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

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

11 November 2020

Neel Ramachandran

Sonja Johnson-Yu

Cooper W. Elsworth

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

17 / 17 papers shown

Title
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach Pierre Adorni M. Pham Stéphane May Sébastien Lefèvre 51 0 0 06 May 2025
DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding Keyan Chen Chenyang Liu Bowen Chen Wenyuan Li Zhengxia Zou Zhenwei Shi 55 2 0 20 Mar 2025
TreeFormers -- An Exploration of Vision Transformers for Deforestation Driver Classification Uche Ochuba 32 0 0 25 May 2024
Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models Benedikt Blumenstiel Viktoria Moor Romeo Kienzler Thomas Brunschwiler VLM 35 3 0 04 Mar 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 60 6 0 01 Nov 2023
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities Yanxin Xi Yu Liu Tong Li Jintao Ding Yunke Zhang Sasu Tarkoma Yong Li Pan Hui 40 7 0 01 Aug 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste Nils Lehmann Pau Rodríguez López Evan D. Sherwin Hannah Kerner ... David Vazquez Dava Newman Yoshua Bengio Stefano Ermon Xiao Xiang Zhu SSL ALM AI4CE 14 56 0 06 Jun 2023
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications Francisco Mena Diego Arenas Marlon Nuske Andreas Dengel 34 3 0 20 Dec 2022
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar Willie Neiswanger Colin White 33 6 0 07 Oct 2022
Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia Bella Septina Ika Hartanti V. Vito A. M. Arymurthy A. Setiyoko 42 1 0 29 Jul 2022
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping B. Zhu Nicholas Lui Jeremy Irvin Jimmy Le Sahil Tadwalkar Chenghao Wang Zutao Ouyang Frankie Y. Liu Andrew Y. Ng R. Jackson 22 15 0 22 Jul 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 89 30 0 31 Jan 2022
Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches Meiqing Li Hao Sheng 16 2 0 30 Jan 2022
Deep Learning and Earth Observation to Support the Sustainable Development Goals Claudio Persello Jan Dirk Wegner Ronny Hansch D. Tuia Pedram Ghamisi M. Koeva Gustau Camps-Valls 31 4 0 21 Dec 2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh Chenlin Meng Sherrie Wang Anne Driscoll Erik Rozi Patrick Liu Jihyeon Janel Lee Marshall Burke David B. Lobell Stefano Ermon 64 56 0 08 Nov 2021
Rotation Equivariant Deforestation Segmentation and Driver Classification Joshua Mitton Roderick Murray-Smith 19 7 0 25 Oct 2021
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond Tianyuan Huang Zhecheng Wang Hao Sheng Andrew Y. Ng Ram Rajagopal AI4TS 21 10 0 06 May 2021