Geomatics Engineering and Remote Sensing

Analysis, Interpretation, and Visualization

4.1.

Geographic Information Systems

4.1.1.

4.1.1.1.

4.1.1.1.1.

4.1.1.1.2.

4.1.1.1.3.

4.1.1.1.4.

4.1.1.1.5.

4.1.1.2.

4.1.1.2.1.

4.1.1.2.2.

4.1.1.3.

Spatial Relationships

4.1.1.3.1.

Topological Relationships

4.1.1.3.2.

Metric Relationships

4.1.2.

Vector Data Analysis

4.1.2.1.

Buffering

4.1.2.1.1.

Fixed Distance Buffers

4.1.2.1.2.

Variable Distance Buffers

4.1.2.2.

4.1.2.2.1.

4.1.2.2.2.

4.1.2.2.3.

4.1.2.2.4.

4.1.2.3.

4.1.2.3.1.

Shortest Path Analysis

4.1.2.3.2.

Service Area Analysis

4.1.2.3.3.

Closest Facility Analysis

4.1.2.4.

Spatial Joins

4.1.2.4.1.

Point-in-Polygon

4.1.2.4.2.

Spatial Relationships

4.1.3.

4.1.3.1.

4.1.3.1.1.

4.1.3.1.2.

4.1.3.1.3.

4.1.3.1.4.

4.1.3.2.

4.1.3.2.1.

4.1.3.2.2.

4.1.3.2.3.

4.1.3.2.4.

4.1.3.3.

Hydrological Modeling

4.1.3.3.1.

Flow Direction

4.1.3.3.2.

Flow Accumulation

4.1.3.3.3.

Watershed Delineation

4.1.3.3.4.

Stream Network Extraction

4.1.4.

Spatial Interpolation Techniques

4.1.4.1.

Inverse Distance Weighting

4.1.4.2.

4.1.4.2.1.

4.1.4.2.2.

4.1.4.3.

4.1.4.4.

Trend Surface Analysis

4.2.

Digital Image Analysis and Interpretation

4.2.1.

Visual Image Interpretation

4.2.1.1.

Elements of Interpretation

4.2.1.1.1.

4.2.1.1.2.

4.2.1.1.3.

4.2.1.1.4.

4.2.1.1.5.

4.2.1.1.6.

4.2.1.1.7.

4.2.1.1.8.

4.2.1.2.

4.2.1.3.

Stereoscopic Interpretation

4.2.2.

Digital Image Classification

4.2.2.1.

Supervised Classification

4.2.2.1.1.

Training Data Selection

4.2.2.1.2.

Signature Development

4.2.2.1.3.

Classification Algorithms

4.2.2.1.3.1.

Maximum Likelihood

4.2.2.1.3.2.

Minimum Distance

4.2.2.1.3.3.

Parallelepiped

4.2.2.2.

Unsupervised Classification

4.2.2.2.1.

Clustering Methods

4.2.2.2.1.1.

K-means Clustering

4.2.2.2.1.2.

ISODATA Clustering

4.2.2.2.2.

Class Label Assignment

4.2.2.3.

Object-Based Image Analysis

4.2.2.3.1.

4.2.2.3.2.

4.2.2.3.3.

4.2.2.4.

4.2.2.4.1.

4.2.2.4.2.

4.2.2.4.3.

4.2.2.4.4.

4.2.2.4.5.

4.2.3.

Image Enhancement Techniques

4.2.3.1.

Contrast Stretching

4.2.3.1.1.

Linear Stretching

4.2.3.1.2.

Histogram Equalization

4.2.3.1.3.

Piecewise Linear Stretching

4.2.3.2.

Principal Component Analysis

4.2.3.2.1.

Data Reduction

4.2.3.2.2.

Noise Reduction

4.2.3.3.

Filtering

4.2.3.3.1.

Spatial Domain Filtering

4.2.3.3.2.

Frequency Domain Filtering

4.2.3.3.3.

Edge Enhancement

4.2.3.3.4.

Noise Reduction

4.2.4.

Change Detection Analysis

4.2.4.1.

Multi-temporal Image Analysis

4.2.4.2.

Post-classification Comparison

4.2.4.3.

Image Differencing

4.2.4.4.

Principal Component Analysis for Change Detection

4.2.4.5.

Change Vector Analysis

4.3.

3D Modeling and Visualization

4.3.1.

Digital Surface Models

4.3.1.1.

DSM Generation

4.3.1.2.

DSM Applications

4.3.2.

Digital Terrain Models

4.3.2.1.

DTM Generation

4.3.2.2.

DTM Applications

4.3.3.

3D City Models

4.3.3.1.

Level of Detail Concepts

4.3.3.2.

Building Information Modeling Integration

4.3.3.3.

Urban Visualization

4.3.4.

Virtual and Augmented Reality in Geomatics

4.3.4.1.

Immersive Visualization Techniques

4.3.4.2.

Applications in Planning

4.3.4.3.

Applications in Education

4.3.4.4.

Hardware Requirements

3. Geospatial Data Processing and Management

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5. Applications of Geomatics and Remote Sensing