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

202 Citations (Scopus)


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
Issue number1
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed


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

Fingerprint Dive into the research topics of 'Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland'. Together they form a unique fingerprint.

Cite this