Managing, planning and monitoring our natural resources relies on accurate information about regional land cover. The analysis of satellite imaging data is an effective method for bringing out pertinent geographical and man-made features in order to detect changes.
Multispectral images allow the user to see beyond the "natural colour" limits of a photograph. Satellite sensors collect data into the infrared spectrum which can distinguish vegetation under stress, for example.

Species Identification

Classification and identification of land cover species can be done by assigning attributes to events on the ground using satellite multispectral data. Raw digital numbers are converted into standardized reflectance factors.

See Example

% Vegetation Coverage

Computing normalized vegetation indices for a region of interest from one year to the next can be used to quantify an increase or decrease in percent vegetation coverage.

See Example

Locating Surface Contaminants

Different combinations of discrete spectral bands are analyzed to locate otherwise invisible features. In this case, we target a large area to locate and quantify contaminants such as oil on surface.

See Example

Locating Seasonal Water Bodies

Absorption of the infrared band allows us to analyze underlying soil characteristics such that wet soils can be differentiated from dry soils.



© 2014 AKS Geoscience Inc.
Managing, planning and monitoring our natural resources relies on accurate information about regional land cover. The analysis of satellite imaging data is an effective method for bringing out pertinent geographical and man-made features in order to detect changes.
Multispectral images allow the user to see beyond the "natural colour" limits of a photograph. Satellite sensors collect data into the infrared spectrum which can distinguish vegetation under stress, for example.

Species Identification

Classification and identification of land cover species can be done by assigning attributes to events on the ground using satellite multispectral data. Raw digital numbers are converted into standardized reflectance factors.

See Example

% Vegetation Coverage

Computing normalized vegetation indices for a region of interest from one year to the next can be used to quantify an increase or decrease in percent vegetation coverage.

See Example

Locating Surface Contaminants

Different combinations of discrete spectral bands are analyzed to locate otherwise invisible features. In this case, we target a large area to locate and quantify contaminants such as oil on surface.

See Example

Locating Seasonal Water Bodies

Absorption of the infrared band allows us to analyze underlying soil characteristics such that wet soils can be differentiated from dry soils.



© 2014 AKS Geoscience Inc.
Managing, planning and monitoring our natural resources relies on accurate information about regional land cover. The analysis of satellite imaging data is an effective method for bringing out pertinent geographical and man-made features in order to detect changes.

Multispectral images allow the user to see beyond the "natural colour" limits of a photograph. Satellite sensors collect data into the infrared spectrum which can distinguish vegetation under stress, for example.

Species Identification

Classification and identification of land cover species can be done by assigning attributes to events on the ground using satellite multispectral data. Raw digital numbers are converted into standardized reflectance factors.

See Example

% Vegetation Coverage

Computing normalized vegetation indices for a region of interest from one year to the next can be used to quantify an increase or decrease in percent vegetation coverage.

See Example

Locating Surface Contaminants

Different combinations of discrete spectral bands are analyzed to locate otherwise invisible features. In this case, we target a large area to locate and quantify contaminants such as oil on surface.

See Example

Locating Seasonal Water Bodies

Absorption of the infrared band allows us to analyze underlying soil characteristics such that wet soils can be differentiated from dry soils.

© 2014 AKS Geoscience Inc.