Image Analysis of a Sea Turtle Nesting Beach Using Unmanned Aerial Vehicles (UAVs)

J. G.Escobar Flores, Sarahi Sandoval, Ingmar Sosa-Cornejo

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

3 Scopus citations

Abstract

The purpose of the current study is to use UAVS to study sea turtle nesting. Orthomosaics with 1.47-cm resolution were generated over line 40 km long by 80 meters wide of the sites Lepidochelys olivacea nesting grounds on a beach south of Sinaloa, Mexico. The orthomosaics were employed to classify the percentage of vegetation cover, and digital elevation models were also generated to estimate slope, curvature, roughness and aspect; physical variables that are related to nesting sites. The values of the variables corresponding to each of the 1,200 nests recorded in the nesting area were determined through cross-tabulation with a GIS. A generalized linear model was applied, which showed that sites with a northwest orientation and no vegetation were significant and coincided with a nest frequency of 82%. This type of model can enable better understanding of coastal topographic change and significantly improve the success rate of coastal environmental projects of this type, which can contribute to preventing some of the impact on turtle nesting of hotel developments, which are about to begin construction in the study area.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6313-6316
Number of pages4
ISBN (Electronic)9781728163741
DOIs
StatePublished - 26 Sep 2020
Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
Duration: 26 Sep 20202 Oct 2020

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/TerritoryUnited States
CityVirtual, Waikoloa
Period26/09/202/10/20

Keywords

  • GIS
  • México
  • Remoted Pilot Aircraft
  • Sinaloa
  • habitat
  • nesting

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