Airborne sensors and geographic information system for establishing a permanent vegetation limit in Colombian Littorals

Authors

  • Mary Luz Cañón Páez Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)
  • Fernando Afanador Franco Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)

DOI:

https://doi.org/10.26640/22159045.153

Keywords:

Airborne sensor, Geographic Information System (GIS), Digital aerial photography, LIDAR, Permanent vegetation, Littoral administration

Abstract

The determination of the permanent vegetation limit on the upper beach area was under taken with data provided by the LIDAR sensor (Light Detection And Ranging), together with digital metric aerial photographs of the La Boquilla North sector, Department of Bolivar, taken during December 2005. The objective of this research was to establish and to apply a methodology for the establishment of the permanent vegetation limit, as fundamental element for determining the beach limit toward the continent in the Colombian coasts, according to Decree 2324, in connection with the delimitation of the jurisdiction of National Maritime Authority DIMAR-and the conceptual model for determining the jurisdiction adopted by the above mentioned institution. The relevance of the investigation was focused on the use of the available spatial information from airborne sensors together with a Geographic Information System-ArcGIS 9.0, for the generation of permanent vegetation maps in extensive areas of the Colombian Caribbean coast, as an element that contributes to the technical determination of National Maritime Authority limit and to the control and administration of national coast areas.

The work methodology involved the filtering and classification of the raw data provided by the LIDAR sensor, as basis for the establishment of height strata vegetation in the study area; the use of metric aerial photographs of the same sector as orientation, definition and geo reference elements; vegetation profile definition; adoption as reference, of the distribution of vegetable species in the beaches for tropical regions out lined by UNESCO in 1997 and finally, the use of the facilities of spatial analysis of ArcGIS 9.0 for the classification and mapping of permanent vegetation.

The application of the proposed methodology allowed the reduction of time and costs of field surveying and digital processing data, since the amount of LIDAR supplied data, against other conventional methods to obtain spatial information about of vegetation structure, are much higher and are taken much more quick, in addition to providing higher work facility. Also, it was possible to establish that for the north region of the study area, the vegetation of the place is about permanent approximately 20m from the coastline toward the continent.

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Author Biographies

  • Mary Luz Cañón Páez, Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)

    Centro de Investigaciones Oceanográficas e Hidrográficas CIOH, Isla Manzanillo, Cartagena de Indias D.T. y C.

  • Fernando Afanador Franco, Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)

    Centro de Investigaciones Oceanográficas e Hidrográficas CIOH, Isla Manzanillo, Cartagena de Indias D.T. y C.

References

[1] Sánchez H, Alvarez R, Pinto F, Sánchez A, Pino J, García I, Acosta M. 1997. Diagnostico y zonificación preliminar de los manglares del Caribe de Colombia. Proyecto PD 171-91 Rev 2 (f) Fase 1. Colombia: Ministerio del Medio Ambiente - Organización Internacional de Maderas Tropicales; 1997.

[2] Gueudet P, Maidment D, Neuenschwander A, Wells G. Influence of the post-sapacing density of the lidar derived DEM on flood modeling. ASPRS Annual Conference Proceedings; 2004. Denver, USA.

[3] Bettina Petzold, Peter Reiss, Wolfgang Stossel. Laser scanning-Surveying and mapping agencies are using a new technique for the derivation of digital terrain models. ISPRS Journal of Photogrammetry & Remote Sensing. 1999; 54: 95104.

[4] Popescu Sorin C. Estimating Plot-Level Forest Biophysical Parameters Using small-foot print Airborne Lidar Measurements [Ph D Thesis] Virginia: Virginia Tech; 2002

[5] Arias F. Colombia patria de tres mares. Condiciones oceanógraficas del Caribe colombiano. Expo Lisboa/98; 1998; Lisboa, Portugal.

[6] Douglas T, Evans D, Belli K, Roberts S. Classification of Pine and hardwoodby the density and intensity of lidar canopy returns. ASPRS Annual Conference Proceedings; 2004; Denver, USA.

[7] CIOH-CARDIQUE. Informe final proyecto “Caracterización y diagnostico de la zona costera desde Galerazamba hasta Bahía de Barbacoas y Censo franja Litoral”. Convenio de cooperación entre el Centro de Investigaciones Oceanógraficas e Hidrográficas y la Corporación Autónoma regional del Canal del Dique. Cartagena: 1998.

[8] Molina A., A. Pelgrain, J. Suzunagay L. Giraldo. Comportamiento de la dinámica marina del sector Costero entre Galerazamba y Cartagena. Boletín Científico CIOH. 1996; 17: 73-78.

[9] Friker P, Gervaix F, Roth R, Lliren P, Delgado J, Cardenal J. Utilización de sensores aerotransportados para la generación de MDT y ortofotografías LH ADS40 y LH ASLS40. XIV Congreso Internacional de Ingeniería Grafica; 2002; Jun 5-7; Santander, España.

[10] Villarreal H, Álvarez M, Córdoba S, Escobar F, Fagua G, Gast F, Mendoza H, Ospina M, Umaña A. Manual de métodos para el desarrollo de inventarios de biodiversidad. Colombia: Instituto de investigaciones de recursos Biológicos Alexander von Humboldt; 2004.

[11] Romero R. Flora del Centro de Bolívar. Colombia: Universidad Nacional de Colombia lnstituto de Ciencias Naturales; 1965.

[12] Komar Paul. Beach Processes and Sedimentation. Prentice Hall; 1998.

[13] Chuvieco Emilio. Teledetección Ambiental: La observación de la tierra desde el espacio. Barcelona: Editorial Ariel; 2002.

[14] Ruiz A, Komus W. Experiencias y aplicaciones de LIDAR. Publicaciones Instituto Cartográfico de Cataluña. 2004.

[15] Romero R. Plantas del Magdalena. Colombia: Universidad Nacional de Colombia lnstituto de Ciencias Naturales; 1966.

[16] Andrade C. The circulation and variability of the Colombian Basinin the Caribbean Sea [Ph D Thesis]. Wales: University of Wales; 2000.

[17] IGAC. Adopción del marcogeocéntrico nacional de referencia MAGNA SIRGAS como datum oficial de Colombia. Bogota: 2004.

[18] Carson W, Andersen H, Reutebuch S, Mc Gaughe y R. LIDAR Aplications in forestry an Overview. ASPRS Annual Conference Proceedings; 2004; Denver, USA.

[19] David LA, Gaceau and Ross A. Hill. Quantifying canopy height underestimation by laser pulse penetration in small footprint airborne laser scanning data. Canadian Journal of Remote Sensing. 2003; 29 (5): 650-657.

[20] Fujisaki I, Evans D. Forest stand classification using airbone lidar and landsat data:comparison of supervised classification and rule based classification using logist regression.ASPRS Annual Conference Proceedings; 2004; Denver,USA.

[21] González F, Diaz J, Lowy P. Flora ilustrada de San Andrés y Providencia, con énfasis en las plantas útiles. Bogotá; 1995.

[22] Gómez A, Delgado J, Pérez N. Obtención de DTM y DSM mediante Tecnología LIDAR, Aplicación al Rio Ebro.2004.

[23] Hiratama, Y. The effects of footprint size and sampling density in airborne laser scanning to extract individual trees in Mountainous terrain. Japan: Kluber Academic Publishers; 2003.

[24] Bryan J, David L, Rabine B, Michelle A Hofton. The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography. ISPRS Journal of Photogrammetry & Remote Sensing. 1999: 115 122.

[25] Komus W, Ruiz A, Boran A, Tayala J. Strip Adjustment of LIDAR Data. V semana Geomatica; 2003. Barcelona, España.

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Published

2006-12-01

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Section

RESEARCH ARTICLE

How to Cite

Airborne sensors and geographic information system for establishing a permanent vegetation limit in Colombian Littorals. (2006). CIOH Scientific Bulletin, 24, 107-125. https://doi.org/10.26640/22159045.153

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