scholarly journals Patterns of land-cover transitions from satellite imagery of the Brazilian Amazon

Author(s):  
Finn Müller-Hansen ◽  
Manoel F. Cardoso ◽  
Eloi L. Dalla-Nora ◽  
Jonathan F. Donges ◽  
Jobst Heitzig ◽  
...  

Abstract. Changes in land-use systems in tropical regions, including deforestation, are a key challenge for global sustainability because of their huge impacts on green-house gas emissions, local climate and biodiversity. However, the dynamics of land-use and land-cover change in regions of frontier expansion such as the Brazilian Amazon is not yet well understood because of the complex interplay of ecological and socio-economic drivers. In this paper, we combine Markov chain analysis and complex network methods to identify regimes of land-cover dynamics from land-cover maps (TerraClass) derived from high-resolution (30 m) satellite imagery. We estimate regional transition probabilities between different land-cover types and use clustering analysis and community detection algorithms on similarity networks to explore patterns of dominant land-cover transitions. We find that land-cover transition probabilities in the Brazilian Amazon are heterogeneous in space and adjacent subregions tend to be assigned to the same clusters. When focusing on transitions from single land-cover types, we uncover patterns that reflect major regional differences in land-cover dynamics. Our method is able to summarize regional patterns and thus complements studies performed at the local scale.

2017 ◽  
Vol 24 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Finn Müller-Hansen ◽  
Manoel F. Cardoso ◽  
Eloi L. Dalla-Nora ◽  
Jonathan F. Donges ◽  
Jobst Heitzig ◽  
...  

Abstract. Changes in land-use systems in tropical regions, including deforestation, are a key challenge for global sustainability because of their huge impacts on green-house gas emissions, local climate and biodiversity. However, the dynamics of land-use and land-cover change in regions of frontier expansion such as the Brazilian Amazon are not yet well understood because of the complex interplay of ecological and socioeconomic drivers. In this paper, we combine Markov chain analysis and complex network methods to identify regimes of land-cover dynamics from land-cover maps (TerraClass) derived from high-resolution (30 m) satellite imagery. We estimate regional transition probabilities between different land-cover types and use clustering analysis and community detection algorithms on similarity networks to explore patterns of dominant land-cover transitions. We find that land-cover transition probabilities in the Brazilian Amazon are heterogeneous in space, and adjacent subregions tend to be assigned to the same clusters. When focusing on transitions from single land-cover types, we uncover patterns that reflect major regional differences in land-cover dynamics. Our method is able to summarize regional patterns and thus complements studies performed at the local scale.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Prosper Laari Basommi ◽  
Qingfeng Guan ◽  
Dandan Cheng

AbstractSatellite imagery has been widely used to monitor the extent of environmental change in both mine and post mine areas. This study uses Remote sensing and Geographical Information System techniques for the assessment of land use/land cover dynamics of mine related areas in Wa East District of Ghana. Landsat satellite imageries of three different time periods, i.e., 1991, 2000 and 2014 were used to quantify the land use/cover changes in the area. Supervised Classification using Maximum Likelihood Technique in ERDAS was utilized. The images were categorized into five different classes: Open Savannah, Closed Savannah, Bare Areas, Settlement and Water. Image differencing method of change detection was used to investigate the changes. Normalized Differential Vegetative Index valueswere used to correlate the state of healthy vegetation. The image differencing showed a positive correlation to the changes in the Land use and Land cover classes. NDVI values reduced from 0.48 to 0.11. The land use change matrix also showed conversion of savannah areas into bare ground and settlement. Open and close savannah reduced from 50.80% to 36.5% and 27.80% to 22.67% respectively whiles bare land and settlement increased. Overall accuracy of classified 2014 image and kappa statistics was 83.20% and 0.761 respectively. The study revealed the declining nature of the vegetation and the significance of using satellite imagery. A higher resolution satellite Imagery is however needed to satisfactorily delineate mine areas from other bare areas in such Savannah zones.


1998 ◽  
Vol 24 (4) ◽  
pp. 350-359 ◽  
Author(s):  
H.J.H. Kux ◽  
J.R. dos Santos ◽  
F.J. Ahern ◽  
R.W. Pietsch ◽  
M.S.P. Lacruz

1996 ◽  
Vol 18 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Robert Walker ◽  
Alfredo Kingo Oyama Homma

2018 ◽  
Vol 11 (3) ◽  
pp. 94
Author(s):  
Francílio De Amorim Dos Santos ◽  
Cláudia Maria Sabóia De Aquino

ResumoO estudo teve como objetivo analisar a dinâmica do uso e cobertura das terras relacionando-a as variações econômicas nos municípios de Castelo do Piauí e Juazeiro do Piauí. A análise da dinâmica do uso e cobertura das terras baseou-se na análise de imagens do satélite Landsat 5 TM possibilitaram constatar que houve redução das classes de cobertura vegetal do tipo Caatinga Arbórea e agropecuária (lavouras, pecuária e extração vegetal) e aumento da classe Caatinga Arbustiva. A redução da caatinga arbórea é resultado do i) aumento dos cultivos temporários em 50%, de 1997 para 2009 e ii) aumento da extração de madeira para a produção de carvão e lenha, respectivamente, em 18,2 % e 4,4%, de 2004 para 2009. Os possíveis estágios de sucessão ecológica e aumento da caatinga arbustiva devem-se ao i) aumento das áreas destinadas aos cultivos permanentes na proporção de 18,5%; ii) redução dos rebanhos bovino, ovino e caprino em 2,4%, de 1997 e 2009, e iii) a diminuição da produção mineral. Os dados sociais revelam necessidade de investimentos em saúde, geração de empregos e, principalmente, em educação, devido o baixo nível de instrução.Palavras-chave: Área Suscetível à Desertificação, Dados Econômicos, Cobertura Vegetal. AbstractThe objective of this study was to analyze the dynamics of land use and land cover by linking it to economic variations in the municipalities of Castelo do Piauí and Juazeiro do Piauí. The analysis of the land use and land cover dynamics was based on the Landsat 5 TM satellite imagery analysis, which showed that there was a reduction of the Arborea Caatinga and agricultural ranching (crop, livestock and vegetal extraction) and class increase classes Shrub Caatinga. The reduction in tree savanna is the result of i) an increase of temporary crops by 50% from 1997 to 2009 and ii) increase in coal extraction and burning, respectively, 18.2% and 4.4%, from 2004 to 2009 . Possible stages of ecological succession and increased shrub savanna are due to i) increase in the areas intended for permanent crops at the rate of 18.5%; ii) reduction of beef cattle, sheep and goats by 2.4% in 1997 and 2009, and iii) the decrease in mineral production. Social data reveals need for investments in health, job creation, and especially in education due to their low level of education.Keywords: Susceptible Area Desertification, Economics, Coverage of Lands. ResumenEl objetivo del estudio fue analizar la dinámica de uso y cobertura del suelo en relación con los cambios económicos en los municipios de Castelo do Piauí y Juazeiro do Piauí. El uso de análisis dinámico y cobertura de la tierra se basa en la imagen de satélite Landsat 5 TM análisis permitió ver que había una reducción del tipo de vegetación arbórea clases de cobertura de Caatinga Arbórea y la agricultura (cultivos, ganadería y extracción de la planta) y el aumento de la clase Caatinga Arbustiva. La reducción en la sabana de árboles es el resultado de i) un aumento de los cultivos temporales en un 50% de 1997 a 2009 y ii) aumento de la extracción de carbón y la quema, respectivamente, 18,2% y 4,4%, 2004 a 2009. Posibles etapas de sucesión ecológica y el aumento de la sabana de arbustos se deben a i) el aumento de las superficies destinadas a cultivos permanentes a la tasa del 18,5%; ii) la reducción de ganado vacuno, ovejas y cabras en un 2,4% en 1997 y 2009, y iii) la disminución de la producción de minerales. Datos sociales revela necesidad de invertir en la salud, la creación de empleo, y especialmente en la educación debido a su bajo nivel de educación.Palabras clave: Área Susceptible de Desertificación, Economia, cobertura de Tierras. 


Author(s):  
Joao Felipe Sobrinho Kneipp Ceraueira Pinto ◽  
Alberto Setzer ◽  
Fabiano Morelli ◽  
Marcos Adami ◽  
Adriano Venturieri ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document