Arid
DOI10.1007/s40808-019-00614-x
Mathematical modeling and use of orbital products in the environmental degradation of the Araripe Forest in the Brazilian Northeast
Barros Santiago, Dimas de; Correia Filho, Washington Luiz Felix; de Oliveira-Junior, Jose Francisco; da Silva Junior, Carlos Antonio
通讯作者Santiago, DD
来源期刊MODELING EARTH SYSTEMS AND ENVIRONMENT
ISSN2363-6203
EISSN2363-6211
出版年2019
卷号5期号:4页码:1429-1441
英文摘要Vegetation cover is indispensable in the process of inhibiting environmental degradation. In the Northeast of Brazil, especially in the Araripe Nacional Forest (FLONA), this problem is related to the removal of vegetation for industrial and domestic use, in addition to the expansion of livestock. Thus, the objective of this work was to evaluate the environmental degradation in the area of FLONA from orbital products via remote sensing with the aid of mathematical modeling. For this, two orbital images of the orbit 65, point 217 were used for processing and obtaining the variables: (1st) July 7, 2003 from TM/Landsat-5 and (2nd) July 15, 2018 from OLI/Landsat-8. In mathematical modeling, the multiple linear regression (MRL) model was applied to the orbital products: land surface temperature (LST), normalized burn ratio (NBR), Normalized Difference Moisture Index, Normalized Difference Water Index (NDWI) to estimate the Soil Adjusted Vegetation Index (SAVI) and hence to predict the Normalized Difference Vegetation Index (NDVI). All the processing to obtain the results was carried out in the software R version 3.4-1. O NDVI pointed out a significant increase of 72.05% in dense vegetation, from 158.33 to 272.40 km(2). However, vegetation is more likely to suffer from stress due to the increase in LST at 5 degrees C, which increased from 17.5 to 25.0 degrees C, reaching its highest value of 42 degrees C in July 2011. The MRL results indicated that the models have an excellent predictive capacity in the estimation of degradation, with R-2 value greater than 92% of the explained variance. In addition, the MAE and root mean square error were less than 0.03 for both models. The models pointed out that SAVI, NBR and NDWI are responsible for the variability of NDVI in environmental degradation of FLONA. Highlight for the theoretical-conceptual model that can be applied to any semi-arid and highly-sensitive region to changes in the rainfall pattern.
英文关键词Vegetal cover Orbital products Use and occupation of the soil
类型Article
语种英语
收录类别ESCI
WOS记录号WOS:000491437600020
WOS关键词LAND-SURFACE TEMPERATURE ; DIFFERENCE WATER INDEX ; TIME-SERIES ; SOIL PROPERTIES ; VEGETATION ; NDVI ; REGENERATION ; CERRADO ; IMPACTS ; HARVEST
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/333868
作者单位[Barros Santiago, Dimas de] Fed Univ Campina Grande UFCG, Unidade Acad Ciencias UACA, Postgrad Program Meteorol, BR-58428830 Campina Grande, Paraiba, Brazil; [Correia Filho, Washington Luiz Felix; de Oliveira-Junior, Jose Francisco] Fed Univ Alagoas UFAL, Inst Atmospher Sci ICAT, BR-57072260 Maceio, Alagoas, Brazil; [de Oliveira-Junior, Jose Francisco] Fed Fluminense Univ UFF, Postgrad Program Biosyst Engn PGEB, BR-24220900 Niteroi, RJ, Brazil; [da Silva Junior, Carlos Antonio] State Univ Mato Grosso UNEMAT, Dept Geog, BR-78555000 Sinop, Mato Grosso, Brazil
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Barros Santiago, Dimas de,Correia Filho, Washington Luiz Felix,de Oliveira-Junior, Jose Francisco,et al. Mathematical modeling and use of orbital products in the environmental degradation of the Araripe Forest in the Brazilian Northeast[J],2019,5(4):1429-1441.
APA Barros Santiago, Dimas de,Correia Filho, Washington Luiz Felix,de Oliveira-Junior, Jose Francisco,&da Silva Junior, Carlos Antonio.(2019).Mathematical modeling and use of orbital products in the environmental degradation of the Araripe Forest in the Brazilian Northeast.MODELING EARTH SYSTEMS AND ENVIRONMENT,5(4),1429-1441.
MLA Barros Santiago, Dimas de,et al."Mathematical modeling and use of orbital products in the environmental degradation of the Araripe Forest in the Brazilian Northeast".MODELING EARTH SYSTEMS AND ENVIRONMENT 5.4(2019):1429-1441.
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