Results 1 to 10 of about 8,844,604 (259)
In recent years, the availability of automated change detection algorithms in Google Earth Engine has permitted the cloud-based processing of large quantities of satellite imagery. Models such as the Continuous Change Detection and Classification (CCDC),
Christine Evans +5 more
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Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels
We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak +2 more
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Hyperspectral image change detection plays an important role in ground observation tasks, making full use of the rich spectral and spatial information in the bitemporal hyperspectral to identify subtle changes in the surface.
Zhanyuan Chang +5 more
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Very high-resolution satellite imagery (≤5 m resolution) has become available on a spatial and temporal scale appropriate for dynamic wetland management and conservation across large areas.
Patrick C. Gray +6 more
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Water catchment areas are the key strategic water sources with a variety of ecological benefits. However, the trajectory of Land Cover and Land Use Changes (LULC-C change poses a significant threat to water catchment areas, negatively affecting water ...
Orlando Bhungeni +2 more
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An Unsupervised SAR Change Detection Method Based on Stochastic Subspace Ensemble Learning
As synthetic aperture radar (SAR) is playing an increasingly important role in Earth observations, many new methods and technologies have been proposed for change detection using multi-temporal SAR images. Especially with the development of deep learning,
Bin Cui +4 more
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Building change detection and building damage assessment are two essential tasks in post-disaster analysis. Building change detection focuses on identifying changed building areas between bi-temporal images, while building damage assessment involves ...
Songxi Yang +4 more
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Change Detection in Synthetic Aperture Radar Images Using a Multiscale-Driven Approach
Despite the significant progress that was achieved throughout the recent years, to this day, automatic change detection and classification from synthetic aperture radar (SAR) images remains a difficult task.
Olaniyi A. Ajadi +2 more
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This study explores the reuse of high-resolution 3D spatial datasets for multiple urban analyses within a game engine environment, aligning with circular economy principles in sustainable urban planning. The work is situated in two residential test areas
Heikki Kauhanen +6 more
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Study and diachronic analysis of forest cover changes of Belezma-Algeria [PDF]
This study aims to analyze the changes of forest cover in the region of Belezma-BATNA in North Algeria, during a period of 31 years (1986 to 2017), based on the use of remote sensing data (diachronic analysis of satellite images Landsat) by calculating ...
Barbachea Amina +2 more
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