Monitoring of Tropical Deforestation and Land Cover Changes in Protected Areas: JRC Perspective
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1 Monitoring of Tropical Deforestation and Land Cover Changes in Protected Areas: JRC Perspective Z. Szantoi, A. Brink, P. Mayaux, F. Achard Monitoring Of Natural resources for DEvelopment (MONDE) Joint Research Centre European Commission 1
2 Joint Research Centre and Biodiversity Support to the European Commission and the member states African, Caribbean and Pacific Group of States (ACP) United Nations Convention on Biological Diversity Group on Earth Observations Biodiversity Observation Network Projects in/for Developing Countries: African Monitoring of the Environment for Sustainable Development AMESD Monitoring of Environment and Security in Africa - MESA Biodiversity and Protected Areas Management in the ACP regions BIOPAMA Biodiversity Sustainable Conservation Support Program - PacsBio 2
3 Digital Observatory of Protected Areas Toolbox for Biodiversity A set of web based tools to Assess, Monitor, and Forecast Biodiversity at the Global Scale
4 DOPA information flow Protected Areas Habitats Ecological Monitoring & Forecasting Species
5 The Web Services of DOPA NBSAPs Managers Donors 5
6 Land Cover Change web service Land cover change estimation ACP countries Bolivia Protected areas / 20 km buffer zone Medium resolution imagery Landsat TM, ETM+ DMC 22m Procedure Collection and Selection Preprocessing Segmentation Classification Validation SSA / Category Number of parks IUCN (Iab,II,III,IV) 846 National, Ramsar, UNESCO 147
7 Data screening / selection tool 7
8 Segmentation 8
9 Classification Phrase I. Automatic Classification Tree Cover (>70%) Tree Cover Mosaic (30-70%) Other Wooded Land Other Land Cover Water Clouds and Shadows Phrase II. Online validation Additional classes to be discriminated within other wooded land and other land cover 9
10 Phrase I. Results Umtamvuna Provincial Nature Reserve - South Africa
11 Phrase I. Results Intra annual Inter annual 11
12 Validation tool 12
13 Validation Final Steps Hybrid' approach automatic segmentation and classification (Phrase I.) visual correction/validation from 'experts (Phrase II.) Develop a water/forest/shrub mask Experts manually delineate/add the agriculture classes based on the segments classified as other land cover or other wooded land LCC system will allow the inclusion of future databases (2015/2020 imagery, Landsat 8, DMC, Sentinel 2) 13
14 Project Deliverables Imagery Selected imagery for each investigated protected areas in: raw, and pre-processed (calibrated, radiometrically and topographically corrected) formats Maps (validated-non-validated) Classified object based classification for each year scenes mosaics Land cover change ( ) 14
15 Recent Scientific Publications Bodart et al., 2013 Continental estimates of forest cover and forest cover changes in the dry ecosystems of Africa for the period Journal of Biogeography, doi: /jbi Desclée et al., 2013 Multi-sensor monitoring system for forest cover change assessment in central Africa IEEE JSTARS, 6(1): Mayaux et al., State and evolution of the African rainforests between 1990 and Phil. Trans. R. Soc. B., Accepted Raši et al., 2011 An automated approach for segmenting and classifying a large sample of multi-date Landsat-type imagery for pan-tropical forest monitoring Remote Sens. Env., 115:
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