SPATIO-TEMPORAL ANALYSIS OF GLOBAL LANDSLIDE DISASTER RISK POTENTIAL BASED ON REMOTE SENSING DATA WITH INTEGRATED MACHINE LEARNING METHODS

• المؤلف الرئيسي: Kusuma Cahya Reynaldi, Ifandra
• التنسيق: Final Project
• اللغة: Indonesia
• الوصول للمادة أونلاين: https://digilib.itb.ac.id/gdl/view/73461

<p align="justify">Every year 67,000 people are killed, 26 million people are plunged into poverty, and nearly 200 million people are affected by natural disasters around the world. Landslides are the most common and frequent hazard in mountainous areas of the world that affect th...