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Main Authors: Kamm, Matthew, Reed, J Michael
Format: Dataset Open Access
Language:en
Published: PANGAEA 2018
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Online Access:https://doi.org/10.1594/PANGAEA.884609
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author Kamm, Matthew
Reed, J Michael
author_facet Kamm, Matthew
Reed, J Michael
collection Datos científicos de ciencias marinas y ambientales
contents These data are the overall accuracies and kappa coefficients of several different supervised classification operations using program ENVI to identify areas of Grass, Herbaceous growth, Woody growth, Bare Ground, and Human-modified habitat in UAV aerial photos taken around 12 American Kestrel nest box sites located around Massachusetts, USA. Sites are numbered 1-12. "Self.Acc" or "Self.Kap" indicate overall accuracy or kappa coefficients when the classifier was trained with image data from the site itself. "4.Kap" or "9.Acc" indicate results when the classifier was trained with image data from Site 4 or Site 9, rather than the site itself. The "Kernels" tabs contain results using Classification Aggregation with a minimum kernel size, in pixels, indicated by the column titles, ex: "768.Kap" is the kappa coefficient when the minimum kernel size in ENVI Classification Aggregation was set to 768 pixels.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_884609
institution PANGAEA
language en
publishDate 2018
publisher PANGAEA
record_format pangaea
spellingShingle Results from confusion matrices of supervised classification of habitat at 12 American kestrel nest sites in Massachusetts
Kamm, Matthew
Reed, J Michael
Massachusetts; MULT; Multiple investigations; United States; US-MA
These data are the overall accuracies and kappa coefficients of several different supervised classification operations using program ENVI to identify areas of Grass, Herbaceous growth, Woody growth, Bare Ground, and Human-modified habitat in UAV aerial photos taken around 12 American Kestrel nest box sites located around Massachusetts, USA. Sites are numbered 1-12. "Self.Acc" or "Self.Kap" indicate overall accuracy or kappa coefficients when the classifier was trained with image data from the site itself. "4.Kap" or "9.Acc" indicate results when the classifier was trained with image data from Site 4 or Site 9, rather than the site itself. The "Kernels" tabs contain results using Classification Aggregation with a minimum kernel size, in pixels, indicated by the column titles, ex: "768.Kap" is the kappa coefficient when the minimum kernel size in ENVI Classification Aggregation was set to 768 pixels.
title Results from confusion matrices of supervised classification of habitat at 12 American kestrel nest sites in Massachusetts
topic Massachusetts; MULT; Multiple investigations; United States; US-MA
url https://doi.org/10.1594/PANGAEA.884609