A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON

The data developed by the MapBiomas Amazon initiative ( http://amazonia.mapbiomas.org/ ) led by the Amazon Geo-referenced Socio-environmental Information Network’s (RAISG) is of unprecedented spatial and temporal resolution for the Andes region. It’s comprised by a series of annual maps for the year...

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Main Authors: M. O. Borja, R. Camargo, N. Moreno, E. Turpo, S. Villacis
Format: Article
Language:English
Published: Copernicus Publications 2020-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/373/2020/isprs-archives-XLII-3-W12-2020-373-2020.pdf
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author M. O. Borja
M. O. Borja
R. Camargo
R. Camargo
N. Moreno
N. Moreno
E. Turpo
E. Turpo
E. Turpo
S. Villacis
S. Villacis
author_facet M. O. Borja
M. O. Borja
R. Camargo
R. Camargo
N. Moreno
N. Moreno
E. Turpo
E. Turpo
E. Turpo
S. Villacis
S. Villacis
author_sort M. O. Borja
collection DOAJ
description The data developed by the MapBiomas Amazon initiative ( http://amazonia.mapbiomas.org/ ) led by the Amazon Geo-referenced Socio-environmental Information Network’s (RAISG) is of unprecedented spatial and temporal resolution for the Andes region. It’s comprised by a series of annual maps for the years 2000 to 2017 that allow to monitor the extent of transformation in this region using a single regional methodological approach. Several variables were included to solve Andes-specific methodological challenges and they represent adaptations of RAISG’s Amazonian methodology to the Andean region. Among such, is the use of the novel NDFIb index (Turpo, 2018), an adaptation of the NDFI index that aims at mapping Andean Wetlands. Glaciers identification was aided by the fractional abundance of snow (Turpo, 2018), as well as small water bodies identification with McFeeters (1996) NDWI water index. This experience unfolds promising accessibility to novel land cover and land use regional reconstructions and comparisons possible only by the use of large-scale cloud-computing data processing tools, open source technology, spatially and temporally comprehensive remote sensing data, along with RAISG’s standardized protocols and frameworks.
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spelling doaj.art-eabc35974ae14c459cae3e7c63aa63292022-12-21T19:24:33ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-11-01XLII-3-W12-202037337810.5194/isprs-archives-XLII-3-W12-2020-373-2020A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZONM. O. Borja0M. O. Borja1R. Camargo2R. Camargo3N. Moreno4N. Moreno5E. Turpo6E. Turpo7E. Turpo8S. Villacis9S. Villacis10Fundación EcoCiencia, San Ignacio E12-143 and Humboldt, Quito, EcuadorMember – Red Amazónica de Información Socioambiental Georreferenciada/RAISGFundación Amigos de la Naturaleza/FAN, Km. 7 1/2 Doble Vía La Guardia, BoliviaMember – Red Amazónica de Información Socioambiental Georreferenciada/RAISGInstituto del Bien Común/IBC, Av. Salaverry 818, Lima 11, PeruMember – Red Amazónica de Información Socioambiental Georreferenciada/RAISGInstituto del Bien Común/IBC, Av. Salaverry 818, Lima 11, PeruMember – Red Amazónica de Información Socioambiental Georreferenciada/RAISGUniversidad Nacional Agraria La Molina, PDRH, Av. La Molina s/n La Molina, Lima-PerúFundación EcoCiencia, San Ignacio E12-143 and Humboldt, Quito, EcuadorMember – Red Amazónica de Información Socioambiental Georreferenciada/RAISGThe data developed by the MapBiomas Amazon initiative ( http://amazonia.mapbiomas.org/ ) led by the Amazon Geo-referenced Socio-environmental Information Network’s (RAISG) is of unprecedented spatial and temporal resolution for the Andes region. It’s comprised by a series of annual maps for the years 2000 to 2017 that allow to monitor the extent of transformation in this region using a single regional methodological approach. Several variables were included to solve Andes-specific methodological challenges and they represent adaptations of RAISG’s Amazonian methodology to the Andean region. Among such, is the use of the novel NDFIb index (Turpo, 2018), an adaptation of the NDFI index that aims at mapping Andean Wetlands. Glaciers identification was aided by the fractional abundance of snow (Turpo, 2018), as well as small water bodies identification with McFeeters (1996) NDWI water index. This experience unfolds promising accessibility to novel land cover and land use regional reconstructions and comparisons possible only by the use of large-scale cloud-computing data processing tools, open source technology, spatially and temporally comprehensive remote sensing data, along with RAISG’s standardized protocols and frameworks.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/373/2020/isprs-archives-XLII-3-W12-2020-373-2020.pdf
spellingShingle M. O. Borja
M. O. Borja
R. Camargo
R. Camargo
N. Moreno
N. Moreno
E. Turpo
E. Turpo
E. Turpo
S. Villacis
S. Villacis
A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
title_full A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
title_fullStr A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
title_full_unstemmed A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
title_short A LONG-TERM LAND COVER AND LAND USE MAPPING METHODOLOGY FOR THE ANDEAN AMAZON
title_sort long term land cover and land use mapping methodology for the andean amazon
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/373/2020/isprs-archives-XLII-3-W12-2020-373-2020.pdf
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