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https://repositorio.ufrn.br/handle/123456789/25614| Título: | Analysis of eviromenmentol parameters in Gilbués - Pi Using Satellite Imagens |
| Autor(es): | Santos, Élder Guedes dos Santos, Carlos Antonio Costa dos Bezerra, Bergson Guedes |
| Palavras-chave: | Environmental degradation;Remote sensing;SEBAL;S-SEBI |
| Data do documento: | 2014 |
| Editor: | Universidade Federal do Rio Grande do Norte |
| Referência: | SANTOS, Elder Guedes ; SANTOS, Carlos Antônio Costa; BEZERRA, Bergson Guedes . Analysis of eviromenmentol parameters in Gilbués - Pi Using Satellite Imagens. Journal of Hyperspectral Remote Sensing, v. 04, p. 100-110, 2014. Disponível em: <https://periodicos.ufpe.br/revistas/jhrs/article/view/22701> Acesso em 19 abr. 2018. |
| Resumo: | ABSTRACT: This paper aims to analyze the desertification process in the Gilbués region, southwestern portion of Piauí state, through remote sensing techniques with a perspective of verify whether there is a relationship of environmental parameters (surface albedo, NDVI, surface temperature, radiation and energy balances, as well as nonevaporative fraction) with the desertification process presented in this study area. We used images from the satellite Landsat 5-TM of August 19, 1994 and August 15, 2010 and applied the SEBAL and S-SEBI algorithms for obtaining environmental parameters analyzed. It was diagnosed cover removal of native vegetation, which may indicate areas undergoing to desertification and/or environmental degradation. Similarly, there was a reduction of surface net radiation, increased soil heat fluxes, reduction of energy used for evaporation and increases in the energy used for heating the soil and air, causing the temperature increase, and a systematic increase of the soil moisture deficit in the studied region. |
| URI: | https://repositorio.ufrn.br/jspui/handle/123456789/25614 |
| Aparece nas coleções: | CCET - DCAC - Artigo publicado em periódicos |
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| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Analysis of Eviromenmentel Parameters _2014.pdf | 1,53 MB | Adobe PDF |  Visualizar/Abrir |
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