Functionality of Spatial Analysis in the Assessment of the Impact of Land Cover on the Erosion Process Prediction

Abstract

Erosion is a process shaping the earth’s surface, responsible for supplying sediment to the fluvial system. Identification of areas vulnerable to erosion is a critical element of sediment management in the catchment, enabling the assessment of the degree of its degradation. The research was based on the use of spatial data, Digital Terrain Model (DTM), and Corine Land Cover (CLC) on the example of two sub-catchments located on the lower Brda River. The main aim of the research was to assess the impact of land cover on the spatial prediction of the erosion process at the catchment scale. The Maximum Entropy Method was used to determine the spatial probability distribution of environmental variables related to the erosion process. Results showed the greatest predictive power of relief-related environmental features, associated with specific types of land cover. Predictive models can be successfully used to predict areas potentially exposed to erosion

Analisis Model Spasial Kondisi Lahan Daerah Aliran Sungai (DAS): Mendukung Pengambilan Keputusan Berkelanjutan di DAS Paguyaman, Indonesia

“…Analisis spasial telah efektif digunakan untuk memetakan kerentanan erosi di berbagai daerah aliran sungai, membantu dalam identifikasi wilayah berisiko tinggi dan menentukan sasaran upaya konservasi. (Szatten et al, 2022) dan (Belloula et al, 2023) menggunakan data spasial dan teknik pemodelan untuk memprediksi erosi, Szatten menekankan dampak tutupan lahan dan Belloula menggunakan proses hierarki analitik untuk mengukur kehilangan tanah. Studi-studi ini secara kolektif menunjukkan pentingnya analisis spasial dalam memahami dan mengatasi kerentanan erosi.…”