← Search

Archive · collection · 2018

Assessment of classification accuracy of habitat types in UAV aerial photos around American kestrel nest box sites in Massachusetts, USA

Listed in PANGAEA

Description

This data collection contains confusion matrices evaluating the accuracy of supervised classification of habitat types in UAV aerial photos around American kestrel nest sites in Massachusetts, USA as well as results from confusion matrices of supervised classification and from multiple independent observers classifying one aerial image of an American kestrel nest box site using ENVI.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Ecological applications 70% · Image 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
PANGAEAoai:pangaea.de:doi:10.1594/PANGAEA.88466914 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · PANGAEAconnector:pangaea@1.0.0
concepts[field].anzsrc:group:4102enrichment · PANGAEAtaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · PANGAEAconnector:pangaea@1.0.0
concepts[modality].local:modality:imageenrichment · PANGAEAkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/description
licensesource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/rights
publication_datesource · PANGAEAconnector:pangaea@1.0.0
spatialsource · PANGAEAconnector:pangaea@1.0.0
titlesource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/title