REDD-FLAME
REDD Fast Logging Assessment & Monitoring Environment
| Coordinatore | REMOTE SENSING APPLICATIONS CONSULTANTS LIMITED
Organization address
address: "THE LONG BARN, SUTTON MANOR, BISHOPS SUTTON" contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Sito del progetto | http://redd-flame.info/ |
| Totale costo | 616˙106 € |
| EC contributo | 498˙901 € |
| Programma | FP7-SPACE
Specific Programme "Cooperation": Space |
| Code Call | FP7-SPACE-2010-1 |
| Funding Scheme | CP-FP-SICA |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-03-01 - 2013-04-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
REMOTE SENSING APPLICATIONS CONSULTANTS LIMITED
Organization address
address: "THE LONG BARN, SUTTON MANOR, BISHOPS SUTTON" contact info |
UK (ALRESFORD) | coordinator | 167˙139.20 |
| 2 |
SarVision B.V.
Organization address
address: Agro Business Park 10 contact info |
NL (Wageningen) | participant | 165˙004.80 |
| 3 |
TerraSphere Imaging & GIS B.V.
Organization address
address: Keizersgracht 114 contact info |
NL (Amsterdam) | participant | 57˙404.00 |
| 4 |
WAGENINGEN UNIVERSITY
Organization address
address: DROEVENDAALSESTEEG 4 contact info |
NL (WAGENINGEN) | participant | 45˙519.00 |
| 5 |
REMOTE SENSING SOLUTIONS GMBH
Organization address
address: ISARSTRASSE 3 contact info |
DE (BAIERBRUNN) | participant | 39˙502.00 |
| 6 |
YAYASAN BALIKPAPAN ORANGUTAN SURVIVAL FOUNDATION*YAYASAN PENYELAMATANORANGUTAN BALIKPAPAN THE BORNEO ORANGUTAN SURVIVAL FOUNDATION BOSF
Organization address
address: JL PAPANDAYAN 10 RT 001/003 contact info |
ID (BOGOR) | participant | 9˙799.05 |
| 7 |
UNIVERSIDADE EDUARDO MONDLANE
Organization address
address: "Reitoria Da Universidade, Praca 25 De Junho 257" contact info |
MZ (MAPUTO) | participant | 7˙999.05 |
| 8 |
Equipe de Conservacao da Amazonia
Organization address
address: "SAUS Q3 Ed. Business Point, bloco C salas 3" contact info |
BR ("Brasilia, DF") | participant | 6˙533.00 |
Mappa
Word cloud
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Obiettivo del progetto (Objective)
'The REDD Fast Logging Assessment & Monitoring Environment (REDD-FLAME) project will design, prototype and demonstrate a system capable of monitoring tropical and sub-tropical forests using high-resolution radar (and optical) imagery acquired by Earth Observation satellites. By focussing on early detection of logging activities, the system will provide the means to quickly identify the first signs of deforestation and thus act as a tool to control resource use and sustainable development within these fragile and valuable environments. The system will form a high-resolution add-on for existing (semi-)operational low- to mid-resolution systems, providing hot-spot monitoring for areas at highest risk of deforestation. As such, it could be integrated into national or regional forest monitoring centres and provide inputs for large scale carbon emission assessments in the context of the UN-REDD (Reducing Emissions from Deforestation and Forest Degradation) Programme.
The system will be developed in collaboration with investigators from developing countries on three continents in an effort to build lasting partnerships and transfer European expertise. Sites in Indonesia, Brazil and Mozambique have been chosen to represent a variety of forest types and deforestation issues, and thus to test the system’s versatility.
The REDD-FLAME project will bring benefits to a wide range of parties concerned with deforestation in tropical and sub-tropical environments and build capacity in the host countries for managing forest resources and carbon balances. By implementing a dedicated version of REDD-FLAME for each participating ICP country, results targeted at their specific monitoring requirements, based on the strategies and policies for deforestation in place, will be provided to give timely information on logging activities and deforestation.'
Introduzione (Teaser)
Tropical forests are among the most biologically diverse habitats on the planet but are under threat from illegal logging and mining activities. An EU-funded initiative is developing an early warning system that can rapidly identify the first signs of deforestation, thereby acting as a tool for ensuring sustainable development within these fragile ecosystems.