Use of remote sensing to identify areas at risk of degradation in the semi-arid region

One of the most effective procedures in the evaluation of degraded areas has been the use of remote sensing. The aim of this work was to evaluate the temporal dynamics of the NDVI and rainfall in detecting the degradation of natural resources in a semi-arid region of Brazil. The area under study is...

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Bibliographic Details
Published in:Ciência agronômica 2018-07, Vol.49 (3), p.420-429
Main Authors: Aquino, Deodato do Nascimento, Rocha Neto, Odílio Coimbra da, Moreira, Maurício Alves, Teixeira, Adunias dos Santos, Andrade, Eunice Maia de
Format: Article
Language:English
Subjects:
AGRONOMY
Arid regions
Arid zones
Caatinga
Correlation analysis
Degradation
Desertificação
Drought
Dry season
Image acquisition
Land use
Landsat TM5
Natural resources
NDVI
Rainfall
Reflectance
Regeneration
Remote sensing
Semi arid areas
Semiarid lands
Statistical analysis
Subsistence agriculture
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Summary:One of the most effective procedures in the evaluation of degraded areas has been the use of remote sensing. The aim of this work was to evaluate the temporal dynamics of the NDVI and rainfall in detecting the degradation of natural resources in a semi-arid region of Brazil. The area under study is located to the west of the district of Tauá, in the State of Ceará, with a predominance of shrub-like caatinga forest. Rainfall data was obtained from FUNCEME. Ten images (dry season) were acquired from a 27-year historical series (1985-2011) from the TM/LANDSAT5 sensor, later converted to surface reflectance using the FLAASH/ENVI extension; NDVI indices were obtained and divided into six classes corresponding to land usage and occupation. The mean values of the NDVI classes were submitted to statistical analysis and compared by T-test (p
ISSN:1806-6690
0045-6888
1806-6690
DOI:10.5935/1806-6690.20180047