SIBELI Mongolian Data Cube

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Mongolian DATACUBE
Improving the resilience of Mongolian herding communities using
satellite Earth Observation
Хиймэл дагуулын мэдээллийг ашиглан монгол малчин, ард
иргэдийн амьдрах чадварыг сайжруулах
Elbegjargal, Odbayar, Turbat
Nick, Jack, Filippo, Dominic
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https://mongolia.sibelius-datacube.org/

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SIBELIUs overview
The SIBELIUs project began in 2018 and is
supported by the UK Space Agency
The aim of the SIBELIUs project is to work in
partnership with Mongolian institutions to
help build greater resilience for herding
communities using satellite earth observation
https://www.spacefordevelopment.org/

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2.4m X-/L-band tracking antenna
EOS Terra & Aqua ingest, NOAA &
MetOp ingest & processing, 2x MODIS
processing and Suomi-NPP ingest &
processing systems
Upgrades:
• In 2018/19:
• New L-band receiver
• JPSS-1 ingest & processing
software
• Upgraded level 1B & 2 software
• Migration to 64-bit OS
• In 2019/20:
• New X-band ingest system
• New X-band processing system
• New L-band ingest & processing
system
• In 2019/20 or 2020/21:
• New antenna control cabinet
• Migration to Ethernet control
• New servo motors & gearboxes
• New servo & RF cables
NAMEM main building in Ulaanbaatar
(antenna in (heated) radome top-centre)
Ulaanbaatar from Zaisan Monument (in 2007)
working in Mongolia since 2007
Over ¼ of the 50 years of Remote Sensing in Mongolia

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SIBELIUs: Routes to Impact
1. Insurance
3. Direct
2 Government
Coordination
Herding
Communities
NAME
M
UK
World Food Programme (WFP)
NEMA
Defined three Impact Metrics relating to SDG
1.5: “Build the resilience of the Mongolian
herders, and reduce their exposure and
vulnerability to climate-related extreme
events and other economic, social and
environmental shocks and disaster”.

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Thank you
Working with UK team
and IRIMHE team

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Working with
IRIMHE/NAMEM

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The Mongolian Data Cube

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The Mongolian Data Cube
The Mongolian Data Cube is at the heart of the SIBELIUs
processing system
The Mongolian Data Cube is an efficient way of storing large
volumes of data so that it can be accessed easily by users
Open Data Cubes were originally pioneered by Digital Earth
Australia in 2013, with the Australian Data Cube.
Recent years have seen several Data Cubes deployed in many
countries worldwide

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Satellite data
Landsat 8,
5 years
Sentinel 2,
6 years
Terra, Aqua/ MODIS
13 years
Soumi-NPP VIIRS
(10 years)

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The Mongolian Data Cube –
Imagery & Products
• The Mongolian Data Cube contains surface
reflectance imagery from Sentinel-2, Landsat 8,
MODIS & VIIRS
• Month long and 10 day indices (NDVI, NDSI, NDWI
& NDDI) are also produced within the Data Cube
• Using these indices, final products are being
generated:
• Pasture biomass
• Pasture anomaly
• Pasture trend
• Snow coverage/persistence
• Plus NAMEM are now creating their own
products
Example NDDI Product (data from Sentinel-2 &
Landsat 8)

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Operational services
 Datacube has its operational activities like acquisition of satellite data
from MODIS-TERRA/AQUA, NPP, NOAA, Metop, processing satellite
data to products, data sharing to the users, etc.
- Wildfire: Steppe fire and Forest /MODIS/
- Snow cover /MODIS/
- Vegetation /MODIS/
- Biomass
- Dust /MODIS/
- Aerosol /MODIS/
- Land surface temperature /MODIS/
- Drought /MODIS/
- Cloud /FY2D/
- Cloud and Wildfire /Suomi-NPP/

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Access to DataCube
https://en.wikipedia.org/wiki/Pr
oject_Jupyter
https://www.mongolia.sibelius-
datacube.org:8000/

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10 day composite
image
 Datacube
 Numpy as np
 dcUtilsDataset
 Xarray as xr
 Geopandas as gpd
 Matplotib.pyplot as plt
 rasterstats

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Products
dc.list_product
dc.list_product().loc[23, ‘description’]

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Date, query

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Print: Data Dimensions

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Map creating

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Time series analysis

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Access to Mongolian DataCube
• Вэб Зураглалын Үйлчилгээ (Web Mapping Service-WMS)
• Вэб Хамрах Үйлчилгээ (Web Coverage Service-WCS)
• ArcGIS
• QGIS

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QGIS, Mongolian
DataCube

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The Visualisation Website

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Pasture Anomaly Product
(data from Sentinel-2 & Landsat 8)
Snow Product
(data from Sentinel-2 & Landsat 8)
The Mongolian Data Cube – Imagery &
Products (tailored for herders)
Currently being distributed via Facebook in the SIBELIUs test sites

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Regional “Greenness”
Charts
Clear up-to-date information about
local pasture conditions

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The Mongolian Data Cube – Visualisation
(Government Stakeholders)
• Products from the Data
Cube use the in-built web
services (datacube-ows)
for dissemination
• Currently building a web
app using Leaflet &
node.js to allow users in
Mongolian institutions to
view and manipulate
Data Cube products
• Investigations are
underway to ensure that
these systems are not too
data heavy
Current test visualization from datacube built with
OpenLayers
(data from Sentinel-2 & Landsat 8)

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Applications of Earth Observation
for Mongolia
• We will mostly be talking about monitoring:
 Pasture
 Snow
 Drought
• But, important to note there are many other Mongolian applications:
 A simple Earth Observation example
 Monitoring agriculture
 Monitoring mining
 Monitoring city development
 Air pollution

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This photograph was taken from
Batbuyan Batjav’s drone in the
Kherlenbayan Ulaan bag in the
Delgerkhaan soum in the Khentii
aimag and shows a small
settlement consisting of two gers
and associated shelters
Drone photograph
Date taken: 17/10/2018
Lat: 44.3430
Lon: 56.5039
Altitude: 1,214 metres
Question: can we see these
structures using satellite data?
A very Mongolian Earth Observation question

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Question: Can we see these structures using satellite data?
Answer: Yes we can.
17/10/2018, Lat: 45.6528, Lon: 48.5884, Altitude: 1,410.85m
Acquired: 17/10/2018, 03:47:29 UTC
Batbuyan Batjav’s drone photograph
1,214 metres
Sentinel-2 satellite RGB composite image
786 km
• The 2 white dots are the
gers
• The darker regions are the
shelters and their
surrounding areas
• The drone position is
indicated by the yellow pin

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Drone photograph
Gers
Shelters
Zooming in we can see there is a correspondence between the gers and shelters in the drone and satellite image

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Thank you!
n.elbegjargal@gmail.com