t.2.1 – remote sensing and multispectral analysis (by fly)
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SLOPE WP 2 – Task 2.1
Kick-off Meeting 8-9/jan/2014
Andrea Masini, PhD
Remote sensing and multispectral analysis
Remote Sensing DepartmentFlyby S.r.l.
Task 2.1: general description
Kick-off Meeting 8-9/jan/2014
• design of an automatic chain that provides a first level forest inventory exploiting satellite imagery
• calculation of NDVI (Normalised Difference Vegetation Indices) to monitor tree growth and biomass production also in mountainous environment
• first level forest inventory used also to drive more accurate UAV/in-situ measurements
• satellite-based data fusion with other data to achieve more accurate results
Task 2.1: participants
Kick-off Meeting 8-9/jan/2014
•Flyby S.r.l. (Leader)
• CNR
• Coastway
• TreeMetrics
Task 2.1: expected output
Kick-off Meeting 8-9/jan/2014
• Deliverable D2.01 (month 8 – August 2014) :
Report on remote sensing data collected, on the methodologies
and the algorithm to extract needed information and on the
generated output
Use of satellite data for forestry
Kick-off Meeting 8-9/jan/2014
Satellite imagery can be extremely useful in the forestry sector in particular for :
• forest health near real-time monitoring
• accurate and wide forest inventory
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Use of satellite data for forestry Studies
Different type of analysis
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LOW SPATIAL RESOLUTION
EO data used so far for forestry
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EO data used in the past for
• Cover Change Detection • Mapping biophysical structure • Mapping ecosystem services (carbon, water) • Modelling trends under change scenarios • Generating management plans
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The vegetation indexes
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The vegetation indexes
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Forest classification
RapidEye satellite imagery
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RapidEye satellite imagery
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Kick-off Meeting 8-9/jan/2014
RapidEye satellite – Forestry Studies
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RapidEye satellite – Forestry Studies
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RapidEye satellite – Forestry Studies
Kick-off Meeting 8-9/jan/2014
RapidEye satellite - Forestry
Kick-off Meeting 8-9/jan/2014
RapidEye satellite – Forestry Studies
Other high resolution satellite data
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We will investigate the following data:
Kick-off Meeting 8-9/jan/2014
Task 2.1 main objectives
• design of an automatic chain that provides a first level forest inventory exploiting satellite imagery
• calculation of NDVI (Normalised Difference Vegetation Indices) to monitor tree growth and biomass production also in mountainous environment
• first level forest inventory used also to drive more accurate UAV/in-situ measurements
• satellite-based data fusion with other data to achieve more accurate results