EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES

Multi Resolution Fuzzy Segmentation of Satellite Images

Analyzing Urban Sprawl Spatial Fragmentation Using Multi-temporal Satellite Images

The landscape pattern of Daqing City, China has undergone a significant change during the last two decades as a result of rapid urbanization. A quantitative analysis describing the spatial fragmentation caused by urban sprawl from satellite images was presented on three dates: 1979, 1990, and 2000. Five landscape indices with supplementary ecological meanings were chosen to facilitate our exami...

Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images

Urban tree species mapping is an important prerequisite to understanding the value of urban vegetation in ecological services. In this study, we explored the potential of bi-temporal WorldView-2 (WV2, acquired on 14 September 2012) and WorldView-3 images (WV3, acquired on 18 October 2014) for identifying five dominant urban tree species with the object-based Support Vector Machine (SVM) and Ran...

Tree Species Classification Using Ers Sar and Modis Ndvi Images

A set of ERS SAR and optical MODIS-images were classified to land cover and tree species classes. Different methods for pixel and decision based data fusion were tested. Classifications of featuresets were carried out using Bayes rule for minimum error. The results were not very successful, the classification accuracies of land cover classes varied from 43% to 75%, depending on the used feature...

Forest Cover Classification from Multi-temporal MODIS Images in Southeast Asia Using Decision Tree

MODIS data is of significant for the classification of regional forest cover due to its high temporal resolution and high spectral resolution. Forest cover is an important parameter for forest ecosystem. The objective of this preliminary study is to mapping forest cover from mutli-temporal MODIS data with decision tree. The classification forest samples were selected from four global land cover...