PALSAR MOSAIC Analysis

SAR TRAINING – Macapa 13 April 2015

PRESENTATION

1 – Area of interest selection

2 – Images selection

3 – Pre-processing

4 – Filtering

5 – Discussion

1 – RAPPELS SUR LE PROJET

Area of interest

Area of interest with many outstanding Elements :

Forest exploited and not exploited

Illegal exploitation and legal

Natural Reserve

Atypical reliefs

Lucifer dekou dekou ONF Conservation area

6

Forest management

Undefinied Ecologic interest Protection Production Native area

Forest logging

2014 Exploited area

Mining activity

geological favourability => Greenstones

Mining activity

Legal concession

Mining activity

Exploited area

RADAR ANALYSIS

Catalog selection 4 images for the area Mosaic generation vrt./qgis Mosaic in HH and HV Stacked in tiff

Nest

Subset on ROI

Filtering speckle LEE 5x5 -> 20 looks

Estimates 3x3

ROI

• 0 - Forest

• 1- Gold-mining

• 2 – clear water

• 3 – turbid water

• 4 –bare soil

RADAR / SPOT

• 0 - Forest

• 1- Gold-mining

• 2 – clear water

• 3 – turbid water

• 4 –bare soil

discussion

• Mountain shadow problems

• Reprojection needed to the learning area

• ROI area size is important

• Coherence is needed between the data used for learning and RADAR data (Spatial / Temporal)

• Filtering post-processing could improve analysis

discussion

• Use the potential of RADAR data to provide complementary information of optics data

• Use RADAR, in Forest management to estimate logging impact in order to evaluate logging quality

1 – Studied parcel

1 2 3

6 5 4

Detecting Impacts of logging on the canopy using SPOT5 data

4 – Intersection of 2 + 3

2 – Cloud and shadow mask 3 – Potentially logged areas

5 – Impacts on the whole masked area (2)

(based on vegetetion indices : NDVI & NDWI) 6 – Impacts on the intersection

(4)