Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

17 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Faculty of Geo-Information Science and Earth Observation
  • University of Twente
Supervisors/Advisors
  • Verhoef (Emeritus), Wouter, Supervisor
  • van der Tol, Christiaan, Co-Supervisor
Award date5 Dec 2018
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-4687-4
DOIs
Publication statusPublished - 2018

Cite this

Bayat, B. (2018). Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036546874
Bayat, Bagher. / Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions. Enschede : University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2018. 181 p.
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title = "Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions",
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language = "English",
isbn = "978-90-365-4687-4",
series = "ITC Dissertation",
publisher = "University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)",
school = "Faculty of Geo-Information Science and Earth Observation, University of Twente",

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Bayat, B 2018, 'Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions', Doctor of Philosophy, Faculty of Geo-Information Science and Earth Observation, Enschede. https://doi.org/10.3990/1.9789036546874

Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions. / Bayat, Bagher.

Enschede : University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2018. 181 p.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

TY - THES

T1 - Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions

AU - Bayat, Bagher

PY - 2018

Y1 - 2018

U2 - 10.3990/1.9789036546874

DO - 10.3990/1.9789036546874

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-4687-4

T3 - ITC Dissertation

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

CY - Enschede

ER -

Bayat B. Quantitative Remote Sensing of Vegetation Properties and Functioning under Normal and Dry Conditions. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2018. 181 p. (ITC Dissertation). https://doi.org/10.3990/1.9789036546874