Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping

Kempeneers, Pieter; Sedano, Fernando; Seebach, Lucia; Strobl, Peter; San-Miguel-Ayanz, Jesús

doi:10.1109/tgrs.2011.2158548

Cited by 124 publications

(92 citation statements)

References 26 publications

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“…Recently for the first time Forest Europe/ UNECE/FAO (2011) presented forest area estimates based on the EFTs nomenclature system ); but at the moment a pan-European FTs map still does not exist, even considering that several tests were carried out to obtain a coniferous/ broadleaved map (Kempeneers et al 2011) and a dominant tree species map (Brus et al 2012).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Comparing multisource harmonized forest types mapping: a case study from central Italy

Vizzarri¹,

Chiavetta²,

Chirici³

et al. 2015

iForest

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Section: Discussionmentioning

confidence: 99%

“…At pan-European level, the European Commission's Joint Research Centre (JRC) developed FMAP2006 and FTYP2006, a high resolution (pixel of 25 m) forest, non-forest map and a forest type map derived from the IMAGE2006 database, MODIS data and the CLC2006 map as training data (Kempeneers et al 2011).…”

Section: Forest Types Area Assessment In Italymentioning

confidence: 99%

Comparing multisource harmonized forest types mapping: a case study from central Italy

Vizzarri¹,

Chiavetta²,

Chirici³

et al. 2015

iForest

View full text Add to dashboard Cite

“…In that context, due to the high potential of forests to supply ecosystem services (Maes et al 2016) and regarding the high percentage of forest coverage in Europe (35%) and e.g. Germany (32%) (Forest Europe 2011;Kempeneers et al 2011), the condition of forests is one of the major issues. Soil moisture is an essential environmental characteristic related to climate change and affecting spatial patterns and trends of forest condition throughout time.…”

Section: Kellerwald National Parkmentioning

confidence: 99%

Fuzzy modelling and mapping soil moisture for observed periods and climate scenarios. An alternative for dynamic modelling at the national and regional scale?

Nickel

Schröder

2017

Annals of Forest Science

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Key message Average soil moisture was spatially modelled for observed periods and climate scenarios using a fuzzy logic approach. Accordingly, a significant decline of soil moisture until 2070 in Germany and the Kellerwald National Park could be evidenced for soils influenced by ground water and by stagnant water and at sites on steep slopes and on southerly slopes. Context Soil moisture is an essential environmental factor affecting the condition of forests throughout time with high spatial variance. To adapt forests to climate change, assessments of ecological integrity and services in forest management and nature conservation need spatio-temporal estimations of current and future soil moisture. Dynamic modelling of soil moisture even with rather simple models needs numerous data which are often not available for areas of large spatial extent. Aims Therefore, the objectives of this investigation were to (1) spatio-temporally estimate ecological soil moisture with available data covering the whole territory of Germany, (2) to specify these estimates for the regional scale, (3) to statistically analyse temporal trends of modelled soil moisture for the time period 1961–2070 and (4) to map soil moisture changes (drying-out) at both national and regional levels. Methods A fuzzy rule-based model was developed allowing the combination of a pedological and an ecological soil moisture classification. The fuzzy modelling approach was applied for mapping average soil moisture at two spatial scales. Results Soil moisture was modelled and mapped on a scale of 1:500,000 across Germany and regionally specified on a scale of 1:25,000 for the Kellerwald National Park for the time intervals 1961–1990, 1991–2010, 2011–2040 and 2041–2070. The model validation gave a root mean squared error (RMSE) of 0.86 and a coefficient of determination (pseudo R2) of 0.21. Average soil moisture was expected to decline significantly until 2070 concerning soils influenced by ground water and by stagnant water and at sites on steep slopes (> 25%) and on southerly slopes (120–240°). Conclusion The model allows mapping of mean soil moisture at the national and regional scale as shown by the example of Germany and the Kellerwald National Park across observed periods and climate scenarios. It should be combined with available ecological data on forest ecosystem types (Jenssen et al. 2013; Schröder et al. 2015) and tested at the European scale.

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“…The impact of natural vegetation (Fig. 1) suggests further analysis with detailed forest types and tree species distribution maps [30,31,32] to increase the corresponding C factors accuracy. Topographic factors (slope length and slope steepness factors).…”

Section: The Soil Water Erosion Modelmentioning

confidence: 99%

Architecture of a Pan-European Framework for Integrated Soil Water Erosion Assessment

Rigo¹,

Bosco²

2011

IFIP Advances in Information and Communication Technology

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Abstract. Soil erosion implications on future food security are gaining global attention because in many areas worldwide there is an imbalance between soil loss and its subsequent deposition. Soil erosion is a complex phenomenon affected by many factors such as climate, topography and land cover (in particular forest resources, natural vegetation and agriculture) while directly influencing water sediment transport, the quality of water resources and water storage loss. A modeling architecture, based on the Revised Universal Soil Loss Equation, is proposed and applied to evaluate and validate at regional scale potential and actual soil water erosion, enabling it to be linked to other involved natural resources. The methodology benefits from the array programming paradigm with semantic constraints (lightweight array behavioural contracts provided by the Mastrave library) to concisely implement models as composition of interoperable modules and to process heterogeneous data.

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Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping

Cited by 124 publications

References 26 publications

Comparing multisource harmonized forest types mapping: a case study from central Italy

Comparing multisource harmonized forest types mapping: a case study from central Italy

Fuzzy modelling and mapping soil moisture for observed periods and climate scenarios. An alternative for dynamic modelling at the national and regional scale?

Architecture of a Pan-European Framework for Integrated Soil Water Erosion Assessment

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