Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR

Due to the fast deforestation rates in the tropics, multiple international efforts have been launched to reduce deforestation and develop consistent methodologies to assess forest extension and change. Since 2010 Colombia implemented the Mainstream Sustainable Cattle Ranching project with the partic...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/19053
Acceso en línea:
http://repository.urosario.edu.co/handle/10336/19053
Palabra clave:
Synthetic Aperture Radar
Alos Palsar
Carbon Cycles
Cattle Ranching
Classification Errors
Colombia
Complex Topographies
Heterogeneous Region
Payment For Environmental Services
Deforestation
Huertos, frutas, silvicultura
Deforestación
Ciclo del carbono (Biogeoquímica)
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
title Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
spellingShingle Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
Synthetic Aperture Radar
Alos Palsar
Carbon Cycles
Cattle Ranching
Classification Errors
Colombia
Complex Topographies
Heterogeneous Region
Payment For Environmental Services
Deforestation
Huertos, frutas, silvicultura
Deforestación
Ciclo del carbono (Biogeoquímica)
title_short Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
title_full Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
title_fullStr Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
title_full_unstemmed Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
title_sort Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
dc.subject.spa.fl_str_mv Synthetic Aperture Radar
Alos Palsar
Carbon Cycles
Cattle Ranching
Classification Errors
Colombia
Complex Topographies
Heterogeneous Region
Payment For Environmental Services
Deforestation
topic Synthetic Aperture Radar
Alos Palsar
Carbon Cycles
Cattle Ranching
Classification Errors
Colombia
Complex Topographies
Heterogeneous Region
Payment For Environmental Services
Deforestation
Huertos, frutas, silvicultura
Deforestación
Ciclo del carbono (Biogeoquímica)
dc.subject.ddc.spa.fl_str_mv Huertos, frutas, silvicultura
dc.subject.lemb.spa.fl_str_mv Deforestación
Ciclo del carbono (Biogeoquímica)
description Due to the fast deforestation rates in the tropics, multiple international efforts have been launched to reduce deforestation and develop consistent methodologies to assess forest extension and change. Since 2010 Colombia implemented the Mainstream Sustainable Cattle Ranching project with the participation of small farmers in a payment for environmental services (PES) scheme where zero deforestation agreements are signed. To assess the fulfillment of such agreements at farm level, ALOS-1 and ALOS-2 PALSAR fine beam dual imagery for years 2010 and 2016 was processed with ad-hoc routines to estimate stable forest, deforestation, and stable nonforest extension for 2615 participant farms in five heterogeneous regions of Colombia. Landsat VNIR imagery was integrated in the processing chain to reduce classification uncertainties due to radar limitations. Farms associated with Meta Foothills regions showed zero deforestation during the period analyzed (2010-2016), while other regions showed low deforestation rates with the exception of the Cesar River Valley (75 ha). Results, suggests that topography and dry weather conditions have an effect on radar-based mapping accuracy, i.e., deforestation and forest classes showed lower user accuracy values on mountainous and dry regions revealing overestimations in these environments. Nevertheless, overall ALOS Phased Array L-band SAR (PALSAR) data provided overall accurate, relevant, and consistent information for forest change analysis for local zero deforestation agreements assessment. Improvements to preprocessing routines and integration of high dense radar time series should be further investigated to reduce classification errors from complex topography conditions. © 2018 by the authors.
publishDate 2018
dc.date.created.none.fl_str_mv 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-02-12T20:58:57Z
dc.date.available.none.fl_str_mv 2019-02-12T20:58:57Z
dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv 10.3390/rs10091464
dc.identifier.issn.none.fl_str_mv 2072-4292
dc.identifier.uri.none.fl_str_mv http://repository.urosario.edu.co/handle/10336/19053
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dc.language.iso.spa.fl_str_mv eng
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dc.relation.citationTitle.none.fl_str_mv Remote Sensing
dc.relation.citationVolume.none.fl_str_mv Vol. 10
dc.relation.ispartof.spa.fl_str_mv Remote Sensing, ISSN:2072-4292, Vol. 10 (2018)
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institution Universidad del Rosario
dc.source.bibliographicCitation.spa.fl_str_mv Keenan, R.J., Reams, G.A., Achard, F., de Freitas, J.V., Grainger, A., Lindquist, E., Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015 (2015) For. Ecol. Manag, 352, pp. 9-20
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spelling 37f220fb-70d1-464b-adfc-a95a5f05beef6004508116007aec6140-965e-405a-b18a-b60e4864e991600e2029fab-29ae-4624-b85b-1b9c56b15f58600823cc981-08f6-487d-aa68-7c3603201f156008c21bd9f-032e-4e31-bbd3-6a1c3eb5b799600b2f4f125-208c-4be1-b968-e4485ac3c734600a2ffff15-2cac-4d19-a896-20fd9ef62057600fda87fb6-2695-4a50-a58b-911cf31f43416004508116002019-02-12T20:58:57Z2019-02-12T20:58:57Z20182018Due to the fast deforestation rates in the tropics, multiple international efforts have been launched to reduce deforestation and develop consistent methodologies to assess forest extension and change. Since 2010 Colombia implemented the Mainstream Sustainable Cattle Ranching project with the participation of small farmers in a payment for environmental services (PES) scheme where zero deforestation agreements are signed. To assess the fulfillment of such agreements at farm level, ALOS-1 and ALOS-2 PALSAR fine beam dual imagery for years 2010 and 2016 was processed with ad-hoc routines to estimate stable forest, deforestation, and stable nonforest extension for 2615 participant farms in five heterogeneous regions of Colombia. Landsat VNIR imagery was integrated in the processing chain to reduce classification uncertainties due to radar limitations. Farms associated with Meta Foothills regions showed zero deforestation during the period analyzed (2010-2016), while other regions showed low deforestation rates with the exception of the Cesar River Valley (75 ha). Results, suggests that topography and dry weather conditions have an effect on radar-based mapping accuracy, i.e., deforestation and forest classes showed lower user accuracy values on mountainous and dry regions revealing overestimations in these environments. Nevertheless, overall ALOS Phased Array L-band SAR (PALSAR) data provided overall accurate, relevant, and consistent information for forest change analysis for local zero deforestation agreements assessment. Improvements to preprocessing routines and integration of high dense radar time series should be further investigated to reduce classification errors from complex topography conditions. © 2018 by the authors.application/pdf10.3390/rs100914642072-4292http://repository.urosario.edu.co/handle/10336/19053engRemote SensingVol. 10Remote Sensing, ISSN:2072-4292, Vol. 10 (2018)https://www.mdpi.com/2072-4292/10/9/1464Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Keenan, R.J., Reams, G.A., Achard, F., de Freitas, J.V., Grainger, A., Lindquist, E., Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015 (2015) For. Ecol. Manag, 352, pp. 9-20instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURSynthetic Aperture RadarAlos PalsarCarbon CyclesCattle RanchingClassification ErrorsColombiaComplex TopographiesHeterogeneous RegionPayment For Environmental ServicesDeforestationHuertos, frutas, silvicultura634600DeforestaciónCiclo del carbono (Biogeoquímica)Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSARarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Pedraza, CarlosClereci, NicolaForero, Cristian FabiánMelo, AméricaNavarrete, DiegoLizcano, DiegoZuluaga, Andrés FelipeDelgado, JulianaGalindo, GustavoPedraza, CarlosClerici, NicolaForero, Cristian FabiánMelo, AméricaNavarrete, DiegoLizcano, DiegoZuluaga, Andrés FelipeDelgado, JulianaGalindo, GustavoORIGINAL17.pdfapplication/pdf10902176https://repository.urosario.edu.co/bitstreams/c0abef9e-79d0-4599-b787-16d638854cfe/download640d1f09a537bb18819954330c731ea3MD51TEXT17.pdf.txt17.pdf.txtExtracted texttext/plain59364https://repository.urosario.edu.co/bitstreams/1d7c327b-408f-4bf0-9d99-a5eba85f106e/download8892f99cdc59ef4fd2cd4073e35bffd1MD52THUMBNAIL17.pdf.jpg17.pdf.jpgGenerated Thumbnailimage/jpeg4781https://repository.urosario.edu.co/bitstreams/2c19bde4-7397-4e08-a4ee-3fbaf999f238/download74a2a11c376bab191ef84a970f4472a4MD5310336/19053oai:repository.urosario.edu.co:10336/190532019-09-19 07:37:54.609585https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co