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The Role of Remote Sensing and GIS to Support Grassland Identification. Case Study: East Sumba Regency, East Nusa Tenggara Province, Indonesia
Watuwaya B.K.
Aip Conference Proceedings
Abstract
Remote sensing (RS) technology and Geographic Information Systems (GIS) have changed the traditional way of working that takes costs, time, and labor consumes to become modern and efficient. This paper review aimed at the role of remote sensing and GIS in grassland management. The review used a descriptive methodology to analyze literature from a number of journals concerning applied spatial research studies to look for the best method to be applied in grassland research in East Sumba Regency, Indonesia. In conclusion, the use of satellite imagery for both supervised and unsupervised classification is very helpful in determining the location, area, and limiting factors around it. A Maximum Likelihood Classification is the most widely used form of supervised classification and is used in a variety of applications. However, the ISODATA is the most effective method for unsupervised classification. The effort to determine a grassland or other purposes with land-use suitability analysis can be done with Multi-Criteria Evaluation (MCE) through an Analytical Hierarchy Process (AHP) approach. This method is very helpful for decision-makers, especially in the farm industry. Both an expert#x2019;s judgment and literature review can be as source indicator factors use in suitability analysis. Considering the natural condition of land cover and land use in the East Sumba Regency, the identification and management of grassland will face a lot of resources and is time-consuming. Through remote sensing and GIS approaches, researchers are very helpful in increasing the level of accuracy and saving time.