International Partnership Space Programme Earth Observation for the Preservation of Ecological Bacalar Corridor Platform and Products ERIS workshop – Chetumal, 1 December 2015 Terri Freemantle, Raffaella Guida, Paula Marti, Pasquale Iervolino and Steve Spittle
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International Partnership Space Programme
Earth Observation for the Preservation
of Ecological Bacalar Corridor
Platform and Products
ERIS workshop – Chetumal, 1 December 2015
Terri Freemantle, Raffaella Guida, Paula Marti,
Pasquale Iervolino and Steve Spittle
Collection of end-users requirements
An end-user driven Process
Definition of
products
Definition of
platform functionalities
The Platform
Climate and Environmental Monitoring
from Space (CEMS) Cloud Computing Environment
To provide access to a wide range of climate, Earth Observation (EO) and non-
EO data alongside various processing and analytical tools
3 Main Functions:
• Community
Cloud
• High
Performance
Computing
• Data Sharing
CEMS
Architecture
The total combined resource:
• 340+ CPU cores (>1400 Ghz)
• 6TB of RAM
• 1.3PB of attached storage
• Scalable and secure
infrastructure
• Configurable virtual machines
within privately managed
virtual data centres
• Hosting applications, public
facing web portals and
development environments.
• High Performance Computing
for CPU intensive processing
jobs, such as archiving satellite
mission data.
Access to Data
CEMS
Satellite Data and Resources
Catalogue of free spatial and non-spatial data – EO database – 10Gb connection
CEMS
Sentinel Data Access Service
UK Collaborative Ground Segment – holds rolling archive of Sentinel data
IPSP Bacalar Monitoring Platform
Overview 1
• Provide ease of use within the browser
• Maximise visual aspects of the data whilst maintaining data integrity and rendering time
• Include authentication system to limit access to specified users
• Provide free and open source Spatial Data Infrastructure
IPSP Bacalar Monitoring Platform
Overview 2
• Map based interface
• On the fly image processing using CEMS CPU
• GIS functionality including data querying, creation of shapefiles etc.
• Direct access to database, allowing upload and download of datasets
18/01/2016
1. Future Cities
Potential further developments
for the IPSP Bacalar Monitoring Platform
18/01/2016
Working With Local Authorities: Urban Development
18/01/2016
• Not yet implemented in the beta version of the Bacalar Platform
• Platform will be able to clearly visualise change between two satellite images
The Products
Priorities
Human activities - Land cover change between 2005 and 2015
- Urban growth map between 2005 and 2015
Water Quality -Water quality maps of Chetumal Bay
-Bathymetry map of Chetumal Bay
Mangrove Ecosystem -Mangrove Distribution Map
-Flooding extent in coastal mangroves
-Mangrove degradation map post Hurricane
Dean
Satellite Derived Bathymetry
RapidEye (5m) - 2015 RapidEye (5m) - 2010
Relative Water Depth created using bottom albedo-independent
Bathymetry algorithm
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
Satellite Derived Bathymetry
Landsat 8 – 30m
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
• Catapult Overview • Earth Observation Products for IPSP Bacalar Project
• Bathymetry • Mapping mangrove distribution and
degradation • Water Quality
• Platforms • CEMS Infrastructure • Bacalar Monitoring Platform • Example of Urban change detection platform
Mapping mangrove distribution and degradation
Terri, are you going to add something here?
- We do not currently have any products, I can
add an example or leave it blank?
Cornforth et al (2013) ‘Advanced Land Observing Satellite Phased Array Type L-Band SAR (ALOS
PALSAR) to Inform the Conservation of Mangroves: Sundarbans as a Case Study’
Water Quality in Laguna Bacalar and Chetumal Bay
RapidEye (5m) – 2010
Normalised Turbidity Index
Evapotranspiration Weekly water demand for fruit trees
o Local and global water demand for Arica (Chile) calculated from
evapotranspiration over several weeks
o The maps show the water demand dropped from week 1 to week 9 and this
was due to a drop in the temperatures
week1 week4
week7 week9
Land Use
CropID – A map of UK vegetable crops
Start with satellite imagery and field
boundaries
Apply software algorithms using a machine learning
approach
The result is the most probable crop in each
field
Land Cover Corredor Transversal Costero, Chetumal
Start with satellite imagery
Rough classification Further processing
reveals the differences on the land cover
RapidEye 2010 True colour image
Unsupervised classification Ground data will help analysis
- Detection of recent
deforestation areas in
Rondonia (Brazil)
- Comparison of DEIMOS-
1 2010 data with Google
Earth database.
Change Detection Deforestation areas in Brazil
Burned
Unburned
Step 1: Multi-temporal analysis (false color)
Step 2: Perimeter identification
Step 3: Analysis
Perimeter: 71.4 km Area: 1,960,912 acres
Perimeter: 9.7 km Area: 138,873 acres
Forestry Analysis of impact after a fire
SAR in change detection Sentinel-1 datasets
13 Dec 2014 06 May 2015
Parameter Value
Sensor Sentinel-1
Mode IWS
Polarization VV
Product GRD
Spatial Resolution 10 x 10 m
Spatial Resolution 10 x 10 m
13 Dec 2014
SAR in change detection Sentinel-1 datasets
06 May 2015
SAR in change detection TerraSAR-X datasets
11 Feb 2011
Parameter Value
Sensor TerraSAR-X
Mode Spotlight
Polarization HH
Product SLC
Spatial Resolution 0.9 x 0.5 m
Oil10 HH
Crude oil
Diesel oil
Look-alikes
S-band X-band
Fused image (Db1_1max)
Surface Water Quality with SAR
Multispectral
Panchromatic SAR
LiDAR
Temporal gap among acquisitions (can we use datasets acquired at different times?)
Spatial gap among datasets
(can we use datasets presenting different resolution and coverage?)
Information diversity among datasets (how to put together information from
Radar Cross Section and Reflectivity curves?)
Land cover mapping with Data Fusion
Sea
Bare soil
Sand
Pools
Lake
Shrubs
Trees
Sea green
Grass
Buildings
Roads
Shadows or not classified
Buildings
Roads
Shadows or not classified
Sea
Bare soil
Sand
Pools
Shrubs
Trees
Grass
SAR+Multispectral+Panchromatic
SAR+LiDAR
Overall accuracy: 85.53% (78.74% Multispectral only, 83.20% Multi+Pan)
Overall accuracy: 85.16% (71.09% LiDAR only)
Land cover mapping with Data Fusion
Gracias!
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