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GCOM-C SGLI land products are being developed toward better understandings of terrestrial carbon cycle and future climate change projection. In this paper, we will introduce two research products, Leaf Area Index (LAI) and Net Primary Productivity (NPP) and their application of these products to earth system models (ESMs). The LAI product as research product is an improved version from standard product...
Compared with the traditional remote sensing, multi-angular observation could get the detailed three-dimensional structural information of forest through different directional observations, which provides a new method for quantitative remote sensing.In this paper the look-up table was constructed according with the different kinds of remote sensing model. The mixed pixel model was used as TM/ETM+...
It has been possible to acquire precise point clouds of surface features from terrestrial laser scanner data. And it is a research hot spot to figure up the LAI of a single tree or wood combined data clouds model of single tree with gap fraction model. We used the point clouds of a single tree from field measurements combined with gap fraction model to estimate the LAI. And we found that a reasonable...
Leaf area index (LAI) and leaf chlorophyll content (Cab) are two significant parameters that control physical and physiological processes in vegetation canopies. The hyper spectral data, CHRIS/PROBA, were used in this study. Simultaneous ground experiments for CHRIS were carried out in July 1, 2008 in Zhangye during experiment of the Watershed Airborne Telemetry Experimental Research (WATER). In this...
PAR and FPAR are two important variables in agricultural field. Some researches show that many factors, such as LAI (leaf area index), LAD (leaf ange distribution) and the heterogeneity of vegetation will affect the distribution of PAR and FPAR. In order to understanding the exchange process of material and energy, Radiosity-Graphics combined Model (RGM) (Qin et al., 2000) is used to simulate the...
This study introduces a parallel implementation of unmixing algorithm for a variable-endmember linear mixture model (VELMM). The model had been developed to retrieve leaf area index (LAI) and fraction of vegetation cover (FVC) from remotely sensed surface reflectance. Since the model consists of a linear sum of two nonlinear functions, the unmixing algorithm involves a constrained optimization process...
Improving plant structure is pivotal for increasing the potential yield of crops. The aim of this paper was to evaluate the influence of leaf angle and leaf area index (LAI) on light interception efficiency and capacity of biomass production of rice using 3-D models. A group of virtual plant types of rice, with different combinations of leaf angles, was designed based on the 3-D data of a real rice...
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