Using near-surface observations for optimizing the timing of overhead image acquisition for applied mapping of woody vegetation species

Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a phenology-based approach for optimizing the number and timing of unmanned aerial vehicle imagery acquisition, based on a priori near-surface observations. A ground-placed camera was used for generating annual time series of spectral indices in four different East Mediterranean sites. The time series dataset represented 1852 individuals of 12 common vegetation species. Feature selection was used for identifying the optimal dates for species classification. A UAV was flown for acquiring five overhead multiband orthomosaics, based on the five optimal dates identified in the feature selection of the near-surface time series of the previous year. An object-based classification was used for species classification, and resulted in an average overall accuracy of 85% and an average Kappa coefficient of 0.82. This cost-effective approach has high potential for detailed vegetation mapping, regarding the accessibility of UAV-produced time series, compared to hyper-spectral imagery with high spatial resolution which is more expensive and involves great difficulties in implementation over large areas.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5398-5401
Number of pages4
ISBN (Electronic)9781538671504
DOIs
StatePublished - 31 Oct 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE

Keywords

  • Feature selection
  • Mediterranean vegetation
  • Near-surface observations
  • Unmanned aircraft vehicles
  • Vegetation species classification

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