SciELO - Scientific Electronic Library Online

 
vol.27 número1Disponibilidad hídrica según sectores de riego en la cuenca del río Virú, PerúEducación Ambiental para el poblador del distrito de Casa Grande en el manejo de residuos sólidos urbanos entre julio a diciembre del año 2019 índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

Compartir


Arnaldoa

versión impresa ISSN 1815-8242versión On-line ISSN 2413-3299

Resumen

FLORES, Nathalie; CASTRO, Irene  y  APONTE, Héctor. Evaluation of the vegetation units in Los Pantanos De Villa (Lima, Peru) using geographical information systems and teledetection. Arnaldoa [online]. 2020, vol.27, n.1, pp.303-321. ISSN 1815-8242.  http://dx.doi.org/10.22497/arnaldoa.271.27119.

Coastal wetlands of Peru are important because of the multiple services they provide to surrounding towns. To protect these ecosystems, it is important to monitor their areas and the changes that occurred in them. Los Pantanos de Villa is a Ramsar wetland in the city of Lima, and, like many coastal wetlands in the region, has undergone multiple natural and anthropogenic changes. In this work, high and medium resolution satellite images were used (such as WorldView 3 images dated May 2018 and CBERS2, 2B and 4 from 2004, 2008 and 2018) with the objective of defining, identifying and characterizing vegetation units and the analysis of changes in vegetation cover in the area using the NDVI (Normalized Difference Vegetation Index). The methodology included obtaining and acquiring satellite images, basic and thematic cartographic information. These were sometimes a geometric correction, reality techniques and algorithms of classification and obtaining of the NDVI; all this using the ARGIS software and making multiple field outputs. As a result, 8 vegetation units were identified that correspond to the gramadal, totoral, intervened area-bodies of water, juncal, short-cut, aquatic, carrizal, and salicornial. The result obtained from the NDVI analysis indicates that the area without vegetation went from occupying 1.96 ha in 2004 to occupying 38.75ha in 2018; the mixed vegetation class went from 100.24 ha in 2004 to 148,344 ha in 2018; Dense vegetation class went from 130,146 ha to 40,285 ha in 2018. The increase in the area without vegetation is a sign of how the change in land use, due to different human activities, can affect a coastal wetland.

Palabras clave : GIS; land use; NDVI; Ramsar; wetland.

        · resumen en Español     · texto en Español     · Español ( pdf )