A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)
出版年份 2017 全文链接
标题
A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)
作者
关键词
-
出版物
Remote Sensing
Volume 9, Issue 3, Pages 259
出版商
MDPI AG
发表日期
2017-03-13
DOI
10.3390/rs9030259
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments
- (2016) Manchun Li et al. International Journal of Applied Earth Observation and Geoinformation
- A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
- (2016) Stephanie R. Debats et al. REMOTE SENSING OF ENVIRONMENT
- Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images
- (2015) E. Vaudour et al. International Journal of Applied Earth Observation and Geoinformation
- Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
- (2015) Sophie Bontemps et al. Remote Sensing
- An Evaluation of Different Training Sample Allocation Schemes for Discrete and Continuous Land Cover Classification Using Decision Tree-Based Algorithms
- (2015) René Colditz Remote Sensing
- Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA
- (2015) Pengyu Hao et al. Remote Sensing
- Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
- (2015) Jordi Inglada et al. Remote Sensing
- How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?
- (2014) Louise Leroux et al. Remote Sensing
- Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing
- (2014) Fabian Löw et al. Remote Sensing
- An AUC-based permutation variable importance measure for random forests
- (2013) Silke Janitza et al. BMC BIOINFORMATICS
- Area-based and location-based validation of classified image objects
- (2013) Timothy G. Whiteside et al. International Journal of Applied Earth Observation and Geoinformation
- A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level
- (2013) Fuqun Zhou et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Geographic Object-Based Image Analysis – Towards a new paradigm
- (2013) Thomas Blaschke et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Identification of cropping activity in central and southern Queensland, Australia, with the aid of MODIS MOD13Q1 imagery
- (2012) M.J. Pringle et al. International Journal of Applied Earth Observation and Geoinformation
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- (2012) M. Drusch et al. REMOTE SENSING OF ENVIRONMENT
- Fusion of Textural and Spectral Information for Tree Crop and Other Agricultural Cover Mapping With Very-High Resolution Satellite Images
- (2011) Ahsan Ahmad Ursani et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005
- (2011) Chandrashekhar M. Biradar et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object-based crop identification using multiple vegetation indices, textural features and crop phenology
- (2011) José M. Peña-Barragán et al. REMOTE SENSING OF ENVIRONMENT
- Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic
- (2011) B. Ghimire et al. Remote Sensing Letters
- The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis
- (2010) Mutlu Ozdogan REMOTE SENSING OF ENVIRONMENT
- Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery
- (2009) Isabel Luisa Castillejo-González et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Sensitivity of vegetation phenology detection to the temporal resolution of satellite data
- (2009) Xiaoyang Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments
- (2008) Steven E. Sesnie et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
- (2008) Jonathan Cheung-Wai Chan et al. REMOTE SENSING OF ENVIRONMENT
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