Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …

Recent landslide detection studies have focused on pixel-based deep learning (DL)
approaches. In contrast, intuitive annotation of landslides from satellite imagery is based on …

With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …

In many parts of the world, lake drying is caused by water management failures, while the
phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at …

Ensuring sustainable management of soil erosion is of utmost importance to prevent its
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …

Classification is a very common image processing task. The accuracy of the classified map
is typically assessed through a comparison with real-world situations or with available …

Climate change and its respective environmental impacts, such as dying lakes, is widely
acknowledged. Studies on the impact of shrinking hyper-saline lakes suggest severe …

Nowadays, dried lakes have turned into important dust sources with serious environmental,
climatic and socio-economic impacts. In this study, climatic, terrestrial and anthropogenic …

This study aims at providing a robust artificial intelligent model for predicting the efficiency of
heavy metal removal from aqueous solutions of biochar systems with high accuracy and …

Irrigated agricultural expansion is one of the main reasons for water scarcity in the Lake
Urmia basin. Although previous studies have analyzed the impact of cropland expansion on …