Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland

Yujie Wang (Corresponding Author), Curtis E. Woodcock, Wolfgang Buermann, Pauline Stenberg, Pekka Voipio, Heikki Smolander, Tuomas Häme, Yuhong Tian, Jiannan Hu, Yuri Knyazikhin, Ranga B. Myneni

Research output: Contribution to journalArticleScientificpeer-review

193 Citations (Scopus)

Abstract

Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14–21, 2000, was used to validate Moderate Resolution Imaging Spectroradiometer (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests.

Original languageEnglish
Pages (from-to)114 - 127
Number of pages14
JournalRemote Sensing of Environment
Volume91
Issue number1
DOIs
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed

Fingerprint

moderate resolution imaging spectroradiometer
coniferous forest
leaf area index
MODIS
coniferous forests
Finland
Imaging techniques
Needles
evaluation
Infrared radiation
segmentation
understory
leaves
heat
vegetation

Keywords

  • coniferous forest site
  • Finland
  • MODIS LAI
  • leaf area index
  • MODIS algorithm
  • algorithms

Cite this

Wang, Y., Woodcock, C. E., Buermann, W., Stenberg, P., Voipio, P., Smolander, H., ... Myneni, R. B. (2004). Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. Remote Sensing of Environment, 91(1), 114 - 127. https://doi.org/10.1016/j.rse.2004.02.007
Wang, Yujie ; Woodcock, Curtis E. ; Buermann, Wolfgang ; Stenberg, Pauline ; Voipio, Pekka ; Smolander, Heikki ; Häme, Tuomas ; Tian, Yuhong ; Hu, Jiannan ; Knyazikhin, Yuri ; Myneni, Ranga B. / Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. In: Remote Sensing of Environment. 2004 ; Vol. 91, No. 1. pp. 114 - 127.
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abstract = "Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14–21, 2000, was used to validate Moderate Resolution Imaging Spectroradiometer (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests.",
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Wang, Y, Woodcock, CE, Buermann, W, Stenberg, P, Voipio, P, Smolander, H, Häme, T, Tian, Y, Hu, J, Knyazikhin, Y & Myneni, RB 2004, 'Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland', Remote Sensing of Environment, vol. 91, no. 1, pp. 114 - 127. https://doi.org/10.1016/j.rse.2004.02.007

Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. / Wang, Yujie (Corresponding Author); Woodcock, Curtis E.; Buermann, Wolfgang; Stenberg, Pauline; Voipio, Pekka; Smolander, Heikki; Häme, Tuomas; Tian, Yuhong; Hu, Jiannan; Knyazikhin, Yuri; Myneni, Ranga B.

In: Remote Sensing of Environment, Vol. 91, No. 1, 2004, p. 114 - 127.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland

AU - Wang, Yujie

AU - Woodcock, Curtis E.

AU - Buermann, Wolfgang

AU - Stenberg, Pauline

AU - Voipio, Pekka

AU - Smolander, Heikki

AU - Häme, Tuomas

AU - Tian, Yuhong

AU - Hu, Jiannan

AU - Knyazikhin, Yuri

AU - Myneni, Ranga B.

PY - 2004

Y1 - 2004

N2 - Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14–21, 2000, was used to validate Moderate Resolution Imaging Spectroradiometer (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests.

AB - Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14–21, 2000, was used to validate Moderate Resolution Imaging Spectroradiometer (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests.

KW - coniferous forest site

KW - Finland

KW - MODIS LAI

KW - leaf area index

KW - MODIS algorithm

KW - algorithms

U2 - 10.1016/j.rse.2004.02.007

DO - 10.1016/j.rse.2004.02.007

M3 - Article

VL - 91

SP - 114

EP - 127

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 1

ER -

Wang Y, Woodcock CE, Buermann W, Stenberg P, Voipio P, Smolander H et al. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. Remote Sensing of Environment. 2004;91(1):114 - 127. https://doi.org/10.1016/j.rse.2004.02.007