Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data

V.C. Andreo (Corresponding Author), M. Belgiu, Diana Brito Hoyos, F.B. Osei, Cecilia Provensal, A. Stein

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Abstract

Remote sensing data is widely used in numerous ecological applications. The Sentinel-2 satellites (S2 A and B), recently launched by the European Spatial Agency's (ESA), provide at present the best revisit time, spatial and spectral resolution among the freely available remote sensing optical data. In this study, we explored the potential of S2 enhanced spectral and spatial resolution to explain and predict mice abundances and distribution in border habitats of agroecosystems. We compared the predictive ability of different vegetation and water indices derived from S2 and Landsat 8 (L8) imagery. Our analyses revealed that the best predictor of mice abundance was L8-derived Enhanced Vegetation Index (EVI). S2-based indices, however, outperformed those computed from L8 bands for indices estimated simultaneously to mice trappings and for mice distribution models. Furthermore, indices including S2 red-edge bands were the best predictors of the distribution of the two most common rodent species in the ensemble. The findings of this study can be used as guidelines when selecting the sensors and vegetation variables to be included in more complex models aimed at predicting the distribution and risk of various vector-borne diseases, and especially rodents in other agricultural landscapes.

Original languageEnglish
Pages (from-to)157-167
Number of pages11
JournalEcological informatics
Volume51
Early online date12 Mar 2019
DOIs
Publication statusPublished - 1 May 2019

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rodent
Landsat
Mouse
rodents
Satellites
Remote sensing
Spectral Resolution
mice
Vegetation
spectral resolution
Spatial Resolution
Remote Sensing
remote sensing
Predictors
spatial resolution
Spectral resolution
Vegetation Index
vector-borne diseases
vegetation
agricultural ecosystem

Keywords

  • Agroecosystems
  • Disease ecology
  • Mice abundance
  • Red-edge bands
  • Remote sensing
  • Vegetation indices
  • ITC-ISI-JOURNAL-ARTICLE

Cite this

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title = "Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data",
abstract = "Remote sensing data is widely used in numerous ecological applications. The Sentinel-2 satellites (S2 A and B), recently launched by the European Spatial Agency's (ESA), provide at present the best revisit time, spatial and spectral resolution among the freely available remote sensing optical data. In this study, we explored the potential of S2 enhanced spectral and spatial resolution to explain and predict mice abundances and distribution in border habitats of agroecosystems. We compared the predictive ability of different vegetation and water indices derived from S2 and Landsat 8 (L8) imagery. Our analyses revealed that the best predictor of mice abundance was L8-derived Enhanced Vegetation Index (EVI). S2-based indices, however, outperformed those computed from L8 bands for indices estimated simultaneously to mice trappings and for mice distribution models. Furthermore, indices including S2 red-edge bands were the best predictors of the distribution of the two most common rodent species in the ensemble. The findings of this study can be used as guidelines when selecting the sensors and vegetation variables to be included in more complex models aimed at predicting the distribution and risk of various vector-borne diseases, and especially rodents in other agricultural landscapes.",
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Rodents and satellites : Predicting mice abundance and distribution with Sentinel-2 data. / Andreo, V.C. (Corresponding Author); Belgiu, M.; Hoyos, Diana Brito; Osei, F.B.; Provensal, Cecilia; Stein, A.

In: Ecological informatics, Vol. 51, 01.05.2019, p. 157-167.

Research output: Contribution to journalArticleAcademicpeer-review

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T2 - Predicting mice abundance and distribution with Sentinel-2 data

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AU - Belgiu, M.

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AU - Provensal, Cecilia

AU - Stein, A.

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