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Strategic Study of CAE >> 2001, Volume 3, Issue 8

Important Progress in Estimating Forest Resources

Chinese Academy of Forestry, Beijing, 100091 China

Received: 2001-05-14 Available online: 2001-08-20

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Abstract

Traditional forest resources inventory is a hard mission, which needs much time, work and money. At the end of 1970s, remote sensing technology was introduced into China and has been used since then in the activities of forest resource inventory, especially in estimating forest stock volume, they include: Estimating volume stock of forest using quantitative value and qualitative factors of satellite data; Application of above — mentioned techniquess in different climate zones in China (The method has been spreaded over 7 million hectares in China); Estimating forestland, including area of fragments woodland and index of forest network etc. Through careful analysis of precision against costs, it is indicated that remote sensing method can save 1/3 to 1/2 budget in comparison with the traditional method.

In recent years, based on the previous study and by using modern statistic measure, new exploration and deeper study were done. These studies have solved some key problems in application of remote sensing in forestry resource inventory, such as calibrating remote sensing image against sampling plots on the ground, decreasing field work, increasing accuracy of stock volume on compartment, fast selecting optimal function, and avoiding factors that are hard to be determined by remote sensing data (such as age group, crown canopy, etc.). Both theor etical and practical applications have confirmed that remote sensing information play a leading role in estimating forest stock volume.

These discussed studies have made a good basis for the application of remote sensing in forest inventory, and given strong support for establishing a new system of forest inventory, which use remote sensing technology as primary measure.

At the end of this paper, a frame of new system of forest resource inventory is put forward, and suggestion on key problem in the new system is discussed.

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References

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[ 2 ] 陈希孺, 王松桂.近代回归分析[M].合肥:安徽教育出版社, 1987 link1

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[ 4 ] 赵宪文.林业遥感定量估测[M ].北京:中国林业出版社, 1997 link1

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