| Mapping burned areas using dense time-series of Landsat data TJ Hawbaker, MK Vanderhoof, YJ Beal, JD Takacs, GL Schmidt, ... Remote Sensing of Environment 198, 504-522, 2017 | 270 | 2017 |
| The Landsat Burned Area algorithm and products for the conterminous United States TJ Hawbaker, MK Vanderhoof, GL Schmidt, YJ Beal, JJ Picotte, ... Remote Sensing of Environment 244, 111801, 2020 | 161 | 2020 |
| Plastic responses to temporal variation in moisture availability: consequences for water use efficiency and plant performance JJ Picotte, DM Rosenthal, JM Rhode, MB Cruzan Oecologia 153 (4), 821-832, 2007 | 143 | 2007 |
| Changes to the Monitoring Trends in Burn Severity program mapping production procedures and data products JJ Picotte, K Bhattarai, D Howard, J Lecker, J Epting, B Quayle, N Benson, ... Fire Ecology 16 (1), 16, 2020 | 134 | 2020 |
| Validation of remote sensing of burn severity in south-eastern US ecosystems JJ Picotte, KM Robertson International Journal of Wildland Fire 20 (3), 453-464, 2011 | 98 | 2011 |
| An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data Y Gu, BK Wylie, SP Boyte, J Picotte, DM Howard, K Smith, KJ Nelson Remote sensing 8 (11), 943, 2016 | 88 | 2016 |
| 1984–2010 trends in fire burn severity and area for the conterminous US JJ Picotte, B Peterson, G Meier, SM Howard International Journal of Wildland Fire 25 (4), 413-420, 2016 | 83 | 2016 |
| Leaf morphological responses to variation in water availability for plants in the Piriqueta caroliniana complex JJ Picotte, JM Rhode, MB Cruzan Plant ecology 200 (2), 267-275, 2009 | 61 | 2009 |
| Geospatial data mining for digital raster mapping BK Wylie, NJ Pastick, JJ Picotte, CA Deering GIScience & Remote Sensing 56 (3), 406-429, 2019 | 57 | 2019 |
| Timing constraints on remote sensing of wildland fire burned area in the southeastern US JJ Picotte, K Robertson Remote Sensing 3 (8), 1680-1690, 2011 | 49 | 2011 |
| A multimodal data fusion and deep learning framework for large-scale wildfire surface fuel mapping M Alipour, I La Puma, J Picotte, K Shamsaei, E Rowell, A Watts, B Kosovic, ... Fire 6 (2), 36, 2023 | 44 | 2023 |
| Determination of burn severity models ranging from regional to national scales for the conterminous United States JJ Picotte, CA Cansler, CA Kolden, JA Lutz, C Key, NC Benson, ... Remote Sensing of Environment 263, 112569, 2021 | 38 | 2021 |
| LANDFIRE remap prototype mapping effort: Developing a new framework for mapping vegetation classification, change, and structure JJ Picotte, D Dockter, J Long, B Tolk, A Davidson, B Peterson Fire 2 (2), 35, 2019 | 38 | 2019 |
| Wildfire burn severity and emissions inventory: an example implementation over California Q Xu, ALR Westerling, A Notohamiprodjo, C Wiedinmyer, JJ Picotte, ... Environmental Research Letters 17 (8), 085008, 2022 | 35 | 2022 |
| Mapping wetland burned area from Sentinel-2 across the Southeastern United States and its contributions relative to Landsat-8 (2016–2019) MK Vanderhoof, TJ Hawbaker, C Teske, A Ku, J Noble, J Picotte Fire 4 (3), 52, 2021 | 35 | 2021 |
| Potential underestimation of satellite fire radiative power retrievals over gas flares and wildland fires SS Kumar, J Hult, J Picotte, B Peterson Remote Sensing 12 (2), 238, 2020 | 21 | 2020 |
| Accuracy of remote sensing wildland fire-burned area in southeastern US Coastal plain habitats JJ Picotte, KM Robertson Proceedings of the 24th Tall Timbers Fire Ecology Conference: The Future of …, 2010 | 13 | 2010 |
| Landsat burned area essential climate variable products for the conterminous United States (1984-2015) TJ Hawbaker, MK Vanderhoof, YJG Beal, J Takacs, GL Schmidt, ... US Geological Survey (USGS) Data Release, 284, 2017 | 9 | 2017 |
| Composite Burn Index (CBI) data for the conterminous US, collected between 1996 and 2018 JJ Picotte, R Arkle, H Bastian, N Benson, A Cansler, T Caprio, G Dillon, ... US Geological Survey (USGS) Data Release, 839, 2019 | 8 | 2019 |
| LANDFIRE 2015 Remap – Utilization of Remotely Sensed Data to Classify Existing Vegetation Type and Structure to Support Strategic Planning and Tactical Response KJ Picotte, J.J., Long, J., Peterson, B., Nelson Earthzine, 2017 | 8 | 2017 |
Todd HawbakerU.S. Geological SurveyVerified email at usgs.gov
