Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Meteorologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862014000400001 |
Resumo: | The direct estimation of the soil heat flux (G) by remote sensing data is not possible. For this, several models have been proposed empirically from the relation of G measures and biophysical parameters of various types of coverage or not vegetated in different places on earth. Thus, the objective of this study was to evaluate the relation between G/Rn ratio and biophysical variables obtained by satellite sensors and evaluate the parameterization of different models to estimate G spatially in three sites with different soil cover types. The net radiation (Rn) and G were measured directly in two pastures at Miranda Farm and Experimental Farm and and Monodominant Forest of Cambará. Rn, G, and G/Rn ratio and MODIS products, such as albedo (α), surface temperature (LST), vegetation index (NDVI) and leaf area index (LAI) varied seasonally at all sites and inter-sites. The sites were different from each other by presenting different relation between measures of Rn, G and G/Rn ratio and biophysical parameters. Among the original models, the model proposed by Bastiaanssen (1995) showed the best performance with r = 0.76, d = 0.95, MAE = 5.70 W m-2 and RMSE = 33.68 W m-2. As the reparameterized models, correlation coefficients had no significant change, but the coefficient Willmott (d) increased and the MAE and RMSE had a small decrease. |
id |
SBMET-1_366da547f7df40247417bbc01cd440f1 |
---|---|
oai_identifier_str |
oai:scielo:S0102-77862014000400001 |
network_acronym_str |
SBMET-1 |
network_name_str |
Revista Brasileira de Meteorologia (Online) |
repository_id_str |
|
spelling |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniquesMato Grossopasturemonodominant forestorbital sensorsThe direct estimation of the soil heat flux (G) by remote sensing data is not possible. For this, several models have been proposed empirically from the relation of G measures and biophysical parameters of various types of coverage or not vegetated in different places on earth. Thus, the objective of this study was to evaluate the relation between G/Rn ratio and biophysical variables obtained by satellite sensors and evaluate the parameterization of different models to estimate G spatially in three sites with different soil cover types. The net radiation (Rn) and G were measured directly in two pastures at Miranda Farm and Experimental Farm and and Monodominant Forest of Cambará. Rn, G, and G/Rn ratio and MODIS products, such as albedo (α), surface temperature (LST), vegetation index (NDVI) and leaf area index (LAI) varied seasonally at all sites and inter-sites. The sites were different from each other by presenting different relation between measures of Rn, G and G/Rn ratio and biophysical parameters. Among the original models, the model proposed by Bastiaanssen (1995) showed the best performance with r = 0.76, d = 0.95, MAE = 5.70 W m-2 and RMSE = 33.68 W m-2. As the reparameterized models, correlation coefficients had no significant change, but the coefficient Willmott (d) increased and the MAE and RMSE had a small decrease.Sociedade Brasileira de Meteorologia2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862014000400001Revista Brasileira de Meteorologia v.29 n.4 2014reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-778620120568info:eu-repo/semantics/openAccessDanelichen,Victor Hugo de MoraisBiudes,Marcelo SacardiSouza,Maísa CaldasMachado,Nadja GomesSilva,Bernardo Barbosa daNogueira,José de Souzaeng2014-11-24T00:00:00Zoai:scielo:S0102-77862014000400001Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2014-11-24T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false |
dc.title.none.fl_str_mv |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
title |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
spellingShingle |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques Danelichen,Victor Hugo de Morais Mato Grosso pasture monodominant forest orbital sensors |
title_short |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
title_full |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
title_fullStr |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
title_full_unstemmed |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
title_sort |
Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques |
author |
Danelichen,Victor Hugo de Morais |
author_facet |
Danelichen,Victor Hugo de Morais Biudes,Marcelo Sacardi Souza,Maísa Caldas Machado,Nadja Gomes Silva,Bernardo Barbosa da Nogueira,José de Souza |
author_role |
author |
author2 |
Biudes,Marcelo Sacardi Souza,Maísa Caldas Machado,Nadja Gomes Silva,Bernardo Barbosa da Nogueira,José de Souza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Danelichen,Victor Hugo de Morais Biudes,Marcelo Sacardi Souza,Maísa Caldas Machado,Nadja Gomes Silva,Bernardo Barbosa da Nogueira,José de Souza |
dc.subject.por.fl_str_mv |
Mato Grosso pasture monodominant forest orbital sensors |
topic |
Mato Grosso pasture monodominant forest orbital sensors |
description |
The direct estimation of the soil heat flux (G) by remote sensing data is not possible. For this, several models have been proposed empirically from the relation of G measures and biophysical parameters of various types of coverage or not vegetated in different places on earth. Thus, the objective of this study was to evaluate the relation between G/Rn ratio and biophysical variables obtained by satellite sensors and evaluate the parameterization of different models to estimate G spatially in three sites with different soil cover types. The net radiation (Rn) and G were measured directly in two pastures at Miranda Farm and Experimental Farm and and Monodominant Forest of Cambará. Rn, G, and G/Rn ratio and MODIS products, such as albedo (α), surface temperature (LST), vegetation index (NDVI) and leaf area index (LAI) varied seasonally at all sites and inter-sites. The sites were different from each other by presenting different relation between measures of Rn, G and G/Rn ratio and biophysical parameters. Among the original models, the model proposed by Bastiaanssen (1995) showed the best performance with r = 0.76, d = 0.95, MAE = 5.70 W m-2 and RMSE = 33.68 W m-2. As the reparameterized models, correlation coefficients had no significant change, but the coefficient Willmott (d) increased and the MAE and RMSE had a small decrease. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862014000400001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862014000400001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-778620120568 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Meteorologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Meteorologia |
dc.source.none.fl_str_mv |
Revista Brasileira de Meteorologia v.29 n.4 2014 reponame:Revista Brasileira de Meteorologia (Online) instname:Sociedade Brasileira de Meteorologia (SBMET) instacron:SBMET |
instname_str |
Sociedade Brasileira de Meteorologia (SBMET) |
instacron_str |
SBMET |
institution |
SBMET |
reponame_str |
Revista Brasileira de Meteorologia (Online) |
collection |
Revista Brasileira de Meteorologia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET) |
repository.mail.fl_str_mv |
||rbmet@rbmet.org.br |
_version_ |
1752122084902830080 |