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Simulation of forest carbon fluxes over Greater Khingan based on strategy of model integration and data assimilation from 2000 to 2012 was conducted in this study. Original MODIS MOD_17 GPP (MOD_17) model was optimized over Greater Khingan using downscaled meteorological data, optimized light use efficiency, and refined GLASS fPAR products. Afterwards, representative forest plots for different forest...
Forest vertical canopy cover (VCC) is an essential factor to be considered during forest resource inventory, sub-compartment division and thinning intensity. In order to monitor the forest canopy structure changes over the Greater Khingan, two temporal (2005 and 2010) forest VCC are derived by inverting the Li-Strahler geometric-optical model (GO) based on the extracted endmembers. The results show...
Forest is an important component of terrestrial ecosystems, so it is necessary to estimate the forest aboveground biomass (AGB) accurately in order to reduce the uncertainty of the carbon stock in forest ecosystem. In this study, a fast, efficient and automatic method has been proposed, called as Automatic KNN(AKNN). Using the Landsat 8 OLI data, airborne polmetric SAR (PolSAR) data, the AKNN has...
With the rapid development of sensor technology, multiple sensors are often available in many engineering applications, such as space object tracking. How to effectively use multiple sensor information is the key to achieving accurate space object state information. In this paper, the information weighted consensus (IWC) strategy is deployed to solve the cooperative sensor tracking problem. In addition,...
We present an improvement for the adaptive Goldstein phase filter guided by interferometric synthetic aperture radar (InSAR) coherence (Baran phase filter). The proposed method addresses the under-filtering over incoherent area where the filter parameter alpha is underestimated by the biased coherence estimation. Through correcting the overestimate of the sample coherence, the correct filter parameter...
This study explores retrieval of wall-to-wall forest above-ground biomass (AGB) over Jilin province in Northeast China, using the optimized non-parametric k-NN method, the 7th National Forest Inventory (NFI) data, and the remote sensing data: Landsat-TM/ETM+ images. For pixel-based validation, the estimated result was compared to the NFI data by leave-one-out process and R2 = 0.40 and RMSE = 54.29...
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