remote sensing survey distribution of forests trend statistics

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Remote sensing survey Distribution of forests Trend statistics

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Page 1: Remote sensing survey Distribution of forests Trend statistics

Remote sensing survey

Distribution of forests

Trend statistics

Page 2: Remote sensing survey Distribution of forests Trend statistics

Distribution of forests

Page 3: Remote sensing survey Distribution of forests Trend statistics

Distribution of forests

MODIS 250m (tree cover)

Page 4: Remote sensing survey Distribution of forests Trend statistics

Trend statistics

Page 5: Remote sensing survey Distribution of forests Trend statistics

Trend statistics

1975

1990

2000

2005

Page 6: Remote sensing survey Distribution of forests Trend statistics

Land cover classes

LCCS as the framework

Starting point:• Tree cover• Shrubs• Mosaic• Other vegetated land• Burnt area• Non-vegetated land• Water• No data including cloud cover

Page 7: Remote sensing survey Distribution of forests Trend statistics

Land use classes

Forest

Other wooded land

Other land with tree cover

Grassland/range/herbaceous

Agricultural crops

Built-up area

Other non-vegetated areas

Water

No data

Page 8: Remote sensing survey Distribution of forests Trend statistics

Implementation

• Common framework and classification system

• High degree of flexibility

• Involvement of national teams

• Support to countries

Data acquisition

Pre- processing

Decentralisedinterpretation

Upload of results

Analyses &reporting

Page 9: Remote sensing survey Distribution of forests Trend statistics

Pre-processing

Page 10: Remote sensing survey Distribution of forests Trend statistics

Expected outputs

Regional, biome and global trends related to forests 1975-1990-2000-2005:

• area change statistics• information on land use dynamics

Forest maps

A framework to support further monitoring of forests, land use and the environment

Baseline data for research, modeling...

Page 11: Remote sensing survey Distribution of forests Trend statistics

Partners

Countries: national agencies, regional hubsFAOJRCUniversities (SDSU, UMD, Jena, Boston, Mississippi) USGS/EROS data centerNASAHeinz CenterWorld BankUNEP WRI, CIGOFC-GOLDGEO SecretariatOpen to others

Page 12: Remote sensing survey Distribution of forests Trend statistics

Recent meetings

JRC, Ispra, 28-29 Sept. 2006 (Methodology)

DC, 18-19 Oct. 2006

(Partnerships)

Rome, 18-19 Dec. 2006 (Work Plans)

JRC, Ispra, 1-2 Mar. 2007 (Methodology)

Page 13: Remote sensing survey Distribution of forests Trend statistics

Input from UNECE ToS

• Review of proposed methodology• Identification of focal points• Proposal for how to implement in

UNECE• Regional approach for North

America• Tool for validating forest/non-forest

map for Europe