Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

Abstract The Amazon River basin harbors some of the world's largest wetland complexes,
which are of major importance for biodiversity, the water cycle and climate, and human …

Pluvial flooding is a common type of natural hazard caused by rainfall events with high
intensity and short duration, which may lead to substantial property damages, transportation …

在全球气候变化与城市扩张的背景下, 城市洪涝问题频发并引发严重的社会问题与经济损失.
当前城市洪涝管理的主要内容已从工程性防御性措施转向洪涝风险管理, 而城市洪涝风险评估又 …

This research aimed to evaluate flood hazards and risk areas in the Gidabo Watershed
using remote sensing (RS), Geographic Information Systems (GIS), and analytical hierarchy …

Tropical forests play an important role as a reservoir of carbon and biodiversity, specifically
forests in the Brazilian Amazon. However, the last decades have been marked by important …

Strong convective systems and the associated heavy rainfall events can trig-ger floods and
landslides with severe detrimental consequences. These events have a high spatio …

The prerequisite for the use of remote sensing images is that their security must be
guaranteed. As a special subset of perceptual hashing, subject-sensitive hashing …

More frequent and stronger flood hazards in the last two decades have caused considerable
environmental and socio‐economic losses in many regions of the Amazon basin. It is …

Climate change and development projects towards the Brazilian Amazon have affected
traditional livelihoods and imposed transformations on these cultures. In this context, this …