time series analysis for monitoring of activity data
TRANSCRIPT
![Page 1: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/1.jpg)
P. Olofsson et al.
REDD+ Monitoring, and MRV WorkshopApril 18-22 2016, Bangkok, Thailand
Time series analysis for monitoring of activity data
![Page 2: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/2.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
2
“What is a time series?”
A time series is a sequence of observations taken sequentially in time.
Adjacent observations are typically dependent and time series analysis is concerned with techniques for analysis
of this dependency. (Box & Jenkins, 1970)
![Page 3: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/3.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
3
Inadequate
![Page 4: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/4.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
4
Inadequate
![Page 5: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/5.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
5
Adequate
![Page 6: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/6.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
6From Wulder et al. (2015)
Number of Landsat images downloaded from USGS
![Page 7: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/7.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
How to achieve this analysis?
Three main approaches:▪ “Best images” -- selects best image at fixed intervals
-- global forest cover change every 5 years (GLS)▪ Compositing -- selects best pixels in time series
according to some criteria -- global forest cover change every year (GLAD, LandTrendr, VCT)
▪ “All images” -- ingests all observations -- allow for monitoring of land conversion and timing of activities (CCDC, BFAST)
7
![Page 8: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/8.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
8
GLAD
(CCDC/YATSM)
![Page 9: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/9.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
9
Example, CCDC/YATSM, Vietnam
![Page 10: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/10.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
Example, CCDC/YATSM, Colombia
10
![Page 11: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/11.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
[Slides from Eric showing change detection in Brazil]
11
![Page 12: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/12.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
CCDC/YATSM
▪ Implementation across the U.S. (USGS/BU)▪ Plan to extend effort to SilvaCarbon Partner Countries▪ Implementation across Colombian Amazon for
monitoring of transition between IPCC land categories (SilvaCarbon/BU)
▪ Plan to tag on pixel-level carbon bookkeeping model for temporally and spatially explicit carbon modeling framework (i.e. Tier 3 compliant estimation)
▪ Integration with other approaches, e.g. BFAST
12
![Page 13: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/13.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
Proposed research, Tier 3 C emissions/removals
13
![Page 14: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/14.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
14Verbesselt, J., Hyndman, R., Newnham, G., & Culvenor, D. (2010). Detecting trend and seasonal changes in satellite image time series. RSE.
BFAST
![Page 15: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/15.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
NRT monitoring - BFAST
15
![Page 16: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/16.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
16
![Page 17: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/17.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
17
![Page 18: Time series analysis for monitoring of activity data](https://reader033.vdocuments.mx/reader033/viewer/2022042723/586693131a28abfd408b7f4a/html5/thumbnails/18.jpg)
TIME SERIES ANALYSIS OF ACTIVITY DATA 04/21/2016
CCDC/YATSM:https://github.com/ceholdenhttps://github.com/prs021/ccdc
Open source code and tutorials @ Wageningen Uni:- LTS change monitoring package and tutorial
https://github.com/dutri001/bfastSpatial- open-source scripting course
https://geoscripting-wur.github.io - Regrowth monitoring:
https://github.com/bendv/rgrowth
18