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Terra-i - Long Version English

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Terra-i CIAT

on 23 January 2014

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Transcript of Terra-i - Long Version English

According to Gupta (2012) “Glocal forest and REDD+ governance: win–win or lose–lose?”. Curr. Opi. in Env. Sust.
Cash crops, shifting agriculture, livestock and mining are the proximate drivers of local deforestation
An initiative for monitoring forests and other natural land covers in Latin America and the Caribbean based on
the use of geospatial tools and data
What is Terra-
Tool detecting natural vegetation loss resulting from human activities.

Near real-time system, producing maps every 16 days.

First continental scale tool in operation and the first to work outside of the Brazilian Amazon.
Minimum change area detected:
~6.25 ha or ~8 football fields
Temporal coverage: from 2004 to current date
TRI-FRONTIER:
BRAZIL-PERU-BOLIVIA
For every 16 day period Terra-i tracks the areas of rapid forest cover change
2004
Loss
detections
Results
Latin America
Case study:
Peruvian artisanal mining
Detection around
Mining zone in Madre de Dios, Peru
Continually
Terra -
Exploring

The Case of the Amazon Basin
Using Terra-i data and independent
datasets to create future scenarios of where
land-use changes are likely to happen
Terra-i has been used within the
WaterWorld
and
Co$ting Nature
Policy Support Systems to understand the impact of recent land cover change on hydrology and the production and delivery of ecosystem services.

Further info:
http://geodata.policysupport.org/home
Co$ting Nature
WaterWorld
- Ongoing support and project promotion on social networks -
www.terra-i.org
- Explore, visualize and download Terra-i data-
http://www.terra-i.org/terra-i/data/data-statistics.html
Visualization tool
terra.i.ciat@gmail.com
Contact us:
Normalized difference vegetation index (NDVI) represents the amount and vigor of vegetation.
Vegetation Index (MOD13Q1 MODIS Product , 16 days, 250m)
Input data
This process gives us greater automatization abilities, synchronizing from the download to post-processing stages of MODIS data
MODIS tile level analysis
TRMM is led by NASA and the Japan Aerospace Exploration Agency (JAXA). It monitors and studies tropical and subtropical rainfall.
Precipitation Data of the Tropical Rainfall Measuring Mission (3hours, 28km)
Methodology overview
Research methodology overview
The methodology can be split into two main steps:

Bayesian-probability based neural network (BNN) learns how the greenness of a given pixel responds to a unit of rainfall


Calibrated model is run to identify fluctuations in greenness that cannot be explained by rainfall or by previous state of the vegetation
The detection step (using data from 2004 to present)
The training step (using data from 2000 to 2004)
Change detection
The Software & Terra-i Human Force
/terra.i.org
/Terraiproject
/terra-i/DdGV
/terrai_ciat
An eye on habitat change...
CASE STUDY:
Paraguayan Chaco
For further info: http://bit.ly/11r1qkH
For further info: http://bit.ly/10nf7ao
An Inconvenient Truth?
Alejandro Coca
Research Assistant
International Center of Tropical Agriculture
"A moon-shaped arc, from Bolivia to Colombia and east to French Guiana, is facing its most serious threat in the Amazon" Timothy Killeen, WWF - http://wapo.st/OwdKfE
Participation in other conservation initiatives
?
Input data
TRMM
Cleaned
NDVI
If there is a significantly large difference between the values ​​predicted by the model NDVI and NDVI values ​​captured by the satellite, then this difference is reported as


Most of the process is automatic

A large quantity of data is being processed

Each MODIS image is about 220 MB

Every 16 days, 34 MODIS images are processed...
2012
&
JAVA - The main language
Deforestation patterns:
Road Improvement Impact Assessments
Future Scenarios:
Terra-i usability:
Integration with other Policy Support Systems
Thanks
Case study:
Guatemala-Belize Frontier
For further info: http://bit.ly/11r1qkH
anomaly
available data online
- Maintaining continually
Future
Prospects

update
- Extending monitoring to the
- Ensuring the tool’s sustainability through
- Self-monitoring by
freely
and
lower-income countries
whole of the tropics
community-based analysis
of results
images are processed
34 MODIS
Anomaly
No
Road
Road + without
potential
mining
Road + with
potential
mining
improving
our system
by
developing methodologies
for analyzing the information generated...
Full transcript