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 Principales: Pedraza, Carlos, Clerici, Nicola, Forero, Cristian Fabián, Melo, América, Navarrete, Diego, Lizcano, Diego, Zuluaga, Andrés Felipe, Delgado, Juliana, Galindo, Gustavo
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: 2018
Materias:
Acceso en línea:http://repository.urosario.edu.co/handle/10336/19053
id ir-10336-19053
recordtype dspace
spelling ir-10336-190532019-09-19T12:37:54Z Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR Pedraza, Carlos Clerici, Nicola Forero, Cristian Fabián Melo, América Navarrete, Diego Lizcano, Diego Zuluaga, Andrés Felipe Delgado, Juliana Galindo, Gustavo 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) 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. 2018 2019-02-12T20:58:57Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2072-4292 http://repository.urosario.edu.co/handle/10336/19053 10.3390/rs10091464 eng info:eu-repo/semantics/openAccess application/pdf 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
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
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)
spellingShingle 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)
Pedraza, Carlos
Clerici, Nicola
Forero, Cristian Fabián
Melo, América
Navarrete, Diego
Lizcano, Diego
Zuluaga, Andrés Felipe
Delgado, Juliana
Galindo, Gustavo
Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
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.
format Artículo (Article)
author Pedraza, Carlos
Clerici, Nicola
Forero, Cristian Fabián
Melo, América
Navarrete, Diego
Lizcano, Diego
Zuluaga, Andrés Felipe
Delgado, Juliana
Galindo, Gustavo
author_facet Pedraza, Carlos
Clerici, Nicola
Forero, Cristian Fabián
Melo, América
Navarrete, Diego
Lizcano, Diego
Zuluaga, Andrés Felipe
Delgado, Juliana
Galindo, Gustavo
author_sort Pedraza, Carlos
title Zero deforestation agreement assessment at farm level in Colombia using ALOS PALSAR
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
publishDate 2018
url http://repository.urosario.edu.co/handle/10336/19053
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score 11,374337