5. Since 80’s several systems to monitor
deforestation through remote sensing
have being implemented
PRODES / AMAZON (since 1988)
SAD/AMAZON (since 2005)
DETER / Alerts AMAZON (since 2005)
ATLAS MATA ATLANTICA (Since 1985) (…)
GFW / WRI (Since 2000)
6.
7. We need to move from tree cover
change to land use change
Forest Non-Forest
Forest
Non-Forest
Year1
Year 2Year1
Year 2
Forest Pasture Crops Urban Mining (….)_
Forest
Pasture
Crops
Urban
Maining
(…)
8. There are few land cover/land use maps of Brazil for specific years
(1994, 2002 and 2010)
`Our challenge: develop a cheaper, faster and reliable method do
produce the historical annual land cover/use maps of Brazil
Traditional method is expensive, slow and require lot
a equipment, software and interpreters
Create the tools to facilitate the dissemination and
adoption of the method in other countries/regions.
Publish the data, analyses, tools and script in a open
cloud base platform.
10. Mains characteristics
Based on Landsat
Collection
(resolution 30 mt)
Processing pixel by
pixel
(˜30 x 30 mt)
Organize by
standardized maps
tiles (1 x 1,5o)
(556 tiles for Brazil)
Cloud based
processing
11. Collection based implementation
1985 2000 2008 2017
Collection 2
Collection 3
Collection 1
8 years
2008-2015
17 years
2000-2016
33 years
1985-2017
24. Several Applications being created since
release of Collection 2 in 2017
Deforestation
of Brazil
GHG
Emissons
Inventories
Productivity
and Intensity
of Cattle
production
Expansion of
Urban
Infrastructure
First Map of
Mangroves
Regeneration
of Atlantic
Rainforest
Cover
Ineffectual
diseases risk
assessment
We need to understand transitions
Emissions
Underline causes of deforestation, degradation, regeneration
Identify the need for technical assistance / pubic policy
In other to produce at least annual land use maps because the dynamics of change in our country is immense
If we understand the not just where deforestation happend, but what is the driver
If we can understand the different partners in different regions …
We can apply policies much more effectively.
Example: Sugar cane and Cattle in in São Paulo
Catle and Agriculture in Mato Grosso (ex. of Sinop)
Specialist Remote Sensing\
Experts on Biomes, Forest and Land Use
Computer Scientist & Code Developers
The best on Computer Science, Remote Sensing Specialists and Experts on Land Use, Forest and Biodiversity
Operating on the same platform where they can exercise their knowledge collectively
Workshops, Weakly Web Conferences and a lots of exchenges of codes and discoveries through Code Editor and Workpace.
Withouh GEE this effort would be impossible