New research techniques detail 180 million trees across 3.1 million hectares

New research from Griffith University has measured individual tree heights across 3.1 million hectares in the New South Wales ...
AlphaGalileo

Unsupervised AI network separates wood and leaves in 3D forest scans

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf ...
IEEE

LULC Classification of Sentinel-2 Satellite Image Using Random Forest Algorithm in Google Earth Engine

Abstract: This study aims to assess the accelerated land use and cover transformations occurred in Dehradun, India due urbanization induced economic growth leading imbalance of ecological stability.
IEEE

Classification of Community Responses to Service Offices using a Combined CNN-LSTM Algorithm and Random Forest

Abstract: This study analyzes urban issues by examining people's social media responses. The government requires public feedback to assess its performance in addressing these issues. The study employs ...