Tyler A. Erickson
Cited by
Cited by
Persistence of topographic controls on the spatial distribution of snow in rugged mountain terrain, Colorado, United States
TA Erickson, MW Williams, A Winstral
Water Resources Research 41 (4), 2005
Climate engine: Cloud computing and visualization of climate and remote sensing data for advanced natural resource monitoring and process understanding
JL Huntington, KC Hegewisch, B Daudert, CG Morton, JT Abatzoglou, ...
Bulletin of the American Meteorological Society 98 (11), 2397-2410, 2017
A dynamic Landsat derived normalized difference vegetation index (NDVI) product for the conterminous United States
NP Robinson, BW Allred, MO Jones, A Moreno, JS Kimball, DE Naugle, ...
Remote sensing 9 (8), 863, 2017
Validation of a 30 m resolution flood hazard model of the conterminous U nited S tates
OEJ Wing, PD Bates, CC Sampson, AM Smith, KA Johnson, TA Erickson
Water Resources Research 53 (9), 7968-7986, 2017
Satellite imaging reveals increased proportion of population exposed to floods
B Tellman, JA Sullivan, C Kuhn, AJ Kettner, CS Doyle, GR Brakenridge, ...
Nature 596 (7870), 80-86, 2021
The shallow ground water chemistry of arsenic, fluorine, and major elements: Eastern Owens Lake, California
DB Levy, JA Schramke, KJ Esposito, TA Erickson, JC Moore
Applied Geochemistry 14 (1), 53-65, 1999
Terrestrial primary production for the conterminous United States derived from Landsat 30 m and MODIS 250 m
NP Robinson, BW Allred, WK Smith, MO Jones, A Moreno, TA Erickson, ...
Remote Sensing in Ecology and Conservation 4 (3), 264-280, 2018
Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive
J Huntington, K McGwire, C Morton, K Snyder, S Peterson, T Erickson, ...
Remote sensing of Environment 185, 186-197, 2016
Visualizing meltwater flow through snow at the centimetre‐to‐metre scale using a snow guillotine
MW Williams, TA Erickson, JL Petrzelka
Hydrological Processes 24 (15), 2098-2110, 2010
Mapping croplands of Europe, middle east, russia, and central asia using landsat, random forest, and google earth engine
AR Phalke, M Özdoğan, PS Thenkabail, T Erickson, N Gorelick, K Yadav, ...
ISPRS Journal of Photogrammetry and Remote Sensing 167, 104-122, 2020
Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty
BW Allred, BT Bestelmeyer, CS Boyd, C Brown, KW Davies, MC Duniway, ...
Methods in Ecology and Evolution 12 (5), 841-849, 2021
EEFlux: A Landsat-based Evapotranspiration mapping tool on the Google Earth Engine
RG Allen, C Morton, B Kamble, A Kilic, J Huntington, D Thau, N Gorelick, ...
2015 ASABE/IA Irrigation Symposium: Emerging Technologies for Sustainable …, 2015
A summary of the special issue on remote sensing of land change science with Google earth engine
L Wang, C Diao, G Xian, D Yin, Y Lu, S Zou, TA Erickson
Remote Sensing of Environment 248, 112002, 2020
The spatial and temporal variability of meltwater flow paths: Insights from a grid of over 100 snow lysimeters
RW Webb, MW Williams, TA Erickson
Water Resources Research 54 (2), 1146-1160, 2018
Modeling regional-scale wildland fire emissions with the Wildland Fire Emissions Information System
NHF French, D McKenzie, T Erickson, B Koziol, M Billmire, KA Endsley, ...
Earth Interactions 18 (16), 1-26, 2014
Openet: Filling a critical data gap in water management for the western united states
FS Melton, J Huntington, R Grimm, J Herring, M Hall, D Rollison, ...
JAWRA Journal of the American Water Resources Association, 2021
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing
L Laipelt, RHB Kayser, AS Fleischmann, A Ruhoff, W Bastiaanssen, ...
ISPRS Journal of Photogrammetry and Remote Sensing 178, 81-96, 2021
Comparison of the automatically calibrated Google Evapotranspiration Application—EEFlux and the manually calibrated METRIC application
F Foolad, P Blankenau, A Kilic, RG Allen, JL Huntington, TA Erickson, ...
Preprints, 2018
Rangeland productivity partitioned to sub-pixel plant functional types
NP Robinson, MO Jones, A Moreno, TA Erickson, DE Naugle, BW Allred
Remote Sensing 11 (12), 1427, 2019
Global 30m height above the nearest drainage
G Donchyts, H Winsemius, J Schellekens, T Erickson, H Gao, H Savenije, ...
Proceedings of the EGU General Assembly, 2016
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Articles 1–20