Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012)
‘ReCover’ was a 3-year EU-FP7 project (Nov. 2010 – Dec. 2013), aiming to develop and improve science based remote sensing services to support tropical forest management and activities to reduce emission from deforestation and forest degradation (REDD) in the tropical region (Häme et al., 2012). This...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/397/2015/isprsarchives-XL-7-W3-397-2015.pdf |
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| author | J. Haarpaintner D. de la Fuente Blanco F. Enßle P. Datta A. Mazinga C. Singa L. Mane |
| author_facet | J. Haarpaintner D. de la Fuente Blanco F. Enßle P. Datta A. Mazinga C. Singa L. Mane |
| author_sort | J. Haarpaintner |
| collection | DOAJ |
| description | ‘ReCover’ was a 3-year EU-FP7 project (Nov. 2010 – Dec. 2013), aiming to develop and improve science based remote sensing
services to support tropical forest management and activities to reduce emission from deforestation and forest degradation (REDD)
in the tropical region (Häme et al., 2012). This is an overview of the final ReCover service delivery of 2000-2012 single-year optical
(Landsat, ALOS AVNIR-2, RapidEye) and C-and L-band SAR (Envisat ASAR and ALOS Palsar, respectively) image mosaics, their
derived forest/non-forest maps, a multi-sensor forest change map (2000-2010) and a biomass map (based on 2003-2009 ICESat
GLAS) o he user of he De ocr ic Repub ic of Congo DRC), he Observatoir Satellitale des Forê s d’Afrique Cen r e OSFAC).
The results are an improvement from a first iteration service delivery in 2012 after a critical review and validation process by both,
the user and service providers, further method development and research, like a prior statistical data analysis considering
temporal/seasonal variability, improved data pre-processing, and through the use of ground reference data collected in March 2013
for classification training. Validation with Kompsat-2 VHR data for the 2010 forest/non-forest maps revealed accuracies of 87% and
88% for optical and radar sensors, respectively. |
| first_indexed | 2024-12-13T20:24:35Z |
| format | Article |
| id | doaj.art-cb2c0c7ff8e24c32aa03f620e879de5e |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-13T20:24:35Z |
| publishDate | 2015-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-cb2c0c7ff8e24c32aa03f620e879de5e2022-12-21T23:32:35ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-04-01XL-7/W339740210.5194/isprsarchives-XL-7-W3-397-2015Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012)J. Haarpaintner0D. de la Fuente Blanco1F. Enßle2P. Datta3A. Mazinga4C. Singa5L. Mane6Norut, Tromsø, NorwayGMV, Madrid, SpainAlbert-Ludwigs University Freiburg, Freiburg, GermanyAlbert-Ludwigs University Freiburg, Freiburg, GermanyOSFAC, Kinshasa, Democratic Republic of CongoOSFAC, Kinshasa, Democratic Republic of CongoOSFAC, Kinshasa, Democratic Republic of Congo‘ReCover’ was a 3-year EU-FP7 project (Nov. 2010 – Dec. 2013), aiming to develop and improve science based remote sensing services to support tropical forest management and activities to reduce emission from deforestation and forest degradation (REDD) in the tropical region (Häme et al., 2012). This is an overview of the final ReCover service delivery of 2000-2012 single-year optical (Landsat, ALOS AVNIR-2, RapidEye) and C-and L-band SAR (Envisat ASAR and ALOS Palsar, respectively) image mosaics, their derived forest/non-forest maps, a multi-sensor forest change map (2000-2010) and a biomass map (based on 2003-2009 ICESat GLAS) o he user of he De ocr ic Repub ic of Congo DRC), he Observatoir Satellitale des Forê s d’Afrique Cen r e OSFAC). The results are an improvement from a first iteration service delivery in 2012 after a critical review and validation process by both, the user and service providers, further method development and research, like a prior statistical data analysis considering temporal/seasonal variability, improved data pre-processing, and through the use of ground reference data collected in March 2013 for classification training. Validation with Kompsat-2 VHR data for the 2010 forest/non-forest maps revealed accuracies of 87% and 88% for optical and radar sensors, respectively.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/397/2015/isprsarchives-XL-7-W3-397-2015.pdf |
| spellingShingle | J. Haarpaintner D. de la Fuente Blanco F. Enßle P. Datta A. Mazinga C. Singa L. Mane Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) |
| title_full | Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) |
| title_fullStr | Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) |
| title_full_unstemmed | Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) |
| title_short | Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012) |
| title_sort | tropical forest remote sensing services for the democratic republic of congo inside the eu fp7 recover project final results 2000 2012 |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/397/2015/isprsarchives-XL-7-W3-397-2015.pdf |
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