Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical paramters using Terra and Aqua MODIS reflectance data

Rasmus Houborg; Henrik Soegaard; Eva Bøgh

Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical paramters using Terra and Aqua MODIS reflectance data

Rasmus Houborg
, Henrik Soegaard
, Eva Bøgh

Miljødynamik

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

325 Citationer (Scopus)

Abstract

Udgivelsesdato: 1-Januar

Originalsprog	Engelsk
Tidsskrift	Remote Sensing of Environment
Vol/bind	106
Udgave nummer	1
Sider (fra-til)	39-58
Antal sider	19
ISSN	0034-4257
Status	Udgivet - 2007

Emneord

remote sensing
klorofyl estimering
blad areal index estimering

Citationsformater

@article{b18c3510c7dc11db89e1000ea68e967b,

title = "Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical paramters using Terra and Aqua MODIS reflectance data",

abstract = "Udgivelsesdato: 1-Januar",

keywords = "remote sensing, klorofyl estimering, blad areal index estimering, remote sensing, chlorophyll estimation, leaf area index estimation",

author = "Rasmus Houborg and Henrik Soegaard and Eva B{\o}gh",

year = "2007",

language = "English",

volume = "106",

pages = "39--58",

journal = "Remote Sensing of Environment",

issn = "0034-4257",

publisher = "Elsevier Inc.",

number = "1",

}

TY - JOUR

T1 - Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical paramters using Terra and Aqua MODIS reflectance data

AU - Houborg, Rasmus

AU - Soegaard, Henrik

AU - Bøgh, Eva

PY - 2007

Y1 - 2007

N2 - Udgivelsesdato: 1-Januar

AB - Udgivelsesdato: 1-Januar

KW - remote sensing

KW - klorofyl estimering

KW - blad areal index estimering

KW - remote sensing

KW - chlorophyll estimation

KW - leaf area index estimation

M3 - Journal article

SN - 0034-4257

VL - 106

SP - 39

EP - 58

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

IS - 1

ER -