Decision Tree Classification of Land Use and Land Cover of the Tapajos National Forest Region, Brazilian Amazon

2013 ◽  
Vol s1 (01) ◽  
Author(s):  
Yosio Edemir Shimabukuro
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Decision Tree ◽  
Brazilian Amazon ◽  
National Forest ◽  
Decision Tree Classification ◽  
Forest Region

The Classification of Land Use and Land Cover in Shangri-La Based on Decision Tree Automatic Threshold Classification Method

2014 ◽  
Vol 522-524 ◽  
pp. 1178-1181
Author(s):  
Wu Jun Xi ◽  
Ru Biao Ma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Decision Tree ◽  
Paddy Field ◽  
Statistical Result ◽  
Dry Land ◽  
Pinus Yunnanensis ◽  
Pinus Densata ◽  
Land Cover Map

The paper used decision tree automatic threshold classify model to study land use and land cover in Shangri-la County with Landsat ETM+ image in 1999, and got two results. The first result is the land use and land cover map, the second result is the surface features area statistical result from large to small: bush, spruce and fir, meadow, pinus densata, ice and snow, pinus yunnanensis, unutilized land, paddy field, town, dry land , marsh, water. Bush has the largest area, 4267492200m2, while water has the smallest area,6147900m2.

Land Cover and Forest Formation Distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from Decision Tree Classification of Cloud-Cleared Satellite Imagery

2008 ◽  
Vol 44 (2) ◽  
pp. 175-198 ◽  
Author(s):  
Eileen H. Helmer ◽  
Todd A. Kennaway ◽  
Diego H. Pedreros ◽  
Matthew L. Clark ◽  
Humfredo Marcano-Vega ◽  
...  
Keyword(s):  
Land Cover ◽  
Decision Tree ◽  
Satellite Imagery ◽  
Decision Tree Classification

Classification of Land Use and Land Cover in the Brazilian Amazon using Fuzzy Multilayer Perceptrons

2015 ◽  
Vol 5 (1) ◽  
pp. 57-71 ◽  
Author(s):  
Toni Pimentel ◽  
Fernando M. Ramos ◽  
Sandra Sandri
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Vegetation Index ◽  
Brazilian Amazon ◽  
Multilayer Perceptrons ◽  
Mato Grosso ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Here the authors propose the use of Fuzzy Multilayer Perceptrons for classification of land use and land cover patterns in the Brazilian Amazon, using time series of vegetation index, taken from NASA's MODIS (Moderate Resolution Imaging Spectroradiometer) sensor. In addition to the traditional Multilayer Perceptron (MLP), three fuzzy implementations were investigated. These methods were applied to a study area of approximately 10.5 km2 on the east of the state of Mato Grosso in the Brazilian Amazon. For validation purposes, the authors compared the best implementation results with the ones given for the same region by the TerraClass 2010 project. The authors observed that our fuzzy MLP correctly classified 81% of the pixels analyzed.

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