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RapidEye Satellite Imagery Supporting Global REDD+ Activities on a National, Regional or Local Level

Clear-cut area in Bolivia

Offering the largest collection capacity, the largest archive and the quickest return times to any place on earth, the RapidEye constellation of five identical Earth Observation (EO) satellites is continuously collecting imagery over countries involved in the REDD and REDD+ programs. The combination of large-area coverage, frequent revisit intervals, five multi-spectral bands and high resolution makes RapidEye your best choice within the remote sensing industry. 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 man-made emissions of carbon dioxide, making an effort to slow global warming. Nearly 20% of global greenhouse gas (GHG) emissions are caused by the following items, which all play a role in raising average global temperatures:

»» deforestation »» forest degradation »» infrastructure development

»» expansion of agricultural lands »» logging »» forest fires

Since February 2009.rapideye for redd+ RapidEye Provides REDD+ MRV Support MRV (Measurement. and imagery from the RapidEye constellation of satellites has been shown by many countries and organizations to be an excellent source of information for credible measurement. Remote sensing is a key ingredient of the ‘monitoring’ component. or intending to participate in the REDD initiative.rapideye. Brazil Peru Ethiopia Congo. visit the RapidEye website at http://www. RapidEye has been expanding its archive by over one billion square kilometers every year.com/redd/ and see how RapidEye has covered many countries from Argentina to Zimbabwe. Reporting and Verification) is a critical element for the implementation of any REDD+ mechanism. Several million square kilometers of the imagery in RapidEye’s archive are over countries participating in. 2009-2012 Cloud Coverage: < 20% RapidEye‘s regular coverage of most countries assures a reliable base for MRV programs requiring accurate identification of deforested and degraded areas. DRC Tanzania Laos Vietnam Colombia To view country coverage overviews. .

RapidEye Advantages Archive Contribution to REDD Over one billion square kilometers of EO data is added to RapidEye‘s archive every year Five meter pixel size is suitable for a Minimum Mapping Unit (MMU) of 0. Green and Red as well as Near-Infrared and the Red Edge band.com RapidEye collects up to five million km² of earth every day. allowing for multi-temporal datasets over large areas Multiple imaging opportunities due to daily revisit possibilities over the same point on earth (always < 20 degrees off-nadir) Allowing for reference mapping and change detection based on various coverages over large areas RapidEye’s sensors were built with the visible bands of Blue.rapideye.RapidEye‘s Key Advantages RapidEye’s satellite imagery can significantly contribute to REDD+ inititatives within any country. plans for a second generation are currently underway Deforestation in Brazil Deforestation in Cambodia . Wall-to-wall national coverages in short time frames. Panama and more…) High resolution imagery (five meter pixel size) Multiple country coverages already available Collection capacity Multi-temporal Reliable collection of data in narrow time windows Multi-spectral sensor with five bands (including Red Edge) Proven track record in global REDD efforts Guaranteed data continuity RapidEye is committed to providing a long-term data source. While it is assumed RapidEye’s constellation will be operational into 2019 or beyond. Nepal. Costa Rica. Guyana. which provides improved vegetation monitoring and analysis Several current REDD projects rely on RapidEye for monitoring (Mexico. Ideal for identifying both deforestation and forest degradation EyeFind makes it easy to find out quickly Visit eyefind.5 ha.

rapideye. A specific location can be targeted several times within a year to have a comprehensive time series of imagery. June 2012 forest fire A major benefit of RapidEye imagery is its ability to acquire multi-temporal image data. Brazil.rapideye for redd+ RapidEye in Action Deforestation. Sometimes vegetation regrowth hampers the detection of burn scars. Indonesia Forest type classification The combination of high spatial resolution. All rights reserved. Brazil.rapideye. Land cover classification focusing on forest types For more information visit www.com . RapidEye facilitates timely monitoring and detecting of even low intensity forest disturbances. September 2009 Rondônia. as narrow gaps in the forest canopy are still identifiable. large area coverage and high revisit capability makes RapidEye data a cost effective information source for forest land cover assessment. forest degradation & CHANGE DETECTION RapidEye imagery offers the unique possibility to detect both deforestation and forest degradation. Rondônia. Burn Scars Burn Scar Mapping in Central Kalimantan. The inclusion of the Red Edge band considerably improves vegetation discrimination. This problem can be solved by utilizing RapidEye’s short-term repetitive monitoring capabilities. As an example. Five spectral bands allow for reliable forest classification.com/redd/ or contact us at redd@rapideye. illegal logging is much easier to distinguish.com Germany | USA | Canada | Luxembourg www. With its combination of high spatial resolution and short revisit times. Copyright © RapidEye.