20240056693. Systems and Methods For Multispectral Landscape Mapping simplified abstract (LandScan LLC)

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Systems and Methods For Multispectral Landscape Mapping

Organization Name

LandScan LLC

Inventor(s)

Jack F. Paris of Clovis CA (US)

Michael J. Unverferth of Raymond NE (US)

Mark Hull of Exeter CA (US)

Robert S. Horton of Colchester VT (US)

Stephen P. Farrington of Gaysville VT (US)

Daniel James Rooney of Lake Oswego OR (US)

Systems and Methods For Multispectral Landscape Mapping - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240056693 titled 'Systems and Methods For Multispectral Landscape Mapping

Simplified Explanation

The patent application describes systems and methods for efficiently generating high-resolution geo-referenced spectral imagery of a region of interest. These systems are particularly useful for monitoring the development and health of vegetative landscapes.

  • Aerial spectral imaging systems are disclosed for remote sensing of a geographic region, such as a vegetative landscape.
  • Photogrammetry processes are applied to a first set of image frames captured with a first image sensor to generate external orientation data and surface elevation data.
  • The generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus.
  • This allows for the generation of geo-referenced images captured by the one or more other image sensors.

Potential applications of this technology:

  • Monitoring the development and health of vegetative landscapes.
  • Remote sensing of geographic regions for various purposes, such as environmental monitoring or land management.

Problems solved by this technology:

  • Efficiently generating high-resolution geo-referenced spectral imagery of a region of interest.
  • Simplifying the process of generating geo-referenced images by translating external orientation data between image sensors.

Benefits of this technology:

  • Provides high-resolution imagery for monitoring and analyzing vegetative landscapes.
  • Enables efficient and accurate remote sensing of geographic regions.
  • Simplifies the process of generating geo-referenced images by sharing external orientation data between image sensors.


Original Abstract Submitted

image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. in some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. in some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.