Simulation of changes in C and N stocks with land use and cover in Amazon Forest-Cerrado transition environment

Geoderma ◽  
2021 ◽  
Vol 404 ◽  
pp. 115388
Author(s):  
Leiliane Bozzi Zeferino ◽  
José Ferreira Lustosa Filho ◽  
Antônio Clementino dos Santos ◽  
Carlos Eduardo Pellegrino Cerri ◽  
Teogenes Senna de Oliveira
Keyword(s):  
Land Use ◽  
Amazon Forest ◽  
C And N ◽  
Land Use And Cover

scholarly journals Surface albedo in different land-use and cover types in Amazon forest region

2018 ◽  
Vol 13 (2) ◽  
pp. 1 ◽  
Author(s):  
Thiago De Oliveira Faria ◽  
Thiago Rangel Rodrigues ◽  
Leone Francisco Amorim Curado ◽  
Denilton Carlos Gaio ◽  
José De Souza Nogueira
Keyword(s):  
Land Use ◽  
Surface Albedo ◽  
Landsat Imagery ◽  
Important Variable ◽  
Google Earth ◽  
Transitional Region ◽  
Amazon Forest ◽  
Human Occupation ◽  
Forest Region ◽  
Land Use And Cover

Albedo is the portion of energy from the Sun that is reflected by the earth's surface, thus being an important variable that controls climate and energy processes on Earth. Surface albedo is directly related to the characteristics of the Earth’s surface materials, making it a useful parameter to evaluate the effects of original soil cover replacement due to human occupation. This study evaluated the changes in the surface albedo values due to the conversion of vegetation to other land uses and to analyze the applicability of the use of albedo in the spatial delimitation of land-use classes in the transitional region between the Cerrado and Amazon biomes. Surface albedo measurements were obtained from processing of Landsat Thematic Mapper data in the Geographic Information System (GIS), and land-use information were collected using Google Earth high-resolution images. The results show that human activities such as the cultivation of crops and burning have contributed substantially to variations in the surface albedo, and that albedo estimates from Landsat imagery have the potential to help in the recognition and delimitation of features of land use and cover.

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

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 Temporal dynamics of land use and cover in Paurá Lagoon region, Middle Coast of Rio Grande do Sul (RS), Brazil

2018 ◽  
Vol 18 (1) ◽  
pp. 25-39
Author(s):  
Katia Helena Lipp-Nissinen ◽  
Bruna de Sá Piñeiro ◽  
Letícia Sebastião Miranda ◽  
Alexandre de Paula Alves
Keyword(s):  
Land Use ◽  
Temporal Dynamics ◽  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Land Use And Cover

scholarly journals Utilização da Lógica Fuzzy como suporte ao Zoneamento Ambiental: um estudo de caso em Paracatu – MG

2021 ◽  
Vol 14 (4) ◽  
pp. 2352-2368
Author(s):  
Arthur Santos ◽  
Fernando Santil ◽  
Petrônio Oliveira ◽  
José Roveda
Keyword(s):  
Land Use ◽  
Environmental Planning ◽  
Open Pit ◽  
Drainage Network ◽  
Master Plan ◽  
Analytical Hierarchical Process ◽  
Urban Network ◽  
Planning Strategy ◽  
Land Use And Cover

The use of geotechnologies to map the levels of environmental fragility in a municipality is an important environmental planning strategy, especially when it is intended to make a conscious use of the area's natural resources through its zoning. Therefore, the objective of this research was to carry out, through the implementation of geotechnologies, a study of environmental fragility in a municipality occupied, intensively, by mining activities and agriculture. As a case study, the municipality of Paracatu - Minas Gerais was adopted. Pedological, lithological, hydrographic, hypsometric, declivity and land use and occupation aspects were raised, in addition to the drainage network, the municipal boundary and mining activity. Finally, using Fuzzy Logic with the use of weights defined by the Analytical Hierarchical Process (AHP) method, the maps of slope, land use and cover, lithology, pedology and drainage network were used to prepare a map of environmental fragility of the municipality. It was concluded that the municipality is susceptible to negative environmental impacts, mainly in its urban network and in the area of open-pit minning, and that these can be better evaluated through the use of geotechnologies aimming at subsidizing urban planning, which is extremely important for the municipality of Paracatu - MG, which is currently undergoing changes in its master plan and intends to expand.

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