Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon
The objective of this study is to show the operational capacity of a "linear spectral mixture model" using TM/Landsat data for the characterization/monitoring of the annual deforestation and the timber logging exploitation process in the Amazon. In the methodological procedure, the original TM bands...
| Autor principal: | Santos, João Roberto dos |
|---|---|
| Outros Autores: | Shimabukuro, Yosio Edemir, Duarte, Valdete, Graça, Paulo Maurício Lima Alencastro de, Silva, Patrícia Guedes da |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
Proceedings of SPIE - The International Society for Optical Engineering
2020
|
| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/19980 |
| id |
oai:repositorio:1-19980 |
|---|---|
| recordtype |
dspace |
| spelling |
oai:repositorio:1-19980 Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon Santos, João Roberto dos Shimabukuro, Yosio Edemir Duarte, Valdete Graça, Paulo Maurício Lima Alencastro de Silva, Patrícia Guedes da Deforestation Image Analysis Land Use Logging (forestry) Radar Imaging Vegetation Linear Spectral Mixture Model Tropical Rain Forest Remote Sensing The objective of this study is to show the operational capacity of a "linear spectral mixture model" using TM/Landsat data for the characterization/monitoring of the annual deforestation and the timber logging exploitation process in the Amazon. In the methodological procedure, the original TM bands were initially converted to "vegetation", "shade" and "soil" fraction images, derived from the linear spectral mixture model. After the selection of fraction images, the scene segmentation was made using a region growing algorithm, and then an unsupervised classifier (per region) was applied. Afterwards, the thematic polygons were manually edited to generate the final maps. An analysis was made on the proportion of "vegetation", "shade" and "soil" components, for primary forest, selective logging, regrowth, and deforestation areas, for the timeframe 1997-2001. This analysis demonstrates, through the ternary diagram, that the variations in the spatial attributes of these component fractions were caused by a land cover/land use change process. A set of images and maps, showing the temporal identification of deforested and timber logging exploitation areas is shown, as a result of the operational use of this technique. The spatial distribution of these landscape changes provides subsidies to environmental agencies for the control and enforcement of specific conservation policies referring to the Amazon forest resources. 2020-06-16T17:29:10Z 2020-06-16T17:29:10Z 2002 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/19980 10.1117/12.462387 en Volume 4879, Pags. 320-325 Restrito Proceedings of SPIE - The International Society for Optical Engineering |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Deforestation Image Analysis Land Use Logging (forestry) Radar Imaging Vegetation Linear Spectral Mixture Model Tropical Rain Forest Remote Sensing |
| spellingShingle |
Deforestation Image Analysis Land Use Logging (forestry) Radar Imaging Vegetation Linear Spectral Mixture Model Tropical Rain Forest Remote Sensing Santos, João Roberto dos Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| topic_facet |
Deforestation Image Analysis Land Use Logging (forestry) Radar Imaging Vegetation Linear Spectral Mixture Model Tropical Rain Forest Remote Sensing |
| description |
The objective of this study is to show the operational capacity of a "linear spectral mixture model" using TM/Landsat data for the characterization/monitoring of the annual deforestation and the timber logging exploitation process in the Amazon. In the methodological procedure, the original TM bands were initially converted to "vegetation", "shade" and "soil" fraction images, derived from the linear spectral mixture model. After the selection of fraction images, the scene segmentation was made using a region growing algorithm, and then an unsupervised classifier (per region) was applied. Afterwards, the thematic polygons were manually edited to generate the final maps. An analysis was made on the proportion of "vegetation", "shade" and "soil" components, for primary forest, selective logging, regrowth, and deforestation areas, for the timeframe 1997-2001. This analysis demonstrates, through the ternary diagram, that the variations in the spatial attributes of these component fractions were caused by a land cover/land use change process. A set of images and maps, showing the temporal identification of deforested and timber logging exploitation areas is shown, as a result of the operational use of this technique. The spatial distribution of these landscape changes provides subsidies to environmental agencies for the control and enforcement of specific conservation policies referring to the Amazon forest resources. |
| format |
Trabalho Apresentado em Evento |
| author |
Santos, João Roberto dos |
| author2 |
Shimabukuro, Yosio Edemir Duarte, Valdete Graça, Paulo Maurício Lima Alencastro de Silva, Patrícia Guedes da |
| author2Str |
Shimabukuro, Yosio Edemir Duarte, Valdete Graça, Paulo Maurício Lima Alencastro de Silva, Patrícia Guedes da |
| title |
Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| title_short |
Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| title_full |
Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| title_fullStr |
Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| title_full_unstemmed |
Linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the Brazilian Amazon |
| title_sort |
linear spectral mixture model as a tool for monitoring deforestation and timber exploitation in the brazilian amazon |
| publisher |
Proceedings of SPIE - The International Society for Optical Engineering |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/19980 |
| _version_ |
1787142618374733824 |
| score |
11.755432 |