Critical land classification can be analyzed using Soil Thickness and BRLKT methods. Both methods need soil erosion data as one of input data. The soil erosion can be analyzed using USLE and MUSLE methods. Base on two critical land analyses methods with input soil erosion data analyzed using two methods will result in four combinations of critical land classification procedures. In this research, critical land classification and soil erosion classification were analyzed using GIS. The best method to classify critical land was investigated in this research, where the best classified critical land is the classified critical land result same with the field condition. Percentage of vegetation cover (PVC) is one of the most important input data in the critical land classification analysis using BRLKT method. This data has 50 of 100 total weights. To analyze this PVC classification, NDVI generated from satellite remote sensing data was employed in this research. From the four results of critical land classified using four procedures used in this research, critical land classified using BRLKT method with input soil erosion analyzed using USLE method produced the critical land classification same with the critical land condition in the field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.