Mostrar el registro sencillo del ítem

resumen

Resumen
Land transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the MapBiomas initiative to characterize land use land cover (LULC) change in the Gran Chaco between 2010 and 2017. Specifically we sought to a) quantify annual [ver mas...]
dc.contributor.authorBanchero, Santiago
dc.contributor.authorDe Abelleyra, Diego
dc.contributor.authorVeron, Santiago Ramón
dc.contributor.authorMosciaro, Maria Jesus
dc.contributor.authorArevalos, Fabiana
dc.contributor.authorVolante, Jose Norberto
dc.date.accessioned2020-10-27T11:32:11Z
dc.date.available2020-10-27T11:32:11Z
dc.date.issued2020-03-24
dc.identifier.isbn978-1-7281-4350-7
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8133
dc.description.abstractLand transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the MapBiomas initiative to characterize land use land cover (LULC) change in the Gran Chaco between 2010 and 2017. Specifically we sought to a) quantify annual changes in the main LULC classes; b) identify the main LULC transitions and c) relate these transitions to current land use policies. Within the MapBiomas project, Landsat based annual maps depicting natural woody vegetation, natural herbaceous vegetation, dispersed natural vegetation, cropland, pastures, bare areas and water. We used Random Forest machine learning algorithms trained by samples produced by visual interpretation of high resolution images. Annual overall accuracy ranged from 0,73 to 0,74. Our results showed that, between 2010 and 2017, agriculture and pasture lands increased ca. 3.7 Mha while natural forestry decreased by 2.3 Mha. Transitions from forests to agriculture accounted for 1.14% of the overall deforestation while 86% was associated to pastures and natural herbaceous vegetation. In Argentina, forest loss occurred primarily (39%) on areas non considered by the territorial planning Law, followed by medium (33%), high (19%) and low (9%) conservation priority classes. These results illustrate the potential contribution of remote sensing to characterize complex human environmental interactions occurring over extended areas and timeframes.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherLAGIRSes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceLAGIRS 2020 Conferencia Latinoamericana de Teledetección GRSS & ISPRS, 22 al 26 de marzo de 2020, Santiago de Chile p. 511-514
dc.subjectUtilización de la Tierraes_AR
dc.subjectLand Useeng
dc.subjectTeledetecciónes_AR
dc.subjectRemote Sensingeng
dc.subjectCobertura de Suelos
dc.subjectLand Covereng
dc.subject.otherRegión Chaqueñaes_AR
dc.subject.otherGran Chaco, Argentinaes_AR
dc.titleRecent land use and land cover change dinamics in the Gran Chaco Americanoes_AR
dc.typeinfo:ar-repo/semantics/documento de conferenciaes_AR
dc.typeinfo:eu-repo/semantics/conferenceObjectes_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.filFil: Banchero, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: de Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Verón, S.R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Arevalos, F. Asociación Guyra Paraguay; Paraguayes_AR
dc.description.filFil: Volante, J.N. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentinaes_AR
dc.description.filFil: Mosciaro, M.J. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina
dc.subtypeponencia


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

common

Mostrar el registro sencillo del ítem

info:eu-repo/semantics/openAccess
Excepto si se señala otra cosa, la licencia del ítem se describe como info:eu-repo/semantics/openAccess