Can training data counteract topographic effects in supervised image classification? A sensitivity analysis in the Cantabrian Mountains (Spain)
Author:
Affiliation:
1. Environmental Hydraulics Institute “IH Cantabria”, Parque Científico y Tecnológico de Cantabria, Santander, Spain
Funder
Ramon y Cajal
National R + D + I
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1489163
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3. Evaluation and parameterization of ATCOR3 topographic correction method for forest cover mapping in mountain areas
4. Operational Two-Stage Stratified Topographic Correction of Spaceborne Multispectral Imagery Employing an Automatic Spectral-Rule-Based Decision-Tree Preliminary Classifier
5. Remote sensing and geomorphometry for studying relief production in high mountains
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