| Collect Earth: An online tool for systematic reference data collection in land cover and use applications D Saah, G Johnson, B Ashmall, G Tondapu, K Tenneson, M Patterson, ... Environmental Modelling & Software 118, 166-171, 2019 | 153 | 2019 |
| Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine A Poortinga, NS Thwal, N Khanal, T Mayer, B Bhandari, K Markert, ... ISPRS Open Journal of Photogrammetry and Remote Sensing 1, 100003, 2021 | 29 | 2021 |
| Lessons learned while implementing a time-series approach to forest canopy disturbance detection in Nepal RR Aryal, C Wespestad, R Kennedy, J Dilger, K Dyson, E Bullock, ... Remote Sensing 13 (14), 2666, 2021 | 12 | 2021 |
| Commodity-driven Forest loss: a study of Southeast Asia K Tenneson, MS Patterson, J Jadin, T Rosenstock, R Mulia, J Kim, ... USAID. Washington DC, USA, 2021 | 9 | 2021 |
| Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon K Dyson, AP Nicolau, K Tenneson, W Francesconi, A Daniels, G Andrich, ... Plos one 19 (2), e0289437, 2024 | 4 | 2024 |
| Forest degradation and deforestation C Souza Jr, K Tenneson, J Dilger, C Wespestad, E Bullock Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | 4 | 2023 |
| Change detection K Tenneson, J Dilger, C Wespestad, B Zutta, AP Nicolau, K Dyson, P Paz Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | 1 | 2023 |
| Monitoring Gold Mining Activity Using SAR L Villa, S Novoa, M Becerra, AP Nicolau, K Dyson, K Tenneson, J Dilger Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | | 2023 |
| Forest Canopy Disturbance Detection in Nepal: A Time-Series Approach for Real-World Practitioners in the REDD+ Program C Wespestad, R Aryal, R Kennedy, J Dilger, K Dyson, E Bullock, ... AGU Fall Meeting Abstracts 2021, GC21E-08, 2021 | | 2021 |
| Applying Earth Observation Data to Forest Restoration Decision Making Through Time-Series Analysis in Nepal C Wespestad, R Aryal, AK Acharya, B Acharya, J Dilger, J Vincent, Y Yi, ... AGU Fall Meeting Abstracts 2021, GC55F-0487, 2021 | | 2021 |
| Transfer Learning Approach for Sugarcane Mapping in Thailand with NICFI High-resolution Satellite Imagery leveraging Google Earth Engine N Thwal, P Ate, T Mayer, N Khanal, B Bhandari, K Markert, ... AGU Fall Meeting Abstracts 2021, GC55F-0485, 2021 | | 2021 |
| Commodity-driven changes in Southeast Asia forest cover and carbon stock using robust visual photo-interpretation J Dilger, J Jadin, K Tenneson, TS Rosenstock, N Pugh, MS Patterson, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Commodity-driven changes in Southeast Asia forest cover and carbon stock using robust visual photo-interpretation J Jadin, J Dilger, K Tenneson, TS Rosenstock, N Pugh, MS Patterson, ... AGU Fall Meeting Abstracts 2020, GC045-10, 2020 | | 2020 |
| Eastern Washington Disasters: Integrating NASA Earth Observations to Analyze Spatiotemporal Distributions of Lightning-Caused Wildfires in Eastern Washington A Matevosian, A Zaino, A Kennedy, E Bradish, J Torres-Pérez, K Ross, ... | | 2020 |
| Characterization of Crop Commodities Replacing Forest lands and Associated Carbon Budgets in Indonesia D Saah, K Tenneson, TS Rosenstock, MS Patterson, R Mulia, JJ Dilger, ... AGU Fall Meeting Abstracts 2019, GC43K-1418, 2019 | | 2019 |
| Post fire vegetation monitoring system using Google Earth Engine KR Tenneson, J Dilger, J Moghaddas, G Roller, B Bhandari, D Saah Biodiversidade Brasileira 9 (1), 169-169, 2019 | | 2019 |
| D. Saah. 2021. Commodity-Driven Forest Loss: A Study of Southeast Asia. Washington DC. 196pp K Tenneson, MS Patterson, J Jadin, T Rosenstock, R Mulia, J Kim, ... FOREST 105 (20,433,315), 5,387,601, 2015 | | 2015 |
| ISPRS Open Journal of Photogrammetry and Remote Sensing A Poortinga, NS Thwal, N Khanal, T Mayer, B Bhandari, K Markert, ... | | |