Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Upscaling With Conditional Cosimulation for Mapping Above‐Ground Forest Carbon
Forest inventory sample plot data are often combined with remotely sensed images by regression modeling, neural networks, and K‐nearest neighbors to map forest carbon, that is, generate spatially explicit estimates at a desirable spatial resolution. In these methods, forest carbon observations are available only at the sample plot locations, while remotely sensed data are available everywhere. This chapter deals with a study that involves the combination of plot data and Thematic Mapper (TM) images at 30m spatial resolution. This study compares two upscaling methods—point simple cokriging point cosimulation and point simple cokriging block cosimulation—to map above‐ground forest carbon at 990m pixel size in Lin‐An County in China. The results showed both methods not only scaled up the spatial data but also modeled the propagation of input uncertainties from a finer spatial resolution to a coarser one.
Upscaling With Conditional Cosimulation for Mapping Above‐Ground Forest Carbon
Forest inventory sample plot data are often combined with remotely sensed images by regression modeling, neural networks, and K‐nearest neighbors to map forest carbon, that is, generate spatially explicit estimates at a desirable spatial resolution. In these methods, forest carbon observations are available only at the sample plot locations, while remotely sensed data are available everywhere. This chapter deals with a study that involves the combination of plot data and Thematic Mapper (TM) images at 30m spatial resolution. This study compares two upscaling methods—point simple cokriging point cosimulation and point simple cokriging block cosimulation—to map above‐ground forest carbon at 990m pixel size in Lin‐An County in China. The results showed both methods not only scaled up the spatial data but also modeled the propagation of input uncertainties from a finer spatial resolution to a coarser one.
Upscaling With Conditional Cosimulation for Mapping Above‐Ground Forest Carbon
Weng, Qihao (Herausgeber:in) / Wang, Guangxing (Autor:in) / Zhang, Maozhen (Autor:in)
Scale Issues in Remote Sensing ; 108-125
14.02.2014
18 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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