Impervious Surface Mapping Using Four-Band Imagery and LIDAR
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Solution Overview
Problem
Accurate determination and quantification of impervious surfaces within geographic areas is challenging for stormwater utilities, leading to difficulties in maintaining up-to-date parcel maps and compliance with water quality regulatory requirements.
Innovation Solution
Utilizing aerially collected four-band imagery and light detection and ranging (LIDAR) data, combined with object-based image analysis, to identify and quantify impervious surfaces, and associating them with specific parcels for billing purposes, even if they extend beyond parcel boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual methods are used to determine impervious surface area, then accuracy can be maintained, but the task becomes significantly more time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual field surveying and visual inspection methods with automated aerial imaging and computer processing systems. Four-band aerial imagery and LIDAR data are processed through algorithms that automatically identify and classify impervious surfaces, eliminating the need for manual parcel-by-parcel assessment while maintaining high accuracy through multi-spectral analysis and object-based image analysis (OBIA).
Solution Approach 2:
The system utilizes four-band imagery (visible red, green, blue, and near-infrared) instead of traditional single-band photography, enabling differentiation of surface materials based on their spectral signatures. This parameter expansion allows automated detection of impervious surfaces by analyzing reflectance patterns across multiple wavelengths, significantly improving both speed and accuracy of classification.
2Reliability
If comprehensive parcel mapping is maintained to track impervious surfaces, then regulatory compliance is improved, but the complexity and cost of maintaining up-to-date maps increases
Solution Approach 1:
The aerial imaging system serves multiple functions simultaneously: it captures four-band spectral data for material classification, obtains LIDAR elevation data for surface characterization, and provides geospatial coordinates for parcel association. This multi-functional approach consolidates what would otherwise require separate data collection efforts into a single integrated system, reducing overall complexity while improving compliance reliability.
Solution Approach 2:
The patent introduces a computer system as an intermediary that automatically associates classified impervious surfaces with corresponding parcel identifiers. This intermediary processing layer handles the complex task of matching imagery features with parcel boundary data, eliminating the need for manual correlation and reducing system complexity while ensuring accurate regulatory tracking.
3Productivity
If aerial imagery and LIDAR data are processed to identify impervious surfaces, then measurement precision and productivity are improved, but device complexity increases
Solution Approach 1:
The patent divides the impervious surface detection task into distinct processing stages: (1) data acquisition from four-band imagery and LIDAR, (2) image preprocessing and normalization, (3) object-based segmentation of the imagery into discrete features, (4) classification of segmented objects as impervious or pervious, and (5) association with parcel data. This segmentation of the processing workflow manages system complexity by breaking down the complex analysis into manageable modular steps that can be executed efficiently.
Solution Approach 2:
The system creates digital copies of physical surfaces through four-band aerial imagery and LIDAR point clouds, allowing virtual analysis and classification without physical contact or manual inspection. These digital replicas preserve all necessary spectral and geometric information, enabling automated processing at high speed while reducing the need for complex physical measurement equipment in the field.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification and quantification of impervious surfaces, facilitating accurate billing and compliance with regulatory requirements by linking surfaces to relevant parcels, thus enhancing stormwater management practices.
Implementation Method 1
aerially collected four-band imagery and light detection and ranging (LIDAR) data
Data Source
AI summary
Systems and methods are provided for impervious surface mapping of a target geographic area. The impervious surface mapping utilizes four-band imagery data and light detection and ranging (LIDAR) data collected from the target geographic area. The identified impervious surfaces can include surfaces that are obscured by vegetation, trees, or other objects. The derived area of target geographic area includes surfaces that are obscured in the aerially collected geographic surface data based on the contextual quantification of the surfaces.