Using and comparing two nonparametric methods (CART and RF) and SPOT-HRG satellite data to predictive tree diversity distribution
نویسندگان
چکیده
منابع مشابه
Forest Stand Types Classification Using Tree-Based Algorithms and SPOT-HRG Data
Forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. Traditional methods such as field surveys are almost time-consuming and cost-intensive. Improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. This research co...
متن کاملforest stand types classification using tree-based algorithms and spot-hrg data
forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. traditional methods such as field surveys are almost time-consuming and cost-intensive. improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. this research co...
متن کاملForest Stand Types Classification Using Tree-Based Algorithms and SPOT-HRG Data
Forest types mapping is one of the most necessary elements in forest management and Silviculture treatments. Traditional methods such as field surveys are time-consuming and cost-intensive. Improving satellite data sources and classification methods offer new opportunities for obtaining more accurate forest biophysical maps. This research compares performance of three non-parametric and tree-ba...
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assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
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ژورنال
عنوان ژورنال: Nusantara Bioscience
سال: 2019
ISSN: 2087-3956,2087-3948
DOI: 10.13057/nusbiosci/n060110