基于Landsat多光谱数据的巴西itarema - ceear市土地利用和土地覆盖分析

Jose Nelson Do Nascimento Neto, Elenilton Bezerra Uchoa
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引用次数: 0

摘要

这项工作调查了伊塔雷马市的土地利用和土地覆盖过程。地理坐标:西经39º54 ' 54 ",西经39º55 ' 13 ",位于塞埃尔州北部,面积为720.7平方公里,属半干旱区。本研究利用Landsat 5和8系列轨道遥感数据,分析2000 - 2020年伊塔雷马市土地利用和土地覆盖的变化,评价其景观的演化行为。使用的方法是文献综述(Leite Rosa 2012)和IBGE土地使用技术人员手册(2013)。应用了与2000年和2020年分别记录的陆地卫星5号和8号系列轨道图像相关的技术程序。采用预处理和光谱波段进行成像处理,Landsat 5和Landsat 8在ENVI 4.3中分别对B5 -中红外、B4 -近红外和B2 -绿色进行处理,B6 - SWIR-1进行处理,B5 -近红外和B4 -红色进行处理。采用MAX-VER方法对半自动插件进行监督分类,并考虑了7种使用类型。结果表明:植被密集的类型从2000年的52.84%减少到2020年的25.71%,退化面积从2000年的7.47%增加到2020年的16.03%;最后,我们强调了遥感在观察景观演变和解释使用类型方面的重要性。我们发现退化地区和茂密植被的类别发生了显著变化,这两者都与市政PIB剖面的变化有关。
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Analysis Land Use and Land Cover of the Municipality of Itarema-Ceará- Brazil based on Landsat Multispectral Data
This work investigated the process of land use and land cover in the municipality of Itarema. It is located in the geographic coordinates of Latitude (S) 2º 55’ 13” and Longitude (W) 39º 54’ 54” in the northern region of the state of Ceará, with an area of 720.7 km² in the semi-arid region. The objective of this study was to analyze the changes in land use and land cover in the municipality of Itarema for the period from 2000 to 2020, from Landsat 5 and 8 series orbital remote sensing data to evaluate the evolutionary behavior of the landscape. The methodology used was the literary review in (Leite Rosa 2012) and IBGE Land Use Technician Manual (2013). Technical procedures related to orbital images from the Landsat 5 and 8 series recorded respectively 2000 and 2020 were applied. Imaging treatment was performed with preprocessing and spectral bands, B5 - Medium infrared, B4 - Near infrared and B2 - Green was processed for Landsat 5 and B6 - SWIR-1, B5 - Near infrared and B4 - Red for Landsat 8 in ENVI 4.3. The classification supervised in the Semi-Automatic Plug-in was performed by the MAX-VER method and seven types of use were considered. The results point to a significant change in the typology of dense vegetation from 52.84% in 2000 to a reduction of 25.71% in 2020, followed by the increase in degraded areas from 7.47% in 2000 to 16.03% in 2020. Final considerations, we highlight the importance of remote sensing in observations of landscape evolution and in the interpretation of the typology of use. We identified significant changes in the classes of degraded areas and dense vegetation, both associated supported by the change in the PIB profile of the municipality.
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来源期刊
Anuario do Instituto de Geociencias
Anuario do Instituto de Geociencias Social Sciences-Geography, Planning and Development
CiteScore
0.70
自引率
0.00%
发文量
45
审稿时长
28 weeks
期刊介绍: The Anuário do Instituto de Geociências (Anuário IGEO) is an official publication of the Universidade Federal do Rio de Janeiro (UFRJ – CCMN) with the objective to publish original scientific papers of broad interest in the field of Geology, Paleontology, Geography and Meteorology.
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