Articles with public access mandates - Catherine ChampagneLearn more
Not available anywhere: 5
Object-based crop classification using multi-temporal SPOT-5 imagery and textural features with a Random Forest classifier
H Zhang, Q Li, J Liu, X Du, T Dong, H McNairn, C Champagne, M Liu, ...
Geocarto International 33 (10), 1017-1035, 2018
Mandates: National Natural Science Foundation of China
Satellite and in situ derived corn and soybean biomass and leaf area index: Response to controlled tile drainage under varying weather conditions
A Kross, DR Lapen, H McNairn, M Sunohara, C Champagne, G Wilkes
Agricultural Water Management 160, 118-131, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Canola yield sensitivity to climate indicators and passive microwave-derived soil moisture estimates in Saskatchewan, Canada
J White, AA Berg, C Champagne, J Warland, Y Zhang
Agricultural and Forest Meteorology 268, 354-362, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada, Canada First …
Impact of sub-pixel heterogeneity on modelled brightness temperature for an agricultural region
SK Roy, TL Rowlandson, AA Berg, C Champagne, JR Adams
International journal of applied earth observation and geoinformation 45 …, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Evaluating the utility of remotely sensed soil moisture for the characterization of runoff response over Canadian watersheds
E Wadsworth, C Champagne, AA Berg
Canadian Water Resources Journal/Revue canadienne des ressources hydriques …, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Available somewhere: 5
Image classification using rapideye data: Integration of spectral and textual features in a random forest classifier
H Zhang, Q Li, J Liu, J Shang, X Du, H McNairn, C Champagne, T Dong, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Mandates: National Natural Science Foundation of China
Spatial variability mapping of crop residue using Hyperion (EO-1) hyperspectral data
A Bannari, K Staenz, C Champagne, KS Khurshid
Remote Sensing 7 (6), 8107-8127, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies
J White, AA Berg, C Champagne, Y Zhang, A Chipanshi, B Daneshfar
International Journal of Applied Earth Observation and Geoinformation 89, 102092, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, Canada First …
How climatic and sociotechnical factors influence crop production: a case study of canola production
KB KC, D Montocchio, A Berg, EDG Fraser, B Daneshfar, C Champagne
SN Applied Sciences 2, 1-9, 2020
Mandates: Canada First Research Excellence Fund
A machine learning framework for predicting and understanding the Canadian drought monitor
J Mardian, C Champagne, B Bonsal, A Berg
Water Resour. Res 59, e2022WR033847, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada, Canada First …
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