&lt;title&gt;Detecting human settlements in satellite images&lt;/title&gt;

Sengupta, S. K.; Kamath, Chandrika; Poland, Douglas N.; Futterman, J. A. H.

doi:10.1117/12.500370

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…To identify urban areas, we first acquired human populated points accurate to a scale of 1 : 50 000 (GIS‐Lab Ltd, Tbilisi, Georgia) and then derived polygons of urban areas at each of these points. We identified urban areas as polygons of compact networks of intersecting straight lines extracted from Landsat imagery (Heikkonen & Varfis 1998; Sengupta et al . 2003).…”

Section: Methodsmentioning

confidence: 99%

Modelling the habitat requirements of leopard Panthera pardus in west and central Asia

Gavashelishvili

Lukarevskiy

2007

Journal of Applied Ecology

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Summary 1.Top predators are seen as keystone species of ecosystems. Knowledge of their habitat requirements is important for their conservation and the stability of the wildlife communities that depend on them. The goal of our study was to model the habitat of leopard Panthera pardus in west and central Asia, where it is endangered, and analyse the connectivity between different known populations in the Caucasus to enable more effective conservation management strategies to be implemented. 2. Presence and absence data for the species were evaluated from the Caucasus, Middle East and central Asia. Habitat variables related to climate, terrain, land cover and human disturbance were used to construct a predictive model of leopard habitat selection by employing a geographic information system (GIS) and logistic regression. 3. Our model suggested that leopards in west and central Asia avoid deserts, areas with long-duration snow cover and areas that are near urban development. Our research also provides an algorithm for sample data management, which could be used in modelling habitats for similar species. 4. Synthesis and applications . This model provides a tool to improve search effectiveness for leopard in the Caucasus, Middle East and central Asia as well as for the conservation and management of the species. The model can predict the probable distribution of leopards and the corridors between various known populations. Connectivity patterns can be used to facilitate corridor planning for leopard conservation, especially in the Caucasus, where the leopard is a top priority conservation species. Also, as top predators are often associated with high biodiversity, the leopard habitat model could help to identify biodiversity hotspots. The protection of biodiversity hotspots is seen as the most effective way to conserve biodiversity globally.

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Section: Methodsmentioning

confidence: 99%

Modelling the habitat requirements of leopard Panthera pardus in west and central Asia

Gavashelishvili

Lukarevskiy

2007

Journal of Applied Ecology

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“…We have filed a Record of Invention 6 for this process, for which DOE is filing a patent. This report is a modified version (to include the latest progress and programmatic information) of papers and presentations given at the 2003 SPIE Photonics West 7 and Electronic Imaging 15 Conferences.…”

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confidence: 99%

Automated Image Data Exploitation Final Report

Kamath¹,

Poland²,

Sengupta³

et al. 2004

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The automated production of maps of human settlement from recent satellite images is essential to detailed studies of urbanization, population movement, and the like. Commercial satellite imagery is becoming available with sufficient spectral and spatial resolution to apply computer vision techniques previously considered only for laboratory (high resolution, low noise) images. In this project, we extracted the boundaries of human settlements from IKONOS 4-band and panchromatic images using spectral segmentation together with a form of generalized second-order statistics and detection of edges and corners.

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Class-label statistics: a basis for fusing information from multi-spectral imagery with an application to unsupervised detection of human settlement

Sengupta

Lopez

Poland

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings

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<title>Detecting human settlements in satellite images</title>

Cited by 5 publications

References 4 publications

Modelling the habitat requirements of leopard Panthera pardus in west and central Asia

Modelling the habitat requirements of leopard Panthera pardus in west and central Asia

Automated Image Data Exploitation Final Report

Class-label statistics: a basis for fusing information from multi-spectral imagery with an application to unsupervised detection of human settlement

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