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2020 – today
- 2023
[j9]Selena Chavez
, Shimon Wdowinski, David Lagomasino, Edward Castañeda-Moya, Temilola Fatoyinbo, Ryan P. Moyer, Joseph M. Smoak:
Estimating Structural Damage to Mangrove Forests Using Airborne Lidar Imagery: Case Study of Damage Induced by the 2017 Hurricane Irma to Mangroves in the Florida Everglades, USA. Sensors 23(15): 6669 (2023)- 2022
- [j8]Lin Xiong, David Lagomasino, Sean P. Charles, Edward Castañeda-Moya, Bruce D. Cook, Jed Redwine, Lola Fatoyinbo:
Quantifying mangrove canopy regrowth and recovery after Hurricane Irma with large-scale repeat airborne lidar in the Florida Everglades. Int. J. Appl. Earth Obs. Geoinformation 114: 103031 (2022) - [j7]Nathan Thomas, Brian Lee, Oliver Coutts, Peter Bunting, David Lagomasino, Lola Fatoyinbo:
A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping. IEEE Trans. Geosci. Remote. Sens. 60: 1-9 (2022) - [d1]Nathan Thomas, Brian Lee, Oliver Coutts, Pete Bunting, David Lagomasino, Lola Fatoyinbo:
A purely spaceborne open source approach for regional bathymetry mapping: Bahamas Median DEM. IEEE DataPort, 2022
- 2021
- [j6]Calvin K. F. Lee, Clare Duncan, Emily Nicholson, Temilola E. Fatoyinbo, David Lagomasino, Nathan Thomas, Thomas A. Worthington, Nicholas J. Murray:
Mapping the Extent of Mangrove Ecosystem Degradation by Integrating an Ecological Conceptual Model with Satellite Data. Remote. Sens. 13(11): 2047 (2021) - 2020
- [j5]Raha Hakimdavar, Alfred Hubbard, Frederick Policelli, Amy Pickens, Matthew C. Hansen, Temilola Fatoyinbo, David Lagomasino, Nima Pahlevan, Sushel Unninayar, Argyro Kavvada, Mark L. Carroll, Brandon Smith, Margaret Hurwitz, Danielle Wood, Stephanie Schollaert Uz:
Monitoring Water-Related Ecosystems with Earth Observation Data in Support of Sustainable Development Goal (SDG) 6 Reporting. Remote. Sens. 12(10): 1634 (2020) - [c5]Atticus E. L. Stovall, David Lagomasino, Seung-Kuk Lee, Marc Simard, Nathan Thomas, Carl C. Trettin, Temilola Fatoyinbo:
Evaluating Current and Future Sensor-Specific Biomass Calibration in the Tallest Mangrove Forest on Earth. IGARSS 2020: 5964-5967
2010 – 2019
- 2019
- [j4]Pinki Mondal, Xue Liu, Temilola E. Fatoyinbo, David Lagomasino:
Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa. Remote. Sens. 11(24): 2928 (2019) - 2018
- [j3]Seung-Kuk Lee, Temilola E. Fatoyinbo, David Lagomasino, Emanuelle Feliciano, Carl C. Trettin:
Multibaseline TanDEM-X Mangrove Height Estimation: The Selection of the Vertical Wavenumber. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3434-3442 (2018) - 2017
- [c4]Seung-Kuk Lee, Temilola Fatoyinbo, Batuhan Osmanoglu, David Lagomasino, Emanuelle Feliciano:
3D forest structure parameter retrieval: Polarimetric SAR interferometry and waveform lidar airborne data. IGARSS 2017: 4292-4293 - 2016
- [j2]David Lagomasino, Temilola Fatoyinbo, Seung-Kuk Lee, Emanuelle Feliciano, Carl C. Trettin, Marc Simard:
A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. Remote. Sens. 8(4): 327 (2016) - [c3]Seung-Kuk Lee, Temilola Fatoyinbo, David Lagomasino, Batuhan Osmanoglu, Emanuelle Feliciano:
Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images. IGARSS 2016: 6040-6042 - 2015
- [c2]Batuhan Osmanoglu, Rafael F. Rincon, Seung-Kuk Lee, Temilola Fatoyinbo, David Lagomasino:
Radio frequency interference detection and mitigation techniques: EcoSAR 2014 flight campaign. IGARSS 2015: 124-127 - [c1]Seung-Kuk Lee, Temilola Fatoyinbo, David Lagomasino, Batuhan Osmanoglu, Marc Simard, Carl C. Trettin, Mizanur Rahman, Imran Ahmed:
Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques. IGARSS 2015: 2895-2898 - 2013
- [j1]Petya K. E. Campbell, Elizabeth M. Middleton, Kurt J. Thome, Raymond F. Kokaly, Karl Fred Huemmrich, David Lagomasino, Kimberly A. Novick, Nathaniel A. Brunsell:
EO-1 Hyperion Reflectance Time Series at Calibration and Validation Sites: Stability and Sensitivity to Seasonal Dynamics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-1): 276-290 (2013)
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