TY - JOUR
T1 - Application of Remote Sensing Techniques to Forest Site Survey
AU - Pu, Ruiliang
AU - Fang, Youching
PY - 1992/1/1
Y1 - 1992/1/1
N2 - A forest site survey is fundamental work for afforestation and forest management. The traditional approach to forest site survey requires a large amount of field work and is time consuming. An alternative method of classification and mapping of forest site types with remote sensing data is described in this paper. With this method, site information is extracted through remote sensing image interpretation, site conditions are classified by ordination analysis and appraised using a quantitative aerial photo site index table, which is compiled using a quantitative theory. Finally, site productivities are predicted and a site type map is mapped. The accuracies of experimental results obtained from Mt Da‐Gui forest farm, Guang Xi province, China, indicates that the remote sensing methods meet the operational standard for forest site survey.
AB - A forest site survey is fundamental work for afforestation and forest management. The traditional approach to forest site survey requires a large amount of field work and is time consuming. An alternative method of classification and mapping of forest site types with remote sensing data is described in this paper. With this method, site information is extracted through remote sensing image interpretation, site conditions are classified by ordination analysis and appraised using a quantitative aerial photo site index table, which is compiled using a quantitative theory. Finally, site productivities are predicted and a site type map is mapped. The accuracies of experimental results obtained from Mt Da‐Gui forest farm, Guang Xi province, China, indicates that the remote sensing methods meet the operational standard for forest site survey.
UR - https://digitalcommons.usf.edu/geo_facpub/413
UR - https://doi.org/10.1080/10106049209354376
U2 - 10.1080/10106049209354376
DO - 10.1080/10106049209354376
M3 - Article
VL - 7
JO - Geocarto International
JF - Geocarto International
ER -