Rayanna Barroso de Oliveira Alves, Hernández Silva, José Coelho de Araújo Filho, Marco A. O. Domingues, J. Albuquerque
{"title":"利用植被覆盖指数(ICV)识别巴西伯南布哥省bet<e:1>尼亚、弗洛雷斯塔和伊塔库鲁巴市易受沙漠化影响地区","authors":"Rayanna Barroso de Oliveira Alves, Hernández Silva, José Coelho de Araújo Filho, Marco A. O. Domingues, J. Albuquerque","doi":"10.29150/jhrs.v9.6.p343-352","DOIUrl":null,"url":null,"abstract":"Climate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Use of Vegetation Cover Index (ICV) to Identify Susceptible Areas to Desertification Process in the Municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil\",\"authors\":\"Rayanna Barroso de Oliveira Alves, Hernández Silva, José Coelho de Araújo Filho, Marco A. O. Domingues, J. Albuquerque\",\"doi\":\"10.29150/jhrs.v9.6.p343-352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.\",\"PeriodicalId\":332244,\"journal\":{\"name\":\"Journal of Hyperspectral Remote Sensing\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hyperspectral Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29150/jhrs.v9.6.p343-352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hyperspectral Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29150/jhrs.v9.6.p343-352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of Vegetation Cover Index (ICV) to Identify Susceptible Areas to Desertification Process in the Municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil
Climate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.