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Z.-G. Zhou, P. Tang, M. Zhou
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
in new time series data. (3) Estimating reliability of each detected disturbance using statistical analysis based on Confidence Interval (CI) and Confidence Levels (CL).  ...  in image time series.  ...  ACKNOWLEDGEMENTS This work was funded by the Project Y50B10A15Y supported by the Innovation Program of Academy of Opto-Electronics (AOE), Chinese Academy of Science (CAS).  ... 
doi:10.5194/isprs-archives-xli-b3-549-2016 fatcat:ehscu62errggbpgvwfgma4ksny

Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

Jan Verbesselt, Rob Hyndman, Achim Zeileis, Darius Culvenor
2010 Remote Sensing of Environment  
We tested BFAST by simulating 16-day NDVI time series with varying amounts of seasonal amplitude and noise, containing abrupt disturbances (e.g., fires) and long term phenological changes.  ...  BFAST identifies phenological change independent of phenological metrics by exploiting the full time series.  ...  Acknowledgements This work was undertaken within the program of the Cooperative Research Center for Forestry: Monitoring and Measuring ( Thanks to Dr.  ... 
doi:10.1016/j.rse.2010.08.003 fatcat:iu66lfeierdzbmod4tmsouchle

Satellite-Based Monitoring of Primary Production in a Mediterranean Islet Post Black Rat Eradication

Miguel Ibañez-Álvarez, Pol Farràs Santasusana, Juan Antonio Calleja, Carlos Rouco, Matthew Brolly, Niall G. Burnside, Elena Baraza, Jordi Bartolomé, Emmanuel Serrano
2021 Remote Sensing  
The results of this study revealed changes across the 21-year monthly NDVI time series.  ...  The Break Detection approach for additive season and trend (BFAST method) was adopted to examine changes in vegetation density before and after the eradication campaign in Sa Dragonera Islet (Balearic  ...  and its confidence intervals) are chosen by globally minimizing the residual sum of The basis and the process carried out by BFAST is described in detail in [43] and  ... 
doi:10.3390/rs14010101 fatcat:xjagdfvfpfe4hlras6n44hfqn4

A Nonparametric Approach to the Removal of Documented Inhomogeneities in Climate Time Series*

Chiara Ambrosino, Richard E. Chandler
2013 Journal of Applied Meteorology and Climatology  
For a time series to be used with confidence in climate analysis, it should only be characterized by variations intrinsic to the climate system.  ...  This paper is focused on the abruptchanges problem (when the properties of a time series change abruptly), when their timing is known, and suggests that a nonparametric regression framework provides an  ...  Figure 2b shows the confidence interval band of the estimated step change.  ... 
doi:10.1175/jamc-d-12-0166.1 fatcat:yv33fjpogbcu3hkqqkr5xtcxii

Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter
2016 Geospatial Health  
For detecting anomalies or interventions in the field of forest monitoring we propose an approach based on the spatial and temporal forecast of satellite time series data.  ...  For evaluation of the methods, the approaches are applied to a study area in Germany for monitoring forest damages caused by wind-storm, and to a study area in Spain for monitoring forest fires.  ...  Acknowledgments: this work was funded by the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT), as part of the project Multi-Dimensional Sensor Data Time Series Analysis (MUST)  ... 
doi:10.4081/gh.2016.310 pmid:27087034 fatcat:25kvtsslnjfu5gfe6asjknl4cy

Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau using GIMMS NDVI3g Dataset

Yong Ni, Yuke Zhou, Junfu Fan
2020 IEEE Access  
In this paper, breakpoint in time series of a satellite-derived vegetation index was detected at pixel-level during 1982-2012.  ...  Possible causes for abrupt vegetation changes are discussed in the content of climate change and grassland management.  ...  Red line indicates the growing trend, and downward red segment represents the confidence interval of change point timing.  ... 
doi:10.1109/access.2020.2982661 fatcat:m5g5pcelgfgzbdt3n4d4truuiy

A Near Real-Time Method for Forest Change Detection Based on a Structural Time Series Model and the Kalman Filter

Martin Puhm, Janik Deutscher, Manuela Hirschmugl, Andreas Wimmer, Ursula Schmitt, Mathias Schardt
2020 Remote Sensing  
The increasing availability of dense time series of earth observation data has incited a growing interest in time series analysis for vegetation monitoring and change detection.  ...  Vegetation monitoring algorithms need to deal with several time series characteristics such as seasonality, irregular sampling intervals, and signal artefacts.  ...  Confidence interval of accuracy measures: 95%. Remote Sens. 2020, 12, 3135 Acknowledgments: We greatly appreciate the free, full, and open data policy adopted by ESA for the COPERNICUS programme.  ... 
doi:10.3390/rs12193135 fatcat:b6vgs5wy75dbjov7xb4epq2tay

Shifts in Global Vegetation Activity Trends

Rogier de Jong, Jan Verbesselt, Achim Zeileis, Michael Schaepman
2013 Remote Sensing  
The existence of monotonic changes and trend shifts present in such records has previously been demonstrated. However, information on timing and type of such trend shifts was lacking at global scale.  ...  The existence of monotonic changes and trend shifts present in such records has previously been demonstrated. However, information on timing and type of such trend shifts was lacking at global scale.  ...  The work was supported by the UZH Research Priority Program on "Global Change and Biodiversity" and Jan Verbesselt was supported by a Marie-Curie IRG grant of the European Community's Seventh Framework  ... 
doi:10.3390/rs5031117 fatcat:jxvag3xprff5djl2eaisogembi

Relationship of Abrupt Vegetation Change to Climate Change and Ecological Engineering with Multi-Timescale Analysis in the Karst Region, Southwest China

Xiaojuan Xu, Huiyu Liu, Zhenshan Lin, Fusheng Jiao, Haibo Gong
2019 Remote Sensing  
After the abrupt change, the greening trend of the NDVI in the east and the browning trend in the west, both changed from insignificant to significant. (2) After the abrupt change, at the 2.5-year time  ...  At the 2.5-year time scale, the abrupt change in the relationships between the NDVI and climate factors was primarily driven by climate change in the west, especially rising temperatures.  ...  When the intersection point of the curves of UB k and UF k fell into the confidence interval, it indicated the time of an abrupt change.  ... 
doi:10.3390/rs11131564 fatcat:kwmxylj6dzdoja5uvgocesnove

Arctic climate shifts drive rapid ecosystem responses across the West Greenland landscape

Jasmine Saros, Nicholas John Anderson, Stephen Juggins, Suzanne McGowan, Jacob Yde, Jon Telling, Joanna Bullard, Marian Yallop, Adam Heathcote, Benjamin Burpee, Rachel Fowler, Christopher Barry (+8 others)
2019 Environmental Research Letters  
Prediction of high latitude response to climate change is hampered by poor understanding of the role of nonlinear changes in ecosystem forcing and response.  ...  of how terrestrial and freshwater systems in this region may shift in response to abrupt climate change.  ...  Acknowledgments We thank Gordon Hamilton for assistance with satellite imagery, Johanna Cairns for figure rendering, and Peter Leavitt for constructive comments.  ... 
doi:10.1088/1748-9326/ab2928 fatcat:rrv2qi4nqjbkbkwnarckn4goxa

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

Dainius Masiliūnas, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
2021 Remote Sensing  
We set the parameters of all algorithms to comparable values and analysed the algorithm accuracy over a range of time series ordered by the certainty of that the input time series has at least one abrupt  ...  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 on improvements to  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13163308 fatcat:c7wkjeujffeqnbeun3a3ellneu

Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series

Meng Lu, Edzer Pebesma, Alber Sanchez, Jan Verbesselt
2016 ISPRS journal of photogrammetry and remote sensing (Print)  
Our study case illustrates the detection of breakpoints in MODIS imagery time series for land cover change in the Brazilian Amazon using the BFAST (Breaks For Additive Season and Trend) change detection  ...  In addition, we evaluate how sensitive EFP is to the assumption that its time series residuals are temporally uncorrelated, by modelling it as an autoregressive process.  ...  In this example, three abrupt changes are detected in the trend component and the corresponding confidence interval of these breakpoints are indicated.  ... 
doi:10.1016/j.isprsjprs.2016.03.007 fatcat:hgq33nwdi5cmvpsr44dcdbn524

Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis

Christopher Potter
2018 Remote Sensing  
Region-wide breakpoint analysis results showed that significant structural change could be detected in the 250-m normalized difference vegetation index (NDVI) time series for the vast majority of wetland  ...  showed relatively few positive greenness recovery changes by 2017.  ...  Acknowledgments: This work was supported by NASA Ames Research Center and the NASA ABoVE Logistics Office in Fairbanks, Alaska. Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/rs10091456 fatcat:lvi3lw6vxrbnbnre7boxmifvpa


Mingxin Huang
2019 Figshare  
The geoinformation system created on the basis of this technology should monitor and yield the analysis of satellite time series of images to identify quantitative and qualitative indicators of yield,  ...  by remote sensing.  ...  Residual components are variations of the time series that are diverging from trend or seasonal components: , Figure 1 - 1 Satellite images of the same field are made at intervals of 10 days Figure  ... 
doi:10.6084/m9.figshare.9788696 fatcat:6ybg4dzetzccddblgtc4654lwq

An Evaluation of Forest Health Insect and Disease Survey Data and Satellite-Based Remote Sensing Forest Change Detection Methods: Case Studies in the United States

Ian Housman, Robert Chastain, Mark Finco
2018 Remote Sensing  
Although many ORS products met or exceeded the overall accuracy of IDS and RTFD products, the differences were largely statistically insignificant at the 95% confidence interval.  ...  The goal of the ORS program is to supplement the Insect and Disease Survey (IDS) and MODIS Real-Time Forest Disturbance (RTFD) programs with imagery-derived forest disturbance data that can be used to  ...  Acknowledgments: The authors would like to acknowledge the assistance of members of the Google Earth Engine team-specifically Noel Gorelick and Matthew Hancher-in the design, execution, and analysis using  ... 
doi:10.3390/rs10081184 fatcat:stfajv2zrjezldz5q3qpa5wkvq
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