Improving spatial distribution estimation of forest biomass with geostatistics: A case study for Rondônia, Brazil

Comparison of Three Kinds of Methods on Estimation of Forest Carbon Stocks Distribution Using National Forest Inventory DB and Forest Type Map

“…이를 보완하기 위해 유럽, 북미 FIGURE 1. Study area 등에서는 NFI 자료, 원격탐사 및 GIS 기술을 결합하여 산림탄소저장량을 추정하기 위한 노 력이 활발히 이루어져왔다 (Brown and Gaston, 1995;Reese et al, 2002;Fournier et al, 2003;Freeman et al, 2006;Huiyan et al, 2006;Labrecque et al, 2006;Blackyard et al, 2007;Gjertsen et al, 2007;McRoberts et al, 2007;Sales et al, 2007;Lufafa et al, 2008;Rahman et al, 2008;Wulder et al, 2008;Fuchs et al, 2009;Magnussen et al, 2009;Meng et al, 2009;Nijland et al, 2009;Zhuang et al, 2009). 특히, 유럽에서는 산림탄소저장량 분포 추정을 위해 위성영상 기반의 k-NN (k-Nearest Neighbor) 기법을 많이 활용하고 있으며 (Tomppo and Siitonen, 1991;Reese et al, 2002;Tomppo et al, 2002;Gjertsen et al, 2007;Tomppo et al, 2008;Magnussen et al, 2009) 우리나라에서도 관 련 연구가 최근에 수행된 바 있다 (Yim et al, 2009;Jung et al, 2010 …”

Geostatistical Analysis of Monthly Temperature Distributions using Topographic Data: A Case Study around Jirisan Areas

“…(Creutin et al, 1988;Hevesi et al, 1992;Kyriakidis et al, 2001;Hengl et al, 2011). 이외에도 원격탐사 자료 등 을 이용한 토양 유기물 분포도 제작 (Simhahan et al, 2006), 지질도를 이용한 지하수 성분 분포도 제작 (Goovaerts et al, 2005), 임상도와 토양도를 이용한 산림 바이오매스 분포도 제작 (Sales et al, 2007) 2) 단변량 크리깅…”

Assessment of Forest Aboveground Biomass Stocks and Dynamics with Inventory Data, Remotely Sensed Imagery and Geostatistics

“…The need of continuous maps where the phenomenon under study can be individually analysed or used as auxiliary variable in a specific model requires that the spatial predictions are represented in the most accurate way. Over the years different spatial prediction methods have been explored in diverse data type (Isaaks & Srivastava, 1989;Goovaerts, 1997;Labrecque et al, 2006;Sales et al, 2007;Meng et al, 2009). Some approaches have a simple application methodology however others are sometimes complex in what concerns to their implementation, or the selection of the variables to be used.…”