Abstract
Abstract. Urbanization is occurring at a fast rate in India. Population residing in urban areas was 11.4% according to the Census of 1901. This percentage has gradually increased to 31.16% according to the Census of 2011. Conversion of agricultural land into non-agricultural uses is the major side effect of urbanization. The objective of this paper is to identify the changes in the agriculture land and its conversion into other Land Use Land Cover (LULC) type. In order to achieve this objective, mapping of land use changes is done by using the GIS and remote sensing. This study utilizes satellite images along with field survey and statistical data to detect the change of farming land into other LULC type in different tehsils of Allahabad district. This study is carried out over the time period of 18 years that ranges from 2000 to 2018. This work provides the detail of expansion and shrinkage of agriculture and open land at tehsil level. Landsat data is used in this work which is open source and freely downloadable. Landsat images of study period i.e. from 2000 to 2018 are downloaded and then preprocessed. Supervised classification of images is performed using Gaussian maximum likelihood technique. The training samples are collected with the help of ground truth information. After this, identification of land use changes is done on pixel by pixel basis. This would find out the LULC class which is primary responsible for the shrinkage of agriculture land. This spatio-temporal and statistical research work will help to construct a base for a sustainable development model.
Highlights
Indian economy majorly depends upon the agriculture
The aim of this paper is to investigate the agriculture and open land changes occurred in Allahabad district due to rapid urbanisation from year 2000 onwards using satellite image processing
On the basis of this classification it is concluded that there is a constant reduction in the agriculture and open land use area
Summary
Indian economy majorly depends upon the agriculture. India is considered as the agricultural country (Brien et al, 2004). GIS and remote sensing can be used to support the agriculture. Several papers were found where these techniques are utilised in agriculture. Ray and Dadhwal (2001) have applied remote sensing and GIS to compute evapotranspiration in disease free crops. Other applications of GIS and remote sensing in the field of agriculture are land capability evaluation, assessment of crop damage and crop management (Huang et al, 2018; Kabanda, 2015). LULC classification is used in various applications that can be related to agriculture (Gibril et al, 201s6), environment (Jiang et al, 2015) and urban growth (Wang and Maduako, 2018)
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