Machine learning approaches to Landsat change detection analysis

Machine learning approaches to Landsat change detection analysis

The Landsat mission has captured images of the Earth’s surface for over 50 years, and the data have enabled researchers to investigate a vast array of different change phenomena using machine learning models. Landsat-based monitoring research has been influential in geography, forestry, hydrology, e...

Full description

Saved in:

Bibliographic Details
Main Authors:	Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Series:	Canadian Journal of Remote Sensing
Online Access:	http://dx.doi.org/10.1080/07038992.2024.2448169
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia
by: Radočaj Dorijan, et al.
Published: (2024-01-01)

Assessing Landsat Processing Levels and Support Vector Machine Classification
by: Nehad Al-Salmany, et al.
Published: (2025-01-01)

Detection of the wheat rust disease infected farms using Landsat images
by: Mohamad Reza Mobasheri:, et al.
Published: (2017-03-01)

Detection and Analysis of Burned Areas with Sentinel-2 MSI and Landsat-8 OLI: Çanakkale / Gelibolu Forest Fire
by: Beyza Yılmaz, et al.
Published: (2022-01-01)

Comparative Analysis of Learning-Based Approaches for Change Detection in Satellite Images
by: Maria-Eirini Pegia, et al.
Published: (2025-01-01)

Potential and actual evapotranspiration and Landsat derived indices
by: P. Kumar, et al.
Published: (2024-07-01)

Monitoring of vegetation and land use changes process using Landsat data (Case study: Sarvestan plain)
by: sara kaviani ahangar, et al.
Published: (2024-03-01)

Assessing swidden land use in Myanmar by decision tree-based detection method using landsat imagery
by: Nyein Chan, et al.
Published: (2022-10-01)

A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things
by: Chen Dong, et al.
Published: (2019-12-01)

Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques
by: Hanaa Attou, et al.
Published: (2023-09-01)

Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach
by: Sumaira Tabassum, et al.
Published: (2025-01-01)

Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets
by: Subhanil Guha, et al.
Published: (2020-01-01)

Performance Analysis of Diabetes Detection Using Machine Learning Classifiers
by: Hung Huynh, et al.
Published: (2024-10-01)

Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches
by: Saud Yonbawi, et al.
Published: (2025-01-01)

Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data
by: Jikang Wan, et al.
Published: (2021-01-01)

A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change
by: Julia Forster, et al.
Published: (2025-01-01)

PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
by: Mehdi Khalil, et al.
Published: (2025-12-01)

Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches
by: Samina Amin, et al.
Published: (2021-01-01)

Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches
by: Said El Harkaoui, et al.
Published: (2025-01-01)

Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach
by: Tianyi Li, et al.
Published: (2025-01-01)

Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity
by: Hongguo Zhao, et al.
Published: (2025-01-01)

Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach
by: Siti Aminah, et al.
Published: (2023-01-01)

Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models
by: Basim Mahbooba, et al.
Published: (2021-01-01)

Recycled integrated circuit detection using reliability analysis and machine learning algorithms
by: Udaya Shankar Santhana Krishnan, et al.
Published: (2021-01-01)

Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario
by: Mitchell T. Bonney, et al.
Published: (2025-12-01)

Robust Identification of Vegetation Change Using Shapelet-Based Temporal Segmentation of Landsat Time-Series Stacks: A Case Study in the Qilian Mountains
by: Lipeng Jiao, et al.
Published: (2025-01-01)

Machine Learning as a Downscaling Approach for Prediction of Wind Characteristics under Future Climate Change Scenarios
by: Abbas Yeganeh-Bakhtiary, et al.
Published: (2022-01-01)

A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques
by: Ali Soleymani, et al.
Published: (2021-01-01)

A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems
by: Saiprasad Potharaju, et al.
Published: (2025-06-01)

An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices
by: Subir Panja, et al.
Published: (2025-01-01)

A machine learning and clustering-based approach for county-level COVID-19 analysis.
by: Charles Nicholson, et al.
Published: (2022-01-01)

Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach
by: Fajar Yulianto, et al.
Published: (2021-01-01)

Machine Learning-Based Network Detection Research for SDNs
by: Lai Jiayue
Published: (2025-01-01)

Incorporating Machine Learning into Vibration Detection for Wind Turbines
by: J. Vives
Published: (2022-01-01)

Early detection of sepsis using machine learning algorithms
by: Rasha M. Abd El-Aziz, et al.
Published: (2025-01-01)

Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive
by: Emma Asbridge, et al.
Published: (2025-01-01)

Study on Water Quality Inversion Model of Dianchi Lake Based on Landsat 8 Data
by: Jiaju Cao, et al.
Published: (2022-01-01)

Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images
by: Vahid Riahi, et al.
Published: (2019-03-01)

Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate
by: Tabark Y. Gehad, et al.
Published: (2024-06-01)

Machine learning approach to student performance prediction of online learning.
by: Jing Wang, et al.
Published: (2025-01-01)