Land capability classification in chemlui sub-watershed, Kolasib district, Mizoram using GIS and remote sensing techniques Lalhruaitluanga David B.1, Rinawma P.2, Rao Ch. Udaya Bhaskara3 1Research Scholar, Department of Geography & Resource Management, Mizoram University, Aizawl 2Professor, Department of Geography & Resource Management, Mizoram University, Aizawl 3Assistant Professor, Department of Geography & Resource Management, Mizoram University, Aizawl Online published on 30 June, 2017. Abstract Remote sensing provides the basic data to undertake inventory of land, as well as the temporal information required to monitor sustainable land management practices. There is a necessity to develop proper strategies or land capability classification which can frustrate these harmful effects on environment and to improve productivity of land. The study deals with the application of remote sensing and GIS for land capability classification in Chemlui sub-watershed, Kolasib District, Mizoram. In this paper, the current use of remote sensing for sustainable land management is reviewed, and the potential of future (new) satellite systems to contribute to sustainable development is explored. The inbuilt practice of shifting cultivation in this area has rendered extensive destruction of land resources and environmental conditions. For the present study, United State Department of Agriculture (USDA, 1973) classificationbased on parameters has been considered to define land capability classes. Indian Remote Sensing satellite data IRS P6 LISS-III image (2016) has been usedfor generating various Geographical Information System (GIS) layers with the help of ArcGIS 10.2.2 software. Integration of these with collected ground data resulted in creation of a wide-ranging of land capability for the study area. The study demonstrates that introduced GIS provide advantage to analyze multi-layer of data spatially and classify land based on its capability. The analysis reveals that land capability Classes of IIe, IIIe, IVe, VIe and VIIe are identified. This classification method and information will be very helpful for planning land utilization at sub-watershed level of a region. Top |