Estimating forest leaf area index using satellite images : comparison of k-NN based Landsat-NFI LAI with MODIS-RSR based LAI product for Finland

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http://hdl.handle.net/10138/165218

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Härkönen , S , Lehtonen , A , Manninen , T , Tuominen , S & Peltoniemi , M 2015 , ' Estimating forest leaf area index using satellite images : comparison of k-NN based Landsat-NFI LAI with MODIS-RSR based LAI product for Finland ' , Boreal Environment Research , vol. 20 , no. 2 , pp. 181-195 . < http://www.borenv.net/BER/ber202.htm >

Title: Estimating forest leaf area index using satellite images : comparison of k-NN based Landsat-NFI LAI with MODIS-RSR based LAI product for Finland
Author: Härkönen, Sanna; Lehtonen, Aleksi; Manninen, Terhikki; Tuominen, Sakari; Peltoniemi, Mikko
Contributor: University of Helsinki, Department of Forest Sciences
Date: 2015
Language: eng
Number of pages: 15
Belongs to series: Boreal Environment Research
ISSN: 1239-6095
URI: http://hdl.handle.net/10138/165218
Abstract: Leaf area index (LAI) is a key variable for many ecological models, but it is typically not available from basic forest inventories. In this study, we (1) construct a high-resolution LAI map using k nearest-neighbor (k-NN) imputation based on National Forest Inventory data and Landsat 5 TM images (Landsat-NFI LAI), and (2) examine a moderate-resolution LAI map produced based on reduced simple ratio derived from MODIS reflectances (MODIS-RSR LM). The maps cover all the forested areas in Finland. Country-level averages of Landsat-NFI and MODIS-RSR LAI were at same level, but several geographical and land-use related differences between them were detected. Difference was the largest in the lake district of Finland and in northern Finland, and it increased with decreasing share of forests and increasing share of deciduous trees. As MODIS-RSR LAI does not take into account the sub-pixel variation in land use, Landsat-NFI LAI was found to produce more reliable estimates.
Subject: CLOUD-COVER ASSESSMENT
SCOTS PINE
LIGHT INTERCEPTION
SHOOT STRUCTURE
BOREAL FORESTS
REFLECTANCE MODEL
BIOMASS EQUATIONS
NORWAY SPRUCE
ABSORBED PAR
SILVER BIRCH
4112 Forestry
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