scholarly journals Transformações do uso e cobertura da terra na bacia hidrográfica do rio Murucupi, Barcarena, Pará

2020 ◽  
Vol 13 (5) ◽  
pp. 2340
Author(s):  
Layse Gomes Furtado ◽  
Gundisalvo Piratoba Morales ◽  
Davi Farias Da Silva ◽  
Altem Nascimento Pontes
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Environmental Impacts ◽  
Population Expansion ◽  
Forest Vegetation ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Urbanized Area ◽  
Urbanized Areas ◽  
Landsat 5 Tm

A importância de estudos que relacionem as alterações de cobertura, uso e manejo da terra são fundamentais para compreender a dinâmica da paisagem em determinadas áreas. O presente trabalho teve por objetivo analisar as transformações do uso e cobertura da terra na bacia hidrográfica do rio Murucupi, no município de Barcarena/PA, ao longo dos últimos 29 anos. Por meio de geotecnologias foi realizada a identificação, classificação e quantificação dos tipos de uso e cobertura da terra, utilizando imagens de satélite Landsat 5 TM e Landsat 8 OLI, correspondentes aos anos de 1990, 2000, 2010 e 2019. Após o processamento das imagens, os elementos encontrados no interior da bacia foram classificados e analisados para a compreensão do seu processo de evolução ou regressão. Os resultados apontaram que houve um crescimento progressivo de áreas urbanizadas desde 1990, em detrimento da vegetação florestal. Porém, somente em 2000, foi observada a crescente evolução das áreas sem vegetação, onde 21,19% correspondia a área urbanizada e 4,08% a área de solo exposto. Em 2010, foi registrado uma perda superior a 50% de vegetação florestal, dando espaço, principalmente, para área urbanizada (35,01%). Diferentemente do ano 2000, em 2019 mais de 50% (1,505 ha) da bacia encontrava-se antropizada. Conclui-se que a maioria de áreas de floresta foram convertidas em áreas urbanizadas, onde a expansão delas é proporcional a expansão industrial e populacional do munícipio. Tais mudanças propiciaram diversos impactos ambientais, dentre eles o intenso desflorestamento e a poluição do solo e do rio Murucupi por dejetos domésticos e industriais. Land use and land cover transformations in the Murucupi river basin, Barcarena, Pará A B S T R A C TThe importance of studies that relate to changes in land cover, use and management are fundamental to understand the dynamics of the landscape in certain areas. The present work aims to analyze the transformations of land use and coverage in the hydrographic basin of the Murucupi River, in the municipality of Barcarena / PA, over the past 29 years. Geotechnologies were used to identify, classify and quantify the types of land use and land cover, using satellite images Landsat 5 TM and Landsat 8 OLI, corresponding to the years 1990, 2000, 2010 and 2019. After processing the images, the elements found inside the basin were classified and analyzed to understand their evolution or regression process. The results showed that there has been a progressive growth in urbanized areas since 1990, to the detriment of forest vegetation. However, only in 2000, there was an increasing evolution of areas without vegetation, where 21.19% corresponded to the urbanized area and 4.08% to the exposed soil area. In 2010, a loss of more than 50% of forest vegetation was recorded, giving space, mainly, to the urbanized area (35.01%). Unlike the year 2000, in 2019 more than 50% (1,505ha) of the basin was anthropized. It is concluded that the majority of forest areas have been converted into urbanized areas, where their expansion is proportional to the industrial and population expansion of the municipality. Such changes have led to several environmental impacts, including soil and Murucupi river pollution by domestic and industrial waste.Keywords: Landscape dynamics, Geotechnologies, Environmental impacts.

scholarly journals ALTERAÇÃO NA COBERTURA FLORESTAL DA REGIÃO NOROESTE DA AMAZÔNIA MATOGROSSENSE

Nativa ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 520
Author(s):  
Luani Rosa de Oliveira Piva ◽  
Rorai Pereira Martins Neto
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Forest Conversion ◽  
Landsat 8 ◽  
Amazon Forest ◽  
Landsat 8 Oli ◽  
Mato Grosso ◽  
The Past ◽  
Landsat 5 Tm

Nos últimos anos, a intensificação das atividades antrópicas modificadoras da cobertura vegetal do solo em território brasileiro vem ocorrendo em larga escala. Para fins de monitoramento das alterações da cobertura florestal, as técnicas de Sensoriamento Remoto da vegetação são ferramentas imprescindíveis, principalmente em áreas extensas e de difícil acesso, como é o caso da Amazônia brasileira. Neste sentido, objetivou-se com este trabalho identificar as mudanças no uso e cobertura do solo no período de 20 anos nos municípios de Aripuanã e Rondolândia, Noroeste do Mato Grosso, visando quantificar as áreas efetivas que sofreram alterações. Para tal, foram utilizadas técnicas de classificação digital de imagens Landsat 5 TM e Landsat 8 OLI em três diferentes datas (1995, 2005 e 2015) e, posteriormente, realizada a detecção de mudanças para o uso e cobertura do solo. A classificação digital apresentou resultados excelentes, com índice Kappa acima de 0,80 para os mapas gerados, indicando ser uma ferramenta potencial para o uso e cobertura do solo. Os resultados denotaram uma conversão de áreas florestais principalmente para atividades antrópicas agrícolas, na ordem de 472 km², o que representa uma perda de 1,3% de superfície de floresta amazônica na região de estudo.Palavras-chave: conversão de áreas florestais; uso e cobertura do solo; classificação digital; análise multitemporal. CHANGE IN FOREST COVER OF THE NORTHWEST REGION OF AMAZON IN MATO GROSSO STATE ABSTRACT: In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil’s land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuanã and Rondolândia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km², representing a loss of 1.3% of Amazon forest surface in the study region.Keywords: forest conversion; land use and land cover; digital classification; multitemporal analysis.

scholarly journals Análise da dinâmica do uso e cobertura da terra do Município de Moju-PA, utilizando Google Earth Engine

2020 ◽  
Vol 13 (5) ◽  
pp. 2332
Author(s):  
Samuel Salin Gonçalves De Souza ◽  
Jones Remo Barbosa Vale ◽  
Merilene Do Socorro Silva Costa ◽  
Bruna Ribeiro Chagas ◽  
Carolina Da Silva Gonçalves ◽  
...  
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Land Cover ◽  
Oil Palm ◽  
Google Earth ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm ◽  
Google Earth Engine ◽  
Temporal And Spatial

Em razão das grandes transformações na paisagem ocasionadas pelas principais atividades econômicas do município de Moju, como as práticas agropecuárias, esta pesquisa procurou fazer uma análise temporal e espacial das mudanças de uso e cobertura da terra na localidade, nos anos de 1999 e 2018, por meio de imagens de satélite disponibilizadas pela plataforma Google Earth Engine. Utilizou-se imagem do satélite Landsat-5/TM referente ao ano 1999, e imagem do satélite Landsat-8/OLI-TIRS correspondente ao ano de 2018, ambas disponíveis no Google Earth Engine (GEE). Realizou-se a classificação temporal e espacial de uso e cobertura da terra por meio da aplicação do algoritmo Random Forest. Utilizou-se as análises qualitativas e quantitativas para os dados mapeados, com o objetivo de realizar um detalhamento sobre a dinâmica do uso e cobertura da terra por meio de tabela e mapa. Os resultados apontam que houve uma perda de mais de 878 km² de cobertura vegetal correspondendo cerca de 12% de perda que veio em decorrência das atividades antrópicas que ocorreram em Moju, principalmente, em relação à agricultura com os cultivos de dendê, mandioca, coco e à pecuária com as áreas de pastagens, pois, juntos apresentam um aumento de mais de mais de 70% que equivalem a 1.037,0938 km². Portanto, constatou-se que o desenvolvimento econômico do município de Moju segue o padrão de desenvolvimento dos municípios amazônicos, onde ocorre a diminuição das áreas florestais para a expansão de suas atividades produtivas, como os cultivos de dendê, sendo este um dos principais indutores do desflorestamento no município. Analysis of the dynamics of the use and land coverage of the Municipality of Moju-pa, using the Google Earth Engine A B S T R A C TDue to the great transformations in the landscape caused by the main economic activities of the municipality of Moju, such as agricultural practices, this research sought to make a temporal and spatial analysis of changes in land use and coverage in the locality, in the years 1999 and 2018, by through satellite images made available by the Google Earth Engine platform. An image of the Landsat-5 / TM satellite for the year 1999 was used, and an image of the Landsat-8 / OLI-TIRS satellite for the year 2018, both available on the Google Earth Engine (GEE). The temporal and spatial classification of land use and land cover was carried out by applying the Random Forest algorithm. Qualitative and quantitative analyzes were used for the mapped data, with the aim of detailing the dynamics of land use and land cover using a table and map. The results show that there was a loss of more than 878 km² of vegetation cover, corresponding to about 12% of the loss that came as a result of the anthropic activities that occurred in Moju, mainly, in relation to agriculture with oil palm, cassava, coconut and livestock with pasture areas, because together they show an increase of more than more than 70%, which is equivalent to 1,037.0938 km². Therefore, it was found that the economic development of the municipality of Moju follows the pattern of development of the Amazonian municipalities, where there is a decrease in forest areas for the expansion of their productive activities, such as oil palm cultivation, which is one of the main drivers of the deforestation in the municipality.Keywords: deforestation; agricultural activities; transformations in the landscape.

Making Of Classification Land Cover Through Result Of Visual Data Satellite Image Analysis Landsat 8 OLI : Case Study in Tapaktuan District, South Aceh District

2021 ◽  
Vol 6 (1) ◽  
pp. 59-65
Author(s):  
Safridatul Audah ◽  
Muharratul Mina Rizky ◽  
Lindawati
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Image Classification ◽  
Satellite Image ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Sensing Technology ◽  
Open Land ◽  
Cover Class ◽  
Satellite Image Analysis

Tapaktuan is the capital and administrative center of South Aceh Regency, which is a sub-district level city area known as Naga City. Tapaktuan is designated as a sub-district to be used for the expansion of the capital's land. Consideration of land suitability is needed so that the development of settlements in Tapaktuan District is directed. The purpose of this study is to determine the level of land use change from 2014 to 2018 by using remote sensing technology in the form of Landsat-8 OLI satellite data through image classification methods by determining the training area of the image which then automatically categorizes all pixels in the image into land cover class. The results obtained are the results of the two image classification tests stating the accuracy of the interpretation of more than 80% and the results of the classification of land cover divided into seven forms of land use, namely plantations, forests, settlements, open land, and clouds. From these classes, the area of land cover change in Tapaktuan is increasing in size from year to year.

scholarly journals URBANIZATION AND IT IMPACTS TO LAND SURFACE TEMPERATURE ON SMALL MEDIUM SIZE CITY FOR YEAR 1991, 2011 AND 2018: CASE STUDY KOTA KINABALU

2020 ◽  
Vol 6 (1) ◽  
pp. 58-76
Author(s):  
Ricky Anak Kemarau ◽  
Oliver Valentine Eboy
Keyword(s):  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Hot Spot ◽  
Medium Size ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Urban Heat ◽  
Landsat 5 Tm

Transformation of land cover vegetation toward urban areas causes the temperature at urban higher to compare to suburban and rural areas, namely urban heat island (UHI) effect. The UHI has a negative impact, such a stroke heat, air pollution, green gasses emission, and electric consumption. UHI studies at a tropical country still limited due to the containment of cloud cover. Besides that, studies only focus on big cities which have residents above than 2 million. The outcome this studied important to enhance our knowledge of urban heat effect at small-medium cities and guidelines to policymaker and urban planner to discover there has effectively taken to decrease the effect of urban heat at the hot spot area. The main goal of this research about to discovered influence of urban growth and selected urban index, namely the Normalized Difference Built Index (NDBI) to LST. NDBI is an index which denotes intensity of urban built up. In the first step, we generate the LST and NDBI from Landsat 8 OLI at year 2018 and Landsat 5 TM for the year 2011 and 1991. Second, we applied the unsupervised classification of Landsat 8 OLI and Landsat 5 TM to generate the land cover maps for the years 1991, 2011, and 2018. Third of our method to examine the relationship between Land surface temperature (LST) and NDBI.  The higher value NDBI is a hot spot, and the low value is a cold spot. In the last step, we applied for Change Detection analysis using GIS to examine the land cover change between 1991 and 2018.  Our results show the higher the value of NDBI and LST at the centre of the city and the lowest value at vegetation land cover. The transformation of land cover vegetation to urban increase at countryside area and out-of-town and significantly increase of distribution of UHI. On another hand, the shows positive relationships between LST and NDBI. The output of the study provides a guideline for policymakers and town designers to develop to toward city zero carbon, sustainable and health.

scholarly journals Mapeamento de uso e cobertura da terra no município de Rondon do Pará, nos anos de 1986 e 2019 / Mapping of land use and coverage in the municipality of Rondon do Pará, in the years 1986 and 2019

2021 ◽  
Vol 4 (2) ◽  
pp. 1721-1738
Author(s):  
Gabriel Garreto Dos Santos ◽  
Ítala Duam Souza Narusawa ◽  
João Paulo Ferreira Neris ◽  
Nelson Ken Narusawa Nakakoji ◽  
Gustavo Bezerra dos Santos Lira ◽  
...  
Keyword(s):  
Land Use ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm

A Amazônia paraense, desde o período de colonização tem passado por grandes transformações incluindo modificações intensas de seus recursos naturais, como a diminuição dos recursos hídricos, a perda de centenas de hectares de florestas nativas a serviço das atividades da agropecuária que traçam um novo perfil dos territórios amazônicos pertencente ao estado do Pará. Nesse contexto, este artigo tem como objetivo mapear o uso e ocupação da terra no município de Rondon do Pará, localizado na mesorregião do sudeste, Paraense, na porção amazônica da região norte do Brasil. Foram utilizadas ferramentas de Sistemas de Informações Geográficas (SIGs) e técnicas de Sensoriamento Remoto (SR). Foi realizada uma classificação supervisionada do uso e ocupação do solo, onde foi feita a identificação de quatro classes: agricultura, hidrografia, floresta densa, e solo exposto nos diferentes anos de 1986 e 2019. As imagens utilizadas foram do sensor Landsat, sendo a imagem referente ao ano de 1986 do satélite Landsat 5 TM, e a imagem referente ao ano de 2019 do Landsat 8 OLI, ambas consultadas e realizadas os download no acervo de imagens do INPE. Os mapas foram elaborados no software QGIS 3.4, utilizando o sistema de coordenadas sirgas 2000, no fuso 22 S. Os resultados apresentam diferentes fases de uso e ocupação da terra, apresentando diferentes causas de sua variação espaço-temporal, incluindo mudanças bastante expressivas nos temas analisados, especialmente em relação a floresta nativa em que houve uma redução de 22 % de floresta quando comparamos os resultados calculados da classificação de 1986 para os valores da classificação do ano de 2019, isso se dá principalmente devido ao aumento das expansões agrícolas e pecuaristas da região em estudo.

scholarly journals PIXEL-BASED CLASSIFICATION ANALYSIS OF LAND USE LAND COVER USING SENTINEL-2 AND LANDSAT-8 DATA

2017 ◽  
Vol XLII-4/W6 ◽  
pp. 91-93 ◽  
Author(s):  
A. Sekertekin ◽  
A. M. Marangoz ◽  
H. Akcin
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Supervised Classification ◽  
Accuracy Assessment ◽  
Kappa Statistics ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Landsat 8 Oli ◽  
Sentinel 2

The aim of this study is to conduct accuracy analyses of Land Use Land Cover (LULC) classifications derived from Sentinel-2 and Landsat-8 data, and to reveal which dataset present better accuracy results. Zonguldak city and its near surrounding was selected as study area for this case study. Sentinel-2 Multispectral Instrument (MSI) and Landsat-8 the Operational Land Imager (OLI) data, acquired on 6 April 2016 and 3 April 2016 respectively, were utilized as satellite imagery in the study. The RGB and NIR bands of Sentinel-2 and Landsat-8 were used for classification and comparison. Pan-sharpening process was carried out for Landsat-8 data before classification because the spatial resolution of Landsat-8 (30m) is far from Sentinel-2 RGB and NIR bands (10m). LULC images were generated using pixel-based Maximum Likelihood (MLC) supervised classification method. As a result of the accuracy assessment, kappa statistics for Sentinel-2 and Landsat-8 data were 0.78 and 0.85 respectively. The obtained results showed that Sentinel-2 MSI presents more satisfying LULC images than Landsat-8 OLI data. However, in some areas of Sea class Landsat-8 presented better results than Sentinel-2.

scholarly journals APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 363-367 ◽  
Author(s):  
H. T. T. Nguyen ◽  
T. M. Doan ◽  
V. Radeloff
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Land Cover ◽  
Deciduous Forest ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Landsat 8 Oli ◽  
Plantation Forest ◽  
Barren Land ◽  
Random Forest Classification

<p><strong>Abstract.</strong> This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters of ntree (number of tree) and mtry (the number of variables used to split at each node) were tested and compared. In current study the best results indicate the number of suitable decision trees involved in the classification process is 300 (ntree), and the suitable number of variables used to split at each node is 4 variables (mtry). These parameters were used to classify 7 bands multi-spectral resolution from 1&amp;ndash;7 of Landsat 8 into ten classes of LULC including natural broad-leaved evergreen, semi-evergreen, dipterocarp deciduous forest, plantation forest, rubber, coffee land, crop land, barren land, residential area and water surface. The overall accuracy of 90.32&amp;thinsp;% with Kappa coefficient of 0.8434 was found in this case.</p>

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