Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification
- 5 April 2003
- journal article
- Published by Elsevier in Forest Ecology and Management
- Vol. 183 (1-3), 31-46
- https://doi.org/10.1016/s0378-1127(03)00113-0
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Assessing structures in mountain forests as a basis for investigating the forests’ dynamics and protective functionForest Ecology and Management, 2001
- Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributesForest Ecology and Management, 2000
- Gain to be achieved from stand delineation in LANDSAT TM image-based estimates of stand volumeForest Ecology and Management, 1999
- Unsupervised texture segmentation using feature distributionsPattern Recognition, 1999
- Estimation of timber volume in a coniferous plantation forest using Landsat TMInternational Journal of Remote Sensing, 1997
- Correction of atmospheric and topographic effects for high spatial resolution satellite imageryInternational Journal of Remote Sensing, 1997
- Classification of Mediterranean crops with multisensor data: per-pixel versus per-object statistics and image segmentationInternational Journal of Remote Sensing, 1996
- Assessment of forest damage with landsat TM: Correction for varying forest stand characteristicsRemote Sensing of Environment, 1994
- Nested-hierarchical scene models and image segmentationInternational Journal of Remote Sensing, 1992
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960