Temporally - consistent annual land cover from landsat time series in the southern cone of South America

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Fil: Graesser, Jordan. Boston University. Department of Earth and Environment. Boston, USA.

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Detalles Bibliográficos
Autores principales: Graesser, Jordan, Stanimirova, Radost, Tarrio, Katelyn, Copati, Esteban Julián, Volante, José Norberto, Verón, Santiago Ramón, Banchero, Santiago, Elena, Hernán, Abelleyra, Diego de, Friedl, Mark A.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
LANDSAT
TIME SERIES
LAND COVER
CONDITIONAL RANDOM FIELDS
SOUTHERN CONE
Acceso en línea:http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022graesser
Aporte de:
FAUBA Digital - Facultad de Agronomía (UBA) de Universidad de Buenos Aires
id snrd:2022graesser
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spelling snrd:2022graesser2026-03-26T10:27:42Z Graesser, Jordan Stanimirova, Radost Tarrio, Katelyn Copati, Esteban Julián Volante, José Norberto Verón, Santiago Ramón Banchero, Santiago Elena, Hernán Abelleyra, Diego de Friedl, Mark A. 2022 Fil: Graesser, Jordan. Boston University. Department of Earth and Environment. Boston, USA. Fil: Stanimirova, Radost. Boston University. Department of Earth and Environment. Boston, USA. Fil: Tarrio, Katelyn. Boston University. Department of Earth and Environment. Boston, USA. Fil: Copati, Esteban Julián. Bolsa de Cereales. Buenos Aires, Argentina. Fil: Volante, José Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta (EEA Cerrillos). Salta, Argentina. Fil: Verón, Santiago Ramón. Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina. Fil: Verón, Santiago Ramón. CONICET. Buenos Aires, Argentina. Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación de Recursos Naturales (CIRN). Instituto de Clima y Agua. Castelar - Hurlingham, Buenos Aires, Argentina. Fil: Banchero, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación de Recursos Naturales (CIRN). Instituto de Clima y Agua. Castelar - Hurlingham, Buenos Aires, Argentina. Fil: Elena, Hernán. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta (EEA Cerrillos). Salta, Argentina. Fil: Abelleyra, Diego de. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación de Recursos Naturales (CIRN). Instituto de Clima y Agua. Castelar - Hurlingham, Buenos Aires, Argentina. Fil: Friedl, Mark A. Boston University. Department of Earth and Environment. Boston, USA. The impact of land cover change across the planet continues to necessitate accurate methods to detect and monitor evolving processes from satellite imagery. In this context, regional and global land cover mapping over time has largely treated time as independent and addressed temporal map consistency as a post - classification endeavor. However, we argue that time can be better modeled as codependent during the model classification stage to produce more consistent land cover estimates over long time periods and gradual change events. To produce temporally - dependent land cover estimates — meaning land cover is predicted over time in connected sequences as opposed to predictions made for a given time period without consideration of past land cover — we use structured learning with conditional random fields (CRFs), coupled with a land cover augmentation method to produce time series training data and bi - weekly Landsat imagery over 20 years (1999 - 2018) across the Southern Cone region of South America. A CRF accounts for the natural dependencies of land change processes. As a result, it is able to produce land cover estimates over time that better reflect real change and stability by reducing pixel - level annual noise. Using CRF, we produced a twenty - year dataset of land cover over the region, depicting key change processes such as cropland expansion and tree cover loss at the Landsat scale. The augmentation and CRF approach introduced here provides a more temporally consistent land cover product over traditional mapping methods. il., mapa, graf., tbls. application/pdf 10.3390/rs14164005 2072-4292 http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022graesser eng info:eu-repo/semantics/openAccess openAccess openAccess http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4 Remote Sensing Vol.14, no.16 4005 http://www.mdpi.com LANDSAT TIME SERIES LAND COVER CONDITIONAL RANDOM FIELDS SOUTHERN CONE Temporally - consistent annual land cover from landsat time series in the southern cone of South America info:ar-repo/semantics/artículo info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-140
collection FAUBA Digital - Facultad de Agronomía (UBA)
language Inglés
orig_language_str_mv eng
topic LANDSAT
TIME SERIES
LAND COVER
CONDITIONAL RANDOM FIELDS
SOUTHERN CONE
spellingShingle LANDSAT
TIME SERIES
LAND COVER
CONDITIONAL RANDOM FIELDS
SOUTHERN CONE
Graesser, Jordan
Stanimirova, Radost
Tarrio, Katelyn
Copati, Esteban Julián
Volante, José Norberto
Verón, Santiago Ramón
Banchero, Santiago
Elena, Hernán
Abelleyra, Diego de
Friedl, Mark A.
Temporally - consistent annual land cover from landsat time series in the southern cone of South America
topic_facet LANDSAT
TIME SERIES
LAND COVER
CONDITIONAL RANDOM FIELDS
SOUTHERN CONE
description Fil: Graesser, Jordan. Boston University. Department of Earth and Environment. Boston, USA.
format Artículo
Artículo
publishedVersion
publishedVersion
author Graesser, Jordan
Stanimirova, Radost
Tarrio, Katelyn
Copati, Esteban Julián
Volante, José Norberto
Verón, Santiago Ramón
Banchero, Santiago
Elena, Hernán
Abelleyra, Diego de
Friedl, Mark A.
author_facet Graesser, Jordan
Stanimirova, Radost
Tarrio, Katelyn
Copati, Esteban Julián
Volante, José Norberto
Verón, Santiago Ramón
Banchero, Santiago
Elena, Hernán
Abelleyra, Diego de
Friedl, Mark A.
author_sort Graesser, Jordan
title Temporally - consistent annual land cover from landsat time series in the southern cone of South America
title_short Temporally - consistent annual land cover from landsat time series in the southern cone of South America
title_full Temporally - consistent annual land cover from landsat time series in the southern cone of South America
title_fullStr Temporally - consistent annual land cover from landsat time series in the southern cone of South America
title_full_unstemmed Temporally - consistent annual land cover from landsat time series in the southern cone of South America
title_sort temporally - consistent annual land cover from landsat time series in the southern cone of south america
publishDate 2022
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022graesser
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