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Application of geospatial methods and remote sensing and for evaluation
Blending quantitative with qualitative analysis in understanding change
Anupam Anand Evaluation Officer GEF IEO
Application of geospatial methods and remote sensing and for - - PowerPoint PPT Presentation
Application of geospatial methods and remote sensing and for - - PowerPoint PPT Presentation
Application of geospatial methods and remote sensing and for evaluation Blending quantitative with qualitative analysis in understanding change Anupam Anand Evaluation Officer GEF IEO Why do we need geospatial methods? Efficiency Analysis at
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European Space Agency
Big data such as from satellite imagery and sensor networks make environment and development indicators increasingly measurable
SDGs and Remote Sensing
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Biodiversity
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Biodiversity: Relevance
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Study the impact of GEF support to 1292 global protected areas across 147 countries 58% 31% 11%
KBA International Designation National Importance
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Forest Cover Change Analysis: Impact
10 20 30 40 50 60 70 80 %Forest (2000) %Gain (2000-2012) %Loss (2000-2012) PA PA-10km PA-25km
%
0.2 0.4 0.6 0.8 1 1 2 3 4 5 6 7 8 9 10 11 12 PA PA-10km PA-25km
Percent Forest Loss (%)
Year (1:2000-2001, …, 12: 2011-2012)
Yearly Percent of Forest Loss (2000 – 2012) Decadal Forest Cover, Gain and Loss (2000 – 2012)
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Biodiversity: Global Analysis
0.9% 3.4% 2.3% 4.5% Protected areas Buffer zones
Forest cover loss (2000-2012) GEF Non-GEF
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Did the intervention cause the change?
Quasi-experimental evaluation design based on Propensity score matching
GEF-supported PAs have 23% less forest loss
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International Waters
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Lake Victoria: Vegetation presence
GEF ID 88
GEF ID 2405
GEF ID 3399
Vegetation Water
2000 2003 2005 2007 2009 2011 2013 2015 2016
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Cardamom Mountains Integrated Protected Area System, Cambodia
2.1 % 1.4 % 1.1 % Cambodia loss Loss in the buffer Loss in the project site
Was this intervention sustainable?
Loss rate (%/year)
SUSTAINABILITY
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Triangulating Across Methods
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India: SLEM PMIS 3472(2009-2015)
Time series analysis using Satellite data
Year
Apr 2009 Apr 2015 Beneficiary survey
Village
Bamboo Forest
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y = 6E-06x + 0.5 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 1-Jan-08 1-Jan-09 1-Jan-10 1-Jan-11 1-Jan-12 1-Jan-13 1-Jan-14 1-Jan-15 1-Jan-16 1-Jan-17
Vegetation Productivity
2002 2015
Silva- pastoral Project, Colombia
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Restoration in Bafing Lake, Guinea
2012 2019
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NASA Digitalglobe NextView
Images at 2.5 to 0.5 m resolution used to identify drivers of change that hinder success of GEF support
Identify the drivers
2.5 m 30 m zoomed in to 2.5 m
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Challenges
➢ Need to make a business case ➢ Need to manage costs ➢ Require good technical skills ➢ Requires multidisciplinary teams for evaluation ➢ Requires keeping up with dynamic learning and upgrading of skills
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Lessons for the future
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Partner with global institutions and leverage open data and tools
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Leverage Geospatial methods within mixed approaches and methods
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Variable costs which depends on scale and scope of the evaluation, type of questions, skills, partnership, software
Lech et al., 2018 ICT4EVAL, 2019
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Interactive tools http://www.globalforestwatch.org/ : GFW offers data, and tools for forests monitoring https://global-surface-water.appspot.com/ : Global Surface Water Data visualization and download http://earthexplorer.usgs.gov : NASA-USGS Earth Explorer for raw data https://scihub.copernicus.eu/ : Copernicus Open Access hub Analytical tools(Open Access or Free) http://www.qgis.org/en/site/ : QGIS
https://earthengine.google.com/ : Google Earth
Engine(requires CODEING)
https://www.google.com/earth/ :Google Earth Pro
Resources
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Thank you
aanand2@thegef.org
GEF-KWS-IFAD MKEPP , Kenya