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Big Earth Observation Data Analysis Gilberto Câmara www.esensing.org Creative Commons License: By Attribution Non Commercial Share Alike
Big Earth Observation Data Analysis
Gilberto Câmarawww.esensing.org
Creative Commons License: By Attribution ̶̶̶̶̶̶̶̶̶̶̶̶̶̶̶̶ Non Commercial ̶̶̶̶̶̶̶̶̶̶̶̶̶̶̶̶ Share Alike
Earth Observation data is now free…and big
graphics: NASA
Sentinels + CBERS + LANDSAT + …: > 10Tb/day
Traditional approach: compare two dates
Find forest areas in images from 2000 and from 2010 Compare the results to account for forest loss(650,000 LANDSAT images – 140 x 109 pixels)
Hansen et al. (2013)
What is missing in the two-date comparison?
Removal of natural forest Cuts on planted forests
Two-date comparison does not distinguish between types of forest removal
Space first can lead to inconsistent land trajectories
Data sources: INPE, NASA. Analysis by M. Buurman
MODIS land cover: unrealistic forest gains and losses
A scientific question linked to public policy
When is a forest not a forest?
Distinguishing forests by temporal evolution
Chadzon et al (2016)
Distinguishing forests by temporal evolution
Chadzon et al (2016)
Área 1
Área 2
Área 3
graphics: Victor Maus (INPE, IFGI)
Land trajectories
Forest
PastureForest
Forest Agriculture
Agric
“The transformations of land cover due to actions of land use”
Land trajectories
2001 2006 2013
Forest Single cropping Double cropping
Land trajectories: forest degradation
2007 2009
2007 2009
EVI Time Series
Land trajectories: forest degradation
2007 2008
2007 2009EVI Time Series
PRODES
Data Cube = Time-series multi-dimensional (space, time, data type) stack of spatially aligned pixels used for efficient and effective data access and analysis.
A datacube of remote sensing imagery
TIME
Datacubes: o velho e o novo
Tradicional: classificar umaimagem de cada vez
Inovação: classificarséries temporaisusando todos os dados disponíveis
Land use change trajectories in the Amazonian biome of Mato Grosso state (2001-2014)
2001 2014
33 million time series
2002Mato Grosso – Amazonia biome (2002)
2003Mato Grosso – Amazonia biome (2003)
2004Mato Grosso – Amazonia biome (2004)
2005Mato Grosso – Amazonia biome (2005)
2006Mato Grosso – Amazonia biome (2006)
2007Mato Grosso – Amazonia biome (2007)
2008Mato Grosso – Amazonia biome (2008)
2009Mato Grosso – Amazonia biome (2009)
2010Mato Grosso – Amazonia biome (2010)
2011Mato Grosso – Amazonia biome (2011)
20122012Mato Grosso – Amazonia biome (2012)
2013Mato Grosso – Amazonia biome (2013)
Rules for forest degradation and regeneration
Data exploration interface
WTSS: web time series service
WTSPS: web time series processing service
Methods for land change for forestry
and agriculture uses
INPE’s Datacube: an open source architecture
Unique repository of knowledge and data about global land change
40 years of LANDSAT + 12 years of MODIS + SENTINELs + CBERS
Methods for land change for forestry
and agriculture uses
