ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Caminhos de Geografia |
Texto Completo: | https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54817 |
Resumo: | The objective of this study is to adapt the calculations of the Pasture Degradation Index (GDI) to the Brazilian savannah using medium spatial resolution satellite image for the dry season. Vegetation cover is the main evaluation parameter used to calculate the GDI. The extreme ranges of the grazing class were determined by the NDVI histogram of a single date. Pasture cover was distinguished into five classes called Vegetable Pasture Cover (GVC), derived from NDVI and compared with five other classes derived from field photographs, named Green Coverage Percentage (GCP). The similarity between GVC and GVP demonstrated that GVC can be used to classify pasture cover. As a product of GVC, GDI was obtained. The GDI showed that pasture degradation in Paraíso das Águas is very serious. Extremely severe and Severe degradation occupy 9.28% and 25.22% of the study area, moderate and light degradation of pasture occupy 8.29% and 4.50%, respectively, and the non-degradation area covers 1.43 % of pastures. The results suggest the possibility of applying the GDI, originally developed for natural fields and multitemporal remote sensing data, to evaluate the conditions of the tropical savanna planted fields by means of a unique image. |
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ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSINGANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSINGCrescimento urbano.Ordenamento territorial.Instrumentos legais urbanos.Especulação imobiliária.Urban growth.Spatial planning.Urban legal instruments.Real estate speculation.The objective of this study is to adapt the calculations of the Pasture Degradation Index (GDI) to the Brazilian savannah using medium spatial resolution satellite image for the dry season. Vegetation cover is the main evaluation parameter used to calculate the GDI. The extreme ranges of the grazing class were determined by the NDVI histogram of a single date. Pasture cover was distinguished into five classes called Vegetable Pasture Cover (GVC), derived from NDVI and compared with five other classes derived from field photographs, named Green Coverage Percentage (GCP). The similarity between GVC and GVP demonstrated that GVC can be used to classify pasture cover. As a product of GVC, GDI was obtained. The GDI showed that pasture degradation in Paraíso das Águas is very serious. Extremely severe and Severe degradation occupy 9.28% and 25.22% of the study area, moderate and light degradation of pasture occupy 8.29% and 4.50%, respectively, and the non-degradation area covers 1.43 % of pastures. The results suggest the possibility of applying the GDI, originally developed for natural fields and multitemporal remote sensing data, to evaluate the conditions of the tropical savanna planted fields by means of a unique image.O objetivo deste estudo é adaptar os cálculos do Índice de Degradação de Pastagens (GDI) à savana brasileira usando imagem de satélite de média resolução espacial para estação seca. A cobertura vegetal é o principal parâmetro de avaliação usado para calcular o GDI. Os intervalos extremos da classe de pastagem foram determinados pelo histograma do NDVI. A cobertura de pastagem foi distinguida em cinco classes denominadas Cobertura Vegetal de Pastagem (GVC), derivada do NDVI e correlacionada com outras cinco classes derivadas de fotografias de campo, nomeadas de Porcentagem de Coberta Verde (GCP). A semelhança entre a GVC e a GVP demonstrou que a GVC pode ser usada para classificar a cobertura de pastagem. Como produto da GVC, foi obtido o GDI. O GDI demonstrou que a degradação de pastagem em Paraíso das Águas é muito séria. Degradação Extremamente Severa e Severa e ocupam 9,28% e 25,22%, da área de estudo, degradação de pastagem Moderada e Leve ocupam 8.29% e 4,50%, respectivamente, e a área não degrada cobrem 0,9% das pastagens. Os resultados sugerem a possibilidade de aplicar o GDI, originalmente desenvolvido para pastagens naturais e dados de sensoriamento remoto multitemporal, para avaliar as condições de pastagens plantadas em savanas tropicais.EDUFU - Editora da Universidade Federal de Uberlândia2021-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/5481710.14393/RCG228054817Caminhos de Geografia; Vol. 22 No. 80 (2021): Abril; 201-219Caminhos de Geografia; Vol. 22 Núm. 80 (2021): Abril; 201-219Caminhos de Geografia; v. 22 n. 80 (2021): Abril; 201-2191678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/54817/31417Copyright (c) 2021 Jaiza Santos Motta, César Claudio Cáceres Encina, Eliane Guaraldo, Ariadne Barbosa Gonçalves, Roberto Macedo Gamarra, Antonio Conceição Paranhos Filhoinfo:eu-repo/semantics/openAccessSantos Motta, JaizaEncina, César Claudio Cáceres Guaraldo, ElianeGonçalves, Ariadne Barbosa Gamarra, Roberto Macedo Paranhos Filho, Antonio Conceição 2021-05-24T15:25:55Zoai:ojs.www.seer.ufu.br:article/54817Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2021-05-24T15:25:55Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
title |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
spellingShingle |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING Santos Motta, Jaiza Crescimento urbano. Ordenamento territorial. Instrumentos legais urbanos. Especulação imobiliária. Urban growth. Spatial planning. Urban legal instruments. Real estate speculation. |
title_short |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
title_full |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
title_fullStr |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
title_full_unstemmed |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
title_sort |
ANALYSIS OF THE DEGREE OF GRASSLAND DEGRADATION USING REMOTE SENSING |
author |
Santos Motta, Jaiza |
author_facet |
Santos Motta, Jaiza Encina, César Claudio Cáceres Guaraldo, Eliane Gonçalves, Ariadne Barbosa Gamarra, Roberto Macedo Paranhos Filho, Antonio Conceição |
author_role |
author |
author2 |
Encina, César Claudio Cáceres Guaraldo, Eliane Gonçalves, Ariadne Barbosa Gamarra, Roberto Macedo Paranhos Filho, Antonio Conceição |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Santos Motta, Jaiza Encina, César Claudio Cáceres Guaraldo, Eliane Gonçalves, Ariadne Barbosa Gamarra, Roberto Macedo Paranhos Filho, Antonio Conceição |
dc.subject.por.fl_str_mv |
Crescimento urbano. Ordenamento territorial. Instrumentos legais urbanos. Especulação imobiliária. Urban growth. Spatial planning. Urban legal instruments. Real estate speculation. |
topic |
Crescimento urbano. Ordenamento territorial. Instrumentos legais urbanos. Especulação imobiliária. Urban growth. Spatial planning. Urban legal instruments. Real estate speculation. |
description |
The objective of this study is to adapt the calculations of the Pasture Degradation Index (GDI) to the Brazilian savannah using medium spatial resolution satellite image for the dry season. Vegetation cover is the main evaluation parameter used to calculate the GDI. The extreme ranges of the grazing class were determined by the NDVI histogram of a single date. Pasture cover was distinguished into five classes called Vegetable Pasture Cover (GVC), derived from NDVI and compared with five other classes derived from field photographs, named Green Coverage Percentage (GCP). The similarity between GVC and GVP demonstrated that GVC can be used to classify pasture cover. As a product of GVC, GDI was obtained. The GDI showed that pasture degradation in Paraíso das Águas is very serious. Extremely severe and Severe degradation occupy 9.28% and 25.22% of the study area, moderate and light degradation of pasture occupy 8.29% and 4.50%, respectively, and the non-degradation area covers 1.43 % of pastures. The results suggest the possibility of applying the GDI, originally developed for natural fields and multitemporal remote sensing data, to evaluate the conditions of the tropical savanna planted fields by means of a unique image. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54817 10.14393/RCG228054817 |
url |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54817 |
identifier_str_mv |
10.14393/RCG228054817 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54817/31417 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Caminhos de Geografia; Vol. 22 No. 80 (2021): Abril; 201-219 Caminhos de Geografia; Vol. 22 Núm. 80 (2021): Abril; 201-219 Caminhos de Geografia; v. 22 n. 80 (2021): Abril; 201-219 1678-6343 reponame:Caminhos de Geografia instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Caminhos de Geografia |
collection |
Caminhos de Geografia |
repository.name.fl_str_mv |
Caminhos de Geografia - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
flaviasantosgeo@gmail.com |
_version_ |
1797067017709158400 |