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The accurate estimation of forest height is very important for understanding forest biomass and forest vertical structures. To investigate the potentials of forest height mapping for future Chinese satellite mission concepts with a waveform Lidar system onboard, a field campaign was designed and implemented in Weihe forest farm, Northeastern China in August of 2016. The method we proposed in this...
In this paper, spectral derivatives and textural indices derived from a SPOT-5 image have been investigated for the potential of estimating aboveground biomass (AGB) in the region of Liangshui (47˚10'N, 128˚53'E), Heilongjiang Provence, China. The results indicated that textural indices were more accurate than spectral derivatives and the best model could be obtained by combining textural indices...
Accurately assessing biomass of temperate forests from remote sensing observation still remains a great challenge. High resolution optical imageries become more and more widely available from many kinds of space-borne and airborne sensors at reasonable price. These high resolution imageries contain ample texture indices which have already been used in remote sensing classification and forest structure...
A campaign consists of in-situ measurement, airborne Lidar data and spaceborne data fusion was designed and implemented in Daxinganling of Northeastern China. The purpose of the campaign is to collect field and multi-sensor data to produce spatial explicit map of forest aboveground biomass for the entire region. This paper presents preliminary results of ABG mapping using field data, airborne lidar,...
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