Mapping forest change using stacked generalization: An ensemble approach-Reference-Cited by-同舟云学术

Mapping forest change using stacked generalization: An ensemble approach

Published:2018-01 Issue: Volume:204 Page:717-728
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Healey Sean P.,Cohen Warren B.,Yang Zhiqiang,Kenneth Brewer C.,Brooks Evan B.,Gorelick Noel,Hernandez Alexander J.,Huang Chengquan,Joseph Hughes M.,Kennedy Robert E.,Loveland Thomas R.,Moisen Gretchen G.,Schroeder Todd A.,Stehman Stephen V.,Vogelmann James E.,Woodcock Curtis E.,Yang Limin,Zhu Zhe

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference71 articles.

1. Classification of annual non-stand replacing boreal forest change in Canada using Landsat time series: a case study in northern Ontario;Ahmed;Remote Sens. Lett.,2017

2. Mapping forest disturbance using long time series of Sentinel-1 data: case studies over boreal and tropical forests;Antropov,2016

3. Bagging predictors;Breiman;Mach. Learn.,1996

4. Stacked regressions;Breiman;Mach. Learn.,1996

5. Random forests;Breiman;Mach. Learn.,2001

Cited by 211 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DRMAT: A multivariate algorithm for detecting breakpoints in multispectral time series;Remote Sensing of Environment;2024-12

2. Identification of irrigation events using Bayesian statistics-based change detection and soil moisture measurements;Agricultural Water Management;2024-09

3. Monitoring loss and degradation of forests and shrubs in the North of Chile using Landsat time series data sets from 1998 to 2018;Remote Sensing Applications: Society and Environment;2024-08

4. Predicting Grapevine Physiological Parameters Using Hyperspectral Remote Sensing Integrated with Hybrid Convolutional Neural Network and Ensemble Stacked Regression;Remote Sensing;2024-07-18

5. CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification;International Journal of Computational Intelligence Systems;2024-07-15