Spectral analysis for identification of plant ecosystems in Brazilian Atlantic Forest / Análise espectral para identificação de ecossistemas vegetais na Mata Atlântica Brasileira

Q3 Agricultural and Biological Sciences

Brazilian Journal of Food Technology Pub Date : 2022-05-12 DOI:10.38152/bjtv5n2-003

Eric dos Santos, H. P. da Silva, R. B. D. O. Alves, Jose Severino Bento Da Silva, Jones Oliveira De Albuquerque

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引用次数: 0

Abstract

The creation of the Guadeloupe EPA aimed to protect natural ecosystems and promote sustainable development in atlantic forest fragments existing in Pernambuco, Brazil. However, even with the State Decree formalizing these objectives, the ecosystems of the Atlantic Forest Biome present at the site suffered serious data by anthropic actions. For the study of these ecosystems, spectral analysis was an excellent channel of connection between geotechnologies and phytogeography of the site, allowing to study the location and type of vegetation in the extension of the Conservation Unit. From this perspective, the present research aimed to differentiate the atlantic forest ecosystems through spectral analysis. The results of spectral analysis allowed to indicate that in the identification of the Dense Ombrófila Forest the best specific combination is Atmospheric Penetration (PA) in its Pixel (PI) α. Mangrove in turn can be better identified in Infrared Vegetation (IVV) - Ranging from 150 to 220 Ash Levels (NC) - in pi α and also in PI β and PI γ varying in values very close to 50NC. Regarding restinga it is estimated that it can be accurately identified in Agriculture (AG), especially in pi γ, and also in Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI), in all its Pixels. em seu Pixel (PI) α. O Mangue por sua vez pode ser melhor identificado no Infravermelho de Vegetação (IVV) - Variando de 150 a 220 Níveis de Cinza (NC) - no PI α e também nos PI β e PI γ variando em valores muito próximos aos 50NC. No que se refere a restinga estima-se que a mesma possa ser identificada de forma precisa em Agriculture (AG), sobretudo no PI γ, e também em Enhanced Vegetation Index (EVI) e Normalized Difference Water Index (NDWI), em todos seus Pixels. Palavras-chave: leitura de pixel, sensoriamento remoto, mangue, floresta ombrófila, restinga.

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巴西大西洋森林植物生态系统鉴定的光谱分析/巴西大西洋森林植物生态系统鉴定的光谱分析

瓜德罗普岛环境保护局的建立旨在保护自然生态系统，促进巴西伯南布哥州大西洋森林碎片的可持续发展。然而，即使国家法令正式确定了这些目标，该地点存在的大西洋森林生物群系的生态系统仍然受到人为活动的严重影响。对于这些生态系统的研究，光谱分析是连接地质技术和地点植物地理学的一个很好的渠道，可以研究保护单位扩展的植被的位置和类型。从这个角度出发，本研究旨在通过光谱分析对大西洋森林生态系统进行区分。光谱分析结果表明，在浓密Ombrófila森林的识别中，最佳的特异组合是其像元(PI) α中的大气穿透(PA)。红树林可以在红外植被(IVV)中更好地识别-范围从150到220灰分水平(NC) - pi α和pi β和pi γ的值非常接近50NC。关于restinga，估计在农业(AG)中，特别是在pi γ中，以及在增强植被指数(EVI)和归一化差水指数(NDWI)中，可以准确识别其所有像素。em seu像素(PI) α。O Mangue por sua vez pode ser melhor identificado no Infravermelho de vegeta (IVV) - Variando de 150 a 220 Níveis de Cinza (NC) - no PI α e tamb - no PI β e PI γ Variando em valores muito próximos aos 50NC。No que se指的是一种新的估算方法，即在农业(AG)、农业生产(AG)、农业生产(PI)、农业生产(PI)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)、农业生产(ei)等方面。Palavras-chave: leitura de pixel, sensoriamento remoto, mangue, floresta ombrófila, restinga。

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来源期刊

Brazilian Journal of Food Technology Agricultural and Biological Sciences-Food Science

CiteScore

2.20

自引率

0.00%

发文量

审稿时长

35 weeks

期刊介绍： The Brazilian Journal of Food Technology (BJFT) is an electronic rolling pass publication with free access, whose purpose is to publish unpublished articles based on original research results and technological information that significantly contribute to the dissemination of new knowledge related to production and evaluation of food in the areas of science, technology, food engineering and nutrition (non-clinical). Manuscripts of national or international scope are accepted, presenting new concepts or experimental approaches that are not only repositories of scientific data. The Journal publishes original articles, review articles, scientific notes, case reports, and short communication in Portuguese and English. The submission of a manuscript presupposes that the same paper is not under analysis for publication in any other divulging vehicle. Articles specifically contemplating analytical methodologies will be accepted as long as they are innovative or provide significant improvement to existing methods. It is at the discretion of the Editors, depending on the subject relevance, the acceptance of works with test results of industrialized products without the information necessary to manufacture them. Papers aimed essentially at commercial propaganda will not be accepted.