Image segmentation for humid tropical forest classification in Landsat TM data

1999 ◽  
Vol 20 (5) ◽  
pp. 1039-1044 ◽  
Author(s):  
R. A. Hill
2008 ◽  
Vol 105 (27) ◽  
pp. 9439-9444 ◽  
Author(s):  
M. C. Hansen ◽  
S. V. Stehman ◽  
P. V. Potapov ◽  
T. R. Loveland ◽  
J. R. G. Townshend ◽  
...  

2018 ◽  
Vol 123 (9) ◽  
pp. 3016-3027 ◽  
Author(s):  
Yang Lin ◽  
Amrita Bhattacharyya ◽  
Ashley N. Campbell ◽  
Peter S. Nico ◽  
Jennifer Pett-Ridge ◽  
...  

2006 ◽  
Vol 66 (2a) ◽  
pp. 559-564 ◽  
Author(s):  
W. O. Almeida ◽  
S. V. Brito ◽  
F. S. Ferreira ◽  
M. L. Christoffersen

Cephalobaenidae constitutes one of the main pentastomid groups infecting the respiratory tract of snakes. Six specimens of Liophis lineatus, a colubrid, were collected by active capture and pitfalls installed on the banks of the Batateiras river, close to its source, in the ‘APA - Área de Proteção Ambiental’ (a protected environmental area of the ‘IBAMA - Brazilian Institute for the Environment and Natural Resources’), and in a remnant of the humid tropical forest ‘FLONA - Floresta Nacional do Araripe’, both in the municipality of Crato, state of Ceará, Northeast Brazil. Out of the six specimens of L. lineatus examined, only one had its lung infected by the pentastomid Cephalobaena tetrapoda. This represents the first record of C. tetrapoda as a parasite of a snake in Northeast Brazil, as well as the first record of a colubrid, L. lineatus, as a new host for the pentastomid in Brazil.


CERNE ◽  
2014 ◽  
Vol 20 (2) ◽  
pp. 267-276 ◽  
Author(s):  
Pedro Resende Silva ◽  
Fausto Weimar Acerbi Júnior ◽  
Luis Marcelo Tavares de Carvalho ◽  
José Roberto Soares Scolforo

The aim of this study was to develop a methodology for mapping land use and land cover in the northern region of Minas Gerais state, where, in addition to agricultural land, the landscape is dominated by native cerrado, deciduous forests, and extensive areas of vereda. Using forest inventory data, as well as RapidEye, Landsat TM and MODIS imagery, three specific objectives were defined: 1) to test use of image segmentation techniques for an object-based classification encompassing spectral, spatial and temporal information, 2) to test use of high spatial resolution RapidEye imagery combined with Landsat TM time series imagery for capturing the effects of seasonality, and 3) to classify data using Artificial Neural Networks. Using MODIS time series and forest inventory data, time signatures were extracted from the dominant vegetation formations, enabling selection of the best periods of the year to be represented in the classification process. Objects created with the segmentation of RapidEye images, along with the Landsat TM time series images, were classified by ten different Multilayer Perceptron network architectures. Results showed that the methodology in question meets both the purposes of this study and the characteristics of the local plant life. With excellent accuracy values for native classes, the study showed the importance of a well-structured database for classification and the importance of suitable image segmentation to meet specific purposes.


2005 ◽  
Vol 11 (8) ◽  
pp. 1283-1297 ◽  
Author(s):  
Yit Arn Teh ◽  
Whendee L. Silver ◽  
Mark E. Conrad

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