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Validating maps of land cover and land degradation with citizen science and

mobile gaming

Inian Moorthy, Neha Joshi, M Thoha Zulkarnain, Andree Ekadinata, Tobias Sturn, Fathir Mohamad, Bunga Goib, Ping Yowargana, Olha Danylo, Hadi, Ian McCallum,

Florian Kraxner, Linda See, Steffen Fritz

International Institute for Applied Systems Analysis

(2)

Improve earth observation-based land cover and land degradation maps with context-specific data streams using

crowdsourcing

Why Crowdsourcing?

Low-cost solutions

Up-to-date information

Geographical scope/coverage Environmental stewardship

Motivation

(3)

Degradation Mapping:

South Sumatra & East Kalimantan

HV 2016-2017 HV 2010-2009

HV 2016-2017 HV 2010-2009

Assess disturbances in the land cover and

other biophysical disturbances using

ALOS PALSAR imagery from 2010 to 2017 and Sentinel-1 imagery

from 2015-2019.

(4)

Degradation Mapping:

South Sumatra & East Kalimantan

2010 – 2015: 68,000 sites 2015 – 2018: 43,000 sites

SOUTH SUMATRA

2010 – 2015: 47,000 sites 2015 – 2018: 45,000 sites

EAST KALIMANTAN

(5)

Degradation Mapping:

South Sumatra & East Kalimantan

Primary and secondary forests affected by fires

2009 2012 2013 2016

(6)

Degradation Mapping:

South Sumatra & East Kalimantan

Secondary forests cleared and burned for agriculture

2009 2010 2011 2013 2016

(7)

What are the gaps?

Different types of degradation Variable biophysical conditions Complex land histories

How can crowdsourcing help?

(8)

Earth Observation + Crowdsourcing

Land cover analysis

Crowd-driven classifications of high-resolution satellite

imagery through rapid binary sorting

In-situ validation

Field verification based on EO-based change detected

with unknown causes of change

Restoration preferences

Survey of local, community- based preferences of restoration measures

South Sumatra & East Kalimantan:

April-August & Sept-Nov

National campaign:

Oct/Nov

South Sumatra & East Kalimantan:

Nov/Dec National campaign:

Q1 2020

1 2 3

(9)

Mobile and web-based platform

Urundata Mobile Application Urundata Website

https://urundata.id

(10)

1 Land Cover Analysis

Focus: Onboarding & Engagement Target Groups: Universities

Various piles of high- resolution imagery Rapid assessment Yes / No sorting

Expert inputs for QA Leaderboards

(11)

1 Land Cover Analysis

Focus: Onboarding & Engagement Target Groups: Universities

9

Local news outlets

14

Universities

1,123

subscribers

676

active users

1.74 million

data contributions

(12)

2 Crowdsourcing in-situ validation

Focus: On-site validation of target locations

Target Groups: University students, Researchers, Field officers, NGO workers

VEGETATION STRUCTURE SPECIES COMPOSITION

DOMINANT VEGETATION HEIGHT FAUNA

EVIDENCE OF DEFORESTATION

ESTIMATED YEAR/DATE OF DEGRADATION LAND COVER HISTORY

DEGRADED (YES/NO)

(13)

3 Restoration Preferences

Focus: Local & community-driven restoration potential

Target Groups: University students, Researchers, Field officers, NGO workers

LOCAL-LEVEL CONSULTATION WITH COMMUNITIES

ADDRESSING SPECIFIC DEGRADATION CHALLENGES

CHOOSING FROM SPECIFIC RESTORATION OPTIONS

LEVERAGING MOBILE TECHNOLOGY AND URUNDATA COMMUNITY

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Validating maps of land cover and land degradation with citizen science and

mobile gaming

Inian Moorthy, Neha Joshi, M Thoha Zulkarnain, Andree Ekadinata, Tobias Sturn, Fathir Mohamad, Bunga Goib, Ping Yowargana, Olha Danylo, Hadi, Ian McCallum,

Florian Kraxner, Linda See, Steffen Fritz

International Institute for Applied Systems Analysis

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