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Reducing Emissions from Deforestation and Forest Degradation (REDD, and later REDD+) was launched in 2005 as part of the Kyoto protocol. Each of these programs has the larger goal of stabilizing global average temperatures by reducing manmade emissions of carbon dioxide, therefore making an effort to slow global warming. Nearly 20% of global greenhouse gas emissions (GHG) are caused by the following items, which all play a role in raising the average global temperatures: » deforestation » forest degradation » infrastructure development » expansion of agricultural lands » destructive logging » uncontrolled forest fires RapidEye™ Satellite Imagery Supporting Global REDD+ Activities on a National, Regional or Local Level Clear-Cut area in Bolivia

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Reducing Emissions from Deforestation and Forest Degradation (REDD, and later REDD+) was launched in 2005 as part of the Kyoto protocol. Each of these programs has the larger goal of stabilizing global average temperatures by reducing manmade emissions of carbon dioxide, therefore making an effort to slow global warming.

Nearly 20% of global greenhouse gas emissions (GHG) are caused by the following items, which all play a role in raising the average global temperatures:

» deforestation

» forest degradation

» infrastructure development

» expansion of agricultural lands

» destructive logging

» uncontrolled forest fires

rapideye™ satellite imagerySupporting Global REDD+ Activities on a National, Regional or Local Level

Clear-Cut area in Bolivia

rapideye for redd+

| BlackBridge Provides REDD+ MRV Support

MRV (Measurement, Reporting and Verification) is one of the most critical elements for the successful implementation ofany REDD+ mechanism. Remote sensing is a key ingredient of the ‘monitoring’ component, and imagery from the RapidEyeconstellation of satellites has been shown by many countries and organizations to be one of the best suited for crediblemeasurement.

Since February 2009,the RapidEye constellation has been collecting an extensivearchive of imagery;over one billion squarekilometers every year.An very large amountof the imagery inthe RapidEye archiveis over countriesparticipating in, andintending to participatein, the REDD initiative.

Cloud Coverage: < 20%

2009 - Q3 2013

To see some country coverage overviews, visit us at http://www.blackbridge.com/rapideye/redd/

LaosTanzania

Brazil Peru Ethiopia Congo, DRC

ColombiaVietnam

| Key Advantages of RapidEye Imagery

RapidEye imagery can meaningfully contribute to REDD+ inititatives within any country. Key advantages include:

RaPiDEyE aDVanTagEs ConTRiBuTion To REDD

High Resolution Imagery(Five Meter Pixel Size)

Ideal for identifying both deforestation and forest degradation. Five meter pixel size suitable for a Minimum Mapping Unit (MMU) of 0.5 ha

Largest High Resolution Collection Capacity From a Constellation of Five Identical Satellites

Wall-to-wall national coverages in short time frames; allowing for multi-temporal datasets over large areas

Multi Temporal Multiple imaging opportunities due to daily revisit possibilities over the same point on earth. This allows for base and reference mapping and change detection based on various coverages over large areas

Multi-spectral Sensor With Five Bands (including Red Edge)

The RapidEye sensors were built with the visible bands of Blue, Green and Red as well as Near-Infrared and the Red Edge band, which allows for Improved vegetation monitoring and analysis

Multiple Country Coverages Already Available

EyeFind makes it easy to find out quickly! Visit eyefind.blackbridge.com

Proven Track Record in Global REDD Efforts

Several current REDD projects rely on BlackBridge for monitoring (Mexico, Guyana, Nepal, Costa Rica, Panama and more…)

Guaranteed Data Continuity BlackBridge is committed to providing a long-term data source. While it is assumed that the RapidEye constellation will be operational into 2019 or beyond, plans for a second generation are currently underway

Deforestation in Brazil Deforestation in Cambodia

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| BlackBridge in Action

rapideye for redd+

f o r e s t d e g r a dat i o n & C H a n g e d e t e C t i o n

RapidEye imagery offers the possibility to detect both deforestation and forest degradation. With its combination of high spatial resolution and short revisit times, the RapidEye constellation facilitates timely monitoring and detection of even low intensity forest disturbances such as illegal logging, as narrow gaps in the forest canopy are still identifiable.

Rondônia, Brazil. september 2009 Rondônia, Brazil. June 2012

A major benefit of the RapidEye constellation is its ability to acquire multi-temporal imagery. A specific location can be targeted several times within a year to have a comprehensive imagery time series. Sometimes fast vegetation regrowth hampers the detection of burn scars. This problem can be solved by utilizing the short-term repetitive monitoring capabilities of the RapidEye constellation.

f o r e s t f i r e

Burn scar Mapping in Central Kalimantan, indonesia

The combination of high spatial resolution, large area coverage and high revisit capability makes RapidEye imagery a cost effective information source for forest land cover assessments. Five spectral bands allow for reliable forest classification with the inclusion of the Red Edge band, which considerably improves vegetation discrimination.

f o r e s t t y p e C l a s s i f i C at i o n

For more information visit www.blackbridge.com/rapideye/redd/ or contact us at [email protected]

www.blackbridge.com

[email protected]

Burn Scars