Forest biomass estimation from airborne LiDAR data using machine learning approaches CJ Gleason, J Im Remote Sensing of Environment 125, 80-91, 2012 | 422 | 2012 |
Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry CJ Gleason, LC Smith Proceedings of the National Academy of Sciences 111 (13), 4788-4791, 2014 | 338 | 2014 |
Global reconstruction of naturalized river flows at 2.94 million reaches P Lin, M Pan, HE Beck, Y Yang, D Yamazaki, R Frasson, CH David, ... Water resources research 55 (8), 6499-6516, 2019 | 255 | 2019 |
Efficient meltwater drainage through supraglacial streams and rivers on the southwest Greenland ice sheet LC Smith, VW Chu, K Yang, CJ Gleason, LH Pitcher, AK Rennermalm, ... Proceedings of the National Academy of Sciences 112 (4), 1001-1006, 2015 | 224 | 2015 |
An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope M Durand, CJ Gleason, PA Garambois, D Bjerklie, LC Smith, H Roux, ... Water Resources Research 52 (6), 4527-4549, 2016 | 213 | 2016 |
Downstream Yangtze River levels impacted by three Gorges dam J Wang, Y Sheng, CJ Gleason, Y Wada Environmental Research Letters 8 (4), 044012, 2013 | 155 | 2013 |
Remote sensing of river discharge: A review and a framing for the discipline CJ Gleason, MT Durand Remote Sensing 12 (7), 1107, 2020 | 138 | 2020 |
Hydraulic geometry of natural rivers: A review and future directions CJ Gleason Progress in Physical Geography 39 (3), 337-360, 2015 | 138 | 2015 |
A review of remote sensing of forest biomass and biofuel: options for small-area applications CJ Gleason, J Im GIScience & Remote Sensing 48 (2), 141-170, 2011 | 137 | 2011 |
Retrieval of river discharge solely from satellite imagery and at‐many‐stations hydraulic geometry: Sensitivity to river form and optimization parameters CJ Gleason, LC Smith, J Lee Water Resources Research 50 (12), 9604-9619, 2014 | 133 | 2014 |
Recent changes to Arctic river discharge D Feng, CJ Gleason, P Lin, X Yang, M Pan, Y Ishitsuka Nature communications 12 (1), 6917, 2021 | 126 | 2021 |
The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers S Liu, C Kuhn, G Amatulli, K Aho, DE Butman, GH Allen, P Lin, M Pan, ... Proceedings of the National Academy of Sciences 119 (11), e2106322119, 2022 | 125 | 2022 |
Direct measurements of meltwater runoff on the Greenland ice sheet surface LC Smith, K Yang, LH Pitcher, BT Overstreet, VW Chu, ÅK Rennermalm, ... Proceedings of the National Academy of Sciences 114 (50), E10622-E10631, 2017 | 101 | 2017 |
Similarity of stream width distributions across headwater systems GH Allen, TM Pavelsky, EA Barefoot, MP Lamb, D Butman, A Tashie, ... Nature communications 9 (1), 610, 2018 | 91 | 2018 |
BAM: Bayesian AMHG‐Manning inference of discharge using remotely sensed stream width, slope, and height MW Hagemann, CJ Gleason, MT Durand Water Resources Research 53 (11), 9692-9707, 2017 | 80 | 2017 |
Comparing discharge estimates made via the BAM algorithm in high‐order Arctic rivers derived solely from optical CubeSat, Landsat, and Sentinel‐2 data D Feng, CJ Gleason, X Yang, TM Pavelsky Water Resources Research 55 (9), 7753-7771, 2019 | 73 | 2019 |
Theoretical basis for at‐many‐stations hydraulic geometry CJ Gleason, J Wang Geophysical Research Letters 42 (17), 7107-7114, 2015 | 69 | 2015 |
Benchmarking wide swath altimetry‐based river discharge estimation algorithms for the Ganges river system MG Bonnema, S Sikder, F Hossain, M Durand, CJ Gleason, DM Bjerklie Water Resources Research 52 (4), 2439-2461, 2016 | 58 | 2016 |
Urbanizing the floodplain: global changes of imperviousness in flood-prone areas KM Andreadis, OEJ Wing, E Colven, CJ Gleason, PD Bates, CM Brown Environmental Research Letters 17 (10), 104024, 2022 | 57 | 2022 |
Crossing the (watershed) divide: Satellite data and the changing politics of international river basins CJ Gleason, AN Hamdan The Geographical Journal 183 (1), 2-15, 2017 | 57 | 2017 |