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- Title
Monitoramento da cobertura vegetal por sensoriamento remoto no semiárido brasileiro através de índices de vegetação.
- Authors
SILVA, Caio Victor Santos; da SILVA, Jhon Lennon Bezerra; de Albuquerque MOURA, Geber Barbosa; LOPES, Pabrício Marcos Oliveira; NASCIMENTO, Cristina Rodrigues; da SILVA, Landson Carlos
- Abstract
Measures are needed aimed at the protection and conservation of water and natural resources quickly and efficiently. Remote sensing techniques are essential for the environmental monitoring of resources in the semiarid region in space and time. Aimed to monitor and analyze the dynamics of vegetation cover through the spatial-temporal variability of the surface albedo and indices of vegetation in the Caatinga region of the Brazilian semiarid by remote sensing. The study area is the municipality of Arcoverde, located in the semiarid of Pernambuco. The study was developed through six orbital images of Landsat-5 of the TM sensor. The digital processing of the biophysical parameters was performed by the SEBAL algorithm. The results were analyzed through descriptive statistics and their variability. Possibly degraded areas were identified by high albedo values and significantly lower vegetation indices, located in the southwest and northwest of the region. The indexes showed similar behavior, mainly in the dry period, with low values being close to zero, areas affected by the dry period in the semiarid. The SAVI presented higher accuracy, highlighting better spectral response of the vegetation. Remote sensing promoted adequate space-time monitoring, highlighting mainly the period classified as climatically dry through the albedo and vegetation indexes.
- Publication
Nativa, 2019, Vol 7, Issue 6, p708
- ISSN
2318-7670
- Publication type
Article
- DOI
10.31413/nativa.v7i6.7646