Agricultural land use and cover change in the Cerrado/Amazon ecotone: A case study of the upper Teles Pires River basin

The upper Teles Pires River basin is a key hydrological resource for the state of Mato Grosso, but has suffered rapid land use and cover change. The basin includes areas of Cerrado biome, as well as transitional areas between the Amazon and Cerrado vegetation types, with intensive large-scale agriculture widely-spread throughout the region. The objective of this study was to explore the spatial and temporal dynamics of land use and cover change from 1986 to 2014 in the upper Teles Pires basin using remote sensing and GIS techniques. TM (Thematic Mapper) and TIRS (Thermal Infrared Sensor) sensor images aboard the Landsat 5 and Landsat 8, respectively, were employed for supervised classification using the "Classification Workflow" in ENVI 5.0. To evaluate classification accuracy, an error matrix was generated, and the Kappa, overall accuracy, errors of omission and commission, user accuracy and producer accuracy indexes calculated. The classes showing greatest variation across the study period were "Agriculture" and "Rainforest". Results indicated that deforested areas are often replaced by pasture and then by agriculture, while direct conversion of forest to agriculture occured less frequently. The indices with satisfactory accuracy levels included the Kappa and Global indices, which showed accuracy levels above 80% for all study years. In addition, the producer and user accuracy indices ranged from 59-100% and 68-100%, while the errors of omission and commission ranged from 0-32% and 0-40.6%, respectively.

[1]  Cesar Guerreiro Diniz,et al.  High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data , 2016 .

[2]  D. O'Neill Environment and development : myth and fact , 2002 .

[3]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[4]  E. Lambin,et al.  Proximate Causes and Underlying Driving Forces of Tropical Deforestation , 2002 .

[5]  Ciro Abbud Righi,et al.  Biomass and greenhouse-gas emissions from land-use change in Brazil's Amazonian “arc of deforestation”: The states of Mato Grosso and Rondônia , 2009 .

[6]  J. Mielniczuk,et al.  Evolução do uso do solo em uma área piloto da região de Vacaria, RS , 2010 .

[7]  Xiaodong Na,et al.  Comparison of land use/land cover change and landscape patterns in Honghe National Nature Reserve and the surrounding Jiansanjiang Region, China , 2015 .

[8]  R. DeFries,et al.  Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon , 2006, Proceedings of the National Academy of Sciences.

[9]  Alexandre Bragança Coelho,et al.  Desmatamento Recente nos Estados da Amazônia Legal: uma análise da contribuição dos preços agrícolas e das políticas governamentais , 2015 .

[10]  N. Walker,et al.  From Amazon Pasture to the High Street: Deforestation and the Brazilian Cattle Product Supply Chain , 2013 .

[11]  B. Gonçalves,et al.  EVOLUÇÃO ESPAÇO-TEMPORAL DO USO E COBERTURA DA TERRA DO RIBEIRÃO PIANCÓ EM ANÁPOLIS – GO , 2014 .

[12]  C. Aubertin Deforestation control policies in Brazil: sovereignty versus the market , 2015 .

[13]  AVALIAÇÃO DA DINÂMICA DO USO E COBERTURA DA TERRA NA BACIA HIDROGRÁFICA DE CONTRIBUIÇÃO PARA O RESERVATÓRIO DE BARRA BONITA – SP , 2007 .

[14]  Ricardo Ribeiro Dias,et al.  Florestas estacionais e áreas de ecótono no estado do Tocantins, Brasil: parâmetros estruturais, classificação das fitofisionomias florestais e subsídios para conservação , 2013 .

[15]  C. Romaña,et al.  Spatial and temporal evolution of family-farming land use in the Tapajós region of the Brazilian Amazon , 2015 .

[16]  Rodrigo Rizzi,et al.  ESTIMATIVA DA ÁREA DE SOJA NO RIO GRANDE DO SUL POR MEIO DE IMAGENS LANDSAT , 2005 .

[17]  Alexandre Oliveira Tavares,et al.  Spatial and temporal land use change and occupation over the last half century in a peri-urban area , 2012 .

[18]  Uso de imagens do sensor ASTER na identificação de níveis de degradação em pastagens , 2006 .

[19]  H. K. Gibbs,et al.  Brazil's Soy Moratorium , 2015, Science.

[20]  Gabriel Pereira,et al.  AVALIAÇÃO DAS ÁREAS QUEIMADAS NO ESTADO DE RONDÔNIA-AMAZÔNIA BRASILEIRA , 2014, Revista Brasileira de Cartografia.

[21]  A. Panizza,et al.  TÉCNICAS DE INTERPRETAÇÃO VISUAL DE IMAGENS , 2011 .

[22]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[23]  Jorge Luis Silva Brito,et al.  Mapeamento semidetalhado do uso da terra do Bioma Cerrado , 2008 .

[24]  S. Montenegro,et al.  Dinâmica do uso e ocupação do solo em uma bacia hidrográfica do semiárido brasileiro , 2014 .

[25]  Rosana Cristina Grecchi,et al.  Land cover changes in the Brazilian Cerrado and Caatinga biomes from 1990 to 2010 based on a systematic remote sensing sampling approach , 2015 .

[26]  Thiago Sanna Freire Silva,et al.  Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques , 2015 .

[27]  Cyntia Meireles de Oliveira,et al.  A governança no Arranjo Produtivo de Grãos de Santarém e Belterra, estado do Pará: uma análise a partir do grão soja , 2012 .

[28]  K. Cassman,et al.  Agricultural innovation to protect the environment , 2013, Proceedings of the National Academy of Sciences.

[29]  Elizabeth Ferreira,et al.  Identificação de fragmentos de floresta nativa, por diferentes intérpretes, com a utilização de imagens landsat e cbers em lavras, MG , 2005 .

[30]  Daniel Alves Aguiar,et al.  Remote Sensing the Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images , 2022 .

[31]  Ricardo B. Machado,et al.  Estimativa de perda da área do Cerrado brasileiro , 2016 .

[32]  D. S. Alves,et al.  Land use intensification and abandonment in Rondônia, Brazilian Amazônia , 2003 .

[33]  J. Puyravaud Standardizing the calculation of the annual rate of deforestation , 2003 .

[34]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[35]  N. Ramankutty,et al.  The role of pasture and soybean in deforestation of the Brazilian Amazon , 2010 .

[36]  E. Galvanin,et al.  Análise espaço-temporal da cobertura vegetal e uso da terra na Interbacia do Rio Paraguai Médio-MT, Brasil , 2013 .

[37]  G. Rezende,et al.  Crescimento agrícola no período 1999/2004: a explosão da soja e da pecuária bovina e seu impacto sobre o meio ambiente , 2006 .