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Jari Varjo (email)

Change detection and controlling forest information using multi-temporal Landsat TM imagery

Varjo J. (1997). Change detection and controlling forest information using multi-temporal Landsat TM imagery. Acta Forestalia Fennica no. 258 article id 7524. https://doi.org/10.14214/aff.7524

Abstract

A method was developed for relative radiometric calibration of single multitemporal Landsat TM image, several multitemporal images covering each other, and several multitemporal images covering different geographical locations. The radiometrically calibrated different images were used for detecting rapid changes on forest stands. The nonparametric Kernel method was applied for change detection. The accuracy of the change detection was estimated by inspecting the image analysis results in field.

The change classification was applied for controlling the quality of the continuously updated forest stand information. The aim was to ensure that all the manmade changes and any forest damages were correctly updated including the attribute and stand delineation information. The image analysis results were compared with the registered treatments and the stand information base. The stands with discrepancies between these two information sources were recommended to be field inspected.

Keywords
forest inventory; change detection; continuous updating; satellite image; radiometric calibration; stand information; nonparametric discrimination

Published in 1997

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Available at https://doi.org/10.14214/aff.7524 | Download PDF

Creative Commons License CC BY-SA 4.0

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