The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts MC Anderson, CA Zolin, PC Sentelhas, CR Hain, K Semmens, MT Yilmaz, ... Remote Sensing of Environment 174, 82-99, 2016 | 291 | 2016 |
Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach KA Semmens, MC Anderson, WP Kustas, F Gao, JG Alfieri, L McKee, ... Remote Sensing of Environment 185, 155-170, 2016 | 252 | 2016 |
Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion Y Yang, MC Anderson, F Gao, CR Hain, KA Semmens, WP Kustas, ... Hydrology and Earth System Sciences 21 (2), 1017-1037, 2017 | 96 | 2017 |
Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003–2013 MC Anderson, CA Zolin, CR Hain, K Semmens, MT Yilmaz, F Gao Journal of Hydrology 526, 287-302, 2015 | 93 | 2015 |
Early snowmelt events: detection, distribution, and significance in a major sub-arctic watershed KA Semmens, J Ramage, A Bartsch, GE Liston Environmental Research Letters 8 (1), 014020, 2013 | 64 | 2013 |
Effectively communicating risk and uncertainty to the public: Assessing the National Weather Service’s flood forecast and warning tools RH Carr, B Montz, K Maxfield, S Hoekstra, K Semmens, E Goldman Bulletin of the American Meteorological Society 97 (9), 1649-1665, 2016 | 45 | 2016 |
Recent ice cap snowmelt in Russian High Arctic and anti-correlation with late summer sea ice extent M Zhao, J Ramage, K Semmens, F Obleitner Environmental Research Letters 9 (4), 045009, 2014 | 26 | 2014 |
Recent changes in spring snowmelt timing in the Yukon River basin detected by passive microwave satellite data KA Semmens, JM Ramage The Cryosphere 7 (3), 905-916, 2013 | 26 | 2013 |
Recent changes in spring snowmelt timing in the Yukon River basin detected by passive microwave satellite data KA Semmens, JM Ramage The Cryosphere 7 (3), 905-916, 2013 | 26 | 2013 |
Investigating correlations between snowmelt and forest fires in a high latitude snowmelt dominated drainage basin KA Semmens, J Ramage Hydrological Processes 26 (17), 2608-2617, 2012 | 14 | 2012 |
Major risks, uncertain outcomes: Making ensemble forecasts work for multiple audiences RH Carr, B Montz, K Semmens, K Maxfield, S Connolly, P Ahnert, ... Weather and forecasting 33 (5), 1359-1373, 2018 | 12 | 2018 |
Reconstructing snowmelt runoff in the Yukon River basin using the SWEHydro model and AMSR‐E observations J Ramage, KA Semmens Hydrological Processes 26 (17), 2563-2572, 2012 | 10 | 2012 |
Assessing correlations of satellite-derived evapotranspiration, precipitation, and leaf area index anomalies with yields of major Brazilian crops MC Anderson, C Zolin, P Sentelhas, C Hain, K Semmens, MT Yilmaz, ... Remote Sens. Environ 174, 82-99, 2016 | 9 | 2016 |
Motivating action under uncertain conditions: Enhancing emergency briefings during coastal storms RH Carr, B Montz, K Semmens, K Maxfield, S Hoekstra, E Goldman Weather, Climate, and Society 8 (4), 421-434, 2016 | 6 | 2016 |
Teaching earth systems connections to middle school students in an informal learning environment with science on a Sphere®, Personal relevance and arts-based activities K Semmens, L Fosbenner, K Maxfield, RH Carr, J Ramage, J O’Leary, ... Journal of Geoscience Education 69 (1), 71-84, 2020 | 5 | 2020 |
Melt patterns and dynamics in Alaska and Patagonia derived from passive microwave brightness temperatures K Semmens, J Ramage Remote Sensing 6 (1), 603-620, 2014 | 4 | 2014 |
Social and institutional challenges in species and ecosystem conservation: an appraisal of the US Marine Mammal Commission RL Wallace, KA Semmens Policy Sciences 43, 203-228, 2010 | 4 | 2010 |
Improving the use of hydrologic probabilistic and deterministic information in decision-making RH Carr, K Semmens, B Montz, K Maxfield Bulletin of the American Meteorological Society 102 (10), E1878-E1896, 2021 | 3 | 2021 |
Passive Microwave Remote Sensing of Snowmelt and Melt‐Refreeze Using Diurnal Amplitude Variations KA Semmens, J Ramage, JD Apgar, KE Bennett, GE Liston, E Deeb Remote Sensing of the Terrestrial Water Cycle, 215-226, 2014 | 2 | 2014 |
A thermal-based remote sensing modelling system for estimating crop water use and stress from field to regional scales WP Kustas, MC Anderson, KA Semmens, JG Alfieri, F Gao, CR Hain, ... XXIX International Horticultural Congress on Horticulture: Sustaining Lives …, 2014 | 2 | 2014 |