Assessing Reef Health Using a Low Altitude Sensing Platform

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Assessing reef health using a low- altitude remote sensing platform Joshua Levy UH Biology 10/15/15

Transcript of Assessing Reef Health Using a Low Altitude Sensing Platform

Page 1: Assessing Reef Health Using a Low Altitude Sensing Platform

Assessing reef health using a low-altitude remote

sensing platform

Joshua LevyUH Biology10/15/15

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Coral Reefs

• Biodiversity hotspots• Economically important: Fisheries, tourism,

coastal protection, ecosystem services– Global

• $29.8 billion/year (Cesar et al .2003)

– Hawaii• $360 million/year (Cesar et al. 2002)

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The Problem

• Coral reefs are in global decline– 27% already substantially

degraded– Loss of additional 31% by

2030 (Wilkinson, 2000)

• 3rd global coral bleaching event – “Bleachapalooza”

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NOAA CRCP

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Causes of Coral Bleaching

– High temperature• Thermal anomalies

– El Niño– PDO– Anthropogenic climate change…?

– Coastal runoff• Sedimentation• Freshwater • Nutrients

Clark Little

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Effects of coral bleaching• Reduced reef resilience • Ecosystem resilience

“The capacity of an ecosystem to absorb disturbances or shocks, and adapt to change while retaining function and structure”. McClanahan et al. 2012

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Reduced resilience

Jen Smith

Phase Shifts

Reduced recovery

Disease

Competition

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Hawaiian Reefs

• 85% of US coral reefs• Huge economic

importance• Decrease in reef

resilience after bleaching could impact Hawaiian economy

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Hawaii coral bleaching events• 2014

– First recorded mass bleaching event on Hawaiian Islands

– Extensive bleaching in MHI’s, NWHI’s• Moderate-high recovery • Lisianksi mortality

– 1.5 miles

• 2015– Recorded throughout MHI’s,

NWHI’s• Kahe (first recorded bleaching)• Kaneohe Bay*• 22 other Oahu sites

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How can corals recover?

• “Normal” SST• Good water quality• High herbivore biomass

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How can we help corals recover?

• Good water quality– Reduce pollutants/ coastal

runoff• High herbivore biomass– Reduce fishing

Protect affected areas– Where are they?

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Reef Survey Methodologies

• Small scale– In situ (cm-mm)• Snorkel/scuba

• Large scale (km-m)– High Altitude

Remote Sensing• Satellite /Airplane

• Incomplete spatial assessments

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Goals• Develop cheap, fast,

spatially accurate, survey technique – High resolution data– Entire large reef area

(16,000m2)– Coral species – Coral bleaching– Coral health at various

spatial scales

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UAV’s• Unmanned Aerial Vehicles – Cheap (~$2000)– Portable (4kg)– Low altitude flight (1-400m)• Large resolution range (m-mm’s)

– 15-20min flights– Programmable autonomy

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Study Site: Kaneohe Bay • 50+ patch reefs

• History of pollutants/coastal runoff– Cultivation and

agriculture– Stream modification – Dredging– Sewage outfalls

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Bleaching in KBay

• 2014– Extensive bleaching– Reports of high recovery

• 2015– Bleaching extent?– Recovery?– Management?

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Low Altitude Aerial Surveys

• Ground station• Datalink package• iPad mini• External battery

• DJI P2• H3-3D Gimbal• GoPro 3

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Raw Results

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Post Processing

• Orthomosaics– Agisoft Photoscan

~1500m2

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Structure from Motion

• Estimate 3-D structures from multiple overlapping 2-D image sequences– Identify POI’s using SIFT

• Edges, gradients• Insensitive to varying

orientation/ illumination• # depends on image

quality, resolution, heterogeneity of scene

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Post Processing

• Image Classification– Texture + color models – Distinguish • Coral species• Coral vs. sand vs. algae

• Quantify color change • Spatial analysis using ArcGIS

• Geo-reference • Spatial measurements

Caras & Karnieli. Ground-Level Classification of a Coral Reef Using a Hyperspectral Camera. Remote Sens. 7, 7521–7544 (2015).

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Workflow

Data collection

Image corrections/Ort

homosaic

Classification

Spatial analysis

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Predicted Outcomes

• K-Bay patch reef atlas– Highlight severe

bleaching– Monitor recovery

• Inform Kaneohe Bay reef management groups

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Management tool

• Long term monitoring of reef condition– Predict mortality events

• Locate and better manage reefs impacted by local anthropogenic stress

• Increase reef resilience to coral stressors

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Future Projects

• Expand to other shallow water coastal habitats

• Automated workflow – Cloud processing– Machine-learning image

classification models• Neural network

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Citizen science

• Affordable, user-friendly, low altitude remote sensing package for coastal communities– Hawaii• Coastal communities

depend on healthy reefs• Near real-time reef

assessment• Local (self) enforcement of

dynamic, situational management policies

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Scientific advancement

• Citizen science data collection– Generates large quantity of accurate,

unbiased data from various locations – Global reef database – Various temporal and spatial scales

Increase overall understanding of coastal reef system dynamics

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Acknowledgments C. Hunter, UHM BiologyE. Hochberg, BIOSE. Franklin, UHM/HIMBR. Bidigare, UHM SOESTR. O’Connor, NOAA/UHM WRRCDARUH MOPNOAA #NA10NM4520163