24 citations · 71 across the 10 of their papers we have counts for
5 papers · 1 filter
Monitoring Urban Forests from Auto-Generated Segmentation Maps
Conrad M Albrecht, Chenying Liu, Yi Wang +2
We present and evaluate a weakly-supervised methodology to quantify the spatio-temporal distribution of urban forests based on remotely sensed data with close-to-zero human interac…
Quantification of Carbon Sequestration in Urban Forests
Levente J. Klein, Wang Zhou, Conrad M. Albrecht
Vegetation, trees in particular, sequester carbon by absorbing carbon dioxide from the atmosphere. However, the lack of efficient quantification methods of carbon stored in trees r…
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data
Wang Zhou, Levente J. Klein, Siyuan Lu
An automated machine learning framework for geospatial data named PAIRS AutoGeo is introduced on IBM PAIRS Geoscope big data and analytics platform. The framework simplifies the de…
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Chulin Wang, Eloisa Bentivegna, Wang Zhou +2
Physics-informed neural networks (NN) are an emerging technique to improve spatial resolution and enforce physical consistency of data from physics models or satellite observations…
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
Wang Zhou, Levente Klein
One of the impacts of climate change is the difficulty of tree regrowth after wildfires over areas that traditionally were covered by certain tree species. Here a deep learning mod…