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Accurate estimates of leaf area index (LAI) from remote sensing data is very important for many climate and carbon models. In this study, a new algorithm is developed to online update model states and parameters to estimate LAI from time series MODIS data. Kuusk model is chosen as observation operator to link LAI with reflectance data, and dual Ensemble Kalman filter is used to estimate parameters...
Study of the seasonal change in net primary production (NPP) helps to understand the responses of ecosystem to climate change and is important to carbon cycle research. In this study, MODIS images and corresponding climate data were used to explore the seasonal Variation of terrestrial NPP in Chuxiong Prefecture in 2008. Seasonal NPP in Chuxiong Prefecture was found to show that NPP of Chuxiong prefecture...
The use of lidar and radar instruments to measure forest structure attributes such as height and biomass are being considered for future Earth Observation satellite missions. Combined use of lidar sampling data and complete global coverage of L-band SAR data for vegetation 3D structure mapping requires some new data processing and fusion technologies. In this study, the potential information on biomass...
Multi-date LISS-III data from Resourcesat for the period April to June, 2006 and single date LISS-IV sensor data of mid May, wherever available, was used for area estimation of the crop for the year 2006 for four major districts of Haryana state where majority of summer paddy is grown. For area estimation for the year 2000, only multi-date LISS-III data was used. Hybrid approach of supervised and...
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