Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery
نویسندگان
چکیده
منابع مشابه
An approach for vegetation mapping and pixel-based change detection for IRS-1C LISS III data
Monitoring and tracking vegetation changes in vast and remote areas is a difficult task. Accurate extraction of existing vegetation is the primary step for better statistical assessment. An approach for vegetation mapping is proposed which automatically explores spectral characteristics of connected components in an image. Different frames of multi-spectral Indian Remote sensing IRS-1C LISS III...
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The spread of exotic conifers from commercial plantation forests has significant economic and ecological implications. Accurate methods for invasive conifer detection are required to enable monitoring and guide control. In this research, we combined spectral information from aerial imagery with data from airborne laser scanning (ALS) to develop methods to identify invasive conifers using remote...
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Forest mapping and monitoring surveys are often based on costly and time-consuming field work. Satellite remote sensing data can facilitate these procedures over large forest areas [1]. Therefore, the Forest Research Institute of Baden Württemberg and the Department of Remote Sensing and Landscape Information Systems of the University of Freiburg aim on developing methods to support and to impr...
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Extraction of vegetation is an important step for agricultural, forest and greenery mapping. The proposed method examines the complex process of land cover vegetation pattern classification using an IRS-1C LISS III image. Pre-processing was done by employing partial differential equation (PDE). Normalized differential vegetation index (NDVI) was applied to separate vegetation features from the ...
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ژورنال
عنوان ژورنال: International Journal of Applied Earth Observation and Geoinformation
سال: 2013
ISSN: 0303-2434
DOI: 10.1016/j.jag.2013.04.006