Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Laura Ulsig, Caroline J. Nichol, Karl F. Huemmrich, David R. Landis, Elizabeth M. Middleton, Alexei I. Lyapustin, Ivan Mammarella, Janne Levula, Albert Porcar-Castell

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number49
JournalRemote Sensing
Volume9
Issue number1
Number of pages21
ISSN2072-4292
DOIs
Publication statusPublished - Jan 2017
MoE publication typeA1 Journal article-refereed

Fields of Science

  • phenology
  • MODIS
  • Photochemical Reflectance Index (PRI)
  • Normalized Difference Vegetation Index (NDVI)
  • ecosystem productivity
  • time series analysis
  • LIGHT-USE EFFICIENCY
  • PHOTOCHEMICAL REFLECTANCE INDEX
  • SCOTS PINE FOREST
  • RADIATION USE EFFICIENCY
  • DECIDUOUS FOREST
  • CARBON-DIOXIDE
  • PHOTOSYNTHETIC EFFICIENCY
  • MONITORING VEGETATION
  • MEDITERRANEAN FOREST
  • OPTICAL INDICATOR
  • 114 Physical sciences
  • 4112 Forestry
  • 1172 Environmental sciences

Cite this

Ulsig, Laura ; Nichol, Caroline J. ; Huemmrich, Karl F. ; Landis, David R. ; Middleton, Elizabeth M. ; Lyapustin, Alexei I. ; Mammarella, Ivan ; Levula, Janne ; Porcar-Castell, Albert. / Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series. In: Remote Sensing. 2017 ; Vol. 9, No. 1.
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title = "Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series",
keywords = "phenology, MODIS, Photochemical Reflectance Index (PRI), Normalized Difference Vegetation Index (NDVI), ecosystem productivity, time series analysis, LIGHT-USE EFFICIENCY, PHOTOCHEMICAL REFLECTANCE INDEX, SCOTS PINE FOREST, RADIATION USE EFFICIENCY, DECIDUOUS FOREST, CARBON-DIOXIDE, PHOTOSYNTHETIC EFFICIENCY, MONITORING VEGETATION, MEDITERRANEAN FOREST, OPTICAL INDICATOR, 114 Physical sciences, 4112 Forestry, 1172 Environmental sciences",
author = "Laura Ulsig and Nichol, {Caroline J.} and Huemmrich, {Karl F.} and Landis, {David R.} and Middleton, {Elizabeth M.} and Lyapustin, {Alexei I.} and Ivan Mammarella and Janne Levula and Albert Porcar-Castell",
year = "2017",
month = "1",
doi = "10.3390/rs9010049",
language = "English",
volume = "9",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "MDPI",
number = "1",

}

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series. / Ulsig, Laura; Nichol, Caroline J.; Huemmrich, Karl F.; Landis, David R.; Middleton, Elizabeth M.; Lyapustin, Alexei I.; Mammarella, Ivan; Levula, Janne; Porcar-Castell, Albert.

In: Remote Sensing, Vol. 9, No. 1, 49, 01.2017.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

AU - Ulsig, Laura

AU - Nichol, Caroline J.

AU - Huemmrich, Karl F.

AU - Landis, David R.

AU - Middleton, Elizabeth M.

AU - Lyapustin, Alexei I.

AU - Mammarella, Ivan

AU - Levula, Janne

AU - Porcar-Castell, Albert

PY - 2017/1

Y1 - 2017/1

KW - phenology

KW - MODIS

KW - Photochemical Reflectance Index (PRI)

KW - Normalized Difference Vegetation Index (NDVI)

KW - ecosystem productivity

KW - time series analysis

KW - LIGHT-USE EFFICIENCY

KW - PHOTOCHEMICAL REFLECTANCE INDEX

KW - SCOTS PINE FOREST

KW - RADIATION USE EFFICIENCY

KW - DECIDUOUS FOREST

KW - CARBON-DIOXIDE

KW - PHOTOSYNTHETIC EFFICIENCY

KW - MONITORING VEGETATION

KW - MEDITERRANEAN FOREST

KW - OPTICAL INDICATOR

KW - 114 Physical sciences

KW - 4112 Forestry

KW - 1172 Environmental sciences

U2 - 10.3390/rs9010049

DO - 10.3390/rs9010049

M3 - Article

VL - 9

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

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