Tools for the GeoWeb

© ERDAS, Inc. A Hexagon Company. All Rights Reserved

Tools for the

GeoWeb

Bradley C SkeltonHyderabad, February 13 2009

2

The Old Silo’s are Dissappearing…

The „Silo‟ effect of departments not working together to share data

resulting in disconnected workflows and redundant mapping....

PhotogrammetryDepartment

Remote SensingDepartment

GISDepartment

ITDepartment

…As Enterprise Systems Develop.

SOA Services Platform

Decision Support & Applications

OGC Bus

LBS

Services

OLS

Geocoding

Routing

Directory

Gateway

Sensors

Services

SensorML

SCS

SPS

WNS

GML

Catalogs

Services

CS-WDublinCore

ebRIM

ISO19119

ISO1915

Know-

legde

Services

CS-W2

WMC

Onthology

Symbol cat

SLD

e-busi-

ness

Services

ebXML

geoDRM

WSS

WPS

GIS

Services

WMS

WFS -gml

WCS

SLD

FE

Others

……

© ERDAS, Inc. A Hexagon Company. All Rights Reserved 4

Such As…(2006) EC-EUSC

(2003) EC-ACE/GIS

(2004) Luxembourg ACT

(2005) Danemark KMS

(2007) Norway KSAT

(2002) EC-NGIS

(2005) Holland AGI

(2004) UK OS

(2000) France BRGM

(2001) Eurocontrol

(2002) Hutch Telecom

(2006) Mercedes

(2001) United Nations

(2006) GEOSS (prototype)

(2004) Abu Dhabi (prototype)

(2006) NSDI India (prototype)

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../../Bureau/@New Sales Kit/Porto/IONIC-NGIS-REVIEW Meeting.ppt

../../Bureau/@New Sales Kit/Porto/MME Map Middle East 2007/Eurocontrol.html

EC INSPIRE SDI

Lulea

WFSWMS

W-

Hungary

WFSWMS

VUGTK

WFSWMS

JRC

WFSWMS

Cemagref

WFSWMS

IONIC

Software

WFSWMS

Gazetteer (IONIC)

Catalog (IONIC)

Gazetteer CS/W (WRS)

Catalog ClientWeb Map viewer

Prov.

Liguria

WFSWMS

OGC Bus

Others

WFSWMS

(Opensource)

Apollo Is One Such System

Ionic Software s.a.

Apollo

Solution Toolkit

Apollo Services APIs…

• Geometry API

• Index Administration API

• Queryable API

• Pyramid Management API

• Image Archive Service API

• JAXR API

• Style Layer Descriptor API

• Web Mapping Service API

• Web Feature Service API

• Web Coverage Service API

• Coverage Permission API


The Geometry Data Model


Create a Geometry


The Indexer (Catalog) API


Architecture of a Web Application


• Java Script Browser Side Compnents

• Java Server Side Components

• JSON Messages

Building a Simple Web App…


Create the Map and Navigation Bar…


Produces this result…


Controlling Layers


A Catalog Search and Results…


Add Tools to Support Feature Editing



Adding Custom Data Sources …

Connector APIs to enhance the underlying

web services with the support of new data or

metadata types:• developer guide

• java doc: complete API and interfaces

documentation

• Imagine raster decoders are plugged through

these interfaces!


Situational Information System…

GeoService Explorer for IMAGINE

PROCESSING SERVICES ON THE

WEB


Geospatial Imagery Applications

• Land Cover Classification

• Ice Mapping

• Crop Monitoring

• Urban Mapping

• Disaster Monitoring

• Bathymetry

• Mobility Analysis

• Change Detection

• Building Extraction

• Subsidence Mapping

• Environment Monitoring

• Feature Extraction/Detection

• Crop Production Estimation

• Biodiversity Characterization

• Road Extraction

• Elevation Extraction

• Urban and Regional Planning

• Defense Mapping

• Wetlands Mapping

• City Modeling

• Target Mapping

Land Subsidence Detection

Measured land subsidence

of city of Shanghai with D-

inSAR with accuracy about

3mm

Automated Building Extraction


A Number of Different Options Exist

• Style Layer Descriptor (SLD)– Conversion of data into a

visual style is a form of processing

• Sensor Markup Language (SensorML) – Conversion of

information from a sensor into usable information is a form

of processing

• Web Processing Service (WPS) – An open specification

describing processes from and input and out perspective.


OGC Web Processing Service

• The specified Web Processing Service (WPS) provides

client access to pre-programmed calculations and/or

computation models that operate on spatially referenced

data. The data required by the service can be delivered

across a network, or available at the server. This data can

use image data formats or data exchange standards such

as Geography Markup Language (GML) or Geolinked Data

Access Service (GDAS). The calculation can be as simple

as subtracting one set of spatially referenced numbers from

another (e.g. determining the difference in influenza cases

between two different seasons), or as complicated as a

global climate change model.


OGC WPS is a Shell

• WPS defines a way to

discover and execute

some process

• Does not address

granularity of a “Process”.

• Does not define

semantics of a process

only its inputs and

outputs.


Spatial Modeling Language (SML)SML is a rich spatial modeling language that can handle many aspects of

processing a coverage which single function service models cannot. Much as the

SLD can describe complex styling a Spatial Modeling Language can express very

complex models, very concisely.

The language is expressed using a

“C” like notation which is interpreted

by the modeling engine.

There is also a graphical tool for

creating models in a familiar flow

chart scheme.

SML is expressed as an ASCII script

set default origin table 1;

set default origin matrix 1;

set default origin raster 1;

float raster f1 file old input window arg4 ,

arg5 : arg6 , arg7 arg8 arg1;

integer incount;

integer outcount;

incount = numlayers (f1);

outcount = arg9;

set aoi arg12;

float raster o (outcount) file new output

continuous arg3 arg10 arg2;

float raster tempout;

float matrix cov [incount, incount];

float matrix tmpmtx [incount, incount];

float matrix eig [incount, outcount];

float matrix transmtx [outcount, incount];

cov = covariance (f1);

tmpmtx = eigenmatrix (cov);

eig = eigenmatrix (cov) [1, 1: incount,

outcount];

transmtx = mattrans (eig);

if(arg13) {

show "Eigen Matrix: ",tmpmtx;

}

if(arg14) {

write tmpmtx to arg15;

}

if(arg16) {

show "Eigenvalues: ", eigenvalues (cov);

}

if(arg17) {

write eigenvalues (cov) to arg18;

}

if(arg11) {

tempout = linearcomb (f1, transmtx);

o = ((tempout - global min(tempout))/(global

max(tempout) -

global min(tempout))) * 255;

}

else {

o = linearcomb (f1, transmtx);

}

quit;

Object TypesType Description

Scalar A single numeric value, color or character string

TableA series of numeric values, colors, or character strings. A table has

one column and a fixed number of rows.

MatrixA set of numbers arranged in a two dimensional array. A matrix

has a fixed number of rows and columns.

Raster A single layer or multi-layer array of pixel data.

VectorVector data in either a vector coverage or annotation layer can be

read directly and converted to raster data on the fly.

Function CategoriesCategory Description

Analysis Includes convolution filtering, histogram matching, contrast stretch, principal components, etc.

Arithmetic Includes addtion, subtraction, multiplication, division, factorial, modulus, etc.

Bitwise Bitwise functions including and, or, xor and not

Boolean Logical functions including and, or and not

Color RGB to IHS, HIS to RGB, etc.

Conditional Per pixel logical tests : conditional and either…if…or…otherwise

Data Generation Generate raster data from map coordinates, column numbers,

Descriptor Read Descriptor data and map pixels through descriptor data

Distance Distance functions including proximity analysis

Exponential Natural and common log, exponent, square root, etc.

Function CategoriesCategory Description

Focal (Scan)Neighborhood analysis including boundary, density, diversity, maximum, mean, standard

deviation, etc.

Global Global functions including: diversity, maximum, minimum, mean, standard deviation,etc.

Matrix Matrix functions including multiply, divide, transpose,

Other Data type conversions, various tests, etc.

Relational Includes: equality, inequality, less than, greater than,

Size Measure Cell X and Y size, layer width and height, rows, columns, etc.

StackPerform operations over a stack of layers including: diversity, majority, mean, median, max,

minority, and sum

Statistical Local statistical operations including density, majority, mean, rank, etc.

String Concatenate and convert strings

Surface Topographical operators such as aspect and slope

Trigonometric Common trigonometric functions such as sine, cosine, tangent, hyperbolic, etc.

Zonal Zonal operations such as summary, diversity, majority, min, range, standard deviation, etc.

Coverage

Data

Modeling Engine

• Combines a script with data

to produce results

• One or more results from a

single script

• Multiple Instances of the

engine can be run

simultaneously

Coverage

Data

Result(s)Result(s)

Modeling

Engine

Spatial

Model

ScriptCoverage

Data

Model Author

Modeling Service Concept

Model Consumers

Model Consumers

Model Consumers

A single author may define and

provide models to solve various

problems for multiple users. The users

would select the model from a library

and request that the modeling service

apply this to the selected data to

generate a result. The model is self

describing and is meant to be used in

conjunction with a query system to

select the appropriate data.

Modeling Service

Modeling Service Benefits

•The user works with data from the collective data pool.

•The imagery stays on the server and no need to download onto

the local system. (saves bandwidth and time and disk space.

Reduces duplication so backups are quicker and the data is

maintained centrally with it's metadata)

•The model runs on the server where it has optimized access to

the data and an optimized hardware environment.

•When the model has been run, the results are added back into

the data pool so others can visualize and even use again in

other models

•No need to learn new software for the consumers, just use the

modeler like any other web page.

•No need to load bulky software on the local system (maintance,

disk space etc.) all the consumers use server side modeler

We need a way to dynamically

“publish”

• WPS defines a way to

discover and execute

some process

• Does not address

granularity of a “Process”.

• Does not define

semantics of a process

only its inputs and

outputs.

• It is not dynamic, so

publishing on the fly must

be an extension


Extensible WPS-T Framework

37

General Extensible WPS Architecture


Modeling Service Architecture


Publish a Model Experience


Web Toolkit Components to Discover

and Run


Mobility Analysis Example

Landcover Mapping



Mobility Analysis

Change Detection


Feature Extraction


A Simple Web User Experience

The Result of the Model

is returned as a

separate HTML from

which it could be:• Downloaded to a Local File

• Stored in the Catalog

• Loading into a WMS Client

Display the Results in an OGC Client

As a Web Service…

THANK YOU

Now Launched in India:

“Developers Network for ERDAS”

“ERDAS Business Partner Program”

Contact:

Atanu Sinha

Tel: 0124 – 4633000

Email: - [email protected]


mailto:[email protected]

Tools for the GeoWeb

Technology

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