| Temperature as a potent driver of regional forest drought stress and tree mortality A Park Williams, CD Allen, AK Macalady, D Griffin, CA Woodhouse, ... Nature climate change 3 (3), 292-297, 2013 | 1943 | 2013 |
| Global satellite monitoring of climate-induced vegetation disturbances NG McDowell, NC Coops, PSA Beck, JQ Chambers, C Gangodagamage, ... Trends in plant science 20 (2), 114-123, 2015 | 242 | 2015 |
| Quantifying and relating land-surface and subsurface variability in permafrost environments using LiDAR and surface geophysical datasets SS Hubbard, C Gangodagamage, B Dafflon, H Wainwright, J Peterson, ... Hydrogeology Journal 1 (21), 149-169, 2013 | 160 | 2013 |
| A review of earth artificial intelligence Z Sun, L Sandoval, R Crystal-Ornelas, SM Mousavi, J Wang, C Lin, ... Computers & Geosciences 159, 105034, 2022 | 115 | 2022 |
| A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery JC Rowland, E Shelef, PA Pope, J Muss, C Gangodagamage, SP Brumby, ... Remote Sensing of Environment 184, 212-228, 2016 | 99 | 2016 |
| Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery SR Garrity, CD Allen, SP Brumby, C Gangodagamage, NG McDowell, ... Remote Sensing of Environment 129, 54-65, 2013 | 84 | 2013 |
| Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets C Gangodagamage, JC Rowland, SS Hubbard, SP Brumby, AK Liljedahl, ... Water resources research 50 (8), 6339-6357, 2014 | 63 | 2014 |
| Temperature as a potent driver of regional forest drought stress and tree mortality. Nat Clim Change 3: 292–297 AP Williams, CD Allen, AK Macalady, D Griffin, CA Woodhouse, DM Meko, ... | 53 | 2013 |
| Scaling in river corridor widths depicts organization in valley morphology C Gangodagamage, E Barnes, E Foufoula-Georgiou Geomorphology 91 (3-4), 198-215, 2007 | 42 | 2007 |
| Hydrological modeling using remote sensing and GIS C Gangodagamage, SP Agrarwal 22nd Asian Conference on Remote Sensing 5, 2001 | 39 | 2001 |
| Revisiting scaling laws in river basins: New considerations across hillslope and fluvial regimes C Gangodagamage, P Belmont, E Foufoula‐Georgiou Water Resources Research 47 (7), 2011 | 38 | 2011 |
| Spatial Autocorrelation C Gangodagamage, X Zhou, H Lin Encyclopedia of GIS, 32-37, 2008 | 30* | 2008 |
| Arctic tundra ice-wedge landscape characterization by active contours without edges and structural analysis using high-resolution satellite imagery AN Skurikhin, C Gangodagamage, JC Rowland, CJ Wilson Remote sensing letters 4 (11), 1077-1086, 2013 | 19 | 2013 |
| Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System TM Lahmers, SV Kumar, D Rosen, A Dugger, DJ Gochis, JA Santanello, ... Water Resources Research 58 (3), e2021WR029867, 2022 | 14 | 2022 |
| Latest Pleistocene–Holocene debris flow activity, Santa Catalina Mountains, Arizona; Implications for modern debris-flow hazards under a changing climate AM Youberg, RH Webb, CR Fenton, PA Pearthree Geomorphology 219, 87-102, 2014 | 14 | 2014 |
| Undercomplete learned dictionaries for land cover classification in multispectral imagery of Arctic landscapes using CoSA: clustering of sparse approximations DI Moody, SP Brumby, JC Rowland, C Gangodagamage Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2013 | 14 | 2013 |
| Wavelet-compressed representation of landscapes for hydrologic and geomorphologic applications C Gangodagamage, E Foufoula-Georgiou, SP Brumby, R Chartrand, ... IEEE Geoscience and Remote Sensing Letters 13 (4), 480-484, 2016 | 12 | 2016 |
| Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries DI Moody, SP Brumby, JC Rowland, C Gangodagamage 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-10, 2012 | 11 | 2012 |
| Digital elevation model, 0.5 m, barrow environmental observatory, Alaska, 2012 C Wilson, C Gangodagamage, J Rowland Next Generation Ecosystem Experiments Arctic Data Collection Dataset, 2013 | 10 | 2013 |
| The analysis of using satellite soil moisture observations for flood detection, evaluating over the Thailand’s Great Flood of 2011 N Tangdamrongsub, C Forgotson, C Gangodagamage, J Forgotson Natural Hazards 108 (3), 2879-2904, 2021 | 9 | 2021 |
David RussellProfessor of Chemistry, Texas A&M University在 mail.chem.tamu.edu 的电子邮件经过验证
