| Implementation of the LandTrendr algorithm on google earth engine RE Kennedy, Z Yang, N Gorelick, J Braaten, L Cavalcante, WB Cohen, ... Remote Sensing 10 (5), 691, 2018 | 433 | 2018 |
| Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan RE Kennedy, Z Yang, WB Cohen, E Pfaff, J Braaten, P Nelson Remote Sensing of Environment 122, 117-133, 2012 | 300 | 2012 |
| Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA RE Kennedy, Z Yang, J Braaten, C Copass, N Antonova, C Jordan, ... Remote Sensing of Environment 166, 271-285, 2015 | 176 | 2015 |
| Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types BC Bright, AT Hudak, RE Kennedy, JD Braaten, A Henareh Khalyani Fire Ecology 15 (1), 1-14, 2019 | 142 | 2019 |
| Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems JD Braaten, WB Cohen, Z Yang Remote Sensing of Environment 169, 128-138, 2015 | 107 | 2015 |
| Extracting the full value of the Landsat archive: Inter-sensor harmonization for the mapping of Minnesota forest canopy cover (1973–2015) JC Vogeler, JD Braaten, RA Slesak, MJ Falkowski Remote sensing of environment 209, 363-374, 2018 | 99 | 2018 |
| Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation D Sulla-Menashe, RE Kennedy, Z Yang, J Braaten, ON Krankina, ... Remote Sensing of Environment 151, 114-123, 2014 | 89 | 2014 |
| Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure HSJ Zald, JL Ohmann, HM Roberts, MJ Gregory, EB Henderson, ... Remote Sensing of Environment 143, 26-38, 2014 | 82 | 2014 |
| An empirical, integrated forest biomass monitoring system RE Kennedy, J Ohmann, M Gregory, H Roberts, Z Yang, DM Bell, V Kane, ... Environmental Research Letters 13 (2), 025004, 2018 | 74 | 2018 |
| Landsat imagery spectral trajectories—important variables for spatially predicting the risks of bark beetle disturbance M Hais, J Wild, L Berec, J Brůna, R Kennedy, J Braaten, Z Brož Remote Sensing 8 (8), 687, 2016 | 45 | 2016 |
| Implementation of the LandTrendr algorithm on google earth engine, Remote Sens., 10, 691 RE Kennedy, Z Yang, N Gorelick, J Braaten, L Cavalcante, WB Cohen, ... | 28 | 2018 |
| Shifts in forest structure in Northwest Montana from 1972 to 2015 using the Landsat archive from multispectral scanner to operational land imager SL Savage, RL Lawrence, JR Squires, JD Holbrook, LE Olson, ... Forests 9 (4), 157, 2018 | 23 | 2018 |
| Monitoring landscape dynamics of National Parks in the western United States R Kennedy, Z Yang, J Braaten, P Neldon, W Cohen Remote Sensing of Protected Lands, 57-94, 2012 | 7 | 2012 |
| Fire Ecology HA Eright Wiley & Sons, 1981 | 2 | 1981 |
| Defining Seasonality: First Date of No Snow A Armstrong, M Tassone, J Braaten Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | | 2023 |
| Zonal Statistics S Winsemius, J Braaten Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | | 2023 |
| Interpreting Annual Time Series with LandTrendr R Kennedy, J Braaten, P Clary Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and …, 2023 | | 2023 |
| LITERATURA CITADA BC Bright, AC Hudak, RE Kennedy, JD Braaten, AH Khalyani FACULTAD DE ZOOTECNIA Y ECOLOGÍA, 113, 2021 | | 2021 |
| Framing land change through the lens of annual, broad-area land cover maps for the continental United States RE Kennedy, MJ Hughes, J Braaten, P Clary, S Hooper, Z Yang, ... AGU Fall Meeting Abstracts 2019, B24A-01, 2019 | | 2019 |
| Annual, moderate resolution maps of land surface properties for the continental United States in support of process-based carbon modeling RE Kennedy, JM Hughes, J Braaten, S Hooper, Z Yang, A Devenish, ... AGU Fall Meeting Abstracts 2018, B21J-2465, 2018 | | 2018 |
