Hamed Mehdipoor
Cited by
Cited by
Lilac and honeysuckle phenology data 1956–2014
AH Rosemartin, EG Denny, JF Weltzin, RL Marsh, BE Wilson, ...
Scientific data 2 (1), 1-8, 2015
Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study
H Mehdipoor, R Zurita-Milla, A Rosemartin, KL Gerst, JF Weltzin
PLoS One 10 (10), e0140811, 2015
Elephant poaching risk assessed using spatial and non-spatial Bayesian models
P Rashidi, T Wang, A Skidmore, H Mehdipoor, R Darvishzadeh, S Ngene, ...
Ecological modelling 338, 60-68, 2016
Emerging technologies for biometeorology
H Mehdipoor, JK Vanos, R Zurita-Milla, G Cao
International journal of biometeorology 61 (1), 81-88, 2017
Checking the consistency of volunteered phenological observations while analysing their synchrony
H Mehdipoor, R Zurita-Milla, EW Augustijn, AJH Van Vliet
ISPRS international journal of geo-information 7 (12), 487, 2018
Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States
H Mehdipoor, R Zurita‐Milla, E Izquierdo‐Verdiguier, JL Betancourt
International journal of climatology 38 (14), 5430-5440, 2018
Enhancing the teaching and learning of biometeorology in higher education
DR Perkins IV, J Vanos, C Fuhrmann, M Allen, D Knight, CC Lee, A Lees, ...
Bulletin of the American Meteorological Society 98 (9), ES239-ES242, 2017
Continental-Scale Monitoring and Mapping of False Spring: A Cloud Computing Solution
H Mehdipoor, E Izquierdo-Verdiguier, R Zurita-Milla
GeoComputation 2017, 2017
Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time
H Mehdi Poor
University of Twente, Faculty of Geo-Information Science and Earth …, 2019
Supporting sustainability initiatives through biometeorology education and training
MJ Allen, J Vanos, DM Hondula, DJ Vecellio, D Knight, H Mehdipoor, ...
International Journal of Biometeorology 61 (1), 93-106, 2017
Continental-scale monitoring and mapping of false spring: a cloud computing solution+ powerpoint
H Mehdipoor, E Izquierdo-Verdiguier, R Zurita-Milla
2017 International Conference on GeoComputation, GeoComputation 2017 …, 2017
Analyzing Phenological Synchronicity Using Volunteered Geographic Information
H Mehdipoor, R Zurita-Milla, EW Augustijn, A Van Vliet
Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series
H Mehdipoor, R Zurita-Milla, EW Augustijn, E Izquierdo-Verdiguier
International Journal of Biometeorology 64 (3), 409-421, 2020
Exploring the Influence of Source and Scale of Phenological Model Inputs at Continental Scale. GeoComputation 2019
H Mehdipoor, R Zurita-Milla, E Izquierdo-Verdiguier, J L Betancourt
The University of Auckland, 2019
Vrijwilligers leveren betrouwbare fenologische waarnemingen voor klimaatonderzoek
AJH van Vliet, H Mehdipoor, R Zurita-Milla, EW Augustijn
Emerging technologies for biometeorology: powerpoint
H Mehdipoor, JK Vanos, R Zurita-Milla, G Cao
Revisiting the extended spring indices using gridded weather data and machine learning
H Mehdipoor, E Izquierdo-Verdiguier, R Zurita-Milla
EGUGA, EPSC2016-16698, 2016
A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014
A Rosemartin, EG Denny, JF Weltzin, L Marsh, BE Wilson, H Mehdipoor, ...
Scientific Data 2, 2015
Developing a geocomputational workflow to check the consistency of volunteered geographic information
H Mehdipoor, R Zurita-Milla, MJ Kraak
Proceedings of the 13th international conference on GeoComputation …, 2015
Phenological modelling using volunteered observations and machine learning methods
R Zurita-Milla, E Izquierdo-Verdiguier, H Mehdipoor
Phenology 2015: third international conference on phenology, 5-8 October …, 2015
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