Stella Belliss

Recent applications of unmanned aerial imagery in natural resource management

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Google Earth Engine: A Global Analysis and Future Trends

Automated parameterisation for multi-scale image segmentation on multiple layers

Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model

FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection

Anthropogenic stresses on the world’s big rivers

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

A global network for operational flood risk reduction

Detailed geological mapping in mountain areas using an unmanned aerial vehicle: application to the Rodoretto Valley, NW Italian Alps

Designing systems to monitor carbon stocks in forests and shrublands

Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales

Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh

Computer vision technology in agricultural automation —A review

Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography

Integrated assessment of the environmental impact of an IDP camp in Sudan based on very high resolution multi-temporal satellite imagery

Tropical cyclone disaster management using remote sensing and spatial analysis: A review

Unmanned Aerial Vehicle for Remote Sensing Applications—A Review

The use of unmanned aerial vehicles (UAVs) for engineering geology applications

The potential and challenge of remote sensing‐based biomass estimation

Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms

An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection

Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data

Vegetation Identification and Biomass Estimation Using AIRSAR Data

A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters