[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
How much inundation occurs in the Amazon River basin?
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 …
which are of major importance for biodiversity, the water cycle and climate, and human …
Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework
L Lin, Z Wu, Q Liang - Natural Hazards, 2019 - Springer
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 …
intensity and short duration, which may lead to substantial property damages, transportation …
[PDF][PDF] 基于“HEV” 框架的城市洪涝风险评估研究进展
张会, 李铖, 程炯, 吴志峰, 吴艳艳 - 地理科学进展, 2019 - researchgate.net
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 …
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 …
Flood hazard analysis and risk assessment using remote sensing, GIS, and AHP techniques: a case study of the Gidabo Watershed, main Ethiopian Rift, Ethiopia
D Diriba, T Takele, S Karuppannan… - … , Natural Hazards and …, 2024 - Taylor & Francis
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 …
using remote sensing (RS), Geographic Information Systems (GIS), and analytical hierarchy …
Spatiotemporal rainfall trends in the Brazilian legal Amazon between the years 1998 and 2015
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 …
forests in the Brazilian Amazon. However, the last decades have been marked by important …
[HTML][HTML] A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil
AN Caseri, LBL Santos, S Stephany - Artificial Intelligence in Geosciences, 2022 - Elsevier
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 …
landslides with severe detrimental consequences. These events have a high spatio …
AAU-net: Attention-based asymmetric U-net for subject-sensitive hashing of remote sensing images
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 …
guaranteed. As a special subset of perceptual hashing, subject-sensitive hashing …
Forecasting annual maximum water level for the Negro River at Manaus
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 …
environmental and socio‐economic losses in many regions of the Amazon basin. It is …
Social learning as a response to disasters: a case study in the Brazilian Amazon
D Valdanha Neto, PR Jacobi - Environmental Education Research, 2022 - Taylor & Francis
Climate change and development projects towards the Brazilian Amazon have affected
traditional livelihoods and imposed transformations on these cultures. In this context, this …
traditional livelihoods and imposed transformations on these cultures. In this context, this …