Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps

Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping

(2011) P. Kempeneers et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection

(2010) Jin Chen et al.   IEEE Geoscience and Remote Sensing Letters

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

(2009) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trend and seasonal changes in satellite image time series

(2009) Jan Verbesselt et al.   REMOTE SENSING OF ENVIRONMENT

Comparing Statistical and Neural Network Methods Applied to Very High Resolution Satellite Images Showing Changes in Man-Made Structures at Rocky Flats

(2008) M. Chini et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Small satellite remote sensing and applications – history, current and future

(2008) Yong Xue et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Pan-European forest/non-forest mapping with Landsat ETM+ and CORINE Land Cover 2000 data

(2008) Anssi Pekkarinen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss

(2008) Peter Potapov et al.   REMOTE SENSING OF ENVIRONMENT