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Erkki Tomppo

Finnish Forest Research Institute

146

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5032

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Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam

2020 Remote Sensing
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Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment

2019 Remote Sensing
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A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

2016 Remote Sensing of Environment
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A questionnaire-based review of the operational use of remotely sensed data by national forest inventories

2016 Remote Sensing of Environment
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Structural factors driving boreal forest albedo in Finland

2016 Remote Sensing of Environment
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Variation in understory and canopy reflectance during stand development in Finnish coniferous forests

2015 Canadian Journal of Forest Research
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Optimizing the Location of Forest Biomass-based CHP Production Plants in Finland

2015
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Effects of forest age on albedo in boreal forests estimated from MODIS and Landsat albedo retrievals

2014 Remote Sensing of Environment
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Indicators of Forest Biodiversity: Which Bird Species Predict High Breeding Bird Assemblage Diversity in Boreal Forests at Multiple Spatial Scales?

2014 Annales Zoologici Fennici
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Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification

2014 Isprs Journal of Photogrammetry and Remote Sensing
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Citations (26)