Mapping and quantification of ferruginous outcrop savannas in the Brazilian Amazon: A challenge for biodiversity conservation
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P. Souza‐Filho | V. Imperatriz-Fonseca | T. Giannini | D. Santos | J. Siqueira | R. Jaffé | A. Giulietti | W. Nascimento | J. T. Guimarães | Marlene F. Costa | M. Costa | P. Souza-Filho
[1] J. Dorr. Supergene iron ores of Minas Gerais, Brazil , 1964 .
[2] G. E. Tolbert,et al. The Recently Discovered Serra dos Carajas Iron Deposits, Northern Brazil , 1971 .
[3] J. D. Tarpley,et al. Global vegetation indices from the NOAA-7 meteorological satellite , 1984 .
[4] R. Congalton,et al. Accuracy assessment: a user's perspective , 1986 .
[5] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[6] Russell G. Congalton,et al. Assessing the accuracy of remotely sensed data : principles and practices , 1998 .
[7] M. Macambira,et al. Geochronological provinces of the Amazonian Craton , 1999 .
[8] M. Bidovec,et al. Geochemical Atlas of Europe, Part 1, Background Information, Methodology and Maps , 2005 .
[9] Patrick Bogaert,et al. Forest change detection by statistical object-based method , 2006 .
[10] C. Jacobi,et al. Plant communities on ironstone outcrops: a diverse and endangered Brazilian ecosystem , 2007, Biodiversity and Conservation.
[11] Gregory Duveiller,et al. Deforestation in Central Africa: Estimates at regional, national and landscape levels by advanced processing of systematically-distributed Landsat extracts , 2008 .
[12] D. Groves,et al. Metallogenesis of the Carajás Mineral Province, Southern Amazon Craton, Brazil: Varying styles of Archean through Paleoproterozoic to Neoproterozoic base- and precious-metal mineralisation , 2008 .
[13] R. Morris. Anthropogenic impacts on tropical forest biodiversity: a network structure and ecosystem functioning perspective , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.
[14] C. Yates,et al. Plant communities of the ironstone ranges of South Western Australia: hotspots for plant diversity and mineral deposits , 2010, Biodiversity and Conservation.
[15] Dirk Tiede,et al. ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data , 2010, Int. J. Geogr. Inf. Sci..
[16] Xulin Guo,et al. Detecting an Optimal Scale Parameter in Object-Oriented Classification , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] C. Jacobi,et al. Soaring Extinction Threats to Endemic Plants in Brazilian Metal-Rich Regions , 2011, AMBIO.
[18] Julien Radoux,et al. Please Scroll down for Article International Journal of Geographical Information Science Thematic Accuracy Assessment of Geographic Object-based Image Classification Thematic Accuracy Assessment of Geographic Object-based Image Classification , 2022 .
[19] Frédéric Achard,et al. An automated approach for segmenting and classifying a large sample of multi-date Landsat imagery for pan-tropical forest monitoring , 2011 .
[20] Gabriel Luís Bonora Vidrih Ferreira,et al. Meio Ambiente e Mineração na Constituição Federal , 2012 .
[21] N. Gibson,et al. Patterns of plant diversity in ironstone ranges in arid south western Australia , 2012 .
[22] P. Fearnside,et al. Amazonian forest loss and the long reach of China’s influence , 2013, Environment, Development and Sustainability.
[23] Dar A. Roberts,et al. Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon , 2013, Remote. Sens..
[24] D. Lu,et al. Spatiotemporal analysis of land-use and land-cover change in the Brazilian Amazon , 2013, International journal of remote sensing.
[25] J. Stape,et al. Köppen's climate classification map for Brazil , 2013 .
[26] N. P. Barbosa,et al. Challenges for the conservation of vanishing megadiverse rupestrian grasslands , 2014 .
[27] B. Soares-Filho,et al. Global demand for steel drives extensive land-use change in Brazil's Iron Quadrangle , 2014 .
[28] Thomas Blaschke,et al. Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[29] B. Soares-Filho,et al. Offsetting the Impacts of Mining to Achieve No Net Loss of Native Vegetation , 2014, Conservation biology : the journal of the Society for Conservation Biology.
[30] C. Schaefer,et al. Ecology and evolution of plant diversity in the endangered campo rupestre: a neglected conservation priority , 2015, Plant and Soil.
[31] A. Auler,et al. Carajás National Forest: Iron Ore Plateaus and Caves in Southeastern Amazon , 2015 .
[32] L. Santos,et al. Landscapes and Landforms of Brazil , 2015 .
[33] P. Souza‐Filho,et al. Changes in the land cover and land use of the Itacaiunas River watershed, arc of deforestation, Carajas, southeastern Amazon , 2015 .
[34] Marcelo,et al. Flora of the cangas of the Serra dos Carajás , Pará , Brazil : history , study area and methodology , 2016 .
[35] V. Imperatriz-Fonseca,et al. Reconciling Mining with the Conservation of Cave Biodiversity: A Quantitative Baseline to Help Establish Conservation Priorities , 2016, PloS one.
[36] Maycira Costa,et al. Distribution of Artisanal and Small-Scale Gold Mining in the Tapajós River Basin (Brazilian Amazon) over the Past 40 Years and Relationship with Water Siltation , 2016, Remote. Sens..
[37] P. Souza‐Filho,et al. Influence of seasonal variation on the hydro-biogeochemical characteristics of two upland lakes in the Southeastern Amazon, Brazil. , 2016, Anais da Academia Brasileira de Ciencias.
[38] Pedro Lage Viana,et al. Flora das cangas da Serra dos Carajás, Pará, Brasil: história, área de estudos e metodologia , 2016 .
[39] R. Dall’Agnol,et al. Geochemical distribution and threshold values determination of heavy metals in stream water in the sub-basins of Vermelho and Sororó rivers, Itacaiúnas River watershed, Eastern Amazon, Brazil , 2018, Geochimica Brasiliensis.
[40] Pedro Lage Viana,et al. Cangas da Amazônia: a vegetação única de Carajás evidenciada pela lista de fanerógamas , 2018, Rodriguésia.
[41] D. Zappi,et al. Amazon canga : the unique vegetation of Carajás revealed by the list of seed plants , 2018 .
[42] M. Gastauer,et al. Conserving relics from ancient underground worlds: assessing the influence of cave and landscape features on obligate iron cave dwellers from the Eastern Amazon , 2018, PeerJ.
[43] Vicente Pérez-Muñuzuri,et al. Extreme Wave Height Events in NW Spain: A Combined Multi-Sensor and Model Approach , 2017, Remote. Sens..
[44] V. Imperatriz-Fonseca,et al. Landscape Genomic Conservation Assessment of a Narrow-Endemic and a Widespread Morning Glory From Amazonian Savannas , 2018, Front. Plant Sci..
[45] Pedro Walfir M. Souza Filho,et al. A GEOBIA Approach for Multitemporal Land-Cover and Land-Use Change Analysis in a Tropical Watershed in the Southeastern Amazon , 2018, Remote. Sens..
[46] M. Gastauer,et al. Mine land rehabilitation in Brazil: Goals and techniques in the context of legal requirements , 2018, Ambio.