Summary The Semi-Automatic Classification Plugin is a Python plugin for the software QGIS
(QGIS Development Team, 2021) developed with the overall objective to facilitate land cover …

The development of UAV technologies offers practical methods to create landcover maps for
monitoring and management of areas affected by natural disasters such as landslides. The …

The frequency and intensity of typhoons have increased due to climate change. These
climate change-induced disasters have caused widespread damage to forests. Evaluation of …

As a leading natural wealth, forests play an essential role in the development and prosperity
of countries. Hence, monitoring their changes can lead to proper management and planning …

The study of land use land cover has become increasingly significant with the availability of
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …

Wind damage is one of the major factors affecting forest ecosystem sustainability, especially
in the coastal region. Typhoon Lekima is among the top five most devastating typhoons in …

This study aims to highlight the performance of the Support Vector Machine (SVM) and the
Random Forest (RF) Machine Learning (ML) algorithms to evaluate the changes in Land …

The standard approach to 'nowcast'disaster impacts, which relies on risk models, does not
typically account for the compounding impact of various hazard phenomena (eg, wind and …

Gelephu, located in the Himalayan region, has undergone significant development activities
due to its suitable topography and geographic location. This has led to rapid urbanization in …

Typhoon Rammasun landed on the southern coastal region of Guangdong and Hainan
Provinces on 18 July 2014, and is the strongest recorded typhoon since the 1970s in China …