Assessment of the MODIS Leaf Area Index Product (MOD15) in Alaska

The Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) Product (MOD15A2) was evaluated for the growing seasons of 2000 through 2004 in Alaska. The LAI estimate may be affected by three factors not directly related to canopy leaf area: snow melt, cloud contamination and conifer forest versus broadleaf shrub canopy type. Increases in MODIS LAI values occurred during the snowmelt period, prior to leaf flush along an elevation gradient in central Alaska. This false LAI increase prior to broadleaf budburst could lead to an overestimate of growing season length based on the MODIS LAI product. During the spring greenup period, there were temporal dips in MODIS LAI estimates for up to 57% of the pixels. This decrease in MODIS LAI value was likely due to cloud contamination, despite use of the MODIS quality control information to select pixels that were cloud‐free. The MODIS LAI algorithm may be sensitive to variation in near‐infrared reflectance due to canopy type rather than leaf area. For example, coniferous boreal forests typically have a higher LAI than shrub tundra. However, the maximum seasonal LAI estimate from the MODIS product was consistently higher from shrub tundra areas compared to coniferous boreal forest areas. There was a strong correlation of the MODIS LAI estimate with MODIS near‐infrared reflectance among conifer and broadleaf shrub frames. This could lead to overestimates of LAI in areas where coniferous forest is replaced by broadleaf shrub following wildfire in boreal forest regions.

[1]  R. Jackson,et al.  Spectral response of a plant canopy with different soil backgrounds , 1985 .

[2]  S. Running,et al.  Forest ecosystem processes at the watershed scale: Sensitivity to remotely-sensed leaf area index estimates , 1993 .

[3]  W. Bausch Soil background effects on reflectance-based crop coefficients for corn☆ , 1993 .

[4]  Josef Cihlar,et al.  Detection and removal of cloud contamination from AVHRR images , 1994, IEEE Trans. Geosci. Remote. Sens..

[5]  Jesslyn F. Brown,et al.  Measuring phenological variability from satellite imagery , 1994 .

[6]  S. Running,et al.  Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .

[7]  C. Justice,et al.  Validating MODIS Terrestrial Ecology Products: Linking In Situ and Satellite Measurements , 1999 .

[8]  S. Running,et al.  MODIS Leaf Area Index (LAI) And Fraction Of Photosynthetically Active Radiation Absorbed By Vegetation (FPAR) Product , 1999 .

[9]  A. Hope Response of the normalized difference vegetation index to varying cloud conditions in Arctic tundra environments , 1999 .

[10]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[11]  E. Kasischke,et al.  Analysis of the patterns of large fires in the boreal forest region of Alaska , 2002 .

[12]  C. Woodcock,et al.  Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment , 2002 .

[13]  Steven W. Running,et al.  A regional phenology model for detecting onset of greenness in temperate mixed forests, Korea: an application of MODIS leaf area index , 2003 .

[14]  J. Hicke,et al.  Global synthesis of leaf area index observations: implications for ecological and remote sensing studies , 2003 .

[15]  Steven W. Running,et al.  Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products , 2003 .

[16]  Y. Knyazikhin,et al.  Effect of foliage spatial heterogeneity in the MODIS LAI and FPAR algorithm over broadleaf forests , 2003 .

[17]  C. Woodcock,et al.  Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland , 2004 .

[18]  Scott J. Goetz,et al.  Comparison and sensitivity analysis of instruments and radiometric methods for LAI estimation: assessments from a boreal forest site , 2004 .

[19]  Thompson,et al.  Structural complexity and land-surface energy exchange along a gradient from arctic tundra to boreal forest , 2022 .