Monitoring of degradation in the Caatinga biome in the semi-arid northeastern region, Brazil

 

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Nhiều tác giả: Silva, Douglas Alberto de Oliveira, Montenegro, Suzana Maria Gico Lima, Lopes, Pabricio Marcos Oliveira, Silva, Jhon Lennon Bezerra, Santos, José Ediclécio Barbosa dos, da Silva, Edvânia Matias, Correio, Adiel Felipe da Silva Cruz, dos Santos, Wellington Manoel, Acuña Chinchilla, Sisgo Rachith, Silva, Ricardo Barros, Cesar, Dayane do Nascimento
Định dạng: artículo original
Ngày xuất bản:2020
Miêu tả:Degradation of Caatinga biome has created desertification processes in several areas, inducing big microclimate and surface changes. Therefore, it is fundamental develop research methods capable of identifying areas under degradation process. Satellite images in different spatial, temporal, radiometric and spectral resolutions are being used to monitor big areas from several biomes worldwide. The objective of this study was to evaluate and quantify the degree of degradation and preservation of the Caatinga biome, using geoprocessing methods and remote sensing products, using surface data and Landsat-8 images for 2013, 2014 and 2015. Remote sensing methods were used to estimate the Normalized Difference Vegetation Index (NDVI), surface albedo (α) and Moving Standard Deviation Index (MDSI). The results showed that the vegetation indexes and the techniques of degradation and change detection satisfactorily identified the behavior of the surrounding vegetation in the study area, standing out as good indices for degradation processes in the semiarid. It was concluded that change detection and classification by decision tree methods were efficient in the identif ication of anthropized areas during the experimental period.
Quốc gia:Kérwá
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Kérwá
Ngôn ngữ:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/85168
Truy cập trực tuyến:https://periodicos.ufpe.br/revistas/rbgfe/article/viewFile/243067/36914
https://hdl.handle.net/10669/85168
Từ khóa:Caatinga
Decision tree
Degradation
NDVI
Remote Sensing
Árbol de decisión
Degradación