SlideShare a Scribd company logo
BRAMANTIYO MARJUKI
Mapping Water Features From
Synthetic Aperture Radar
Data
REMOTE SENSING
SAR PRINCIPLES
Common Things About SAR
MAPPING WATER FEATURES
Prequisities
Download Data From ASF Vertex
Image Processing Workflow
Water Body Extraction
DISCUSSION
Remote Sensing for OSM Project
COMMON THINGS SAR DATA
Image by : ESA
PASSIVE AND ACTIVE REMOTE SENSING
COMMON THINGS SAR DATA
Image by : ESA MICROWAVE SPECTRUM USED
COMMON THINGS SAR DATA
Image by : ESA SAR Satellite and Sensor Timeline
https://vertex.daac.asf.alaska.edu
https://earthexplorer.usgs.gov
https://www.gportal.jaxa.jp/gp/top.html
https://scihub.copernicus.eu/
COMMON THINGS SAR DATA
Image by : ESA
COMMON THINGS SAR DATA
Image by : ESA
Specular Reflection Surface Reflection
COMMON THINGS SAR DATA
Image by : ESA
Double/Multiple Bounce Volume Scattering
COMMON THINGS SAR DATA
Image by : ESA
Foreshortening
Lay Over
Shadow
Radar Geometric Errors
COMMON THINGS SAR DATA
Image by : ESA
Specular
Reflection
AzimuthScanning
alongSatelliteOrbit
Range Scanning along
Satellite Swath
Foreshortening
Layover
Shadow
Surface
Reflection
COMMON THINGS SAR DATA
Image by : ESA
Double Bounce
Volume
Scattering
MAPPING WATER SAR DATA
QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer)
Prequisities
MAPPING WATER SAR DATA
QGIS (advanced Install using OSGEO4W installer)
MAPPING WATER SAR DATA
Orfeo Toolbox (advanced Install using OSGEO4W installer)
MAPPING WATER SAR DATA
QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer)
MAPPING WATER SAR DATA
QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer)
MAPPING WATER SAR DATA
DATA
We going to use ALOS PALSAR Radiometrically Terrain Corrected
(RTC) data freely available to download from Alaska Satellite Facility
(VERTEX)
RTC Product designed to be GIS-ready, so user doesn’t need to
preprocess the raw data which usually takes time and needs deep
knowledge about SAR theories and SAR Processing sequences
MAPPING WATER SAR DATA
DATA https://vertex.daac.asf.alaska.edu/
MAPPING WATER SAR DATA
WORKFLOW (Two Ways of Mapping)
Import Data
Logaritmic Scale
Conversion
Speckle Filtering
Histogram
Thresholding
Feature
Extraction
Output A
Raster to
Vector
Output B
Remove Edge
Pixels Error
MAPPING WATER SAR DATA
1. Import Data
MAPPING WATER SAR DATA
2. Despeckle
Note that speckle filtering operation will cause improper
displayed (blank) image when it is not stretched. This effect
happens because speckle filtering leaves very negative pixel value
at the edge of the image, and we must fix it at the next step
MAPPING WATER SAR DATA
3. Remove Edge Pixels Error
(‘Layer Name’>-9999) * ’Layer Name’
MAPPING WATER SAR DATA
2. Despeckle
Pre speckle
Post speckle
MAPPING WATER SAR DATA
3. Log Conversion
10* log10 (Layer Name)
MAPPING WATER SAR DATA
4.A Feature Extraction
MagicWand Plugin Required
Download from
Manage and
Install Plugins
Menu
MAPPING WATER SAR DATA
4.A Feature Extraction
MagicWand Plugin Settings
Tolerance
Tolerance is used to understand if 2 blocks of
pixels have similar colors. Example: If the
user decides to extract a light green field
surrounded by dark green trees to a low
value of tolerance must be set. Conversely, if
a field that has different shades of yellow is
selected to be extracted all at once, the
tolerance must be set to a high value.
Approximation
determines how many pixels must be
merged in order to speed up the process. If
approximation is increased you will
immidiatly notice that the trasparent white
area that follows your cursor is increased. .
Timeout
If a task is taking more than the timeout value (by default 15 seconds), it will be interrupted.
MAPPING WATER SAR DATA
4.A Feature Extraction
MagicWand Plugin Settings
Set the Raster to multiband
Magicwand only working on
Multiband Color Render, so if you just
have single band raster, just set it up
into multiband, but just use same
band for every color pane (RGB just
use same band)
Layer Properties>Style>multiband
rendering
MAPPING WATER SAR DATA
4.A Feature Extraction
MagicWand Result
Result automatically saved
in polygon
post processing like polygon
smoothing still needed
Result can be saved directly
into Shapefile or other vector
data format supported in QGIS
MAPPING WATER SAR DATA
4.B Histogram Tresholding
Layer Properties >
Histogram
Histogram will have
bimodal pattern
two peak of frequency cumulative,
the lower peak usually related to
accumulation of water related pixel
values
MAPPING WATER SAR DATA
4.B Histogram Tresholding
By zooming into the
histogram, we could
identify the border value of
water and land
Which is -15,5
MAPPING WATER SAR DATA
4.B Histogram Tresholding
Return to STYLE Tab, change
the color render to
singleband pseudocolor,
interpolation to discrete,
mode to equal interval, and
make just two classes
Change the value of
first class to -15,5
MAPPING WATER SAR DATA
4.B Histogram Tresholding Result
MAPPING WATER SAR DATA
4.B Histogram Tresholding (make it Permanent)
‘Layer Name’ <= -15.5
MAPPING WATER SAR DATA
4.B Histogram Tresholding (raster to vector)
MAPPING WATER SAR DATA
4.B Histogram Tresholding
Result
Result automatically saved
in polygon
post processing like polygon
smoothing and cleaning also still
needed
Result can be saved directly
into Shapefile or other vector
data format supported in QGIS
Terima Kasih
I support throwing words game

More Related Content

PPT
Lecture for landsat
PPTX
Overview of hyperspectral remote sensing of impervious surfaces
PPTX
Digital Elevation Models
PDF
PDF
GIS in Public Health Research: Understanding Spatial Analysis and Interpretin...
PDF
Gis in telecomm ppt
PPSX
GNSS - GPS Surveying
PDF
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Lecture for landsat
Overview of hyperspectral remote sensing of impervious surfaces
Digital Elevation Models
GIS in Public Health Research: Understanding Spatial Analysis and Interpretin...
Gis in telecomm ppt
GNSS - GPS Surveying
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra

What's hot (20)

PPTX
Atmospheric correction albufera_web
PDF
Flood Detection Using ALOS-2 Images in SNAP
PPT
Satellite image processing
PPTX
Remote sensing
PPT
Image quality assessment and statistical evaluation
PPTX
Digital image processing
PDF
Digital image classification
PDF
Digital image processing
PPTX
Digital image processing
PPTX
GIS Geographical Information System
PPTX
Hyperspectral remote sensing of vegetation
PPTX
Object Based Image Analysis
PPT
Stereoscopic Vision
PPTX
QGIS Basic Training
PPTX
Thermal remote sensing
PPTX
Pre processing
PPTX
Introduction wireless communication network
PPTX
PPTX
DEM,DTM,DSM
Atmospheric correction albufera_web
Flood Detection Using ALOS-2 Images in SNAP
Satellite image processing
Remote sensing
Image quality assessment and statistical evaluation
Digital image processing
Digital image classification
Digital image processing
Digital image processing
GIS Geographical Information System
Hyperspectral remote sensing of vegetation
Object Based Image Analysis
Stereoscopic Vision
QGIS Basic Training
Thermal remote sensing
Pre processing
Introduction wireless communication network
DEM,DTM,DSM
Ad

Similar to Mapping Water features from SAR Imagery (20)

PDF
Sea-level rise and GIS
PPT
remote sensing data types, Optical scanners spectrometers and altimeters
PDF
Pydro & HydrOffice: Open Tools for Ocean Mappers
PPT
remote sensing data types for soil mapping.ppt
PDF
Landsat max-likelihood
PPT
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
PPTX
ALDRIGHI_LandUseMappingUsingCoarseResolutionSarDataAtTheObjectLevelExploiting...
PPT
NASA HSI Workshop at UCSB 08/05/2008
PPTX
Hyperspectral remote sensing for oil exploration
PPTX
Flood risk mapping using GIS and remote sensing and SAR
PDF
ERDAS_1.pdf
PDF
On the performance of filters for reduction of speckle noise in sar images of...
PDF
Map Making with QGIS - Part II
PPTX
Geographic information system and remote sensing
PPTX
Watershed Delineation in ArcGIS
PPTX
Earth observation for oil and gas
PPTX
Eonfusion Introduction
PPSX
Gissa 2013-6 10-Iuma Martinez
Sea-level rise and GIS
remote sensing data types, Optical scanners spectrometers and altimeters
Pydro & HydrOffice: Open Tools for Ocean Mappers
remote sensing data types for soil mapping.ppt
Landsat max-likelihood
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
ALDRIGHI_LandUseMappingUsingCoarseResolutionSarDataAtTheObjectLevelExploiting...
NASA HSI Workshop at UCSB 08/05/2008
Hyperspectral remote sensing for oil exploration
Flood risk mapping using GIS and remote sensing and SAR
ERDAS_1.pdf
On the performance of filters for reduction of speckle noise in sar images of...
Map Making with QGIS - Part II
Geographic information system and remote sensing
Watershed Delineation in ArcGIS
Earth observation for oil and gas
Eonfusion Introduction
Gissa 2013-6 10-Iuma Martinez
Ad

More from bramantiyo marjuki (20)

PPTX
Pemanfaatan Citra Satelit Medium Resolution Untuk Pemetaan Urban FootPrint
PPTX
How to choose SAR satellite imagery for a good interferometric processing
PPTX
Crowsource Mapping, Captures Neography Practices
PDF
PENERAPAN TEKNIK PEMETAAN PARTISIPATIF UNTUK MENDUKUNG PENYUSUNAN BASIS DATA...
DOCX
Pan Sharpening (Transkrip Kuliah Telegram) di Group Telegram GIS.ID
PDF
Ingin Belajar Penginderaan Jauh Bersama Saya ?
PDF
Final Report WWF Landcover and High Conservation Area Mapping, North Borneo 2017
PPTX
FGD Sosialisasi Analisis HCV - Landcover Mapping, WWF Indonesia Kalimantan Utara
PDF
Laporan KKL PPW 2016 MPWK UNDIP, BALI
PDF
Wonogiri Development, Reduce Disparity, Reduce Inequity (Final Report Plannin...
DOCX
Stakeholder Approach benefits in Organization Practices
DOCX
Jenang Cluster Local Development in Kudus District
PDF
Planning theory in Toll Road Provision in Indonesia
PDF
Planning theory in Waster Management
PDF
Implementation of Planning and development theories to Waster Management in K...
PDF
A translation paper about Cellular Automata,
PDF
Pembangunan dan Pengelolaan Infrastruktur Wilayah, an Fieldwork Report study ...
PDF
Perkembangan Infrastruktur Provinsi Jawa Tengah Selama 10 Tahun
PDF
Critical review insights debate about urban decline urban regeneration
PPTX
Pembiayaan Infrastruktur Transportasi di Kawasan Perkotaan Yogyakarta
Pemanfaatan Citra Satelit Medium Resolution Untuk Pemetaan Urban FootPrint
How to choose SAR satellite imagery for a good interferometric processing
Crowsource Mapping, Captures Neography Practices
PENERAPAN TEKNIK PEMETAAN PARTISIPATIF UNTUK MENDUKUNG PENYUSUNAN BASIS DATA...
Pan Sharpening (Transkrip Kuliah Telegram) di Group Telegram GIS.ID
Ingin Belajar Penginderaan Jauh Bersama Saya ?
Final Report WWF Landcover and High Conservation Area Mapping, North Borneo 2017
FGD Sosialisasi Analisis HCV - Landcover Mapping, WWF Indonesia Kalimantan Utara
Laporan KKL PPW 2016 MPWK UNDIP, BALI
Wonogiri Development, Reduce Disparity, Reduce Inequity (Final Report Plannin...
Stakeholder Approach benefits in Organization Practices
Jenang Cluster Local Development in Kudus District
Planning theory in Toll Road Provision in Indonesia
Planning theory in Waster Management
Implementation of Planning and development theories to Waster Management in K...
A translation paper about Cellular Automata,
Pembangunan dan Pengelolaan Infrastruktur Wilayah, an Fieldwork Report study ...
Perkembangan Infrastruktur Provinsi Jawa Tengah Selama 10 Tahun
Critical review insights debate about urban decline urban regeneration
Pembiayaan Infrastruktur Transportasi di Kawasan Perkotaan Yogyakarta

Recently uploaded (20)

PDF
Supply Chain Operations Speaking Notes -ICLT Program
PDF
Mark Klimek Lecture Notes_240423 revision books _173037.pdf
PDF
STATICS OF THE RIGID BODIES Hibbelers.pdf
PDF
Classroom Observation Tools for Teachers
PPTX
Microbial diseases, their pathogenesis and prophylaxis
PDF
TR - Agricultural Crops Production NC III.pdf
PDF
2.FourierTransform-ShortQuestionswithAnswers.pdf
PPTX
Week 4 Term 3 Study Techniques revisited.pptx
PPTX
Introduction to Child Health Nursing – Unit I | Child Health Nursing I | B.Sc...
PDF
Saundersa Comprehensive Review for the NCLEX-RN Examination.pdf
PDF
BÀI TẬP BỔ TRỢ 4 KỸ NĂNG TIẾNG ANH 9 GLOBAL SUCCESS - CẢ NĂM - BÁM SÁT FORM Đ...
PPTX
Pharmacology of Heart Failure /Pharmacotherapy of CHF
PPTX
BOWEL ELIMINATION FACTORS AFFECTING AND TYPES
PPTX
Cell Types and Its function , kingdom of life
PDF
Physiotherapy_for_Respiratory_and_Cardiac_Problems WEBBER.pdf
PPTX
Institutional Correction lecture only . . .
PPTX
Cell Structure & Organelles in detailed.
PPTX
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
PDF
Pre independence Education in Inndia.pdf
PDF
Microbial disease of the cardiovascular and lymphatic systems
Supply Chain Operations Speaking Notes -ICLT Program
Mark Klimek Lecture Notes_240423 revision books _173037.pdf
STATICS OF THE RIGID BODIES Hibbelers.pdf
Classroom Observation Tools for Teachers
Microbial diseases, their pathogenesis and prophylaxis
TR - Agricultural Crops Production NC III.pdf
2.FourierTransform-ShortQuestionswithAnswers.pdf
Week 4 Term 3 Study Techniques revisited.pptx
Introduction to Child Health Nursing – Unit I | Child Health Nursing I | B.Sc...
Saundersa Comprehensive Review for the NCLEX-RN Examination.pdf
BÀI TẬP BỔ TRỢ 4 KỸ NĂNG TIẾNG ANH 9 GLOBAL SUCCESS - CẢ NĂM - BÁM SÁT FORM Đ...
Pharmacology of Heart Failure /Pharmacotherapy of CHF
BOWEL ELIMINATION FACTORS AFFECTING AND TYPES
Cell Types and Its function , kingdom of life
Physiotherapy_for_Respiratory_and_Cardiac_Problems WEBBER.pdf
Institutional Correction lecture only . . .
Cell Structure & Organelles in detailed.
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
Pre independence Education in Inndia.pdf
Microbial disease of the cardiovascular and lymphatic systems

Mapping Water features from SAR Imagery

  • 1. BRAMANTIYO MARJUKI Mapping Water Features From Synthetic Aperture Radar Data REMOTE SENSING
  • 2. SAR PRINCIPLES Common Things About SAR MAPPING WATER FEATURES Prequisities Download Data From ASF Vertex Image Processing Workflow Water Body Extraction DISCUSSION Remote Sensing for OSM Project
  • 3. COMMON THINGS SAR DATA Image by : ESA PASSIVE AND ACTIVE REMOTE SENSING
  • 4. COMMON THINGS SAR DATA Image by : ESA MICROWAVE SPECTRUM USED
  • 5. COMMON THINGS SAR DATA Image by : ESA SAR Satellite and Sensor Timeline https://vertex.daac.asf.alaska.edu https://earthexplorer.usgs.gov https://www.gportal.jaxa.jp/gp/top.html https://scihub.copernicus.eu/
  • 6. COMMON THINGS SAR DATA Image by : ESA
  • 7. COMMON THINGS SAR DATA Image by : ESA Specular Reflection Surface Reflection
  • 8. COMMON THINGS SAR DATA Image by : ESA Double/Multiple Bounce Volume Scattering
  • 9. COMMON THINGS SAR DATA Image by : ESA Foreshortening Lay Over Shadow Radar Geometric Errors
  • 10. COMMON THINGS SAR DATA Image by : ESA Specular Reflection AzimuthScanning alongSatelliteOrbit Range Scanning along Satellite Swath Foreshortening Layover Shadow Surface Reflection
  • 11. COMMON THINGS SAR DATA Image by : ESA Double Bounce Volume Scattering
  • 12. MAPPING WATER SAR DATA QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer) Prequisities
  • 13. MAPPING WATER SAR DATA QGIS (advanced Install using OSGEO4W installer)
  • 14. MAPPING WATER SAR DATA Orfeo Toolbox (advanced Install using OSGEO4W installer)
  • 15. MAPPING WATER SAR DATA QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer)
  • 16. MAPPING WATER SAR DATA QGIS + Orfeo Toolbox (advanced Install using OSGEO4W installer)
  • 17. MAPPING WATER SAR DATA DATA We going to use ALOS PALSAR Radiometrically Terrain Corrected (RTC) data freely available to download from Alaska Satellite Facility (VERTEX) RTC Product designed to be GIS-ready, so user doesn’t need to preprocess the raw data which usually takes time and needs deep knowledge about SAR theories and SAR Processing sequences
  • 18. MAPPING WATER SAR DATA DATA https://vertex.daac.asf.alaska.edu/
  • 19. MAPPING WATER SAR DATA WORKFLOW (Two Ways of Mapping) Import Data Logaritmic Scale Conversion Speckle Filtering Histogram Thresholding Feature Extraction Output A Raster to Vector Output B Remove Edge Pixels Error
  • 20. MAPPING WATER SAR DATA 1. Import Data
  • 21. MAPPING WATER SAR DATA 2. Despeckle Note that speckle filtering operation will cause improper displayed (blank) image when it is not stretched. This effect happens because speckle filtering leaves very negative pixel value at the edge of the image, and we must fix it at the next step
  • 22. MAPPING WATER SAR DATA 3. Remove Edge Pixels Error (‘Layer Name’>-9999) * ’Layer Name’
  • 23. MAPPING WATER SAR DATA 2. Despeckle Pre speckle Post speckle
  • 24. MAPPING WATER SAR DATA 3. Log Conversion 10* log10 (Layer Name)
  • 25. MAPPING WATER SAR DATA 4.A Feature Extraction MagicWand Plugin Required Download from Manage and Install Plugins Menu
  • 26. MAPPING WATER SAR DATA 4.A Feature Extraction MagicWand Plugin Settings Tolerance Tolerance is used to understand if 2 blocks of pixels have similar colors. Example: If the user decides to extract a light green field surrounded by dark green trees to a low value of tolerance must be set. Conversely, if a field that has different shades of yellow is selected to be extracted all at once, the tolerance must be set to a high value. Approximation determines how many pixels must be merged in order to speed up the process. If approximation is increased you will immidiatly notice that the trasparent white area that follows your cursor is increased. . Timeout If a task is taking more than the timeout value (by default 15 seconds), it will be interrupted.
  • 27. MAPPING WATER SAR DATA 4.A Feature Extraction MagicWand Plugin Settings Set the Raster to multiband Magicwand only working on Multiband Color Render, so if you just have single band raster, just set it up into multiband, but just use same band for every color pane (RGB just use same band) Layer Properties>Style>multiband rendering
  • 28. MAPPING WATER SAR DATA 4.A Feature Extraction MagicWand Result Result automatically saved in polygon post processing like polygon smoothing still needed Result can be saved directly into Shapefile or other vector data format supported in QGIS
  • 29. MAPPING WATER SAR DATA 4.B Histogram Tresholding Layer Properties > Histogram Histogram will have bimodal pattern two peak of frequency cumulative, the lower peak usually related to accumulation of water related pixel values
  • 30. MAPPING WATER SAR DATA 4.B Histogram Tresholding By zooming into the histogram, we could identify the border value of water and land Which is -15,5
  • 31. MAPPING WATER SAR DATA 4.B Histogram Tresholding Return to STYLE Tab, change the color render to singleband pseudocolor, interpolation to discrete, mode to equal interval, and make just two classes Change the value of first class to -15,5
  • 32. MAPPING WATER SAR DATA 4.B Histogram Tresholding Result
  • 33. MAPPING WATER SAR DATA 4.B Histogram Tresholding (make it Permanent) ‘Layer Name’ <= -15.5
  • 34. MAPPING WATER SAR DATA 4.B Histogram Tresholding (raster to vector)
  • 35. MAPPING WATER SAR DATA 4.B Histogram Tresholding Result Result automatically saved in polygon post processing like polygon smoothing and cleaning also still needed Result can be saved directly into Shapefile or other vector data format supported in QGIS
  • 36. Terima Kasih I support throwing words game