scholarly journals ANÁLISE TEMPORAL DA COBERTURA E USO DA TERRA DO ASSENTAMENTO RURAL FAZENDA DO SALTO – BARRA MANSA, RJ / TEMPORAL ANALYSIS OF LAND USE AND COVER OF RURAL SETTLEMENT FAZENDA DO SALTO - BARRA MANSA, RJ

Geo UERJ ◽  
2018 ◽  
pp. e31899
Author(s):  
Kamila Lemos Costa Barros ◽  
Eliane Maria Ribeiro da Silva ◽  
Brunos Araujo Furtado de Mendonça ◽  
Marcos Gervasio Pereira ◽  
Mácio Rocha Francelino
Keyword(s):  
Land Use ◽  
Temporal Analysis ◽  
Rural Settlement ◽  
Land Use And Cover

Os assentamentos rurais são criados para atender àquela população que necessita se estabelecer em determinada área, almejando buscar uma alternativa para sua subsistência e sobrevivência. A ocupação de áreas pode interferir na cobertura do solo inicialmente estabelecida. O objetivo do trabalho foi realizar a análise espaço-temporal do uso e cobertura da terra, por meio de classificação supervisionada, considerando o período de 1999 a 2016, no Assentamento Fazenda do Salto. Para elaboração do mapa de cobertura e uso da terra, foi utilizado o programa ArcGIS 10.2.2, e imagens dos satélites Landsat7 (sensor ETM+) e Landsat8 (sensor OLI), com resolução espacial de 30 metros. Foram definidas cinco classes de cobertura e uso da terra: Floresta, Pastagem, Pastagem Degradada, Pastagem Queimada e Corpo d’água. Foi realizada a classificação supervisionada das imagens por meio do classificador de Máxima Verossimilhança. A classe Pastagem Degradada apresentou um aumento no histórico de uso e ocupação da terra, relacionada ao tipo de manejo inadequado e incipiente adotado na área do assentamento. A manutenção da cobertura e uso da terra para a classe Pastagem se deve à principal atividade na área do assentamento que é a pecuária.

scholarly journals TEMPORAL ANALYSIS OF SOIL OCCUPATION IN MUCURI WATERSHED BETWEEN 1989 AND 2015

2020 ◽  
Vol 28 ◽  
pp. 58-68
Author(s):  
Rafael Alvarenga Almeida ◽  
Luan Viana dos Santos ◽  
Daniel Brasil Ferreria Pinto ◽  
Caio Mário Leal Ferraz
Keyword(s):  
Land Use ◽  
Temporal Analysis ◽  
Aerial Photographs ◽  
The Social ◽  
Anthropogenic Action ◽  
Economic Reality ◽  
Remote Sensing Techniques ◽  
The Relationship ◽  
Land Use And Cover ◽  
Made In

Anthropogenic action has caused intense changes in land use and cover over the decades. Identifying and knowing these changes makes it possible to measure the impacts that can be generated as well as to identify patterns of the development of a particular region and the relationship between society and land use. Thus, it is intended to identify the changes made in the land use and occupation of the Mucuri river basin between 1989 and 2015. So, this study used remote sensing techniques and tools besides aerial photographs to map the region and to identify surface behavior. Within the Mucuri basin, the soil had been mostly occupied by classes of forest and agricultural area, consistent with the social and economic reality of the region over the last decades. The changes that have occurred indicate a reduction in water availability, growth in urban occupation and, in many cases, soil and vegetation cover deterioration.

scholarly journals Temporal analysis of land use and cover in an urban watershed in the city of Londrina / PR

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Mein Mieko Chang ◽  
Hemerson Donizete Pinheiro
Keyword(s):  
Land Use ◽  
Flood Control ◽  
Satellite Images ◽  
Temporal Analysis ◽  
Morphological Characterization ◽  
Low Probability ◽  
The City ◽  
Land Use And Cover

This study analyzed the changes in land use and cover of Ribeirão Cambé watershed (Londrina /PR), between 1975 and 2015, and evaluated how these changes impact on the runoff volume. For the classification of soil use and cover were used satellite images from the Landsat series (1-MMS, 5-TM and 8-OLI), which were acquired for free from the INPE/DGI website. The classification was made by the SPRING program, it was used to establish four themes of soil use and cover: urban, dense vegetation, underbrush and exposed soil. The CN value was obtained from the CN tables of SCS for urban and suburban basins. Morphological characterization of Ribeirão Cambé basin indicates low probability of flooding. Using satellite images, it was possible to affirm that significant changes happened in the soil use and cover of this basin, having grown 150% in 40 years, with the highest growth rates occurring in the first analyzed decades, 42%, 33%, 18% and 11%, respectively. Thus, the conclusion is that changes in soil use and cover in river basins reflect on the runoff, evidentiating the need of discussion about urban planning and flood control.

scholarly journals Análise Multitemporal do Uso e Cobertura da Terra da Bacia Hidrográfica do Alto Rio Jardim, Planaltina-DF (Multi-temporal analysis of land use and cover in the Alto Rio Jardim Watershed, Planaltina-DF, Brazil)

2018 ◽  
Vol 11 (1) ◽  
pp. 085-098
Author(s):  
Carlos Henrique Nonato Vieira ◽  
Luciano Mansor de Mattos ◽  
Juaci Vitória Malaquias ◽  
Fabiana de Gois Aquino ◽  
Patrick Thomaz de Aquino Martins
Keyword(s):  
Land Use ◽  
Temporal Analysis ◽  
Multi Temporal ◽  
Land Use And Cover

scholarly journals Analysis of spatiotemporal changes of agricultural land after the Second World War in Czechia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vít Zelinka ◽  
Johana Zacharová ◽  
Jan Skaloš
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Population Change ◽  
Temporal Analysis ◽  
Second World War ◽  
Agricultural Landscapes ◽  
German Population ◽  
World War ◽  
Landscape Type ◽  
Second World

AbstractThe term Sudetenland refers to large regions of the former Czechoslovakia that had been dominated by Germans. German population was expelled directly after the Second World War, between 1945 and 1947. Almost three million people left large areas in less than two years. This population change led to a break in the relationship between the people and the landscape. The aim of the study is to compare the trajectories of these changes in agricultural landscapes in lower and higher altitudes, both in depopulated areas and areas with preserved populations. This study included ten sites in the region of Northern Bohemia in Czechia (18,000 ha in total). Five of these sites represent depopulated areas, and the other five areas where populations remained preserved. Changes in the landscape were assessed through a bi-temporal analysis of land use change by using aerial photograph data from time hoirzons of 2018 and 1953. Land use changes from the 1950s to the present are corroborated in the studied depopulated and preserved areas mainly by the trajectory of agricultural land to forest. The results prove that both population displacement and landscape type are important factors that affect landscape changes, especially in agricultural landscapes.

Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal

2011 ◽  
Vol 31 (2) ◽  
pp. 687-699 ◽  
Author(s):  
Adélia N. Nunes ◽  
António C. de Almeida ◽  
Celeste O.A. Coelho
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Cover Type ◽  
Land Use And Cover

scholarly journals Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 974
Author(s):  
Lorena Alves Santos ◽  
Karine Ferreira ◽  
Michelle Picoli ◽  
Gilberto Camara ◽  
Raul Zurita-Milla ◽  
...  
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Time Series ◽  
Satellite Image ◽  
Spatiotemporal Patterns ◽  
Supervised Machine Learning ◽  
Learning Methods ◽  
Self Organizing Maps ◽  
Machine Learning Methods ◽  
Land Use And Cover

The use of satellite image time series analysis and machine learning methods brings new opportunities and challenges for land use and cover changes (LUCC) mapping over large areas. One of these challenges is the need for samples that properly represent the high variability of land used and cover classes over large areas to train supervised machine learning methods and to produce accurate LUCC maps. This paper addresses this challenge and presents a method to identify spatiotemporal patterns in land use and cover samples to infer subclasses through the phenological and spectral information provided by satellite image time series. The proposed method uses self-organizing maps (SOMs) to reduce the data dimensionality creating primary clusters. From these primary clusters, it uses hierarchical clustering to create subclusters that recognize intra-class variability intrinsic to different regions and periods, mainly in large areas and multiple years. To show how the method works, we use MODIS image time series associated to samples of cropland and pasture classes over the Cerrado biome in Brazil. The results prove that the proposed method is suitable for identifying spatiotemporal patterns in land use and cover samples that can be used to infer subclasses, mainly for crop-types.

High concentrations of metals in the waters from Araguari River lower section (Amazon biome): Relationship with land use and cover, ecotoxicological effects and risks to aquatic biota

Chemosphere ◽  
2021 ◽  
pp. 131451
Author(s):  
Lucilene Finoto Viana ◽  
Fábio Kummrow ◽  
Claudia Andrea Lima Cardoso ◽  
Nathalya Alice de Lima ◽  
Júlio César Jut Solórzano ◽  
...  
Keyword(s):  
Land Use ◽  
Aquatic Biota ◽  
Lower Section ◽  
Ecotoxicological Effects ◽  
High Concentrations ◽  
Land Use And Cover
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