Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
Remote sensing tools allow the environmental evaluation of coastal wetlands at a landscape scale, but a deeper understanding is needed of the interactions between biophysical parameters and the electromagnetic signal. The goal of this work was to analyze and quantify the influence of the aboveground...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Springer
2018
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| Online Access: | http://hdl.handle.net/20.500.12123/3597 https://link.springer.com/article/10.1007%2Fs13157-015-0715-6#citeas https://doi.org/10.1007/s13157-015-0715-6 |
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| author | Gonzalez Trilla, Gabriela Liliana Pratolongo, Paula Daniela Kandus, Patricia Beget, Maria Eugenia Di Bella, Carlos Marcelo Marcovecchio, Jorge Eduardo |
| author_browse | Beget, Maria Eugenia Di Bella, Carlos Marcelo Gonzalez Trilla, Gabriela Liliana Kandus, Patricia Marcovecchio, Jorge Eduardo Pratolongo, Paula Daniela |
| author_facet | Gonzalez Trilla, Gabriela Liliana Pratolongo, Paula Daniela Kandus, Patricia Beget, Maria Eugenia Di Bella, Carlos Marcelo Marcovecchio, Jorge Eduardo |
| author_sort | Gonzalez Trilla, Gabriela Liliana |
| collection | INTA Digital |
| description | Remote sensing tools allow the environmental evaluation of coastal wetlands at a landscape scale, but a deeper understanding is needed of the interactions between biophysical parameters and the electromagnetic signal. The goal of this work was to analyze and quantify the influence of the aboveground biomass and the Leaf Area Index (LAI) on the spectral response of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing crop by means of successive harvest. Reflectance data were acquired using a spectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each standing crop-LAI situation. Several VI significantly correlated with standing crop and LAI, including indices 1) based on the red-IR edge (IR Index (IRI), 695/760 ratio, Simple Ratio (SR), Red Edge Inflection Point (REIP), and different variations of the Normalized Difference VI (NDVI Rouse, NDVI amber, NDVI NOAA, NDVI Landsat, NDVI Modis), 2) indices based on the sharp change green-IR (green NDVI (GNDVI), 800/550 ratio) and 3) indices with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI (OSAVI), and Modified SAVI (MSAVI). The indices with significant regressions with standing crop and LAI were IRI, NDVIAmber and REIP. The total and green standing crop showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and standing crop of S. densiflora stands could be determined from spectral data but estimations should be taken carefully in high biomass scenarios, because of indexes saturation at higher LAI values. |
| format | info:ar-repo/semantics/artículo |
| id | INTA3597 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA35972018-10-16T12:57:05Z Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina Gonzalez Trilla, Gabriela Liliana Pratolongo, Paula Daniela Kandus, Patricia Beget, Maria Eugenia Di Bella, Carlos Marcelo Marcovecchio, Jorge Eduardo Marisma Teledetección Biomasa Marshes Remote Sensing Biomass Leaf Area Index Índice de Superficie Foliar Buenos Aires Spartina Densiflora Cultivo en Pie Spectral Indices Standing Crop Remote sensing tools allow the environmental evaluation of coastal wetlands at a landscape scale, but a deeper understanding is needed of the interactions between biophysical parameters and the electromagnetic signal. The goal of this work was to analyze and quantify the influence of the aboveground biomass and the Leaf Area Index (LAI) on the spectral response of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing crop by means of successive harvest. Reflectance data were acquired using a spectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each standing crop-LAI situation. Several VI significantly correlated with standing crop and LAI, including indices 1) based on the red-IR edge (IR Index (IRI), 695/760 ratio, Simple Ratio (SR), Red Edge Inflection Point (REIP), and different variations of the Normalized Difference VI (NDVI Rouse, NDVI amber, NDVI NOAA, NDVI Landsat, NDVI Modis), 2) indices based on the sharp change green-IR (green NDVI (GNDVI), 800/550 ratio) and 3) indices with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI (OSAVI), and Modified SAVI (MSAVI). The indices with significant regressions with standing crop and LAI were IRI, NDVIAmber and REIP. The total and green standing crop showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and standing crop of S. densiflora stands could be determined from spectral data but estimations should be taken carefully in high biomass scenarios, because of indexes saturation at higher LAI values. Instituto de Clima y Agua Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina Fil: Beget, Maria Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina 2018-10-16T12:51:21Z 2018-10-16T12:51:21Z 2016-02 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/3597 https://link.springer.com/article/10.1007%2Fs13157-015-0715-6#citeas 0277-5212 1943-6246 (Online) https://doi.org/10.1007/s13157-015-0715-6 eng info:eu-repo/semantics/restrictedAccess application/pdf Buenos Aires (province) Springer Wetlands 36 (1) : 185–194. (February 2016) |
| spellingShingle | Marisma Teledetección Biomasa Marshes Remote Sensing Biomass Leaf Area Index Índice de Superficie Foliar Buenos Aires Spartina Densiflora Cultivo en Pie Spectral Indices Standing Crop Gonzalez Trilla, Gabriela Liliana Pratolongo, Paula Daniela Kandus, Patricia Beget, Maria Eugenia Di Bella, Carlos Marcelo Marcovecchio, Jorge Eduardo Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title | Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title_full | Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title_fullStr | Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title_full_unstemmed | Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title_short | Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina |
| title_sort | relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from buenos aires province argentina |
| topic | Marisma Teledetección Biomasa Marshes Remote Sensing Biomass Leaf Area Index Índice de Superficie Foliar Buenos Aires Spartina Densiflora Cultivo en Pie Spectral Indices Standing Crop |
| url | http://hdl.handle.net/20.500.12123/3597 https://link.springer.com/article/10.1007%2Fs13157-015-0715-6#citeas https://doi.org/10.1007/s13157-015-0715-6 |
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