Abstract
Land suitability analysis is essential for a vineyard to increase its production and productivity under the dry conditions due to climate change. In this context, the purpose of this chapter is to determine the suitable locations for vineyards based on satellite remote sensing and GIS (geographical information system) to assess the suitability of land and least suitable land to support the vineyard growers for subsidy allocation. In this regard, the Landsat 8 operational land imager (OLI) and thermal infrared sensor (TIRS) and digital elevation (DM) shuttle radar topography mission (SRTM) images were processed to obtain the normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), land surface temperature (LST), and topographic maps (elevation, aspect, and slope). Moreover, JAXA rainfall information (mm per hour) and soil properties were used to incorporate climatic and soil conditions. Besides, socioeconomic information was collected through field surveys in Kabul Province in order to develop the vineyard suitability map. Finally, the suitable classes were determined using a weighted overly method based on the analytical hierarchy overlay process (AHP). The combined (physical and socioeconomic) suitability results indicated that highly suitable (12.9%), moderately suitable (25.5%), marginally suitable (28.5%), and not suitable lands (32.9%) were reported for grapes production in Kabul Province. The suitability models also indicated that 175.46 ha of vineyards out of 10599.96 ha of vineyards were located in marginal and not suitable areas. This research can support decision-makers, stakeholders, and growers with precise land assessments by identifying the main limiting criterion for producing table grape management. Furthermore, GIS analysis determined the vineyard growers from marginal and not suitable areas for providing support of subsidy to improve their livelihoods.
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Acknowledgments
We would like to thank the United States Geological Survey (USGS) for providing the satellite datasets and the Japan Aerospace Exploration Agency (JAXA) for making rainfall datasets available globally for students and researchers. In addition, we would like to thank FAO for the land cover map and a group of farmers and a faculty member of Kabul University for their help during the ground-truth data collection in Kabul Province. The authors are thankful to the More Jobs Better Lives (MJBL) Foundation for providing scholarships to pursue this research at the University of Tsukuba.
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Arab, S.T., Salari, T., Noguchi, R., Ahamed, T. (2022). Land Suitability Analysis for Grape (Vitis vinifera L.) Production Using Satellite Remote Sensing, GIS, and Analytical Hierarchy Process. In: Ahamed, T. (eds) Remote Sensing Application. New Frontiers in Regional Science: Asian Perspectives, vol 59. Springer, Singapore. https://doi.org/10.1007/978-981-19-0213-0_6
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