linking remote sensing and in situ data for global

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Linking Remote Sensing and In situ data for global policies’ applications NFM, REDD+ Team FAO Inge JONCKHEERE RS & EO Lead REDD+ Team, FAO Forestry Dept. CCI Biomass User Workshop Paris (FR), September 2018

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Page 1: Linking Remote Sensing and In situ data for global

Linking Remote Sensing and In situ data for global policies’ applications

NFM, REDD+ Team FAO

Inge JONCKHEERERS & EO Lead REDD+ Team, FAO Forestry Dept.

CCI Biomass User Workshop Paris (FR), September 2018

Page 2: Linking Remote Sensing and In situ data for global

• 38 FREL/FRLs, 5 REDD+ results submitted

• Forests mentioned prominently in Paris Agreement, LULUCF in 77% in INDCs (Intended Nationally Determined Contributions)

• Green Climate Fund: Request for Proposals (RfP) on REDD+ for results-based payments

All concern or require a quantification of mitigation from forest

Momentum REDD+

Page 3: Linking Remote Sensing and In situ data for global

Cancun Agreement: REDD+ elements

National Strategy

or Action Plan

NFMS

SIS(safeguards)

FREL/FRL

Benchmark for assessing each country’s performance in implementing REDD+

Page 4: Linking Remote Sensing and In situ data for global

Time for stock taking and identifying successes and updating country needs

● A new publication on the progress in REDD+ reporting “From Reference Levels to Results Reporting: REDD+ under the UNFCCC – 2018 Update”.● FAO’s National Forest Monitoring and Assessment Working Paper No. 47 “Strengthening National Forest Monitoring System for REDD+”● 6th World Forest Week Side Event on 19 July 2018 “Consolidating success: Progress on forest monitoring for REDD+.” Webcast link here.● A new publication ‘“Ten years of capacity development on national forest monitoring for REDD+ – much achieved yet more to do. In press.

Page 5: Linking Remote Sensing and In situ data for global

z

FAO Forestry

FAO and its role in Forestry/biomass applications

q FAO’s key role in Forestry monitoring is to help countries develop, implement and operationalize their National Forest Monitoring System (NFMS)

q FAO also assists countries in conceptualizing and implementing Monitoring (M), Reporting (R) and Verification (V) activities & the monitoring of policies and measures

Ø National ownership of data for developing countries Ø Alignment with the global climate policy framework: UNFCCC process and IPCC guidelinesØ Step-wise approach that allows for improvement over timeØ Builds upon existing capacities, available data and existing systems in place Ø Use of open-source, freely/cheap available data and tools as much as possibleØ Strengthening of national capacities (learning-by-doing capacity building)Ø Support consistent over time: time series analysis’ approach: historical data is keyØ FAO is CB co-Chair of the GFOI of GEO: Global Forest Observation Initiative

Key principles of FAO’s support

Page 6: Linking Remote Sensing and In situ data for global

Summary of key achievements (2009-2016)

§ NFMS: Support to National Forest Monitoring Systems (NFMS) with MRV functions (40 countries)

NFMS action plans, Institutional arrangements and development of its pillars (NFI, SLMS, GHGi)

ü Suite of Open Source Tools in-house used (Openforis, www.openforis.org )

ü Extensive capacity development activities and country exchanges

ü Guidelines, manuals, dissemination materials, knowledge platforms (GlobAllomeTree on www.globallometree.com )

NFI ü Support to countries on NFI, including design, methodology, piloting phase, data collection, data analysis: in situ data component

SLMS ü Capacity development, equipment and SLMS set-up: remote sensing dataü National web portals developed and deployed ü National forest cover maps developed/updatedü Set up of cloud based platform (SEPAL, https://sepal.io)

GHGi ü countries supported in capacity development, enabling GHG reports to UNFCCC

FREL/FRL Submitted ü FAO-UNREDD supported 70% of the submissions made in 2018

FREL/FRL under construction with UNREDD-FAO support

Uncertainties on AD has been reported in lot of the submissions

Capacity building phase ü Technical documents, webinars, videos, in-country support

• FREL/FRL: Support to Forest Reference Emission Levels/Forest Reference Levels for REDD+

Page 7: Linking Remote Sensing and In situ data for global

Current and Future areas of work (2016 – 2020)

FAO Forstry

1. NFM

§ NFMS/MRV and FREL/FRLContinue and upscale FAO support to developing countries in the NFMS development (for REDD+ and other objectives), building on cumulative experience and existing tools

§ Governance, Tenure and SafeguardsContinue FAO support to countries in analyzing, establishing and implementing enabling legal, policy and tenure frameworks for REDD+, e.g. to operationalize REDD+ National Strategy/Action Plans and the NFMS, and to address and respect the UNFCCC REDD+ safeguards.

Page 8: Linking Remote Sensing and In situ data for global

Current and Future areas of work (2016 – 2020)

2. REDD+ IMPLEMENTATION

§ Supporting formulation of REDD+ national strategies and Investment Plans

§ Support the implementation of REDD+ actions (PAMs), which can be measured, reported and safeguarded

- Advantage of FAO’s cross-sectoral expertise- Building on existing experience (i.e. SFM implementation)- Strengthening collaboration with other FAO initiatives; e.g. FLEGT, FFF, FLR mechanism- Ensuring social and environmental positive impacts- Promoting public-private partnerships- Activities planned in DRC and Equatorial Guinea, supporting REDD+ investment plans.

§ NFMS and FREL/FREL will still be key elements during REDD+ implementation - Scope to expand EU collaboration on National Forest Inventory (particularly the

Pacific) - Interest in further collaboration (LOAs and other) with other institutes e.g. JRC, WUR

and BU (i.e. Forest degradation, high resolution imagery data processing,…)

Page 9: Linking Remote Sensing and In situ data for global

Current Programmes and resource partners

FAO Forestry

§ UN-REDD programme (in collaboration with UNEP, UNDP)

§ Capacity building co-chair of GFOI with Silvacarbon

§ World Bank (FCPF, FIP, BioCF)

§ African Development Bank (through COMIFAC)

§ CAFI (Central African Forest Initiative)

§ Bilateral collaboration (EU, Finland, US-AID, Brazil-Norway)

§ INPE through MOU since 20013

Page 10: Linking Remote Sensing and In situ data for global

FAO country support for forest monitoring

• Demand Driven• Capacity Building• Participatory process• Address National and International

Policies and Reporting Requirements (harmonization to national and global standards)

• Knowledge Sharing (e.g. south-south collaboration)

• Institutionalized & Sustainable

Technical support to REDD+ countries on NFMS, FREL and beyond

FAO support

Page 11: Linking Remote Sensing and In situ data for global

https://sepal.io

Page 12: Linking Remote Sensing and In situ data for global

Cloud computing structure

(SEPAL)

Digital Globe Planet

Page 13: Linking Remote Sensing and In situ data for global

www.openforis.org

Open Foris Initiative: Free and Open Source Tools and Methods for Data Collection, Analysis and Reporting

Page 14: Linking Remote Sensing and In situ data for global

OpenFORIS: suite of geospatial modules• Collect(mobile), Collect Earth, Geospatial Toolkit

• OpenSAR toolKit

• Tools for quasi-fully automatic preprocessing of nationwide SAR mosaics

• Up to date: ALOS Palsar FBD data, 30m output resolution

• Output Stack: Backscatter values, Ratio, Texture measures, DEM + aspect + slope

• Nice example of integration with SEPAL

Page 15: Linking Remote Sensing and In situ data for global

SEPAL Modules

Page 16: Linking Remote Sensing and In situ data for global

- Combining datasets for: - Forest / non-forest- Change detection- Biomass

SEPAL Data Integration

Page 17: Linking Remote Sensing and In situ data for global

Biomass - Optical (Landsat) Only

Page 18: Linking Remote Sensing and In situ data for global

FAO / Norway SEPAL Progress Report 17/09/2015

Biomass - RADAR (ALOS) Only

Page 19: Linking Remote Sensing and In situ data for global

Biomass data used for the Zambia FREL reporting to UNFCCC

Biomass - Optical + RADAR

Page 20: Linking Remote Sensing and In situ data for global

SEPAL Conclusion

• Improve connection between data / users / information products for REDD+

• Increase production speed of products required for MRV

• Open, flexible system for rapid and standardized image processing

• Building national capacity for autonomous creation of national statistics

• Cloud-based and desktop functionality

Page 21: Linking Remote Sensing and In situ data for global

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FAO Forestry

Methodologies and technology for geospatial monitoring

Countries require easy and inexpensive access to technology and tools to generate their own geospatial data (systems)

Ø Access to technology is quite limited, particularly for remote-sensing technologies and data

Ø The basics are often missing (e.g. steady electricity, high-speed internet, performing computers, software packages)

Ø Certain technologies are costly (e.g. HR images, Lidar, commercial software packages), limiting large-scale deployment and sustainability

Ø Ownership of data is crucial

Ø Use of time series for consistency

Ø Not promote specific tools/data sets but provide overview of available options

Ø Help governments make informed decisions

Ø Support country decisions and tailor best available approaches while maintaining consistency and comparability of results

Ø Heavy reliance on complex & costly technology may not be in all developing countries’ best interest

Ø Open source, free software/ global or national data sets that meet international requirements. If not, new tools can be developed

Experience Lessons learned

Page 22: Linking Remote Sensing and In situ data for global

Web portal developmentFor transparent access to national forest data information, forest cover change, monitoring of the implementation and impact of REDD+ policies and measures

Page 23: Linking Remote Sensing and In situ data for global

What we’ve learned• A few dedicated individuals can make all the difference

– Use of international advisors hand-in-hand with national technicians• Need to see capacity building & knowledge transfer in broader terms

– Training of resilient national institutions and consultants– Mandate of institutions should be clear

• Integration NFI and RS, as well as integration of global data and national (local) knowledge

• On-the-job training is key– Trainings are geared towards producing results– Essential to get faster delivery

• Sharing data and data access is crucial and key: data sharing agreements for national products

• Near-real time monitoring for early warning• Resilience is often at risk

– Easy to develop quickly elements of NFMS, but resilience will be lacking– Long-term commitment is required by government and partners in order to secure

sustainability

Page 24: Linking Remote Sensing and In situ data for global

• Collaboration with other projects in Forestry and Climate department : use of data pre-processing and change detection algorithms as well as integration of more HR satellite datasets as well as field data into SEPAL and its preprocessing chains

• Integrating open source software and methods– R scripts, Excel Spreadsheets, QGIS instructions

• Support for data generation (both AD and EF) for submission to UNFCCC (FREL, BUR,..) and FRA 2020

• In-country support using best available data (global, national,..)• Integrating of field data on the national portals• Ongoing and new collaborations with institutions, NGOs and

academia (WUR, BU, GFOI, Silvacarbon,…)

Way forward NFMS support

Page 25: Linking Remote Sensing and In situ data for global

Thank you!Inge Jonckheere & REDD+ team

Erik Lindquist

FAO, Forestry Department, NFM, SLMS Team

Connect with us online: Facebook, Twitter, Youtube

www.un-redd.org

www.unredd.net