A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon
Authors
Keywords
-
Journal
GIScience & Remote Sensing
Volume 51, Issue 6, Pages 695-709
Publisher
Informa UK Limited
Online
2014-11-21
DOI
10.1080/15481603.2014.983338
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Carbon stocks and accumulation rates in tropical secondary forests at the scale of community, landscape and forest type
- (2013) D.E. Orihuela-Belmonte et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information
- (2013) Matthew J. Cracknell et al. COMPUTERS & GEOSCIENCES
- Using Advanced Land Imager (ALI) and Landsat Thematic Mapper (TM) for the Detection of the Invasive Shrub Lonicera maackii in Southwestern Ohio Forests
- (2012) Sarah E. Johnston et al. GIScience & Remote Sensing
- Forest Cover Mapping in North-Central Mexico: A Comparison of Digital Image Processing Methods
- (2012) Carlos A. Aguirre-Salado et al. GIScience & Remote Sensing
- Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
- (2012) Peng Gong et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region
- (2012) Guiying Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon
- (2012) Guiying Li et al. Journal of Applied Remote Sensing
- LIDAR remote sensing for secondary Tropical Dry Forest identification
- (2012) Mauricio Castillo et al. REMOTE SENSING OF ENVIRONMENT
- Image texture as a remotely sensed measure of vegetation structure
- (2012) Eric M. Wood et al. REMOTE SENSING OF ENVIRONMENT
- Multiple Classifier System for Remote Sensing Image Classification: A Review
- (2012) Peijun Du et al. SENSORS
- A Comparison of Multisensor Integration Methods for Land Cover Classification in the Brazilian Amazon
- (2011) Dengsheng Lu et al. GIScience & Remote Sensing
- Land-cover classification in a moist tropical region of Brazil with Landsat Thematic Mapper imagery
- (2011) Guiying Li et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Secondary vegetation dynamics in the Brazilian Amazon based on thematic mapper imagery
- (2011) Allan Yu Iwama Mello et al. Remote Sensing Letters
- A hybrid approach for efficient ensembles
- (2009) Dan Zhu DECISION SUPPORT SYSTEMS
- Classifier ensembles for land cover mapping using multitemporal SAR imagery
- (2009) Björn Waske et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
- (2009) Giles M. Foody REMOTE SENSING OF ENVIRONMENT
- Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
- (2009) Gyanesh Chander et al. REMOTE SENSING OF ENVIRONMENT
- Possibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data
- (2008) Lênio Soares Galvão et al. International Journal of Applied Earth Observation and Geoinformation
- Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site
- (2007) Georgios Mallinis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More