Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations

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Land degradation is one of the main environmental concerns in Argentina. Monitoring systems to detect trend and provide early warnings are required to deal with this issue. Recently, there have been developed monitoring methodologies based on indices derived from satellite images, among them the mos...

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Autores principales: Gaitán, J.J., Donaldo Bran, D.E., Azcona, C.
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agropecuarias. 2015
Materias:
Indicadores
sensores remotos
servicios ecosistémicos.
Indicators
remote sensing
ecosystem services.
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/16559
Aporte de:
Revistas de la UNC de Universidad Nacional de Córdoba
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spelling I10-R10-article-165592020-02-13T17:56:48Z Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations Tendencia del NDVI en el período 2000-2014 como indicador de la degradación de tierras en Argentina: ventajas y limitaciones Gaitán, J.J. Donaldo Bran, D.E. Azcona, C. Indicadores sensores remotos servicios ecosistémicos. Indicators remote sensing ecosystem services. Land degradation is one of the main environmental concerns in Argentina. Monitoring systems to detect trend and provide early warnings are required to deal with this issue. Recently, there have been developed monitoring methodologies based on indices derived from satellite images, among them the most widely used is the NDVI (Normalized Difference Vegetation Index). The trend of NDVI (from MODIS sensor) was analyzed, between 2000-2014, as a possible indicator of land degradation in Argentina. For each year (from 01-July until 30-June of the following year) the annual integral of NDVI and its trend was calculated using simple linear regression for each pixel. According to the sign and statistical significance of the regression slope were mapped areas with negative trends (TN, 37.9% of the country), positive (TP, 5.0%) and no trend (57.1%). The TN was concentrated in North Patagonia (associated with the deposition of volcanic ash and a dry cycle) and the Chaco Seco (associated with forest clearing for agriculture and a dry cycle). The TP was concentrated in the northwest of the country (possibly associated with the occurrence of a wet cycle). This methodology, along with other indicators based on field information and climate data, may be useful for developing a monitoring system of land degradation at a national scale. La degradación de tierras es uno de los mayores problemas ambientales de la Argentina. Para gestionar esta problemática se requieren sistemas de monitoreo que permitan detectar su tendencia y proporcionen alertas tempranas. Recientemente se han desarrollado metodologías de monitoreo basadas en índices de imágenes satelitales, siendo NDVI (Normalized Difference Vegetation Index) el más utilizado. Se analizó la tendencia del NDVI (del sensor MODIS), entre 2000-2014, como posible indicador de la degradación de tierras en la Argentina. Para cada año (del 01/07 al 30/06 del año siguiente) se calculó la integral anual del NDVI y su tendencia mediante regresión lineal simple para cada pixel. De acuerdo al signo y significancia estadística de la pendiente se cartografiaron áreas con tendencias negativas (TN; 37,9% del territorio nacional), positivas (TP; 5,0%) y sin tendencia (57,1%). Las TN se concentraron en Patagonia Norte (asociado a la deposición de cenizas volcánicas y a un ciclo seco) y en el Chaco Seco (asociado a desmontes para agricultura y a un ciclo seco). Las TP se concentraron en el noroeste del país (posiblemente asociado a un ciclo húmedo). Esta metodología, junto con indicadores de campo y datos climáticos, puede integrar un sistema para monitorear las tierras a escala nacional. Facultad de Ciencias Agropecuarias. 2015-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/agris/article/view/16559 AgriScientia; Vol. 32 No. 2 (2015); 83-93 AgriScientia; Vol. 32 Núm. 2 (2015); 83-93 1668-298X 10.31047/1668.298x.v32.n2 spa https://revistas.unc.edu.ar/index.php/agris/article/view/16559/16370
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-10
container_title_str Revistas de la UNC
language Español
format Artículo revista
topic Indicadores
sensores remotos
servicios ecosistémicos.
Indicators
remote sensing
ecosystem services.
spellingShingle Indicadores
sensores remotos
servicios ecosistémicos.
Indicators
remote sensing
ecosystem services.
Gaitán, J.J.
Donaldo Bran, D.E.
Azcona, C.
Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
topic_facet Indicadores
sensores remotos
servicios ecosistémicos.
Indicators
remote sensing
ecosystem services.
author Gaitán, J.J.
Donaldo Bran, D.E.
Azcona, C.
author_facet Gaitán, J.J.
Donaldo Bran, D.E.
Azcona, C.
author_sort Gaitán, J.J.
title Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
title_short Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
title_full Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
title_fullStr Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
title_full_unstemmed Trend of NDVI in the period 2000-2014 as indicator of land degradation in Argentina: advantages and limitations
title_sort trend of ndvi in the period 2000-2014 as indicator of land degradation in argentina: advantages and limitations
description Land degradation is one of the main environmental concerns in Argentina. Monitoring systems to detect trend and provide early warnings are required to deal with this issue. Recently, there have been developed monitoring methodologies based on indices derived from satellite images, among them the most widely used is the NDVI (Normalized Difference Vegetation Index). The trend of NDVI (from MODIS sensor) was analyzed, between 2000-2014, as a possible indicator of land degradation in Argentina. For each year (from 01-July until 30-June of the following year) the annual integral of NDVI and its trend was calculated using simple linear regression for each pixel. According to the sign and statistical significance of the regression slope were mapped areas with negative trends (TN, 37.9% of the country), positive (TP, 5.0%) and no trend (57.1%). The TN was concentrated in North Patagonia (associated with the deposition of volcanic ash and a dry cycle) and the Chaco Seco (associated with forest clearing for agriculture and a dry cycle). The TP was concentrated in the northwest of the country (possibly associated with the occurrence of a wet cycle). This methodology, along with other indicators based on field information and climate data, may be useful for developing a monitoring system of land degradation at a national scale.
publisher Facultad de Ciencias Agropecuarias.
publishDate 2015
url https://revistas.unc.edu.ar/index.php/agris/article/view/16559
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first_indexed 2022-08-20T01:01:30Z
last_indexed 2022-08-20T01:01:30Z
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