Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
Original languageEnglish
Pages (from-to)120-129
JournalInternational Journal of Applied Earth Observation and Geoinformation (JAG)
Volume74
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID

Cite this

@article{b04975a3446c48cea5f36f4ef63d3627,
title = "Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data",
keywords = "ITC-ISI-JOURNAL-ARTICLE, ITC-HYBRID",
author = "Xi Zhu and A.K. Skidmore and R. Darvishzadeh and Tiejun Wang",
year = "2019",
month = "2",
day = "1",
doi = "10.1016/j.jag.2018.09.008",
language = "English",
volume = "74",
pages = "120--129",
journal = "International Journal of Applied Earth Observation and Geoinformation (JAG)",
issn = "1569-8432",
publisher = "Elsevier",

}

TY - JOUR

T1 - Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data

AU - Zhu, Xi

AU - Skidmore, A.K.

AU - Darvishzadeh, R.

AU - Wang, Tiejun

PY - 2019/2/1

Y1 - 2019/2/1

KW - ITC-ISI-JOURNAL-ARTICLE

KW - ITC-HYBRID

UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1016/j.jag.2018.09.008

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/zhu_est.pdf

U2 - 10.1016/j.jag.2018.09.008

DO - 10.1016/j.jag.2018.09.008

M3 - Article

VL - 74

SP - 120

EP - 129

JO - International Journal of Applied Earth Observation and Geoinformation (JAG)

JF - International Journal of Applied Earth Observation and Geoinformation (JAG)

SN - 1569-8432

ER -