Authors: Chen, X.¹; Vierling, L.²; Deering, D.³; Conley, A.⁴

Source: International Journal of Remote Sensing, Volume 26, Number 24, 2005 , pp. 5433-5451(19)

Publisher: Taylor and Francis Ltd

Abstract:

Landscapes containing differing amounts of ecological disturbance provide an excellent opportunity to validate and better understand the emerging Moderate Resolution Imaging Spectrometer (MODIS) vegetation products. Four sites, including 1-year post-fire coniferous, 13-year post-fire deciduous, 24-year post-fire deciduous, and >100 year old post-fire coniferous forests, were selected to serve as a post-fire chronosequence in the central Siberian region of Krasnoyarsk (57.3°N, 91.6°E) with which to study the MODIS leaf area index (LAI) and vegetation index (VI) products. The collection 4 MODIS LAI product correctly represented the summer site phenologies, but significantly underestimated the LAI value of the >100 year old coniferous forest during the November to April time period. Landsat 7-derived enhanced vegetation index (EVI) performed better than normalized difference vegetation index (NDVI) to separate the deciduous and conifer forests, and both indices contained significant correlation with field-derived LAI values at coniferous forest sites ( r 2  = 0.61 and r 2  = 0.69, respectively). The reduced simple ratio (RSR) markedly improved LAI prediction from satellite measurements ( r 2  = 0.89) relative to NDVI and EVI. LAI estimates derived from ETM+ images were scaled up to evaluate the 1 km resolution MODIS LAI product; from this analysis MODIS LAI overestimated values in the low LAI deciduous forests (where LAI 6). Our results indicate that further research on the MODIS LAI product is warranted to better understand and improve remote LAI quantification in disturbed forest landscapes over the course of the year.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/01431160500285142

Affiliations: 1: Institute of Atmospheric Sciences, South Dakota School of Mines and Technology, Rapid City, South Dakota, 57701, USA 2: Current address: College of Natural Resources, University of Idaho, Moscow, Idaho, 83844, USA 3: NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA 4: SSAI, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA

Publication date: 2005-12-01

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