Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time

Hamed Mehdi Poor

Research output: Thesis › PhD Thesis - Research UT, graduation UT

51 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Faculty of Geo-Information Science and Earth Observation
  • University of Twente
Supervisors/Advisors
  • Zurita-Milla, Raul, Supervisor
  • Augustijn, Ellen-Wien, Supervisor
Award date30 Jan 2019
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-4717-8
DOIs
Publication statusPublished - 30 Jan 2019

Cite this

Mehdi Poor, H. (2019). Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036547178
Mehdi Poor, Hamed. / Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time. Enschede : University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2019. 147 p.
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Mehdi Poor, H 2019, 'Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time', Doctor of Philosophy, Faculty of Geo-Information Science and Earth Observation, Enschede. https://doi.org/10.3990/1.9789036547178

Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time. / Mehdi Poor, Hamed.

Enschede : University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2019. 147 p.

Research output: Thesis › PhD Thesis - Research UT, graduation UT

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T1 - Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time

AU - Mehdi Poor, Hamed

PY - 2019/1/30

Y1 - 2019/1/30

U2 - 10.3990/1.9789036547178

DO - 10.3990/1.9789036547178

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-4717-8

T3 - ITC Dissertation

PB - University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)

CY - Enschede

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Mehdi Poor H. Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2019. 147 p. (ITC Dissertation; 341). https://doi.org/10.3990/1.9789036547178

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