The effect of topography on arctic-alpine aboveground biomass and NDVI patterns

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• 作者：Henri Riihimä ; ki ; ^{henri.riihimaki@helsinki.fi} ; Janne Heiskanen ^{janne.heiskanen@helsinki.fi} ; Miska Luoto ^{miska.luoto@helsinki.fi}
• 关键词：Normalized difference vegetation index ; Digital elevation model ; DEM ; Treeline ; Phytomass
• 刊名：International Journal of Applied Earth Observation and Geoinformation
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：56
• 期：Complete
• 页码：44-53
• 全文大小：3523 K
• 卷排序：56

文摘

Topographic control behind biomass distribution was inspected with machine learning. BRT-models were used to test the effect of DEM-derived variables on AGB and NDVI. Topoclimatic variables, namely elevation and radiation, had the biggest influence. Topographic position and wetness showed minor influence on AGB and NDVI. Response curves of the NDVI models showed smoother response compared to AGB.