Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data

We propose a methodology to identify and map shallow lakes (SL) in the Paraná River floodplain, the largest freshwater wetland ecosystem in temperate South America. The presence and number of SL offer various ecosystem services and habitats for wildlife biodiversity. Our approach involved a frequenc...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Borro, M., Morandeira, N., Salvia, M., Minotti, P., Perna, P., Kandus, P.
Formato:	JOUR
Materias:	Landsat time series Multitemporal frequency approach Paraná River floodplain Shallow lakes map Wetlands Banks (bodies of water) Biodiversity Ecosystems Lakes Pixels Time series Water levels Descriptive statistics Flood plains Frequency approach Hydrological condition Normalized difference vegetation index Shallow lakes Spatial and temporal resolutions Floods database floodplain frequency analysis fuzzy mathematics lake water Landsat mapping NDVI pixel satellite data time series water level South America
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_00221694_v512_n_p39_Borro
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_00221694_v512_n_p39_Borro
record_format	dspace
spelling	todo:paper_00221694_v512_n_p39_Borro2023-10-03T14:27:52Z Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data Borro, M. Morandeira, N. Salvia, M. Minotti, P. Perna, P. Kandus, P. Landsat time series Multitemporal frequency approach Paraná River floodplain Shallow lakes map Wetlands Banks (bodies of water) Biodiversity Ecosystems Lakes Pixels Time series Water levels Wetlands Descriptive statistics Flood plains Frequency approach Hydrological condition Landsat time series Normalized difference vegetation index Shallow lakes Spatial and temporal resolutions Floods database floodplain frequency analysis fuzzy mathematics lake water Landsat mapping NDVI pixel satellite data time series water level South America We propose a methodology to identify and map shallow lakes (SL) in the Paraná River floodplain, the largest freshwater wetland ecosystem in temperate South America. The presence and number of SL offer various ecosystem services and habitats for wildlife biodiversity. Our approach involved a frequency analysis over a 1987-2010 time series of the Normalized Difference Vegetation Index (NDVI), derived from Landsat 5 and 7 TM/ETM data. Through descriptive statistics of samples of pixels and field work in different types of SL, we established an NDVI threshold of 0.34 below which we assumed the presence of water in each pixel. The standard deviation of the estimated SL area decreases with the number of images in the analysis, being less than 10% when at least 30 images are used. The mean SL area for the whole period was 112,691. ha (10.9% of the study area). The influence of the hydrological conditions on the resulting SL map was evaluated by analyzing twelve sets of images, which were selected to span the whole period and different time frames according to multiannual dry and wet periods and to relative water level within each period. The Kappa index was then calculated between pairs of resulting SL maps. We compared our maps with the available national and international cartographic documents and with other published maps that used one or a few Landsat images. Landsat images time series provide an accurate spatial and temporal resolution for SL identification in floodplains, particularly in temperate zones with a good provision of cloud free images. The method evaluated in this paper considers the dynamics of SL and reduces the uncertainties of the fuzzy boundaries. Thus, it provides a robust database of SL and its temporal behavior to establish future monitoring programs based on the recent launch of Landsat 8 satellite. © 2014. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00221694_v512_n_p39_Borro
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Landsat time series Multitemporal frequency approach Paraná River floodplain Shallow lakes map Wetlands Banks (bodies of water) Biodiversity Ecosystems Lakes Pixels Time series Water levels Wetlands Descriptive statistics Flood plains Frequency approach Hydrological condition Landsat time series Normalized difference vegetation index Shallow lakes Spatial and temporal resolutions Floods database floodplain frequency analysis fuzzy mathematics lake water Landsat mapping NDVI pixel satellite data time series water level South America
spellingShingle	Landsat time series Multitemporal frequency approach Paraná River floodplain Shallow lakes map Wetlands Banks (bodies of water) Biodiversity Ecosystems Lakes Pixels Time series Water levels Wetlands Descriptive statistics Flood plains Frequency approach Hydrological condition Landsat time series Normalized difference vegetation index Shallow lakes Spatial and temporal resolutions Floods database floodplain frequency analysis fuzzy mathematics lake water Landsat mapping NDVI pixel satellite data time series water level South America Borro, M. Morandeira, N. Salvia, M. Minotti, P. Perna, P. Kandus, P. Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
topic_facet	Landsat time series Multitemporal frequency approach Paraná River floodplain Shallow lakes map Wetlands Banks (bodies of water) Biodiversity Ecosystems Lakes Pixels Time series Water levels Wetlands Descriptive statistics Flood plains Frequency approach Hydrological condition Landsat time series Normalized difference vegetation index Shallow lakes Spatial and temporal resolutions Floods database floodplain frequency analysis fuzzy mathematics lake water Landsat mapping NDVI pixel satellite data time series water level South America
description	We propose a methodology to identify and map shallow lakes (SL) in the Paraná River floodplain, the largest freshwater wetland ecosystem in temperate South America. The presence and number of SL offer various ecosystem services and habitats for wildlife biodiversity. Our approach involved a frequency analysis over a 1987-2010 time series of the Normalized Difference Vegetation Index (NDVI), derived from Landsat 5 and 7 TM/ETM data. Through descriptive statistics of samples of pixels and field work in different types of SL, we established an NDVI threshold of 0.34 below which we assumed the presence of water in each pixel. The standard deviation of the estimated SL area decreases with the number of images in the analysis, being less than 10% when at least 30 images are used. The mean SL area for the whole period was 112,691. ha (10.9% of the study area). The influence of the hydrological conditions on the resulting SL map was evaluated by analyzing twelve sets of images, which were selected to span the whole period and different time frames according to multiannual dry and wet periods and to relative water level within each period. The Kappa index was then calculated between pairs of resulting SL maps. We compared our maps with the available national and international cartographic documents and with other published maps that used one or a few Landsat images. Landsat images time series provide an accurate spatial and temporal resolution for SL identification in floodplains, particularly in temperate zones with a good provision of cloud free images. The method evaluated in this paper considers the dynamics of SL and reduces the uncertainties of the fuzzy boundaries. Thus, it provides a robust database of SL and its temporal behavior to establish future monitoring programs based on the recent launch of Landsat 8 satellite. © 2014.
format	JOUR
author	Borro, M. Morandeira, N. Salvia, M. Minotti, P. Perna, P. Kandus, P.
author_facet	Borro, M. Morandeira, N. Salvia, M. Minotti, P. Perna, P. Kandus, P.
author_sort	Borro, M.
title	Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
title_short	Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
title_full	Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
title_fullStr	Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
title_full_unstemmed	Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data
title_sort	mapping shallow lakes in a large south american floodplain: a frequency approach on multitemporal landsat tm/etm data
url	http://hdl.handle.net/20.500.12110/paper_00221694_v512_n_p39_Borro
work_keys_str_mv	AT borrom mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata AT morandeiran mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata AT salviam mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata AT minottip mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata AT pernap mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata AT kandusp mappingshallowlakesinalargesouthamericanfloodplainafrequencyapproachonmultitemporallandsattmetmdata
_version_	1807317258807017472

Mapping shallow lakes in a large South American floodplain: A frequency approach on multitemporal Landsat TM/ETM data

Ejemplares similares