Quantitative remote sensing of forest leaf functional traits : leaf dry matter content and specific leaf area

A.M. Ali

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

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	Skidmore, Andrew , Supervisor Darvish (Darvishzadeh), Roshanak, Advisor
Award date	6 Oct 2016
Place of Publication	Enschede
Publisher	University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Print ISBNs	978-90-365-4209-8
Publication status	Published - 6 Oct 2016

Keywords

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title = "Quantitative remote sensing of forest leaf functional traits : leaf dry matter content and specific leaf area",

keywords = "METIS-321128",

author = "A.M. Ali",

note = "ITC Dissertation; 289",

year = "2016",

month = oct,

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language = "English",

isbn = "978-90-365-4209-8",

series = "ITC Dissertation",

publisher = "University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)",

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}

TY - THES

T1 - Quantitative remote sensing of forest leaf functional traits : leaf dry matter content and specific leaf area

AU - Ali, A.M.

N1 - ITC Dissertation; 289

PY - 2016/10/6

Y1 - 2016/10/6

KW - METIS-321128

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-4209-8

T3 - ITC Dissertation

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

CY - Enschede

ER -