For Forest Monitoringcopjapan.env.go.jp/cop/cop24/assets/pdfs/events/2018-12...2018/12/06 · -Fast...
Transcript of For Forest Monitoringcopjapan.env.go.jp/cop/cop24/assets/pdfs/events/2018-12...2018/12/06 · -Fast...
JAXA’s Earth Observation from Space
For Forest Monitoring
Osamu Ochiai
Japan Aerospace Exploration Agency
JAXA’s Earth Observation Programs
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National Security
Disaster Risks Management
Climate Change
JAXA’s Earth Observation SatellitesChallenges:
• Continuity and sustainability of earth observation data
• Close collaboration with experts, governments and administrations
ALOS-2/PALSAR-2
Orbit altitude: 628km
Launch: May 24, 2014
Lifetime: 5 years (7 years)
Sensor: Synthetic Aperture Radar
(SAR)
Observation mode: Spotlight
Strip
ScanSAR
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ALOS-2/PALSAR-2
Optical sensor: Landsat-8
SAR acquires cloud-free image!
Radar sensor: PALSAR-2
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Annual Global Forest Maps
PALSAR/PALSAR-2 Global Mosaic
Forest/Non-Forest Map
Resolution = 25mYear = 2007, 08, 09, 10,
2015, 16, 17Polarimetry = HH, HV2009
2009
Resolution = 25mYear = 2007, 08, 09, 10,
2015, 16, 17
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Forest change detection
● Forest● Non-Forest● Deforestation● Reforestation
South America (Brazil)
PALSAR 2010 PALSAR 2015 Change 2010-2015
Global Forest Map
● It detects deforestation more than 5 ha, by change detection usingtwo PALSAR-2 images.
● It provides deforestation information such as its position and area.
● User can download deforestation polygon.
● He can identify illegal activity by GIS analysis using land-use map
or concession map.
Usage of JJ-FAST
What is JJ-FAST
● Early warning of deforestation including illegal activity (every 1.5months).
● Suppression effect can be expected by periodic open information.
Objective of JJ-FAST
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New monitoring system: JJ-FAST
Outline of JJ-FAST
8JICA-JAXA Forest Early Warning System in the Tropics (JJ-FAST)
Released in November 2016!http://www.eorc.jaxa.jp/jjfast/
Target countries
Data source ALOS-2/PALSAR-2 (ScanSAR mode)
Target area 77 countries
Update Every 1.5 months
Characteristics
- Global coverage: almost all tropical forests.
- Cloud-cover area observation: even in rain season.
- Fast web-page: forester can use it in the field.
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Outline of JJ-FAST
Feature of Radar Data
Forest: Bright Non-Forest: Dark
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Field survey for validation
Peru
11 User's accuracy = 83.3%
Botswana
Gabon
Effectiveness of JJ-FAST System 12
Watching on Deforestation
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JJ-FAST Improvement in Cambodia
118 deforestation were detected by JJ-FAST.
(2017.10 - 2018.7)
Forest map used for the screening procedure.
(developed from PALSAR-2 image)
Problem: There are many undetected deforestations!
Improvement plan: Parameter adjustment for the detecting algorithm.
Revision of forest map used for screening.
Reducing detection errors.
Small area detection: less than 3 ha.
Future plan
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Field survey in more countries.
Interpretation of high-resolution image.
Feedback report from each country.
Accuracy assessment
Algorithm improvement
Supporting each country’s situation.
Burnt area detection, forest change map,
fusion with existing monitoring system…
Collaboration with other platforms
Practical usage
Focused Countries- Peru- Cambodia- Brazil- Cameroon
Web Comment form
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Future Satellite Plans
JFY2014 2015 2016 2017 2018 2019 2020 2021
Launch
Initial C/O
Initial Cal-Val
Product release
Mission operation (5 years) Post-mission operation
ALOS-3
(Optical)
May 24 ALOS-2 (L-SAR)
ALOS-4
(L-SAR)Development
Development Mission operation
(7 years)
Continuous observations successor “Daichi” (ALOS) from 2006 to 2011.
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Sensor LiDAR : 2 beams, 25mφ footprint.
Imager : 5.0m resolution, 3 bands, 1km swath.
Objectives To estimate forest biomass precisely and globally.
To obtain spaceborne LiDAR technology for future missions.
Spaceborne LiDAR: MOLI (2021)
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Thank Youfor your attention !