Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain
In this study, we showed that the multi-angle satellite remote sensing product, MISR L2 Land Surface (MIL2ASLS), which has a scale of 1.1 km, could be suitable for improving land-cover studies. Using seven images from this product, captured by the multi-angle imaging spectroradiometer sensor (MISR),...
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doaj-6162da37c45a4e0d934b1ad9aae33def2020-11-25T01:30:36ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-11-0161135310.3390/ijgi6110353ijgi6110353Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland SpainPatricia Arrogante-Funes0Carlos J. Novillo1Raúl Romero-Calcerrada2René Vázquez-Jiménez3Rocío N. Ramos-Bernal4Departamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, 28933 Móstoles, Madrid, SpainDepartamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, 28933 Móstoles, Madrid, SpainGeography Group, Departamento de Ciencias de la Educación, Lenguaje, Cultura y Artes, Ciencias Histórica-Jurídicas y Humanísticas y Lenguas Modernas, Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros s/n, 28032 Vicálvaro, Madrid, SpainDepartamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, 28933 Móstoles, Madrid, SpainDepartamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, 28933 Móstoles, Madrid, SpainIn this study, we showed that the multi-angle satellite remote sensing product, MISR L2 Land Surface (MIL2ASLS), which has a scale of 1.1 km, could be suitable for improving land-cover studies. Using seven images from this product, captured by the multi-angle imaging spectroradiometer sensor (MISR), we explored the values reached by the three parameters (ρ0, Θ, and k) of the Rahman–Pinty–Verstraete model, which was modified by Martonchick (MRPV). Thereafter, we compared the values and behaviors shown in seven Co-ordination of Information on the Environment (CORINE) land cover categories, in the red and near infrared (NIR) bands, over the seven MISR orbits captured in 2006 for Mainland Spain. Furthermore, we used Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Fraction of Photosynthetically Active Radiation (FPAR) ancillary data and the illumination angles from the same pixels, which made up the images. These ancillary data were also provided by the MISR products. An inferential statistic test was performed to evaluate the relationship between each parameter–band combination, and the land cover in every MISR orbit used. The results suggested that the ρ0 parameters of this product seemed to be the most related to photosynthetic activity, and it should be comparable with the widely-used NDVI. On the other hand, the k and Θ parameter values were not related, or at least not entirely related, to the phenology of land coverage. These seemed to be more influenced by the anisotropy behavior of the studied land cover pixels. Additionally, we observed, by constructing analysis of variance, how the mean of each MRPV parameter–band differed statistically (p < 0.01) by land covers and orbits. This study suggested that the MISR MRPV model parameter data product has great potential to be used to improve land cover applications.https://www.mdpi.com/2220-9964/6/11/353MISRMISR level 2 land surface (MIL2ASLS) productBRFMRPV modelmultiangular dataanisotropy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patricia Arrogante-Funes Carlos J. Novillo Raúl Romero-Calcerrada René Vázquez-Jiménez Rocío N. Ramos-Bernal |
spellingShingle |
Patricia Arrogante-Funes Carlos J. Novillo Raúl Romero-Calcerrada René Vázquez-Jiménez Rocío N. Ramos-Bernal Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain ISPRS International Journal of Geo-Information MISR MISR level 2 land surface (MIL2ASLS) product BRF MRPV model multiangular data anisotropy |
author_facet |
Patricia Arrogante-Funes Carlos J. Novillo Raúl Romero-Calcerrada René Vázquez-Jiménez Rocío N. Ramos-Bernal |
author_sort |
Patricia Arrogante-Funes |
title |
Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain |
title_short |
Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain |
title_full |
Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain |
title_fullStr |
Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain |
title_full_unstemmed |
Relationship between MRPV Model Parameters from MISRL2 Land Surface Product and Land Covers: A Case Study within Mainland Spain |
title_sort |
relationship between mrpv model parameters from misrl2 land surface product and land covers: a case study within mainland spain |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2017-11-01 |
description |
In this study, we showed that the multi-angle satellite remote sensing product, MISR L2 Land Surface (MIL2ASLS), which has a scale of 1.1 km, could be suitable for improving land-cover studies. Using seven images from this product, captured by the multi-angle imaging spectroradiometer sensor (MISR), we explored the values reached by the three parameters (ρ0, Θ, and k) of the Rahman–Pinty–Verstraete model, which was modified by Martonchick (MRPV). Thereafter, we compared the values and behaviors shown in seven Co-ordination of Information on the Environment (CORINE) land cover categories, in the red and near infrared (NIR) bands, over the seven MISR orbits captured in 2006 for Mainland Spain. Furthermore, we used Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Fraction of Photosynthetically Active Radiation (FPAR) ancillary data and the illumination angles from the same pixels, which made up the images. These ancillary data were also provided by the MISR products. An inferential statistic test was performed to evaluate the relationship between each parameter–band combination, and the land cover in every MISR orbit used. The results suggested that the ρ0 parameters of this product seemed to be the most related to photosynthetic activity, and it should be comparable with the widely-used NDVI. On the other hand, the k and Θ parameter values were not related, or at least not entirely related, to the phenology of land coverage. These seemed to be more influenced by the anisotropy behavior of the studied land cover pixels. Additionally, we observed, by constructing analysis of variance, how the mean of each MRPV parameter–band differed statistically (p < 0.01) by land covers and orbits. This study suggested that the MISR MRPV model parameter data product has great potential to be used to improve land cover applications. |
topic |
MISR MISR level 2 land surface (MIL2ASLS) product BRF MRPV model multiangular data anisotropy |
url |
https://www.mdpi.com/2220-9964/6/11/353 |
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