Results 41 to 50 of about 1,061,712 (345)
The significance of using satellite imagery data only in Ecological Niche Modelling of Iberian herps
Acta Herpetologica, 2012 The environmental data used to calculate ecological niche models (ENM) are obtained mainly from ground-based maps (e.g., climatic interpolated surfaces).
Neftalí Sillero +5 more
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A reproducible notebook to acquire, process and analyse satellite imagery
REGION, 2020 Satellite imagery is often used to study and monitor Earth surface changes. The open availability and extensive temporal coverage of Landsat imagery has enabled changes in temperature, wind, vegetation and ice melting speed for a period of up to 46 years.
Meixu Chen +3 more
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Remote Sensing, 2021 The detection of building footprints and road networks has many useful applications including the monitoring of urban development, real-time navigation, etc.
C. Ayala, R. Sesma, C. Aranda, M. Galar
semanticscholar +1 more source
Applied Sciences, 2021 Land cover classification is able to reflect the potential natural and social process in urban development, providing vital information to stakeholders. Recent solutions on land cover classification are generally addressed by remotely sensed imagery and ...
Tianxiang Zhang +4 more
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A generalizable and accessible approach to machine learning with global satellite imagery [PDF]
Nature Communications, 2020 Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet the resource requirements of SIML limit its accessibility ...
Esther Rolf +7 more
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Scientific Data, 2023 Effectively supporting the United Nations’ Sustainable Development Goals requires reliable, substantial, and timely data. For solar panel installation monitoring, where accurate reporting is crucial in tracking green energy production and sustainable ...
Cecilia N. Clark, Fabio Pacifici
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Sat-Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction
Remote Sensing, 2023 Automatic reconstruction of surfaces from satellite imagery is a hot topic in computer vision and photogrammetry. State-of-the-art reconstruction methods typically produce 2.5D elevation data.
Yingjie Qu, Fei Deng
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Optimal pansharpening of RASAT satellite imagery
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 Pansharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high resolution panchromatic imagery. In this work, the performance of various pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening ...
Mustafa Teke 0001 +3 more
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A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery
, 2021 Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic images. Selecting an appropriate algorithm that maintains the spectral and spatial information content of input images is a challenging task.
F. Dadrass Javan +5 more
semanticscholar +1 more source
Ecological InformaticsMapping individual tree crowns (ITCs) along with their morphological attributes provides foundational variables for estimating functions, such as thermal stress and carbon emissions, within the urban environment.
Geonung Park +2 more
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