Identifying strengths and limitations of pan-European forest cover maps through spatial comparison

Seebach, Lucia; Strobl, Peter; San-Miguel-Ayanz, Jesús; Bastrup-Birk, Annemarie

doi:10.1080/13658816.2011.562211

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…Despite reported high thematic accuracy for Corine Land Cover ( Büttner and Maucha, 2006 ; Caetano et al, 2006 ) and Globcover ( Defourny et al, 2009 ), large biases were found in these compared to the national dataset. Similar map comparison exercises have been carried out at European scale ( Seebach et al, 2011a , b ). In old cultural landscapes, like the UK, many trees are located in smaller patches, such as hedgerows, or in urban areas ( McInnes et al, 2017 ).…”

Section: Introductionmentioning

confidence: 83%

Tree cover mapping based on Sentinel-2 images demonstrate high thematic accuracy in Europe

Ottosen

Petch

Hanson

et al. 2020

International Journal of Applied Earth Observation and Geoinfor

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Highlights A tree map was created using unsupervised classification for six Sentinel-2 tiles. The combination with highest agreement with the NFI was the bands 2, 3, 6 and 12. Good qualitative agreement between the present map and the NFI. The map shows between 8% and 79% greater tree cover compared to previous estimates. The overall accuracy of the present map was assessed to be up to 90%.

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Section: Introductionmentioning

confidence: 83%

Tree cover mapping based on Sentinel-2 images demonstrate high thematic accuracy in Europe

Ottosen

Petch

Hanson

et al. 2020

International Journal of Applied Earth Observation and Geoinfor

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“…We generated one variable that specified the Euclidean distance to human settlements, and another for altitude (Hijmans et al, 2005 ; Table 1). All variables were continuous because we calculated land use as the proportion per grid cell to maintain data quality when coarsening spatial resolution (Seebach et al, 2011). We included altitude as a variable because analyses of faecal pellet count indicated a negative correlation between altitude and the density of roe deer Capreolus capreolus (Heurich et al, 2015), which is the main prey of the regional lynx (Heurich et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

Habitat availability is not limiting the distribution of the Bohemian–Bavarian lynxLynx lynxpopulation

Magg

Müller

Heibl

et al. 2015

Oryx

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A population of Eurasian lynx Lynx lynx was established by reintroductions in the Bohemian Forest Ecosystem in the 1970s and 1980s. The most recent information on the population status indicates that the distribution has stagnated since the late 1990s, for unknown reasons. We assessed the availability of suitable habitat along the Austrian–German–Czech border, and hypothesized that the Bohemian–Bavarian lynx population is not in equilibrium with habitat suitability. Based on global positioning system data from 10 radio-collared lynx, we used a maximum entropy approach to model suitable habitat. Variables reflecting anthropogenic influence contributed most to the model and were negatively associated with the occurrence of lynx. We evaluated the model prediction using independent records of lynx from monitoring in Bavaria, Germany. Using our habitat approach we estimated the area of potential habitat, based on a mean annual home range of 445 km2 for males and 122 km2 for females. Our results indicated there were 12,415 km2 of suitable habitat, distributed among 13 patches, for a potential population of c. 142 (93–160) resident lynx. We assessed connectivity via least-cost paths and found that all suitable patches could be reached by the lynx. A comparison with the current distribution of lynx, however, confirms that a significant proportion of suitable habitat is not occupied, which indicates that the distribution is limited by factors other than habitat, with illegal killing being the most likely cause. Our study provides crucial information for the development of a conservation strategy and regional planning for the Bohemian–Bavarian lynx population.

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“…A detailed spatial comparison of several forest extent maps developed at a European scale was conducted by (Seebach et al 2011). Although the authors found these maps are often used in parallel for different modelling purposes, they warn users against this, given the maps can have large differences amongst them.…”

Section: Introductionmentioning

confidence: 99%

Assessing large area forest cover products derived from the same imaging source across Victoria, Australia

Soto‐Berelov¹,

Jones²,

Haywood³

2018

Eco Management Restoration

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Summary Forest cover products are an essential tool for land managers and policy makers. They are used at a variety of spatial scales to inform decision‐making and policy across a range of ecosystem drivers and services. This article compares three forest cover products (FCP), all of which were created using Landsat satellite imagery, but using different methodologies and covering different spatial extents that range from global to state. It also explores their use and utility across the state of Victoria, Australia. It asks the question, how interchangeable are the forest cover maps? FCP are also validated against a very high‐resolution reference data set. Overall accuracy was around 89% for the state and national FCP, and 84% for the global FCP. The global map produced the lowest estimate of total forest cover, while estimates obtained by the national and state FCP were similar across the study area. Spatially, differences, however, were apparent. The national forest cover map obtained higher estimates across most of Victoria except in the most arid region which is dominated by low open woodland. While the national and global scale forest cover maps were found to have good diagnostic ability for large area assessment and reporting, their use for land management is not optimal and can lead to gross error.

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Identifying strengths and limitations of pan-European forest cover maps through spatial comparison

Cited by 4 publications

References 29 publications

Tree cover mapping based on Sentinel-2 images demonstrate high thematic accuracy in Europe

Tree cover mapping based on Sentinel-2 images demonstrate high thematic accuracy in Europe

Habitat availability is not limiting the distribution of the Bohemian–Bavarian lynxLynx lynxpopulation

Assessing large area forest cover products derived from the same imaging source across Victoria, Australia

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