Demystifying LandTrendr and CCDC temporal segmentation
Improved access to remotely sensed imagery and time series algorithms in combination with
increased availability of cloud computing resources and platforms such as Google Earth …
increased availability of cloud computing resources and platforms such as Google Earth …
A survey on change detection and time series analysis with applications
With the advent of the digital computer, time series analysis has gained wide attention and is
being applied to many fields of science. This paper reviews many traditional and recent …
being applied to many fields of science. This paper reviews many traditional and recent …
Trend, seasonality, and abrupt change detection method for land surface temperature time-series analysis: Evaluation and improvement
Long-term land surface temperature (LST) variation is vital for the study of climate change
and environmental monitoring. Change detection methods provide access to recovery …
and environmental monitoring. Change detection methods provide access to recovery …
[HTML][HTML] A fast and robust method for detecting trend turning points in InSAR displacement time series
E Ghaderpour, B Antonielli, F Bozzano… - Computers & …, 2024 - Elsevier
Ground deformation monitoring is a crucial task in geohazard management to ensure the
safety of lives and infrastructure. Persistent scatterer interferometric synthetic aperture radar …
safety of lives and infrastructure. Persistent scatterer interferometric synthetic aperture radar …
Change detection within remotely sensed satellite image time series via spectral analysis
E Ghaderpour, T Vujadinovic - Remote Sensing, 2020 - mdpi.com
Jump or break detection within a non-stationary time series is a crucial and challenging
problem in a broad range of applications including environmental monitoring. Remotely …
problem in a broad range of applications including environmental monitoring. Remotely …
Disturbance detection in landsat time series is influenced by tree mortality agent and severity, not by prior disturbance
Landsat time series (LTS) and associated change detection algorithms are useful for
monitoring the effects of global change on Earth's ecosystems. Because LTS algorithms can …
monitoring the effects of global change on Earth's ecosystems. Because LTS algorithms can …
Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020
ZW He, BH Tang - Science of the Total Environment, 2023 - Elsevier
In this study, the spatiotemporal change patterns and driving factors of land surface
temperature (LST) on the Yunnan-Kweichow Plateau (YKP) during 2000–2020 are …
temperature (LST) on the Yunnan-Kweichow Plateau (YKP) during 2000–2020 are …
JUST: MATLAB and python software for change detection and time series analysis
E Ghaderpour - GPS Solutions, 2021 - Springer
Change detection within unequally spaced and non-stationary time series is crucial in
various applications, such as environmental monitoring and satellite navigation. The jumps …
various applications, such as environmental monitoring and satellite navigation. The jumps …
BFAST lite: a lightweight break detection method for time series analysis
BFAST Lite is a newly proposed unsupervised time series change detection algorithm that is
derived from the original BFAST (Breaks for Additive Season and Trend) algorithm, focusing …
derived from the original BFAST (Breaks for Additive Season and Trend) algorithm, focusing …
Remote sensing change detection based on multidirectional adaptive feature fusion and perceptual similarity
Remote sensing change detection (RSCD) is an important yet challenging task in Earth
observation. The booming development of convolutional neural networks (CNNs) in …
observation. The booming development of convolutional neural networks (CNNs) in …