Post on 31-May-2020
Frédéric Achard, Joint Research Centre, European Commission
Thought starter 2: Remote sensing: role, opportunities and
challenges
CPF Organization-Led Initiative (OLI)
Rome, November 28-30, 2016
Content
Availability of Remote Sensing data for monitoring forest cover
Global or National Surveys using Remote sensing data:
– Global Forest Watch – Remote Sensing Survey of FAO FRA-2010– Global Forest Survey (GFS) of FAO– Brazilian remote sensing survey
Global Biomass Mapping initiatives
Characteristics of Landsat-8 OLI and Sentinel-2 sensors
Nation Satellite Resolution& coverage
Cost for data Feature
USA Landsat-8OLI
15 m – 30 m16 days
All data archivedat USGS are free
Data are systematicallyacquired since June 2013
EU Sentinel-2 10 m- 20 m5 – 10 days
All data archivedat ESA are free
Data are systematicallyacquired from July 2016
Global availability of Landsat and Sentinel-2 data
Two main sources of free global mid-resolution remote sensing imagery:
- from NASA (Landsat satellites) for data acquired since early 1980s - from ESA (Sentinels satellites through Copernicus programme) for data
acquired since mid-2010’s
Multispectral LANDSAT 8 image30 m pixel resolution
22 Jan 2015
525 November 2016Sentinel-2 Image, Democratic Republic of the Congo, 50km North of Yangambi
Image size: ~ 15 km × 10 km ; date : 22 September 2015
Detection of Logging roads in DR Congo
Global or National Surveys using Remote sensing data for forestry statistics
Global Forest Watch
Remote Sensing Survey of FAO FRA-2010
Global Forest Survey (GFS) of FAO
Brazilian remote sensing survey
Global Forest Cover Change Mapping: Global Forest Watch dataset (WRI / Google / Univ. Maryland)
Global Remote Sensing Survey of FRA-2010
Gross forest and OWL loss during period 2000-2010
COLLECT EARTHAN OPEN SOURCE TOOL FOR AUGMENTED VISUALINTERPRETATION
COLLECT EARTHAN OPEN SOURCE TOOL FOR AUGMENTED VISUALINTERPRETATION
Example of Systematic Sample at national level:
Landscape Units of the Brazilian National Forest Inventory
Location of the landscape Sample Units
for the state of Parana
• Sampling intensity: every 40km x 40km
• Size of SU: 10km x 10km
• Each SU is covered by Satellite imagery (RapidEye at 5 m res.)
• Data collection=imagery interpretation
Global Biomass Mapping: Existing datasets
Map Coverage Resol. Year RS input data Organization
Saatchi et al. (2011) Tropics 1 Km c. 2000‐2001 MODIS, GLAS NASA
Baccini et al. (2012) Tropics 500 m 2006‐2007 MODIS, GLAS WHRC
Avitabile et al. (2016) Tropics 1 Km 2000’s Saatchi & Baccini maps EU GEOCARBON
Thurner et al. (2014) Boreal 1 Km 2010 Envisat ASAR ESA BIOMASAR
Thurner et al. (2014)
Map Coverage Resol. Year RS input data Organization
Baccini et al. (2016) Tropics 30 m 2000 Landsat, GLAS WHRC ‐ GFW
Saatchi et al. (in review) Global 100 m 2010 Landsat, GLAS, Wood density NASA
Santoro et al. (in prep.) Global ̴100 m 2010 Landsat, GLAS, ALOS ESA ‐ GlobBiomass
Global Biomass Mapping: New/upcoming datasets
Thanks for your attention