Development of a reference data base and validation concept for RS-based forest cover change product...
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Development of a reference data base and validation concept for RS-based forest cover change products in Fiji.

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Contents

Development of a reference data base and validation concept for RS-based forest cover change products in Fiji

Johannes Eberenz1, Johannes Reiche1, Samuela Lagataki², Akosita Lewai², Wolf Forstreuter³1) Wageningen University, The Netherlands; 2) Fiji Forestry Department (FFD); 3) SOPAC, South Pacific Counsel, Fiji


Contents

Contents

  • Introduction

  • Forest cover change data

  • Methodology

    3.1 Database design

    3.2 Validation of RS-based products

  • Preliminary results

  • Discussion


1 introduction context

1 Introduction: Context

  • Study Program:

    • Final year of MSc. Geo-Information Science, Wageningen University, The Netherlands

    • 2012 – 2014

    • Focus on RS

  • Internship exchange:

    • Internship at Fiji Forestry Department

    • October 2013 – March 2014

    • Supervised by Johannes Reiche

    • Funded by GIZ


1 introduction motivation

1 Introduction: Motivation


1 introduction motivation1

1 Introduction: Motivation


1 introduction motivation and goal

1 Introduction: Motivation and Goal

Final Product:

Databasethat provides the framework to harmonize different reference datasets to assess forest change

Validation concept to use this DB for assessing RS-derived changes (bi-temporal, yearly changes)

  • Reference data is crucial

  • For Fiji, different reference datasets are availbale

  • Problems:

    • Different formats

    • No common interface

    • Unknown quality


1 introduction concept of a reference database

1 Introduction: Concept of a Reference Database

Harvest & Planting maps

Reference Database

Quality checks

Digitized VHR

Validation of RS-products

IntegrationHarmonizing

Existing databases

RS-based change products


2 data different change data sources

2 Data: Different Change data sources

Logging, harvest and reforestation datasets

  • Selective logging of indigenous forests (FFD)

  • National forest inventory (FFD)

  • Harvest and replantation (Fiji Pine Ltd., Fiji Hardwood Ltd.)

  • Change areas derived from multi-temporal very high resolution (VHR) datasets (e.g. WorldView)

  • All datasets require quality control for spatial and information consistency


2 data example vhr images

2 Data: Example VHR images

KOMPSAR example (Detail)

2008-09-03

2011-12-15

Panchromatic (1m)

Multispectral (4m)


3 1 methods database design

3.1 Methods: Database design

Views

Change

ChangeArea

Study Area

Land Use

ChangeType


3 1 methods data integration

3.1 Methods: Data Integration

Digitized VHR

Harvest & Planting maps

  • Check input data quality of test areas (comparison to RS-products, jointly with FFD)

  • Develop a workflow for different data sources, vector and raster data

  • Demo implementation with selected datasets

Quality checks

IntegrationHarmonizing

Reference Database


3 2 methods validation concept

3.2 Methods: Validation concept

  • Traditional methods:

    • Confusion matrix

    • Accuracy measures: Overall accuracy, Kappa, producers & users accuracy per class

  • Advanced methods:

    • Stratified estimation

    • Latent class analysis

Reference Database

Validation of RS-products

RS-based change products


3 2 methods example confusion matrix

3.2 Methods: Example Confusion Matrix


3 1 methods demo implementation

3.1 Methods: Demo Implementation

  • Simple Schema (Single Table)

  • Use available spatial data infrastructure:

    • SOPAC GeoNode

    • Local solution at forestry department

  • Stepwise integration of available data

    • Different data sources

    • Vector and raster data

  • Demonstrate use:

    • Demo validations

    • Workshop

SOPAC


4 prelimary results demo validation

4 Prelimary Results: Demo Validation


4 prelimary results demo validation1

4 Prelimary Results: Demo Validation

Reference data:Logging year form Fiji-Pine

RS-based forest cover change product:Change year from Landsat time series


5 discussion

5 Discussion

  • Final Product:

    • Database that provides the framework to harmonize different reference datasets to assess forest change

    • Validation concept to use this DB for assessing RS-derived changes (bi-temporal, yearly changes)

  • Challenges:

    • Different data quality

    • Validation of selective logging

    • ...?


Vinaka

Vinaka!

Contact:

[email protected]


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