ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

by   Jeremy Irvin, et al.

Characterizing the processes leading to deforestation is critical to the development and implementation of targeted forest conservation and management policies. In this work, we develop a deep learning model called ForestNet to classify the drivers of primary forest loss in Indonesia, a country with one of the highest deforestation rates in the world. Using satellite imagery, ForestNet identifies the direct drivers of deforestation in forest loss patches of any size. We curate a dataset of Landsat 8 satellite images of known forest loss events paired with driver annotations from expert interpreters. We use the dataset to train and validate the models and demonstrate that ForestNet substantially outperforms other standard driver classification approaches. In order to support future research on automated approaches to deforestation driver classification, the dataset curated in this study is publicly available at .


page 7

page 9


Rotation Equivariant Deforestation Segmentation and Driver Classification

Deforestation has become a significant contributing factor to climate ch...

Quantitative evaluation of regulatory policies for reducing deforestation using the bent-cable regression model

Reducing and redressing the effects of deforestation is a complex public...

TrueBranch: Metric Learning-based Verification of Forest Conservation Projects

International stakeholders increasingly invest in offsetting carbon emis...

Implementing AI-powered semantic character recognition in motor racing sports

Oftentimes TV producers of motor-racing programs overlay visual and text...

Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia

Deforestation is one of the contributing factors to climate change. Clim...

Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts

An increasing amount of companies and cities plan to become CO2-neutral,...

Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study

Active fire detection in satellite imagery is of critical importance to ...