responsible for rice yield degradation. Suitable land for rice cultivation can be mapped keeping in view these climatic and physical factors. In this research, rice cultivation season was calculated using Moderate Resolution Imaging Spectro-radiometer (MODIS) time series datasets for the complete year 2014. Landsat 8 thermal datasets were obtained for the rice cultivation season and temperature based growth variability maps were generated. The total area under investigation was 13,657 km 2 out of which 931.61 km 2 (6.8%) was found to be least suitable, 3316.69 km 2 (24.2%) was moderately suitable, 6019.63 km 2 (44%) was highly suitable and 3395.28 km 2 (24.85%) was not suitable for rice crop cultivation. Results showed that highly suitable area was characterized by a temperature range between 21 and 32 °C, soil pH level between 5.5 and 7.2, soil type was < 78% clay and the soil was imperfectly drained. We compared land suitability map covering the complete land use with rice cultivated area only and found the results as follows: 592 km 2 (5.9%) rice cultivation was in least suitable, 4385 km 2 (44%) cultivation was in highly suitable, 2210 km 2 (23.2%) cultivation was in moderately suitable and 1674 km 2 (16.8%) cultivation was in not suitable regions. The techniques applied in this research may be used by local farmers to select cropping patterns and land suitability for rice crop.
Land evaluation procedure given by FAO for soil site suitability for various land utilization types has been used to assess the land suitability for different crops and for generating cropping pattern for kharif (summer) and rabi (winter) seasons in Kheragarah tehsil of Agra. Kheragarah tehsil suffers from many types of land degradation such as such as salinity, watelogging, ravines, degraded hills and rock quarries (AIS & LUS, 2000). The database on soil, land use/land cover was generated from data derived from IRS -P6 remote sensing satellite and soil survey to perform an integrated analysis in the geographic information system environment. Agricultural and non-agricultural lands were delineated using the Decision Tree Classifier (DTC) and non-agricultural areas were masked for removal from future analysis. Different soil chemical parameters and physical parameters were evaluated for different crops. Subsequently all of them were integrated using a multi criteria decision making and GIS to generate the land suitability maps for various crops. Kharif and rabi season cropping patterns maps were developed by integrating crop suitability maps for the winter and summer seasons separately. Results indicated that about 55 % is highly suitable (S1) for sugarcane and 60%, 54% and 48 % of the area are moderately suitable (S2) for cultivation pearl millet, mustard and rice respectively. 50 % of the area is found to be marginally suitable (S3) for growing maize. It was also found that better land use options could be implemented in different land units as the conventional land evaluation methods suffer from limitation of spatial analysis for the suitability of various crops.