Estimating forest data for analyses of forest production and utilization possibilities at local level by means of multi-source National Forest Inventory

Mäkelä, Helena; Hirvelä, Hannu; Nuutinen, Tuula; Kärkkäinen, Leena

doi:10.1016/j.foreco.2011.06.027

Cited by 23 publications

(20 citation statements)

References 47 publications

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“…Over the last four decades, fundamental research on the applicability of satellite remote sensing observations for forest parameter estimation have been conducted within the framework of numerous case studies [9,10]. Based on extensive calibration/validation experiments and technological innovation, new satellite missions (i.e., Sentinels, EnMAP, FLEX, TanDEM-L/or see Section 3) have been proposed, are under development, scheduled for launch or already operating [11,12].…”

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confidence: 99%

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

et al. 2016

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For mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quantity, operational applications are still limited by deficits of in situ verification. In situ sampling data as input is required in order to add value to physical imaging remote sensing observations and possibilities to interlink the forest health assessment with biotic and abiotic factors. Numerous methods on how to link remote sensing and in situ data have been presented in the scientific literature using e.g. empirical and physical-based models. In situ data differs in type, quality and quantity between case studies. The irregular subsets of in situ data availability limit the exploitation of available satellite remote sensing data. To achieve a broad implementation of satellite remote sensing data in forest monitoring and management, a standardization of in situ data, workflows and products is essential and necessary for user acceptance. The key focus of the review is a discussion of concept and is designed to bridge gaps of understanding between forestry and remote sensing science community. Methodological approaches for in situ/remote-sensing implementation are organized and evaluated with respect to qualifying for forest monitoring. Research gaps and recommendations for standardization of remote-sensing based products are discussed. Concluding the importance of outstanding organizational work to provide a legally accepted framework for new information products in forestry are highlighted.

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confidence: 99%

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

et al. 2016

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“…Similar developments have occurred in the Nordic countries, i.e. Norway (Gjertsen 2007) and Finland (Tomppo et al 2010;Mäkelä et al 2011). Along with the Nordic NFIs, the American NFI was also started in the 1920s, whereas a sample-based NFI was not initiated in Canada until 1981 (Magnussen et al 2009;Gillis et al p. 97-111, in Tomppo et al 2010).…”

Section: Introductionmentioning

confidence: 83%

Adapting National Forest Inventories to changing requirements – the case of the Swedish National Forest Inventory at the turn of the 20th century

Fridman¹,

Holm²,

Nilsson³

et al. 2014

Silva Fenn.

201

162

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• National Forest Inventories supply invaluable long term time series of forest state. Recent developments and international harmonization of modern NFIs widen the scope to even include ecosystem goods, e.g. biodiversity and carbon sequestration. The combination of NFI field data with remote sensing techniques can give good estimates for areas smaller than national and regional level. AbstractNational Forest Inventories (NFIs) are becoming increasingly important worldwide in order to provide information about the multiple functions of forests, e.g. their provision of raw materials to industry, biodiversity and their capacity to store carbon for mitigating climate change. In several countries the history of NFIs is very long. For these countries a specific challenge is to keep the inventories up-to-date without sacrificing the advantages associated with long time series. At the turn of the 20th century European NFIs faced some major challenges. In this article we describe the history and the recent developments of the Swedish NFI as an example from which general observations are made and discussed. The Swedish NFI started in 1923 and has evolved from an inventory with a narrow focus on wood resources to an inventory today which aims to provide information about all major forest ecosystem services. It can be concluded that the traditional approaches of most European NFIs, e.g. to collect data through sample plot field inventories, has proved to be applicable even for a wide range of new information requirements. Specifically, detailed data about land use, trees, vegetation, and soils has found new important uses in connection with biodiversity assessments and the estimation of greenhouse gas emissions. Though time-consuming and difficult, making NFI information comparable across countries through harmonization appears to be a useful approach. The European National Forest Inventory Network (ENFIN) was formed in 2003 and has been successful in pan-European NFI harmonization.

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“…2008;Mäkelä et al 2011). For example, the limited point accuracy of the satellite image-based estimation of forest variables has so far limited the analysis of the potential of small trees harvested for energy wood.…”

Section: Discussionmentioning

confidence: 99%

“…To proceed in using operational kinds of treatment units, image segmentation techniques can be applied first, after which an aggregation of forest attributes (including biomass variables) is possible. Estimating forest attributes at the segment level based on Landsat TM satellite data and the k-NN method has also been investigated by Mäkelä et al (2011), who found that the k-NN method offers a promising approach to estimating initial data for scenario analyses at the local level.…”

Section: Introductionmentioning

confidence: 99%

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

Muinonen¹,

Anttila²,

Heinonen³

et al. 2013

Silva Fenn.

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The technical potential of forest chips from final fellings in Central Finland was estimated using a method based on biomass maps derived from a multi-source forest inventory technique. Image segmentation techniques were applied to a satellite image mosaic to detect stand boundaries. The technical potential of forest chips was computed based on primary forestry residues, i.e. logging residues and stumps from final fellings. Harvesting level definitions for final fellings were established using realized statistics for roundwood at the municipality level as well as larger area statistics. The sensitivity of the potential to ecological and technical constraints in the model was also examined. The technical recovery rate of stump harvesting according to biomass harvesting guidelines was evaluated separately. The critical prerequisites for using the advanced, spatially explicit approach to analysing forest energy potentials may lie in the existence of spatially explicit forest inventory data and the biometric models for tree biomass assortments. The method applied was capable of taking into account the constraints that rely upon map data, such the actual forwarding distance or steepness of the slope in the terrain. The calculation results can be used for strategic decision making in the field of forest bioenergy production.

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Estimating forest data for analyses of forest production and utilization possibilities at local level by means of multi-source National Forest Inventory

Cited by 23 publications

References 47 publications

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

Adapting National Forest Inventories to changing requirements – the case of the Swedish National Forest Inventory at the turn of the 20th century

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

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