Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 7 Sayı: 3, 305 - 318, 06.12.2020
https://doi.org/10.30897/ijegeo.734872

Öz

Kaynakça

  • Berberoglu, S., Akin, A. (2009). Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. International Journal of Applied Earth Observation and Geoformation, 11, 46–53.
  • Buchhorn, M., Smets, B., Bertels, L., Lesiv, M., Tsendbazar, N. E., Herold, M., Fritz, S. (2019). Copernicus Global Land Service: Land Cover 100m: epoch 2015: Globe. Dataset of the global component of the Copernicus Land Monitoring Service 2019. DOI 10.5281/zenodo.3243509.
  • Campbell, J.B., Wynne, R.H. (2011). Introduction to Remote Sensing. New York: The Guilford Pres.
  • Chuvieco , E. (1995). Fundamentals of Remote Sensing (Fundamentos de Teledetección Espacial). Madrid: Ediciones Rialp S.A.
  • Giri, C. (2012). Brief Overview of Remote sensing of Land Cover. In: Giri, C. (Eds.), Remote Sensing of Land Use and Land Cover: Principles and Applications (pp. 3–12), New York, USA: Taylor & Francis Group.
  • Fundacite (1999). A proposal for sustainable tourist use of the Valencia Lake Basin (Propuesta de uso turístico sostenible de la Cuenca del Lago de Valencia). Retrieved 11 March 2018 from http://www.fundacitearagua.gob.ve/ pdf/turismoLago.pdf.
  • ICIMOD (2015). Land cover mapping using satellite data. Retrieved 24 July 2015 from https://www.servirglobal.net/ Portals/0/Downloads/2015Trainings/Land%20Cover%20Mapping_TrainingManual_UpdateApril%206.pdf.
  • Instituto de Hidrología, Meteorología y Estudios Ambientales, Instituto Geográfico Agustín Codazzi, Corporación Autónoma Regional del Río Grande de la Magdalena. (2008). Land Cover Map of the Magdalena-Cauca Basin: CORINE Land Cover Methodology adapted to Colombia, 1:100000 Scale (Mapa de Cobertura de la Tierra Cuenca Magdalena - Cauca: Metodología CORINE Land Cover adaptada para Colombia escala 1:100.000). Retrieved 19 August 2015 from http://documentacion.ideam.gov.co/openbiblio/bvirtual/021521/LIBROCORINEFINAL.pdf.
  • Jaimes, E. (2011). Solutions to Environmental Problems of Valencia Lake (Soluciones a la Problemática Ambiental del Lago de Valencia). Retrieved 15 April 2015 from http://rio20.net/wp-content/uploads/group-documents/28/1338751455-SolucionesalaProblemticaAmbientaldelLagodeValencia.pdf.
  • Mallinis, G., Georgiadis C. (2019). Editorial of Special Issue “Remote Sensing for Land Cover/Land Use Mapping at Local and Regional Scales”. MDPI Remote Sens, 11(19), 2202.
  • Mubako, S., Belhaj, O., Heyman, J., Hargrove, W., Reyes, C. (2018). Monitoring of Land Use/Land-Cover Changes in the Arid Transboundary Middle Rio Grande Basin Using Remote Sensing. MDPI Remote Sens, 10(12), 2005.
  • Navulur, K. (2007). Multispectral image analysis using the object-oriented paradigm. Boca Raton: CRC Press Taylor & Francis Group.
  • NCCOS. (2017). Sampling Design Tool for ArcGIS. Retrieved 15 December 2019 from https://coastalscience.noaa.gov/ project/sampling-design-tool-arcgis/.
  • Ngan Lam, N. (2008). Methodologies for Mapping Land Cover/Land Use and its Change. In: Liang, S. (Eds.), Advances in Land Remote: System, Modeling, Inversion and Application (pp. 341–367), Springer Science+Business Media B.V.
  • Olofsson, P., Foody, G.M., Herold, M., Stehman, S.V., Woodcock, C.E., Wulder, M.A. (2013). Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation, Remote Sensing of Environment, 129, 122-131, DOI: 10.1016/j.rse.2012.10.031.
  • Ormeño, M. (2002). Urban expansion on prime agricultural lands at the Valencia Lake depression (Expansión del uso sobre las tierras agrícolas de primera calidad en la depresión del Lago de Valencia: evolución y tendencias) (MSc thesis). Central University of Venezuela, Caracas, Venezuela.
  • Patil, M.B., Desai, C.G., Umrikar, B.N. (2012). Image classification tool for land use / land cover analysis: a comparative study of maximum likelihood and minimum distance method. International Journal of Geology, Earth and Environmental Sciences, 2(3), 189-196.
  • Pontes, A. (2013). Spatial and multitemporal analysis of land use and land Cover in Casa Nova municipality, Bahia, period 1996-2011 (Análise multitemporal e espacial do uso e cobertura das terras no município de Casa Nova, Bahia, no período de 1996 a 2011) (MSc thesis). State University Feira de Santana, Feira de Santana, Brazil.
  • Rogan, J., DongMe, C. (2004). Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 61, 301-325.
  • Rodríguez, A.F. (2011). A methodology to identify land use changes using object-oriented principles, study case: Villavicencio´s foothills, Meta state (Metodología para detectar cambios en el uso de la tierra utilizando los principios de la clasificación orientada a objetos, estudio de caso piedemonte de Villavicencio, Meta). Retrieved 11 November 2015 from http://bdigital.unal.edu.co/5241/1/andresfeliperodriguezvasquez.2011.pdf.
  • Tejada, A. (2006). Multitemporal analysis of land use changes through Landsat images. Study case: Zamora, Libertador, José Ángel Lamas and Sucre municipalities Aragua state (Análisis multitemporal de cambio de uso de la tierra mediante el empleo de imágenes del satélite Landsat. Caso de estudio: municipios Zamora, Libertador, José Ángel Lamas y Sucre del estado Aragua) (PGDip thesis). Central University of Venezuela, Caracas, Venezuela.
  • The Encyclopedia of Earth (2010). Land-use and land-cover change. Retrieved 06 January 2018 from https://editors.eol.org/eoearth/wiki/Land-use_and_land-cover_change.
  • Toure, S.; Stow, D.; Shih, H.; Weeks, J.; Lopez-Carr, D. (2018). Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis. Remote Sensing of Environment, 210, 259-268.
  • USGS. (2015). What are the best Landsat spectral bands for use in my research? Retrieved 21 July 2015 from https://www.usgs.gov/faqs/what-are-best-landsat-spectral-bands-use-my-research?qt-news_science_products=7#qt-news_science_products.
  • Wikipedia (2014). Zamora Municipality (Aragua State) (Municipio Zamora (Aragua)). Retrieved 31 March 2016 from https://es.wikipedia.org/wiki/Municipio_Zamora_(Aragua).
  • Wikipedia (2017). Endorheic basin. Retrieved 11 July 2018 from https://en.wikipedia.org/wiki/Endorheic_basin.
  • Xiaoxiaa, S., Jixiana, Z., Zhengjuna, L. (2004). An Object-Oriented Classification Method on High Resolution Satellite Data. Retrieved 15 January 2018 from http://test.ecognition.com/sites/default/files/316_b_4_6.pdf.

Shoreline evolution of Valencia lake and land use and land cover changes in Zamora municipality, Aragua state, Venezuela, period 1986-2016

Yıl 2020, Cilt: 7 Sayı: 3, 305 - 318, 06.12.2020
https://doi.org/10.30897/ijegeo.734872

Öz

This study was conducted to estimate the land use and land cover (LULC) changes from 1986 to 2016 at Zamora municipality in Venezuela. Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 (OLI/TIRS) images were obtained to evaluate the shoreline dynamics of the Valencia lake and the magnitude of LULC changes. The images were processed and classified through the object-oriented approach in eCognition Developer 8, for collecting ground-truth data was used Google Earth Engine Python API and Excel software for accuracy assessment. ArcGIS 10.4 and QGIS 2.18 were employed for spatial analysis. It was found that scrublands and farmlands experienced important reductions in area, 13029 ha, and 818 ha respectively, whereas forest, built-up, and water bodies classes showed remarkable increments in area, 11792 ha, 1482 ha, and 634 ha correspondingly. The Valencia lake shoreline underwent an upward trend wherein more than 50% of its raising occurred during the last two study years (2003-2016). It was also observed that land use and land cover changes prompted conflicts with other land uses, 337 ha of lands with high potential for crop yields were affected by the lake shoreline increment and built-up areas grow at a rate of 81 ha /yr. for the last two study years (2003-2016) mainly on lands with high potential for agricultural use.

Kaynakça

  • Berberoglu, S., Akin, A. (2009). Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. International Journal of Applied Earth Observation and Geoformation, 11, 46–53.
  • Buchhorn, M., Smets, B., Bertels, L., Lesiv, M., Tsendbazar, N. E., Herold, M., Fritz, S. (2019). Copernicus Global Land Service: Land Cover 100m: epoch 2015: Globe. Dataset of the global component of the Copernicus Land Monitoring Service 2019. DOI 10.5281/zenodo.3243509.
  • Campbell, J.B., Wynne, R.H. (2011). Introduction to Remote Sensing. New York: The Guilford Pres.
  • Chuvieco , E. (1995). Fundamentals of Remote Sensing (Fundamentos de Teledetección Espacial). Madrid: Ediciones Rialp S.A.
  • Giri, C. (2012). Brief Overview of Remote sensing of Land Cover. In: Giri, C. (Eds.), Remote Sensing of Land Use and Land Cover: Principles and Applications (pp. 3–12), New York, USA: Taylor & Francis Group.
  • Fundacite (1999). A proposal for sustainable tourist use of the Valencia Lake Basin (Propuesta de uso turístico sostenible de la Cuenca del Lago de Valencia). Retrieved 11 March 2018 from http://www.fundacitearagua.gob.ve/ pdf/turismoLago.pdf.
  • ICIMOD (2015). Land cover mapping using satellite data. Retrieved 24 July 2015 from https://www.servirglobal.net/ Portals/0/Downloads/2015Trainings/Land%20Cover%20Mapping_TrainingManual_UpdateApril%206.pdf.
  • Instituto de Hidrología, Meteorología y Estudios Ambientales, Instituto Geográfico Agustín Codazzi, Corporación Autónoma Regional del Río Grande de la Magdalena. (2008). Land Cover Map of the Magdalena-Cauca Basin: CORINE Land Cover Methodology adapted to Colombia, 1:100000 Scale (Mapa de Cobertura de la Tierra Cuenca Magdalena - Cauca: Metodología CORINE Land Cover adaptada para Colombia escala 1:100.000). Retrieved 19 August 2015 from http://documentacion.ideam.gov.co/openbiblio/bvirtual/021521/LIBROCORINEFINAL.pdf.
  • Jaimes, E. (2011). Solutions to Environmental Problems of Valencia Lake (Soluciones a la Problemática Ambiental del Lago de Valencia). Retrieved 15 April 2015 from http://rio20.net/wp-content/uploads/group-documents/28/1338751455-SolucionesalaProblemticaAmbientaldelLagodeValencia.pdf.
  • Mallinis, G., Georgiadis C. (2019). Editorial of Special Issue “Remote Sensing for Land Cover/Land Use Mapping at Local and Regional Scales”. MDPI Remote Sens, 11(19), 2202.
  • Mubako, S., Belhaj, O., Heyman, J., Hargrove, W., Reyes, C. (2018). Monitoring of Land Use/Land-Cover Changes in the Arid Transboundary Middle Rio Grande Basin Using Remote Sensing. MDPI Remote Sens, 10(12), 2005.
  • Navulur, K. (2007). Multispectral image analysis using the object-oriented paradigm. Boca Raton: CRC Press Taylor & Francis Group.
  • NCCOS. (2017). Sampling Design Tool for ArcGIS. Retrieved 15 December 2019 from https://coastalscience.noaa.gov/ project/sampling-design-tool-arcgis/.
  • Ngan Lam, N. (2008). Methodologies for Mapping Land Cover/Land Use and its Change. In: Liang, S. (Eds.), Advances in Land Remote: System, Modeling, Inversion and Application (pp. 341–367), Springer Science+Business Media B.V.
  • Olofsson, P., Foody, G.M., Herold, M., Stehman, S.V., Woodcock, C.E., Wulder, M.A. (2013). Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation, Remote Sensing of Environment, 129, 122-131, DOI: 10.1016/j.rse.2012.10.031.
  • Ormeño, M. (2002). Urban expansion on prime agricultural lands at the Valencia Lake depression (Expansión del uso sobre las tierras agrícolas de primera calidad en la depresión del Lago de Valencia: evolución y tendencias) (MSc thesis). Central University of Venezuela, Caracas, Venezuela.
  • Patil, M.B., Desai, C.G., Umrikar, B.N. (2012). Image classification tool for land use / land cover analysis: a comparative study of maximum likelihood and minimum distance method. International Journal of Geology, Earth and Environmental Sciences, 2(3), 189-196.
  • Pontes, A. (2013). Spatial and multitemporal analysis of land use and land Cover in Casa Nova municipality, Bahia, period 1996-2011 (Análise multitemporal e espacial do uso e cobertura das terras no município de Casa Nova, Bahia, no período de 1996 a 2011) (MSc thesis). State University Feira de Santana, Feira de Santana, Brazil.
  • Rogan, J., DongMe, C. (2004). Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 61, 301-325.
  • Rodríguez, A.F. (2011). A methodology to identify land use changes using object-oriented principles, study case: Villavicencio´s foothills, Meta state (Metodología para detectar cambios en el uso de la tierra utilizando los principios de la clasificación orientada a objetos, estudio de caso piedemonte de Villavicencio, Meta). Retrieved 11 November 2015 from http://bdigital.unal.edu.co/5241/1/andresfeliperodriguezvasquez.2011.pdf.
  • Tejada, A. (2006). Multitemporal analysis of land use changes through Landsat images. Study case: Zamora, Libertador, José Ángel Lamas and Sucre municipalities Aragua state (Análisis multitemporal de cambio de uso de la tierra mediante el empleo de imágenes del satélite Landsat. Caso de estudio: municipios Zamora, Libertador, José Ángel Lamas y Sucre del estado Aragua) (PGDip thesis). Central University of Venezuela, Caracas, Venezuela.
  • The Encyclopedia of Earth (2010). Land-use and land-cover change. Retrieved 06 January 2018 from https://editors.eol.org/eoearth/wiki/Land-use_and_land-cover_change.
  • Toure, S.; Stow, D.; Shih, H.; Weeks, J.; Lopez-Carr, D. (2018). Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis. Remote Sensing of Environment, 210, 259-268.
  • USGS. (2015). What are the best Landsat spectral bands for use in my research? Retrieved 21 July 2015 from https://www.usgs.gov/faqs/what-are-best-landsat-spectral-bands-use-my-research?qt-news_science_products=7#qt-news_science_products.
  • Wikipedia (2014). Zamora Municipality (Aragua State) (Municipio Zamora (Aragua)). Retrieved 31 March 2016 from https://es.wikipedia.org/wiki/Municipio_Zamora_(Aragua).
  • Wikipedia (2017). Endorheic basin. Retrieved 11 July 2018 from https://en.wikipedia.org/wiki/Endorheic_basin.
  • Xiaoxiaa, S., Jixiana, Z., Zhengjuna, L. (2004). An Object-Oriented Classification Method on High Resolution Satellite Data. Retrieved 15 January 2018 from http://test.ecognition.com/sites/default/files/316_b_4_6.pdf.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Abraham Coiman 0000-0002-3674-0743

Yayımlanma Tarihi 6 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 7 Sayı: 3

Kaynak Göster

APA Coiman, A. (2020). Shoreline evolution of Valencia lake and land use and land cover changes in Zamora municipality, Aragua state, Venezuela, period 1986-2016. International Journal of Environment and Geoinformatics, 7(3), 305-318. https://doi.org/10.30897/ijegeo.734872