ILMSImage Attribute Calculation

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=[[Bild: ilms_img_attributes_icon.png|50px|<span title=""></span>]] ILMSImage Attribute Calculation=
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[[de:ILMSImage_Attribute_Calculation]]
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[[pt:ILMSImage_Attribute_Calculation]]
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=[[File: ilms_img_attributes_icon.png|50px|<span title=""></span>]] ILMSImage Attribute Calculation=
  
 
==Introduction==
 
==Introduction==
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''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.  
 
''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.  
  
−
Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation_english#Part_1:_Information|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.
+
Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation#Part_1:_Information|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.
  
−
[[Bild:ilms_img_qgis_work_15.png|Das ILMSImage-Panel zur Berechnung von Zellattributen]]
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[[File:ilms_img_qgis_work_15.png|Das ILMSImage-Panel zur Berechnung von Zellattributen]]
  
 
==Attribute Calculation==
 
==Attribute Calculation==
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===Overview===
 
===Overview===
  
−
Das Panel erlaubt dem Benutzer folgende Einflussnahmen:
+
The panel allows the following functions for the user:
−
#'''Berechnung standardisierter zellbasierter Attribute''': Neben den Merkmalen der Zellgeometrie gehören Basisattribute, verschiedene Strukturmaße sowie statistische Kenngrößen zu den implementierten Parametern. Nach der Berechnung werden diese in einer Attributtabelle zusammengefasst.
+
#'''Calculation of default cell-based attributes''': In addition to features of cell geometry basic attributes, different structural features and statistical measures belong to the implemented parameters. After the calculation those are summarized in form of an attribute table.
−
#'''Hinzufügen zusätzlicher Datenebenen''': Dazu werden die entsprechenden Datenlayer vom Nutzer ausgewählt, mit einem Bezeichner versehen und den bereits vorhandenen Datenebenen hinzugefügt. Gegebenenfalls erfolgt eine automatisierte Anpassung des Datentyps und eine räumliche Beschneidung der ausgewählten Zusatzdaten.
+
#'''Adding additional data layers''': The corresponding data layers are selected by the user, an identifier is assigned and added to the existing data layers. If necessary, the data type is automatically adapted and the selected additional data are cut in terms of space.  
−
#'''Visualisierung der ausgewählten Attribute''': Zu diesem Zweck werden die in einer Datenbanktabelle zusammengefassten Attribute in Rasterdatendarstellungen transformiert und zur Veranschaulichung in QuantumGIS vorbereitet.
+
#'''Visualization of selected attributes''': For this purpose the attributes which are summarized in a database table are transformed into raster data and prepared in QuantumGIS for visualization.
  
 
===Calculation of Cell-Based Attributes===
 
===Calculation of Cell-Based Attributes===
  
−
Um aus der Verknüpfung von Zellgeometrie und den gewählten Eingangsdaten spezifische Attribute für die Untersuchungseinheiten abzuleiten, müssen die entsprechenden Parameter durch Klick auf das jeweilige Kontrollkästchen aktiviert werden. Die standardmäßig vorbereiteten Attribute umfassen '''Basiswerte''', '''Strukturmaße''', '''statistische Kenngrößen''' sowie die immer implizit berechneten '''Zellgeometriemerkmale'''.
+
In order to derive specific attributes for the samples from the link of cell geometry and selected input data, the relevant parameters have to be activated by clicking on the corresponding check box. The default attributes are  '''basic values''', '''structural features''', '''statistical parameters''' and the implicitly calculated '''features of cell geometry'''.
  
 
{| border="1" cellspacing="0" cellpadding="10" style="border-collapse: collapse;"
 
{| border="1" cellspacing="0" cellpadding="10" style="border-collapse: collapse;"
 
|-
 
|-
−
! width="5%" | Attributtyp !! width="12%" | Attribut !! width="12%" | GUI-Label !! width="16%" | Interne Bezeichnung !! width="55%" | Beschreibung
+
! width="5%" | Attribute type !! width="12%" | Attribute !! width="12%" | GUI-Label !! width="16%" | Internal designation !! width="55%" | Description
 
|-
 
|-
−
| Basis || Durchschnittswert pro Band || ''Average value per input band'' || <code><layer_id>[_<zähler></code>] || Für jedes Eingangsband wird der Durchschnittswert aller innerhalb einer Zelle zusammengefassten Bildpixel berechnet. Die interne Bezeichnung entspricht dem für das entsprechende Band gewählten Bezeichner (in der Beispielanwendung: <code>panchromatisch</code>), im Falle von mehrkanaligen Eingangsdaten ergänzt um eine Kanalnummer (in der Beispielanwendung: <code>multispektral_1</code>,  <code>multispektral_2</code>, usw.).
+
| Basis || Average value per band || ''average value per input band'' || <code><layer_id>[_<numerator></code>] || For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: <code>panchromatic</code>), in case of mult-channel input data completed by one channel number (in the example: <code>multi-spectral_1</code>,  <code>multi-spectral_2</code>, etc.).
 
|-
 
|-
−
| rowspan="4" | Struktur || Lineare Textur || ''Linear texture'' ||  <code>linear</code> || Die Aktivierung dieses Maßes erzeugt die Textur 1. Grades in einem 3x3-Kernel. Der Algorithmus berechnet die Textur für jede Zelle einzeln und ignoriert alle Bildpixel, die außerhalb der aktuellen Zelle liegen. Wie alle Strukturmaße verwendet auch die lineare Textur den ersten in der Projektinformation dargestellten Kanal als Grundlage für die Berechnung.
+
| rowspan="4" | Structure || Linear texture || ''linear texture'' ||  <code>linear</code> || The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.  
 
|-
 
|-
−
| Normalisierte Textur || ''Normalized texture'' ||  <code>normalized</code> || Die normalisierte Textur verwendet denselben Algorithmus wie die lineare Textur, normiert das Ergebnis allerdings noch zusätzlich mit dem Durchschnittswert aller Bildpixel der aktuellen Zelle. Wie alle Strukturmaße verwendet auch die normaliserte Textur den ersten in der Projektinformation dargestellten Kanal als Grundlage für die Berechnung.
+
| Normalized texture || ''normalized texture'' ||  <code>normalized</code> || The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.  
 
|-
 
|-
−
| Inverse Textur || ''Inverse texture'' || <code>inverse</code> || Durch Aktivierung der inversen Textur wird das ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) auf Pixelebene berechnet. Inverse Textur verwendet dazu den selben Algorithmus wie lineare und normalisierte Textur, berechnet jedoch schließlich den Kehrwert der quadrierten Differenzen. Wie alle Strukturmaße verwendet auch die inverse Textur den ersten in der Projektinformation dargestellten Kanal als Grundlage für die Berechnung.
+
| Inverse texture || ''inverse texture'' || <code>inverse</code> || By activating the inverse texture the ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.  
 
|-
 
|-
−
| Laplace-Textur || ''Laplace texture'' || <code>laplace</code> || Dieses Strukturmaß verwendet einen modifizierten Laplace-Kernel zur Kontrastverstärkung für einzelne Zellen. Der Parameter verstärkt das Ergebnis mit einem generischen Kernel, der auf lokale Kontrast-Maxima mit geringem räumlichen Abstand (zwei bis fünf Pixel) reagiert. Dadurch werden isolierte Linien reduziert und Regionen mit räumlich dichten Kontrasten gefüllt.  
+
| Laplace texture || ''Laplace texture'' || <code>laplace</code> || This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.  
 
|-
 
|-
−
| rowspan="2" | Statistik || Standardabweichung || ''Standard deviation'' ||  <code>stddev</code> || Durch Aktivierung dieser Option wird die Standardabweichung aller innerhalb einer Zelle zusammengefassten Bildpixel des ersten in der Projektinformation dargestellten Kanals berechnet.
+
| rowspan="2" | Statistics || Standard deviation || ''standard deviation'' ||  <code>stddev</code> || By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.  
 
|-
 
|-
−
| Varianz || ''Variance'' ||  <code>variance</code> || Durch Aktivierung dieser Option wird die Varianz aller innerhalb einer Zelle zusammengefassten Bildpixel des ersten in der Projektinformation dargestellten Kanals berechnet.
+
| Variance || ''variance'' ||  <code>variance</code> || By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.  
 
|-
 
|-
−
| rowspan="4" | Zellgeometrie || Zellgröße || rowspan="4" | ohne GUI-Anbindung ||  <code>size</code> || Die Größe einer Zelle in Bildpixeln des am höchsten aufgelösten Eingangsdatenkanals.
+
| rowspan="4" | Cell geometry || cell size || rowspan="4" | without GUI link||  <code>size</code> || The size of one cell in image pixels of the most highly resolved input data channel.
 
|-
 
|-
−
| Zellumfang ||  <code>perimeter</code> || Der Umfang einer Zelle in Bildpixeln des am höchsten aufgelösten Eingangsdatenkanals.
+
| Cell perimeter||  <code>perimeter</code> || The perimeter of one cell in image pixels of the most highly resolved input data channel.
 
|-
 
|-
−
| Zelllänge ||  <code>length</code> || Die Länge einer Zelle in Bildpixeln des am höchsten aufgelösten Eingangsdatenkanals.
+
| Cell length||  <code>length</code> || The length of a cell in image pixels of the most highly resolved input data channel.
 
|-
 
|-
−
| Zellbreite ||  <code>width</code> || Die Breite einer Zelle in Bildpixeln des am höchsten aufgelösten Eingangsdatenkanals.
+
| Cell width||  <code>width</code> || The width of a cell in image pixels of the most highly resolved input data channel.
 
|-
 
|-
 
|}
 
|}
  
−
Nach Berechnung der ausgewählten werden diese in einer Attributtabelle zusammengefasst.
+
After the selected attributes have been calculated, they are summarized in a table and are available for additional analysis using ILMSImage.  The user receives a note about the end of the process and a summary of the calculated attributes.  
  
−
===Adding Additional Data Layers===
+
[[File:ilms_img_qgis_work_17.png|Benachrichtigung bei Abschluss der Attributberechnung]]
 +
 
 +
===Export and Visualization of Cell-based Attributes===
 +
 
 +
For visual control the plug-in makes it possible to export selected attributes as raster layers after they have been calculated and to show them subsequently in the current QuantumGIS-Project. Consequently, the required attributes are selected and the process is started by clicking on ''Export/visualize attributes''. Then ILMSImage creates raster datasets of the attributes and stores them in the <code>exports</code> directory of the current ILMSImage project. The completion of the process is indicated to the user in a message window.
 +
 
 +
[[File:ilms_img_qgis_work_18.png|Benachrichtigung und Abfrage nach Abschluss des Attributexports]]
 +
 
 +
The window also offers the possibility of visualizing all exported attributes automatically. For this purpose the raster datasets are loaded into the current QuantumGIS project, relocated to the key group for ''ILMSImage Exports'' and their visualization is adapted by using a  ''Standard Deviation Stretch''. The result is represented in a map view like this:
 +
 
 +
[[File:ilms_img_qgis_work_19.png|800px|Exportierte und in der Kartenansicht visualisierte Attributdatensätze]]
 +
 
 +
If the corresponding prompt is denied, the exported attributes can be added to the current QuantumGIS project individually and separately by the user. In this case, the visualization has to be modified by the user as well.
 +
 
 +
==Working with External Data Layers ==
 +
 
 +
===Adding and Editing Additional Data Layers ===
 +
 
 +
In addition to the mentioned standard attributes, the external data layers can be integrated into the process of attribute calculation. For the integration basically every available dataset in raster form is suitable. In the integration within every layer and for every cell a mean value is calculated and finally added to the attribute table. This means that additional attributes correspond to the above-described '''basic attribute''' - with regard to the calculation ordinance – the only difference being that additional data layers do not influence cell creation since they are already completed. This function is therefore suitable for integrating additional multispectral levels (or combinations of these) which are required as attributes for additional analysis but not for a derivation of analysis areas, i.e. cells, into the work process. A simple example is the ''[http://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php Normalized Vegetation Difference Index, NDVI]'' which is a measure for vegetation activity. It can be calculated using two channels which are in the visual field and in the close infrared field of the electromagnetic spectrum. As additional data layer a pixel-based NDVI picture is available. The following image shows areas of high vegetation activity in green colors and areas of low activity in yellow colors.
 +
 
 +
[[File:ilms_img_qgis_work_20.png|800px|In die Kartenansicht geladener pixelbasierter NDVI-Datensatz]]
 +
 
 +
This dataset can now be defined as an external data layer - for this purpose it does not have to be loaded in QuantumGIS; it is sufficient to know the corresponding path. For the definition the corresponding field of the panel is used. The tool allows to define new external layers (1), edit existing layers (2) and delete external data layers from the project (3).
 +
 
 +
[[File:ilms_img_qgis_work_21.png|Tool zur Definition und Bearbeitung externer Datenebenen]]
 +
 
 +
In order to create a new external layer, a dialog box appears after clicking on the corresponding icon. It makes it possible to select the corresponding data source in the file system and assign an identifier. It should be noted that a unique identifier is selected which is not already used for other data layers or for one of the default attributes (see table above). For the example dataset of NDVI it looks like this:
 +
 
 +
[[File:ilms_img_qgis_work_22.png|Definition einer neuen externen Datenebene]]
 +
 
 +
After the affirmation the dataset is copied to the project directory to allow ILMSImage exclusive access to the source files for cell creation in an analogous manner. If necessary, it is then adjusted to the test area. In order to allow for visual control, ILMSImage offers to load the results of these processes into the map view:
 +
 
 +
[[File:ilms_img_qgis_work_23.png|Benachrichtigung nach Abschluss der Definition einer externen Datenebene]]
 +
 
 +
After affirming the question, the external dataset is visualized using a ''Standard Deviation Stretch''; the range of colors for original data is not applied. Since this representation is only used for visual control, the corresponding dataset is deleted before carrying out an attribute calculation. Moreover, the generated additional level appears in in the corresponding list of the tool panel. In the following image an area of high vegetation activity is shown in light colors, areas of low activity are represented in dark colors:
 +
 
 +
[[File:ilms_img_qgis_work_24.png|800px|Zur visuellen Kontrolle geladener externer NDVI-Datensatz]]
 +
 
 +
A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.
 +
 
 +
===Automatic Scaling of the Data Type of External Data Levels===
 +
 
 +
ILMSImage only allows input data which are available in the byte domain (8bit, gray level between 0 and 255). If a non-compatible layer is chosen during the definition of an external data level, ILMSImage asks if this layer is supposed to be scaled automatically on the acceptable domain. If, for example, a 16bit part of a [http://en.wikipedia.org/wiki/RapidEye RapidEye] scene is supposed to be integrated, the following message appears:
 +
 
 +
[[File:ilms_img_qgis_work_25.png|Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp]]
 +
 
 +
When the request has been confirmed, the dataset is scaled on the 8bit domain and is loaded - optionally - into the map view for visual control.
 +
 
 +
[[File:ilms_img_qgis_work_26.png|800px|Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene]]
 +
 
 +
===Attribute Calculation Using External Data Layers===
 +
 
 +
The defined external datasets are available for attribute calculation like the original source data did and are therefore treated like equivalent layers. This holds true for the actual calculation and the visualization of the calculated layers.
 +
 
 +
[[File:ilms_img_qgis_work_27.png|Benachrichtigung nach Abschluss der Attributberechnung mit externen Zusatzebenen]]
 +
 
 +
[[File:ilms_img_qgis_work_28.png|Abfrage zur Visualisierung von mit Zusatzebenen berechneter Attribute]]
 +
 
 +
===Deleting External Data Layers===
 +
 
 +
In order to remove an external data layer from the project, it is selected from the list of all external layers and the appropriate symbol in the panel is clicked. ILMSImage then asks whether the related dataset should be deleted permanently, i.e. removed from the file system. This request refers only to a generated rush print of the external layer which was generated earlier in the project directory. The files which were originally used for the definition are ''not'' threatened with deletion.
 +
 
 +
[[File:ilms_img_qgis_work_29.png|Abfrage beim Entfernen eines externen Layers aus dem ILMSImage-Projekt]]
 +
 
 +
==Following Steps==
 +
 
 +
After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel [[ILMSImage Classification|ILMSImage Classification]].

Latest revision as of 12:07, 13 January 2012

Contents

ILMSImage Attribute Calculation

Introduction

ILMSImage Attribute Calculation is part of the ILMSImage plug-in for QuantumGIS and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.

Similar to various ILMSImage panels it consisits of two components, ILMSImage Project Information in the upper section and the actual tools in the lower section.

Das ILMSImage-Panel zur Berechnung von Zellattributen

Attribute Calculation

Background

...

Overview

The panel allows the following functions for the user:

  1. Calculation of default cell-based attributes: In addition to features of cell geometry basic attributes, different structural features and statistical measures belong to the implemented parameters. After the calculation those are summarized in form of an attribute table.
  2. Adding additional data layers: The corresponding data layers are selected by the user, an identifier is assigned and added to the existing data layers. If necessary, the data type is automatically adapted and the selected additional data are cut in terms of space.
  3. Visualization of selected attributes: For this purpose the attributes which are summarized in a database table are transformed into raster data and prepared in QuantumGIS for visualization.

Calculation of Cell-Based Attributes

In order to derive specific attributes for the samples from the link of cell geometry and selected input data, the relevant parameters have to be activated by clicking on the corresponding check box. The default attributes are basic values, structural features, statistical parameters and the implicitly calculated features of cell geometry.

Attribute type Attribute GUI-Label Internal designation Description
Basis Average value per band average value per input band <layer_id>[_<numerator>] For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: panchromatic), in case of mult-channel input data completed by one channel number (in the example: multi-spectral_1, multi-spectral_2, etc.).
Structure Linear texture linear texture linear The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.
Normalized texture normalized texture normalized The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.
Inverse texture inverse texture inverse By activating the inverse texture the Inverse Difference Moment (Haralick et al. (1973), S. 619) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.
Laplace texture Laplace texture laplace This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.
Statistics Standard deviation standard deviation stddev By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.
Variance variance variance By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.
Cell geometry cell size without GUI link size The size of one cell in image pixels of the most highly resolved input data channel.
Cell perimeter perimeter The perimeter of one cell in image pixels of the most highly resolved input data channel.
Cell length length The length of a cell in image pixels of the most highly resolved input data channel.
Cell width width The width of a cell in image pixels of the most highly resolved input data channel.

After the selected attributes have been calculated, they are summarized in a table and are available for additional analysis using ILMSImage. The user receives a note about the end of the process and a summary of the calculated attributes.

Benachrichtigung bei Abschluss der Attributberechnung

Export and Visualization of Cell-based Attributes

For visual control the plug-in makes it possible to export selected attributes as raster layers after they have been calculated and to show them subsequently in the current QuantumGIS-Project. Consequently, the required attributes are selected and the process is started by clicking on Export/visualize attributes. Then ILMSImage creates raster datasets of the attributes and stores them in the exports directory of the current ILMSImage project. The completion of the process is indicated to the user in a message window.

Benachrichtigung und Abfrage nach Abschluss des Attributexports

The window also offers the possibility of visualizing all exported attributes automatically. For this purpose the raster datasets are loaded into the current QuantumGIS project, relocated to the key group for ILMSImage Exports and their visualization is adapted by using a Standard Deviation Stretch. The result is represented in a map view like this:

Exportierte und in der Kartenansicht visualisierte Attributdatensätze

If the corresponding prompt is denied, the exported attributes can be added to the current QuantumGIS project individually and separately by the user. In this case, the visualization has to be modified by the user as well.

Working with External Data Layers

Adding and Editing Additional Data Layers

In addition to the mentioned standard attributes, the external data layers can be integrated into the process of attribute calculation. For the integration basically every available dataset in raster form is suitable. In the integration within every layer and for every cell a mean value is calculated and finally added to the attribute table. This means that additional attributes correspond to the above-described basic attribute - with regard to the calculation ordinance – the only difference being that additional data layers do not influence cell creation since they are already completed. This function is therefore suitable for integrating additional multispectral levels (or combinations of these) which are required as attributes for additional analysis but not for a derivation of analysis areas, i.e. cells, into the work process. A simple example is the Normalized Vegetation Difference Index, NDVI which is a measure for vegetation activity. It can be calculated using two channels which are in the visual field and in the close infrared field of the electromagnetic spectrum. As additional data layer a pixel-based NDVI picture is available. The following image shows areas of high vegetation activity in green colors and areas of low activity in yellow colors.

In die Kartenansicht geladener pixelbasierter NDVI-Datensatz

This dataset can now be defined as an external data layer - for this purpose it does not have to be loaded in QuantumGIS; it is sufficient to know the corresponding path. For the definition the corresponding field of the panel is used. The tool allows to define new external layers (1), edit existing layers (2) and delete external data layers from the project (3).

Tool zur Definition und Bearbeitung externer Datenebenen

In order to create a new external layer, a dialog box appears after clicking on the corresponding icon. It makes it possible to select the corresponding data source in the file system and assign an identifier. It should be noted that a unique identifier is selected which is not already used for other data layers or for one of the default attributes (see table above). For the example dataset of NDVI it looks like this:

Definition einer neuen externen Datenebene

After the affirmation the dataset is copied to the project directory to allow ILMSImage exclusive access to the source files for cell creation in an analogous manner. If necessary, it is then adjusted to the test area. In order to allow for visual control, ILMSImage offers to load the results of these processes into the map view:

Benachrichtigung nach Abschluss der Definition einer externen Datenebene

After affirming the question, the external dataset is visualized using a Standard Deviation Stretch; the range of colors for original data is not applied. Since this representation is only used for visual control, the corresponding dataset is deleted before carrying out an attribute calculation. Moreover, the generated additional level appears in in the corresponding list of the tool panel. In the following image an area of high vegetation activity is shown in light colors, areas of low activity are represented in dark colors:

Zur visuellen Kontrolle geladener externer NDVI-Datensatz

A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.

Automatic Scaling of the Data Type of External Data Levels

ILMSImage only allows input data which are available in the byte domain (8bit, gray level between 0 and 255). If a non-compatible layer is chosen during the definition of an external data level, ILMSImage asks if this layer is supposed to be scaled automatically on the acceptable domain. If, for example, a 16bit part of a RapidEye scene is supposed to be integrated, the following message appears:

Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp

When the request has been confirmed, the dataset is scaled on the 8bit domain and is loaded - optionally - into the map view for visual control.

Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene

Attribute Calculation Using External Data Layers

The defined external datasets are available for attribute calculation like the original source data did and are therefore treated like equivalent layers. This holds true for the actual calculation and the visualization of the calculated layers.

Benachrichtigung nach Abschluss der Attributberechnung mit externen Zusatzebenen

Abfrage zur Visualisierung von mit Zusatzebenen berechneter Attribute

Deleting External Data Layers

In order to remove an external data layer from the project, it is selected from the list of all external layers and the appropriate symbol in the panel is clicked. ILMSImage then asks whether the related dataset should be deleted permanently, i.e. removed from the file system. This request refers only to a generated rush print of the external layer which was generated earlier in the project directory. The files which were originally used for the definition are not threatened with deletion.

Abfrage beim Entfernen eines externen Layers aus dem ILMSImage-Projekt

Following Steps

After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel ILMSImage Classification.

Retrieved from "https://jams.uni-jena.de/ilmswiki/index.php/ILMSImage_Attribute_Calculation"
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