Improving the accuracy of multisource forest inventory estimates to reducing plot location error — a multicriteria approach

Halme, Merja; Tomppo, Erkki

doi:10.1016/s0034-4257(01)00227-9

Cited by 62 publications

(26 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Relatively low age thresholds have been applied in the formulas (3) and (7) due to a tendency towards mean of the multi-source estimates (Tomppo et al 1998). A method has been currently derived to reduce this effect (Halme and Tomppo 2001). This new method with multi-temporal estimates will be applied in the forthcoming studies.…”

Section: Discussionmentioning

confidence: 99%

Spatial ecology of the three-toed woodpecker in managed forest landscapes

Pakkala¹,

Hanski²,

Tomppo³

2002

Silva Fenn.

Self Cite

View full text Add to dashboard Cite

The effects of landscape structure and forestry on the abundance and dynamics of boreal forest bird species have been studied widely, but there are relatively few studies in which the spatial structure and quality of the landscape have been related to the spatial ecology of bird species. In this paper, we present methods to measure territory and landscape quality for the three-toed woodpecker (Picoides tridactylus) and similar territorial forest bird species based on data from the Finnish multi-source national forest inventory and metapopulation theory. The three-toed woodpecker was studied with territory mapping within an area of 340 square km in southern Finland in 1987-2000. Altogether 195 breeding territory sites were observed. The spatial occurrence of the territories was aggregated, and the highest densities were observed in spruce-dominated old-growth forest areas. Both territory and landscape quality had signifi cant consequences for the occurrence of the three-toed woodpecker. The spatial patterning and permanence of breeding and non-breeding territories were infl uenced by a combination of spatial dynamics of the species and the quality of the landscape, the latter being much infl uenced by forestry. The landscape-level spatial occurrence of the three-toed woodpecker in the study area may represent source-sink dynamics. The results of this paper suggest the presence of threshold values at different spatial scales, which may determine the occurrence of the three-toed woodpecker and similar species in managed forest landscapes.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial ecology of the three-toed woodpecker in managed forest landscapes

Pakkala¹,

Hanski²,

Tomppo³

2002

Silva Fenn.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The estimate of each location was computed as a weighted mean of K spectrally nearest neighbors by inverse distance weighting. This approach has been used to update national forest inventory databases in Nordic countries such as Finland and Sweden based on the combination of plot inventory data and Landsat images [33][34][35][36][37][38]. Both neural networks and KNN methods are not as extensively applied as multiple regression methods for biomass estimation.…”

Section: Biomass Estimation With Optical Sensor Datamentioning

confidence: 99%

Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

Chen

Wang

et al. 2012

International Journal of Forestry Research

196

156

View full text Add to dashboard Cite

Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, forest biomass uncertainty analysis research has only recently obtained sufficient attention due to the difficulty in collecting reference data. This paper provides a brief overview of current forest biomass estimation methods using both TM and LiDAR data. A case study is then presented that demonstrates the forest biomass estimation methods and uncertainty analysis. Results indicate that Landsat TM data can provide adequate biomass estimates for secondary succession but are not suitable for mature forest biomass estimates due to data saturation problems. LiDAR can overcome TM's shortcoming providing better biomass estimation performance but has not been extensively applied in practice due to data availability constraints. The uncertainty analysis indicates that various sources affect the performance of forest biomass/carbon estimation. With that said, the clear dominate sources of uncertainty are the variation of input sample plot data and data saturation problem related to optical sensors. A possible solution to increasing the confidence in forest biomass estimates is to integrate the strengths of multisensor data.

show abstract

“…Very good examples to learn from are Finland and Sweden. Here National Forest Inventories measure more than 10.000 field plots with approximately 200 variables per plot and combine in situ data operationally with satellite data for nationwide forest map production [6,7].…”

mentioning

confidence: 99%

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

et al. 2016

View full text Add to dashboard Cite

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.

show abstract

Improving the accuracy of multisource forest inventory estimates to reducing plot location error — a multicriteria approach

Cited by 62 publications

References 6 publications

Spatial ecology of the three-toed woodpecker in managed forest landscapes

Spatial ecology of the three-toed woodpecker in managed forest landscapes

Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

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

Contact Info

Product

Resources

About