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Medium spatial resolution biomass is a crucial link from the plot to regional and global scales. Although remote-sensing data-based methods have become a primary approach in estimating forest aboveground biomass (AGB), many difficulties remain in data resources and prediction approaches [1, 2]. Each kind of sensor type and prediction method has its own merits and limitations. To select the proper...
We have investigated the retrieval of total aboveground, stem and branch biomass using multi-temporal SAR data acquired at C-, L-, and P-band by Radarsat-2, ERS-2, ALOS PALSAR, and SETHI for a forest site in Sweden. A semi-empirical model was used to model C- and L-band backscatter as function of total aboveground, stem and branch biomass; a linear regression model was used for P-band. Calibrated...
Precision agriculture has the potential to improve crop yield and resource use efficiency while protecting the environment. Effective monitoring of crop biomass during the growing season is important for making in-season management decisions. One commonly used active crop canopy sensor for non-destructive estimation of crop biomass is the GreenSeeker sensor. The GreenSeeker normalized difference vegetation...
China has a wide variety of forest types. It is challenging to make a reliable estimation of these forest aboveground biomass (AGB) using geo-spatial technologies. We developed a Field-Airborne-Spaceborne (FAS) comprehensive observation method for AGB estimation. According to forest ecological zones of China, we carried out three FAS campaigns in the Northeast, central, and Southwest of China. Airborne...
The time variation of phase height from interferometric SAR (InSAR) from TanDEM-X is shown for 3 years, in Tapajos National Forest, Brazil. Its RMS, for one secondary stand, about a model linear in time is 0.5 m. This RMS is compared to that for 30 stands at one epoch. The single-epoch RMS for a model linear in mean field height is 2.2 m. It is suggested that the improved performance of the temporal...
In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted...
Accurate estimation of forest aboveground biomass (AGB) is crucial for monitoring ecosystem responses to environmental change. Optical remote sensing is the most widely used method for obtaining AGB information. However, there is a need for improving the accuracy of AGB estimates obtained in this way. In this paper, a synergistic estimation model through the integration of spectral and textural features...
In recent years, first approaches using quaternion numbers to handle and model multi chromatic images in a holistic manner were introduced. By defining quaternion Fourier transform, multidimensional data such as color images can be efficiently and easily process. On the other hand, multi chromatic satellite data appear as a primary source for measuring past trends and monitoring changes in forest...
Grassland ecosystem is one of the most important terrestrial ecosystems in China. Grassland aboveground biomass (AGB) is not only the material base for maintaining grassland ecosystem, but also the most direct indicator to reflect grassland status. AGB determines the herbivore carrying capacity in grassland ecosystem. Therefore, it is important significance to retrieve AGB to study the regional carbon...
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...
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,...
Accurate estimates of aboveground biomass (AGB) from forest after disturbance could reduce the uncertainties in carbon budget of terrestrial ecosystem and provide critical information to related carbon policy. Yet the loss of carbon from forest disturbance and the gain from post-disturbance recovery have not been well assessed. In this study, sensitivity analysis was conducted to investigate: 1) influence...
Additive aboveground biomass equations were developed for individual trees of eight major species in the over-logged forests of northeast China using data from 286 trees destructively sampled in these forests. Diameter at breast height was the only predictor variable used in the model specification. The equations for component biomass (i.e. stem wood, stem bark, branch and foliage in this case) and...
In this study, we evaluated the precision of different regression models correlating grasslands aboveground biomass (AGB) and its corresponding vegetable index (VI). We further identified changes in the size and distribution of AGB and explored the relationships between interannual AGB pattern and climatic factors in the eastern Inner Mongolia grasslands by integrating AGB data collected from 520...
In this paper, using 16 days 250m MODIS vegetation index dataset, the relationship between eight vegetation indexes (VIs) and aboveground biomass in Gannan grassland of China, was analyzed. Based on their correlations, monitoring models of aboveground biomass was constructed, and then the aboveground biomass of the whole Gannan Autonomous Region and its every county were estimated. The results showed...
This paper employs a method based on a parameterized first-order radiative transfer (RT) model at L-band to evaluate the aboveground biomass of forest area using Soil Moisture and Ocean Salinity (SMOS) data. A comprehensive database, including forest structure information based on L-system and the corresponding scattering properties, was established. Then the parameterized first-order RT retrieval...
In this study, we measured CO2 absorption and biomass of the typical wetland plant communities using the LI-7000 CO2/H2O analyzer in the Xilin River Basin, Inner Mongolia, China. The results are as follows: 1) The Poa annua+Equisetum arevene Community, Lathyrus palustris Community, Polygonum alopecuroides Community, Cirsium esculentum Community, and Glyceria maxima+Equisetum hyemale Communitiy have...
As an important active remote sensing tool in forest remote sensing, lidar is able to provide information on tree height, canopy structure, aboveground biomass, among other parameters. It has become desirable to be able to classify tree species using lidar data during recent years. Research has been performed using commercial non-polarimetric lidar in tree species classification, at either dominant...
In this paper, the response of ALOS (the Advanced Land Observing Satellite) PALSAR (the Phased Array type L-band Synthetic Aperture Radar) data to the forest biomass was analyzed in the Qilian Mountain area within Gansu province, western China. Due to not enough field biomass, the Light Detection and Ranging (LiDAR) data were used to extract biomass in a 20 m ?? 20 m cell. Then, the relationship between...
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