Evaluating the temporal accuracy of grassland to cropland change detection using multitemporal image analysis J Mardian, A Berg, B Daneshfar Remote Sensing of Environment 255, 112292, 2021 | 24 | 2021 |
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 | 7 | 2023 |
The role of spatial scale in drought monitoring and early warning systems: a review J Mardian Environmental Reviews 30 (3), 438-459, 2022 | 7 | 2022 |
Understanding the drivers of drought onset and intensification in the canadian prairies: insights from explainable artificial intelligence (XAI) J Mardian, C Champagne, B Bonsal, A Berg Journal of Hydrometeorology 24 (11), 2035-2055, 2023 | 2 | 2023 |
Drought Monitoring and Agricultural Risk Assessment in the Canadian Prairies Using Earth Observation and Machine Learning J Mardian University of Guelph, 2023 | 1 | 2023 |
From drought hazard to risk: A spring wheat vulnerability assessment in the Canadian Prairies J Mardian, C Champagne, B Bonsal, B Daneshfar, A Berg Agricultural and Forest Meteorology 353, 110056, 2024 | | 2024 |
Long-term citizen science data reveals environmental controls on tropical tree flowering at the regional scale K Anujan, J Mardian, C Luo, R Ramraj, ... bioRxiv, 2023.03. 24.533907, 2023 | | 2023 |
Environmental correlates of tree reproductive phenology in a tropical state of India-insights from a citizen science project K Anujan, J Mardian, C Luo, R Ramraj, H Tasic, N Akseer, G Ramaswami | | 2023 |
Using Weighing Lysimeters to Link Vegetation Indices with Evapotranspiration Measurements B Miller, A Berg, C Wagner-Riddle, J Ambadan Thomas, J Mardian, ... AGU Fall Meeting Abstracts 2021, H55M-0873, 2021 | | 2021 |
Agricultural Risk Assessments Based on the Canadian Drought Monitor: A Bayesian Neural Network Approach J Mardian, C Champagne, B Bonsal, B Daneshfar, A Berg Available at SSRN 4583872, 0 | | |