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A new algorithm to determine the spatial coverage of carob (Neltuma piurensis) by ecological floor: Chira-Piura River Basin case

  • Universitat Politecnica de Valencia
  • Universidad Nacional de San Cristóbal de Huamanga
  • Universidad Nacional Mayor de San Marcos
  • Universidad Nacional de Frontera

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The carob tree (Neltuma piurensis) is characteristic of the forests of northern Peru, withstand extreme climatic events such as “El Niño” and droughts, in addition to the influence of climate change, affecting its distribution of coverage at different altitudes. The objective of this article is to propose an algorithm to determine the Spatial Coverage of Carob by Ecological Floor (SCCEF) in the Chira-Piura River Basin, Peru. The method used consisted of measuring the spectral signature of the carob tree with the FieldSpec4 spectroradiometer at three sampling points corresponding to the localities of Cardal, Lancones and Macacará, located on different ecological floors. The comparison of the spectral signatures for Cardal and Lancones gives an R2 = 0.9459, for Cardal and Macacará an R2 = 0.9866 and for Lancones with Macacará an R2 = 0.9469, which allows an accurate identification of the carob tree in the satellite images. The Mann-Whitney-Wilcoxon U test validates the spectral signatures extracted from the satellite images with the spectral signatures measured with the spectroradiometer at Lancones (p-value = 0.9705 >α = 0.05), Cardal (p-value = 0.9819 > 0.05) and Macacará (p-value = 0.7959 > 0.05). The results show that the SCCEF in the Tropical (T) ecological floor represents 1.55 % of the T area, in the Tropical Pre-Montane (TPM) ecological floor it is 1.47 % of the TPM area, in the Low Tropical Montane (LTM) ecological floor it is 0.78 % of the LTM area, in the Montane (M) ecological floor it is 0.69 % of the M area and in the Paramo (P) ecological floor it is 0.35 % of the P area. Therefore, the SCCEF decreases in each ecological floor as its altitude increases.

Original languageEnglish
Article number101363
JournalRemote Sensing Applications: Society and Environment
Volume36
DOIs
StatePublished - Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Carob tree
  • Chira-piura river basin
  • Ecological floor
  • Neltuma piurensis
  • Sentinel 2
  • Spectral signature

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