Analysis and Modeling of Agricultural Land use using Remote Sensing and Geographic Information System: a Review

GIS, remote sensing and Global positioning System are the most widely useful tools for land use planning and decision support system. Remotely sensed imagery is beneficial for agricultural production. It gives the accurate information of agricultural activities such as different crop identification and classification, crop condition monitoring, crop growth, crop area and yield estimation, mapping of soil characteristics and precision farming. Information from remotely sensed imagery, geographic information system and global positioning system allows farmers to carry only affected areas of a field. Problems within the field may be identified before they create a big problem in the agricultural production using remotely sensed images. This paper attempts to review different techniques for various applications of GIS and Remote sensing for land use/land cover change detection, crop identification and classification, crop condition monitoring, crop growth, crop area and yield estimation, mapping of soil characteristics and precision farming. Thus implementating GIS and RS for better production of the crops as well as land use/land cover change detection can be achieved.