Vi bøger
Levering: 1 - 2 hverdage
Forlænget returret til d. 31. januar 2025

ANALYSIS OF LAND USE AND LAND COVER IN THE UPPER WATERSHED - Amanda Rezende Moreira - Bog

Bag om ANALYSIS OF LAND USE AND LAND COVER IN THE UPPER WATERSHED

Through the inadequate anthropic actions over the years in the hydrographic basin of the upper course of the Paraíba River, where it has been undergoing changes in the ecosystem. Geotechnologies have contributed in the researches, providing the incorporation of information of the natural systems. The objective of this work was to classify the current land use and land cover. Five supervised classification classifiers available on Google Earth Engine were used. The results showed that two classifiers based on Decision Tree Classification and Regression Trees (CART) and Random Forest (RF) performed excellent results, however the classifier (CART) stood out for both the best indexes and visual inspection. GEE proved to be a very effective platform for mapping land use and land cover in the area.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9786206052845
  • Indbinding:
  • Paperback
  • Sideantal:
  • 52
  • Udgivet:
  • 28. juni 2023
  • Størrelse:
  • 150x4x220 mm.
  • Vægt:
  • 96 g.
  • 1-2 uger.
  • 14. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
  •  

    Kan ikke leveres inden jul.
    Køb nu og print et gavebevis

Normalpris

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af ANALYSIS OF LAND USE AND LAND COVER IN THE UPPER WATERSHED

Through the inadequate anthropic actions over the years in the hydrographic basin of the upper course of the Paraíba River, where it has been undergoing changes in the ecosystem. Geotechnologies have contributed in the researches, providing the incorporation of information of the natural systems. The objective of this work was to classify the current land use and land cover. Five supervised classification classifiers available on Google Earth Engine were used. The results showed that two classifiers based on Decision Tree Classification and Regression Trees (CART) and Random Forest (RF) performed excellent results, however the classifier (CART) stood out for both the best indexes and visual inspection. GEE proved to be a very effective platform for mapping land use and land cover in the area.

Brugerbedømmelser af ANALYSIS OF LAND USE AND LAND COVER IN THE UPPER WATERSHED



Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.