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Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
UAS stem volume TLS SAR random forest support vector multiple regression forest biophysical parameter
2023/12/21
The development of new methods for estimating precise forest structure parameters is essential for the quantitative evaluation of forest resources. Conventional use of satellite image data, increasing...
Developing Methods for Estimating Forest Areas under Article 3.4 of the Kyoto Protocol:A Case Study on Private Lands in Gifu Prefecture,Japan
forest register forest under Article 3.4 Kyoto Protocol silvicultural practices
2009/8/28
This study aims to develop a methodology to account for and identify forests under Article 3.4 of the Kyoto Protocol (forests under Art. 3.4), and then to calculate forest area under Art. 3.4. Forests...
Comparison between the Past and Present Systems Used for National Forest Inventory in Japan
forest resource database Shinrinbo forest inventory nation-wide forest inventory
2009/8/24
The forest resource database, called Shinrinbo, provides complete statistics about Japanese forests and forest resources. In 1999, a collaboration between the Japanese Forest Agency and the forest dep...