TY - JOUR
T1 - Development of spatial scaling technique of forest health sample point information
AU - Lee, Jun Hee
AU - Ryu, Ji Eun
AU - Chung, Hye In
AU - Choi, Yu Young
AU - Jeon, Seong Woo
AU - Kim, Sun Hee
N1 - Funding Information:
Aknowledgement: This study was carried out with the support of Korea Meteorological Administration as part of Research & Development Program with a See-At (See+Atmosphere) grant (KMIPA 2015-6140).
Publisher Copyright:
© Authors 2018.
PY - 2018/4/30
Y1 - 2018/4/30
N2 - Forests provide many goods, ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors that threaten the health of forests such as global warming due to climate change, environmental pollution, and the increase in interest in forests, and efforts are being made in various countries for forest management. Thus, existing forest ecosystem survey method is a monitoring method of sampling points, and it is difficult to utilize forests for forest management because Korea is surveying only a small part of the forest area occupying 63.7% of the country (Ministry of Land Infrastructure and Transport Korea, 2016). Therefore, in order to manage large forests, a method of interpolating and spatializing data is needed. In this study, The 1st Korea Forest Health Management biodiversity Shannon;s index data (National Institute of Forests Science, 2015) were used for spatial interpolation. Two widely used methods of interpolation, Kriging method and IDW(Inverse Distance Weighted) method were used to interpolate the biodiversity index. Vegetation indices SAVI, NDVI, LAI and SR were used. As a result, Kriging method was the most accurate method.
AB - Forests provide many goods, ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors that threaten the health of forests such as global warming due to climate change, environmental pollution, and the increase in interest in forests, and efforts are being made in various countries for forest management. Thus, existing forest ecosystem survey method is a monitoring method of sampling points, and it is difficult to utilize forests for forest management because Korea is surveying only a small part of the forest area occupying 63.7% of the country (Ministry of Land Infrastructure and Transport Korea, 2016). Therefore, in order to manage large forests, a method of interpolating and spatializing data is needed. In this study, The 1st Korea Forest Health Management biodiversity Shannon;s index data (National Institute of Forests Science, 2015) were used for spatial interpolation. Two widely used methods of interpolation, Kriging method and IDW(Inverse Distance Weighted) method were used to interpolate the biodiversity index. Vegetation indices SAVI, NDVI, LAI and SR were used. As a result, Kriging method was the most accurate method.
KW - Forest
KW - Forest health
KW - Forest management
KW - IDW
KW - Kriging
KW - Shannon's index
KW - Spatial interpolation
KW - Species diversity
UR - http://www.scopus.com/inward/record.url?scp=85046951064&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLII-3-751-2018
DO - 10.5194/isprs-archives-XLII-3-751-2018
M3 - Conference article
AN - SCOPUS:85046951064
SN - 1682-1750
VL - 42
SP - 751
EP - 756
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - 3
T2 - 2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing
Y2 - 7 May 2018 through 10 May 2018
ER -