A Heterogeneous Spatial Model for Soil Carbon Mapping of the Contiguous United States Using VNIR Spectra
arxiv(2023)
摘要
The Rapid Carbon Assessment, conducted by the U.S. Department of Agriculture,
was implemented in order to obtain a representative sample of soil organic
carbon across the contiguous United States. In conjunction with a statistical
model, the dataset allows for mapping of soil carbon prediction across the
U.S., however there are two primary challenges to such an effort. First, there
exists a large degree of heterogeneity in the data, whereby both the first and
second moments of the data generating process seem to vary both spatially and
for different land-use categories. Second, the majority of the sampled
locations do not actually have lab measured values for soil organic carbon.
Rather, visible and near-infrared (VNIR) spectra were measured at most
locations, which act as a proxy to help predict carbon content. Thus, we
develop a heterogeneous model to analyze this data that allows both the mean
and the variance to vary as a function of space as well as land-use category,
while incorporating VNIR spectra as covariates. After a cross-validation study
that establishes the effectiveness of the model, we construct a complete map of
soil organic carbon for the contiguous U.S. along with uncertainty
quantification.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要