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...
Main Authors: | , , , , |
---|---|
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 |
_version_ | 1819000706665807872 |
---|---|
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. |
first_indexed | 2024-12-20T22:37:35Z |
format | Article |
id | doaj.art-eabc35974ae14c459cae3e7c63aa6329 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-20T22:37:35Z |
publishDate | 2020-11-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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 |
work_keys_str_mv | AT moborja alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT moborja alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT rcamargo alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT rcamargo alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT nmoreno alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT nmoreno alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT svillacis alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT svillacis alongtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT moborja longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT moborja longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT rcamargo longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT rcamargo longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT nmoreno longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT nmoreno longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT eturpo longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT svillacis longtermlandcoverandlandusemappingmethodologyfortheandeanamazon AT svillacis longtermlandcoverandlandusemappingmethodologyfortheandeanamazon |