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Analysis of Riparian forest buffers dynamics in Colombian basins by Landsat Time Series

  • Universidad del Cauca
  • Fondazione Bruno Kessler
  • University of Trento

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

1 Scopus citations

Abstract

Using remote sensing data, it is now possible to obtain information that allows for the identification and study of riparian forest areas. Knowing their distribution, structure and their buffers is of great relevance. This is because Riparian forests help to determine the capacity of a hydrologic system to provide a service, as well as its capacity to attenuate the effects of climate change. In this paper, we combine information from images acquired by the Landsat series with information extracted from digital elevation maps (DEM) in order to identify and study the temporal dynamics of the riparian forest buffers. This information is extracted from hydrographic basins of Colombia. The analysis carried on is in terms of the kind of land cover present in the buffers, the use of different buffer widths and the influence of the altitude and slopes. Results were compared with in-situ data collected during different campaigns, as well as with information acquired by photointerpretation. Final analysis showed that the studied region has suffered critical patterns of use. This leads to the need of attention in order to reduce the high speed with which the problem is occurring.

Translated title of the contributionAnálisis de la dinámica de los amortiguadores forestales riparios en cuencas colombianas mediante series de tiempo Landsat
Original languageEnglish
Title of host publication2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538633274
DOIs
StatePublished - 12 Sep 2017
Externally publishedYes
Event9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017 - Bruges, Belgium
Duration: 27 Jun 201729 Jun 2017

Publication series

Name2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017

Conference

Conference9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017
Country/TerritoryBelgium
CityBruges
Period27/06/1729/06/17

UN SDGs

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

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Basins management
  • Land cover dynamics
  • Landsat Time Series
  • Riparian forest buffers

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