CropPhenology: An R package for extracting crop phenology from time series remotely sensed vegetation index imagery S Araya, B Ostendorf, G Lyle, M Lewis Ecological informatics 46, 45-56, 2018 | 51 | 2018 |
Phenologic metrics derived from MODIS NDVI as indicators for plant available water-holding capacity S Araya, G Lyle, M Lewis, B Ostendorf Ecological Indicators 60, 1263-1272, 2016 | 43 | 2016 |
Remote Sensing Derived Phenological Metrics to Assess the Spatio-Temporal Crop Yield Variability S Araya, G Lyle, M Lewis, B Ostendorf Advances in Remote Sensing 6 (3), 212-228, 2017 | 12* | 2017 |
Crop phenology based on MODIS satellite imagery as an indicator of plant available water content S Araya, B Ostendorf, G Lyle, M Lewis 20th International Congress on Modelling and Simulation, 1896-1902, 2013 | 10 | 2013 |
Multi-temporal remote sensing for estimation of plant available water-holding capacity of soil SG Araya | 3 | 2017 |
CropPhenology: Extract phenologic metrics from timeseries vegetation index data S Araya, B Ostendorf, M Lewis, G Lyle | | 2019 |
PhenoMetrics: Phenologic metrics from time series vegetation index data S Araya | | 2019 |
Package ‘CropPhenology’ S Araya, B Ostendorf, G Lyle, M Lewis, MS Araya | | 2017 |
Time Series analysis of Satellite Imagery to improve agricultural soil management S Araya | | |