Restoring the Dove New technologies for catchment management: Using - - PowerPoint PPT Presentation

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Sep 08, 2022 182 likes •398 views

Restoring the Dove New technologies for catchment management: Using satellite imagery to map soil erosion risk Miriam Westbrook (Atkins) Alastair Graham (Geoger Ltd) Project team: Dr. David Gasca-Tucker, Miriam Westbrook, Elena Palao, Bethany

SLIDE 1

Restoring the Dove

New technologies for catchment management: Using satellite imagery to map soil erosion risk

Miriam Westbrook (Atkins) Alastair Graham (Geoger Ltd)

14 July 2017 1

Project team: Dr. David Gasca-Tucker, Miriam Westbrook, Elena Palao, Bethany Hancock, Alastair Graham (Geoger Ltd.)

With thanks to The Rivers Trust, Trent Rivers Trust and The National Farmers Union

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Outline

1. Background to the project
2. Using satellite imagery and other

catchment data

3. Developing new ways of working
4. Limitations
5. Future applications

14 July 2017

SLIDE 3

Background

26/27 waterbodies failing to achieve Good overall status according to the Water Framework Directive Sediment runoff issues from accelerated bank erosion. Action has been focused in the northeast of the catchment.

Limestone river along the border of Derbyshire and Staffordshire. Northeast part of the catchment is a National Park, Site of Special Scientific Interest and Special Conservation Area.

Photo credit: newlancswalker.wordpress.com/

14 July 2017

SLIDE 4

Background

North

Steep slopes
Small hill farmers
Mainly sheep farming
Farmer engagement

constraints (e.g. mobile/internet signal) South

Flatter slopes
Large agricultural enterprises
Mainly arable crops

SLIDE 5

Project partners

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SLIDE 6

How can Sentinel data help improve targeting of catchment management measures?

Challenge:

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SLIDE 7

Data sources

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EU Copernicus Sentinel-2
SCIMAP
Environment Agency
Corine Land Cover
Forestry Commission
Natural England
DEFRA
Ordnance Survey
All free and open source!

SLIDE 8

Making data visible

ESRI StoryMap

Interactive web-based portal to

share information.

Allows users to compare layers
f data.
Organise data into thematic

tabs.

Using text, images and charts

alongside mapped data.

Stakeholder engagement tool

(dependent on internet access).

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SLIDE 9

Making data visible

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SCIMAP Connectivity Floodplain Slope

SLIDE 10

Sentinel-2 data

Discovering soil erosion risk at field scale

Sentinel-2 bands 2,3,4,8 downloaded and stacked DOS atmospheric correction applied NDVI calculated Simple unsupervised classification

(roughly corresponded to cloud, vegetation, bare soil, water, built environment)

Digitised bare field locations for final product

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SLIDE 11

Sentinel-2 data

Discovering soil erosion risk at field scale

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20th April 2016

Quarries Peat Bare fields

SLIDE 12

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Investigating new ways of combining datasets

How does the physical nature of the catchment influence soil erosion risk? a) Field slopes b) Soil type c) Proximity to watercourse d) Connectivity to main river receptor Risk mapping assesses erosion risk for every field in the catchment.

SLIDE 13

Exploring new ways of working with our partners

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A one day “data hack” with scientists from Atkins and the Environment Agency at Atkins Oxford’s new Digital Design Hub. Working alongside the client to unlock the value in the data and make a difference on the ground.

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Developing new workflows

Spatial

How does the physical nature of the catchment influence soil erosion risk?

Field slopes
Soil type
Proximity to

watercourse

Connectivity to

main river receptor

Temporal

Where does climate fit into all of this?

What are the

high risk times for soil erosion? 95% of the sediment load in a river will typically move in 5% of the time, in response to rainstorm

events. These

are typically during the autumn months.

Anthropogenic

How does land management influence soil erosion risk?

Are any parts
f the

catchment at risk (uncovered / bare) during time of high rainfall?

Response

What mitigation actions could we take?

Control at source

(cover crops or no till approaches to limit the time soil is bare)

Intercept

sediment before it gets into the river (buffer strips, wetlands)

Enhance natural

river processes to ensure the river self-cleanses (river restoration)

SLIDE 15

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Limitations & future developments

Limitations Spatial resolution Cloud Data volumes Data handling Time constraints Possible future developments (Semi)-automated methods Use of ARD / IntProd Inclusion of Sentinel-1 ARD

SLIDE 16

Looking forward:

What are the potential applications of Sentinel data?

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SLIDE 17

Natural Flood Management visualisation in Evenlode catchment

11/07/17 17

Combining satellite imagery with topography, connectivity and floodplain data.

SLIDE 18

Habitat mapping in extreme environments

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Goronyo, Nigeria

Natural vegetation Goronyo dam Irrigated crops

SLIDE 19

Conclusions

Sentinel satellite data has the potential to refine the

way catchment management is carried out.

The workflow could be applied to other diffuse

pollution pressures (e.g. nutrients, pesticides).

Adding a temporal aspect to the suite of catchment

data can help us pinpoint the areas of greatest risk at highest risk times.

Working closely with our clients and stakeholders is

essential to make sure we unlock the full potential of this data.

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SLIDE 20

Thank you

miriam.westbrook@atkinsglobal.com a.graham@geoger.co.uk

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