BFAST Lite: A Lightweight Break Detection Method for Time Series Analysis

Global‐scale characterization of turning points in arid and semi‐arid ecosystem functioning

(2020) Paulo N. Bernardino et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data

(2020) Eliakim Hamunyela et al.   Remote Sensing

Change Detection within Remotely Sensed Satellite Image Time Series via Spectral Analysis

(2020) Ebrahim Ghaderpour et al.   Remote Sensing

An Evaluation and Comparison of Four Dense Time Series Change Detection Methods Using Simulated Data

(2019) Katie Awty-Carroll et al.   Remote Sensing

A time-series classification approach based on change detection for rapid land cover mapping

(2019) Jining Yan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Large-scale detection of vegetation dynamics and their potential drivers using MODIS images and BFAST: A case study in Quebec, Canada

(2018) Xiuqin Fang et al.   REMOTE SENSING OF ENVIRONMENT

Detecting and Attributing Drivers of Forest Disturbance in the Colombian Andes Using Landsat Time-Series

(2018) Paulo Murillo-Sandoval et al.   Forests

Implementation of the LandTrendr Algorithm on Google Earth Engine

(2018) Robert Kennedy et al.   Remote Sensing

Detecting dryland degradation using Time Series Segmentation and Residual Trend analysis (TSS-RESTREND)

(2017) Arden L. Burrell et al.   REMOTE SENSING OF ENVIRONMENT

How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

(2017) Warren Cohen et al.   Forests

Canopy near-infrared reflectance and terrestrial photosynthesis

(2017) Grayson Badgley et al.   Science Advances

Reconstructing land use history from Landsat time-series

(2016) Loïc P. Dutrieux et al.   International Journal of Applied Earth Observation and Geoinformation

Using spatial context to improve early detection of deforestation from Landsat time series

(2016) Eliakim Hamunyela et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia

(2015) Loïc Paul Dutrieux et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Effectiveness of the BFAST algorithm for detecting vegetation response patterns in a semi-arid region

(2014) Laura M. Watts et al.   REMOTE SENSING OF ENVIRONMENT

Continuous change detection and classification of land cover using all available Landsat data

(2014) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data

(2013) Evan B. Brooks et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Shifts in Global Vegetation Activity Trends

(2013) Rogier de Jong et al.   Remote Sensing

Near real-time disturbance detection using satellite image time series

(2012) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trend and seasonal changes in satellite image time series

(2009) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT