scholarly journals Mapping and Classification of Use Only in the Municipality of Ulianópolis-PA: Dynamics of the Landscape in the Hydrographic Micro-basin of the Cabeludo River

2021 ◽  
pp. 29-36
Author(s):  
Maiara dos Santos Sousa ◽  
Letícia do Socorro Cunha ◽  
Renata Adelaide Pluta ◽  
Vanessa de Oliveira Faria ◽  
Karlene Fernandes de Almeida ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Supervised Classification ◽  
Temporal Dynamics ◽  
Environmental Risks ◽  
Agricultural Activity ◽  
Land Occupation ◽  
Thematic Map ◽  
Production Models

The search for economic development, in its most varied production models, anthropic actions have caused great environmental impacts, changing the environment and consequently causing environmental risks in different ways. In this sense, this work aimed to map the use and occupation of land through the spatial temporal dynamics of the hydrographic landscape of the Rio Cabeludo, in the municipality of Ulianópolis - PA, using integrated techniques of remote sensing and geoprocessing. Through the images, the supervised classification of the area was carried out, using the ENVI software for digital image processing and ArcGIS software for the elaboration of the thematic map. Some classes were investigated, such as urban area, exposed soil, temporary tillage, permanent tillage, dense vegetation, scrub, pasture, hydrography, cloud, shade, it is noteworthy that not all classes were repeated in the analyzed period. The evaluation of the studied area showed that there were significant changes in some classes. The identified classes reflect the dynamics of agricultural activity and not commercial plantation areas or large tracts of land. The work showed the possibility and importance of using geoprocessing techniques to monitor the territory and manage the environment, enabling better forms of land occupation and use of natural resources.

scholarly journals Remote sensing appraisal of Lake Chad shrinkage connotes severe impacts on green economics and socio-economics of the catchment area

2017 ◽  
Vol 4 (11) ◽  
pp. 171120 ◽  
Author(s):  
Olapeju Y. Onamuti ◽  
Emmanuel C. Okogbue ◽  
Israel R. Orimoloye
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Catchment Area ◽  
Supervised Classification ◽  
Economic Status ◽  
Land Use Land Cover ◽  
Economic Activities ◽  
Lake Chad ◽  
Border Communities

Lake Chad commonly serves as a major hub of fertile economic activities for the border communities and contributes immensely to the national growth of all the countries that form its boundaries. However, incessant and multi-decadal drying via climate change pose greater threats to this transnational water resource, and adverse effects on ecological sustainability and socio-economic status of the catchment area. Therefore, this study assessed the extent of shrinkage of Lake Chad using remote sensing. Landsat imageries of the lake and its surroundings between 1987 and 2005 were retrieved from Global Land Cover Facility website and analysed using Integrated Land and Water Information System version 3.3 (ILWIS 3.3). Supervised classification of area around the lake was performed into various land use/land cover classes, and the shrunk part of its environs was assessed based on the land cover changes. The shrinkage trend within the study period was also analysed. The lake water size reduced from 1339.018 to 130.686 km 2 (4.08–3.39%) in 1987–2005. The supervised classification of the Landsat imageries revealed an increase in portion of the lake covered by bare ground and sandy soil within the reference years (13 490.8–17 503.10 km 2 ) with 4.98% total range of increase. The lake portion intersected with vegetated ground and soil also reduced within the period (11 046.44–10 078.82 km 2 ) with 5.40% (967.62 km 2 ) total decrease. The shrunk part of the lake covered singly with vegetation increased by 2.74% from 1987 to 2005. The shrunk part of the lake reduced to sand and turbid water showed 5.62% total decrease from 1987 to 2005 and a total decrease of 1805.942 km 2 in area. The study disclosed an appalling rate of shrinkage and damaging influences on the hydrologic potential, eco-sustainability and socio-economics of the drainage area as revealed using ILWIS 3.3.

scholarly journals Mapeamento do Uso e Ocupação do Solo no Município de Belém de São Francisco-PE nos Anos de 1985 e 2010 (Mapping of Use and Occupancy of Soil in Town of Belém de São Francisco-PE in Years of 1985 and 2010)

2015 ◽  
Vol 7 (5) ◽  
pp. 859 ◽  
Author(s):  
Janaina Maria Oliveira de Assis ◽  
Ludmilla Oliveira Calado ◽  
Werônica Meira Souza ◽  
Maria do Carmo Sobral
Keyword(s):  
Remote Sensing ◽  
San Francisco ◽  
Supervised Classification ◽  
Bare Soil ◽  
Geographic Information ◽  
Gis And Remote Sensing ◽  
Landsat 5 Tm ◽  
Spatio Temporal ◽  
The City

R E S U M O Este artigo tem como objetivo mapear o uso e ocupação do solo no município de Belém de São Francisco, localizado na mesorregião do São Francisco, Pernambuco, na porção semiárida do nordeste brasileiro. Foram utilizadas ferramentas de Sistemas de Informações Geográficas (SIGs) e técnicas de sensoriamento remoto. Foi realizada uma classificação não-supervisionada do uso e ocupação do solo, onde foi feita a identificação de quatro temas: corpos d’água, vegetação densa, vegetação rasteira e solo exposto/área urbana, nos diferentes anos de 1985 e 2010. As imagens utilizadas foram do sensor Landsat 5 TM, coletadas no acervo de imagens do INPE. Os mapas foram elaborados no software ArcGIS 10.1, utilizando o sistema de coordenadas Sirgas2000, no fuso 24S. Os resultados mostraram diferentes fases de uso e ocupação do solo, apresentando diferentes causas de sua variação espaço-temporal, incluindo mudanças nos recursos hídricos, na vegetação e consequentemente na ocupação urbana do município.    A B S T R A C T This article aims to map the use and occupation of land in the city of Bethlehem in San Francisco , located in the middle region of the San Francisco PE in semiarid northeastern part of Brazil . Geographic Information Systems ( GIS ) and remote sensing tools were used . Water bodies , dense vegetation , low vegetation and bare soil / urban area in different years 1985 and 2010 : methodology as a non - supervised classification of the use and occupation of land , where the identification of four themes was done was done. The images used were from Landsat 5 TM , collected in the collection of images from INPE . The maps were drawn with ArcGIS 10.1 software , using SIRGAS2000 coordinate system , the spindle 24S . The results showed different phases of use and occupation of land , with different causes of their spatio-temporal variation , including changes in water resources , vegetation and consequently the urban occupation of the city .Keywords: Use and land cover, remote sensing, geographic information system.  

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