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A lightweight building change detection network with coordinate attention and multiscale fusion
Real-time and rapid detection of building changes can play an important role in natural resource management. In practical change detection, many...
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Gamma Correction-Based Automatic Unsupervised Change Detection in SAR Images Via FLICM Model
In order to improve the accuracy of change detection, a novel synthetic aperture radar (SAR) image change detection method based on Gamma correction...
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Evaluation of the effect of spatial and temporal resolutions for digital change detection: case of forest fire
One of the most important subjects in remote sensing is digital change detection which identifies the differences between the before and after an...
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Shoreline Change Detection and Future Prediction of Sundarban Delta Using Remote Sensing Data and Digital Shoreline Analysis System
The present study focused on shoreline change detection and future prediction of the Sundarban Delta using a digital shoreline analysis system with...
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A Novel Change Point Detection Approach for Analysis of Time-Ordered Satellite Imagery
Change detection through the analysis of images is a fundamental step in the remote sensing analysis framework. It is an emerging area of research...
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Change-point detection in monsoon rainfall of Narmada River (central India) during 1901–2015
AbstractSince the middle of the last century, the so-called acceleration of the water cycle, due to global warming, has led to increased rainfall...
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Mechanisms, detection and impacts of species redistributions under climate change
Shifts in species distributions are a common ecological response to climate change, and global temperature rise is often hypothesized as the primary...
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A comparison of global flood models using Sentinel-1 and a change detection approach
Advances in numerical algorithms, improvement of computational power and progress in remote sensing have led to the development of global flood...
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Fuzzy Swin transformer for Land Use/ Land Cover change detection using LISS-III Satellite data
Land Use/ Land Cover change detection is an inspiring, interesting task to be performed worldwide. The real-time satellite data of the earth's...
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Detection and map** of agriculture seasonal variations with deep learning–based change detection using Sentinel-2 data
Change detection is one of the vital ways to analyse the multitemporal variations over a specified period using remote sensing data. In recent years,...
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Two-Dimensional and 3D Change Detection in Urban Area Using Very High-Resolution Satellite Data and Impact of Urbanization over LST and NDVI
High-resolution satellite data are an excellent way to monitor the growth of an urban area in terms of vertical and horizontal growth. Time-series...
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Knowledge map** and trends in research on remote sensing change detection using CiteSpace analysis
Detection of change through remote sensing (RS) is widely used in Earth observation and environment surveys, whereas the introduction of bibliometric...
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Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city
To analyze the temporal variation characteristics of PM 2.5 concentration and its influencing factors in Hefei, this paper utilizes mixed frequency...
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Building Instance Change Detection from High Spatial Resolution Remote Sensing Images Using Improved Instance Segmentation Architecture
The detection of ground surface changes provides essential and valuable information for many fields. Many deep learning models have been proposed for...
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FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net
Forest changes caused by fires, clear-cuts, and Land Use/Land Cover (LULC) changes have negatively affected the climate, wildlife, and global...
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Modelling change detection for unveiling urban transitions: using machine learning algorithms and Sentinel-2 data in Larache City, Morocco
In achieving sustainable urban development, the intricate dynamics of spatio-temporal land use changes and their regional driving forces necessitate...
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Spatiotemporal LULC change detection and future prediction for the Mand catchment using MOLUSCE tool
The changes in land use and land cover (LULC) are one of the primary forces for the worldwide climate, ecosystem, and environmental changes. A detail...
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Optimal cluster number determination of FCM for unsupervised change detection in remote sensing images
Clustering of Remote Sensing (RS) images is one of the most accurate methods for land cover Change Detection (CD). Despite its popularity for...
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Could detection and attribution of climate change trends be spurious regression?
Since the 1970s, scientists have developed statistical methods intended to formalize detection of changes in global climate and to attribute such...
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Spatio-temporal trend and change detection of rainfall for Kosi River basin, Uttarakhand using long-term (115 years) gridded data
The paper analyzed the spatial-temporal variability of rainfall and detection of potential trend change point over Kosi River basin, Kumaon Lesser...
