Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data

Esch, Thomas; Himmler, Vitus; Schorcht, Gunther; Thiel, Michael; Wehrmann, Thilo; Bachofer, Felix; Conrad, Christopher; Schmidt, Michaël; Dech, Stefan

doi:10.1016/j.rse.2009.03.012

Cited by 97 publications

(47 citation statements)

References 19 publications

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“…Data on forest classes (deciduous forest, mixed forest, coniferous forest, and windthrow areas), orchards, and vineyards were extracted from the Corine Landcover map (DLR 2010). Data on dispersed urban areas were taken from Landsat 7 ETM+ pictures provided by Esch et al (2009). To account for species-specific habitat relationships, we used a land-use map including 19 land-use classes with emphasis on forest classes and different urban areas.…”

Section: Land-use Data and Topographic Mapmentioning

confidence: 99%

Forest conversion can help to mitigate impacts of climate change on common forest birds

Gottschalk¹,

Reiners

2015

Annals of Forest Science

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Abstract& Key message We forecasted the effects of climate change and forest conversion options on common forest bird species by employing nation-wide high-resolution models. The results give details on how, where, and for which species forest conversion can mitigate climate change effects. & Context To mitigate effects of climate change on forests, alterations are required to convert forests into less vulnerable forest types. Coniferous forest that has been cultivated extensively outside its natural range has been identified as being more vulnerable to climate change effects than deciduous forest. & Aims The aim is to evaluate the effect of climate change mitigation measures on biodiversity due to forest conversion. & Methods We generated five forest scenarios for Germany in which we systematically replaced coniferous with deciduous forest types. We forecasted the effects of climate change and forest conversion options on 25 forest bird species by employing high-resolution models to predict their current and future ranges and population size.& Results Our simulations and modeling approach clearly predicted that climate change has a stronger impact on populations compared to distribution areas of common forest bird species. Forest conversion was predicted to amplify (15 species) and to weaken (10 species) the predicted gains and losses of species' population size due to climate change. Using the total bird population size to evaluate the mitigation effect of the different forest scenarios, forest conversion below an elevation of 500 m a.s.l. was predicted to mitigate climate change effects by 0.3 million breeding pairs (−10 %). The relatively weak mitigation effect was mainly due to few generalist species that inhabit coniferous forests in large abundances and did not profit from a conversion to deciduous forests. & Conclusion The results of the study give details on how, where, and for which species forest conversion can mitigate the anticipated effects of climate change.

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Section: Land-use Data and Topographic Mapmentioning

confidence: 99%

Forest conversion can help to mitigate impacts of climate change on common forest birds

Gottschalk¹,

Reiners

2015

Annals of Forest Science

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“…The requirements of the application field in combination with the selected sensor provides the framework for the selected image processing methods that are used to derive the desired information [39]. [41], vegetation density [42], landscape metrics [43][44][45] Building and vegetation structure [12,46], biotope mapping [47] Urban land cover materials [7,8], imperviousness [6] Local mapping of build up area, imperviousness, vegetation density [48], material mapping [4,24], urban structure mapping, biotope mapping [49] Urban growth assessment Built up area, land cover change [50][51][52][53] Change detection at building level [54] Change detection at building/material level [55] [56,57] Identification of hazardous materials [58,59] [61,62] Building and vegetation structure [46] material-based land cover, building and vegetation structure [17,63] …”

Section: Application Fields Of Urban Remote Sensingmentioning

confidence: 99%

“…Imperviousness is a key parameter for urban analysis [20] and urban planning at different spatial scales. For example, at regional scale it is used as an indicator for the spatial extend of urban areas [50] or as an indicator of the negative effects of ongoing consumption of land resources [41]. At local scale, this parameter is especially of interest for urban planners aiming to reduce the percentage of impervious surfaces to avoid negative climatic effects, such as overheating (e.g., [64]).…”

Section: Urban Development and Planningmentioning

confidence: 99%

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Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

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With urban populations and their footprints growing globally, the need to assess the dynamics of the urban environment increases. Remote sensing is one approach that can analyze these developments quantitatively with respect to spatially and temporally large scale changes. With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available. This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions of the future EnMAP mission. Regarding urban applications, four frequently addressed topics have been identified: urban development and planning, urban growth assessment, risk and vulnerability assessment and urban climate. The requirements of four application fields and associated image processing techniques used to retrieve desired parameters and create geo-information products have been reviewed. As a result, we identified promising research directions enabling the use of EnMAP for urban studies. First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. This information can subsequently be used to improve urban indicators, such as imperviousness. Second, we identified the global monitoring of urban areas as a promising field of investigation taking advantage of EnMAP's spatial coverage and revisit capability.Remote Sens. 2011, 3 1818However, owing to the limitations of EnMAPs spatial resolution for urban applications, research should also focus on hyperspectral resolution enhancement to enable retrieving material information on sub-pixel level.

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“…This is because analyzing impervious surfaces will reveal three dimensions of urbanization and industrialization, namely, expansion of all kinds of urban lands, intra-class changes and environmental effects. Impervious surface not only includes built-up regions but also composes of all impermeable lands, for example, highway, parking lots, etc [5]. Impervious surface can quantify sub-pixel changes while conventional techniques just extract inter-class conversion [6].…”

Section: ⅰIntroductionmentioning

confidence: 99%

Quantifying Growth of Impervious Surface around the Hangzhou Bay, China

Li¹,

Wang²,

Shahtahmassebi³

2013

Proceedings of the 2013 International Conference on Remote Sensing,Environment and Transportation Engineering

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Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data

Cited by 97 publications

References 19 publications

Forest conversion can help to mitigate impacts of climate change on common forest birds

Forest conversion can help to mitigate impacts of climate change on common forest birds

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Quantifying Growth of Impervious Surface around the Hangzhou Bay, China

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