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In this paper we describe remote sensing methods with optical and radar sources to monitor aboveground carbon in forests. We move from forest/non-forest mapping, through forest type mapping (conifer, deciduous and mixed) to major species mapping. Biomass combined with species is required to compute the aboveground carbon. Biomass for forests needs accurate height measurements and allometric equations...
With increasing CO2 in the atmosphere due to fossil fuel burning, there is a need to quantitatively measure the aboveground carbon in forests. The best remote sensing sensors for this task in Canada are hyperspectral sensors to obtain major forest species, and lidar to measure tree height (H). The Greater Victoria Watershed District on Vancouver Island was selected as a test site and imaged with airborne...
The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine...
This paper discusses the nonlinear third interpolating polynomials on tree growth data based on volumetric equations used in Forestry Science. Data variables used are diameter of stem at breast height (Dbh), base (Db), middle (Dm) and top (Dt), just before the crown, with their corresponding stem height of tree or bole (ST). There are 130 mensuration data samples, and the cubic interpolating polynomials...
Forest is an important part of terrestrial ecosystem which plays a significant role in absorbing and storing carbon. In order to estimate the forest carbon sinks, a tree growth model is established considering all the factors including the age, site, individual density and stand factors of tree and the trees are classify into five types by using fuzzy clustering based on growth parameters. Then, the...
This preliminary study is a part of data collection for the development of the prediction model for the estimation of oil palm above ground biomass (AGB) and stem volume using remote sensing data. Oil palm agricultural tree crops have been extensively studied in the aspect of botanical and cultivation due to its socio-economic and commercial values. Malaysia is known as the world's top producers of...
In this study, the aboveground biomass (AGB) was estimated for the forest in Xishuangbanna (Southwestern China) area by combining forest field investigation data and Geoscience Laser Altimeter System (GLAS) data, onboard the Ice, Cloud and land Elevation Satellite (ICESat). The tree height prediction models at GLAS footprint level were developed from GLAS waveform variables and filed survey plot tree...
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...
Microwave remote sensing (MRS) has been widely employed for biomass estimation. However, the retrieval of biomass related parameters for fractional areas with both trees and bare ground areas remains a problem unsolved. The Freeman-Durden decomposition (FD) was developed for applications with vegetation and could make efficient use of both amplitude and phase information provided by polarized MRS...
Based on the status from Dengkou County in Inner Mongolia, forestry pictures and measurements of plants situation were obtained by air-view photography. In 2006, nearly 130 photos of Wulangbuhe desert were taken in Dengkou County, and with the aids of GPS 10 bands of air routes had been operated with three-angel measurement methods. A view map in 1 sg KM under the scale of 1:1000 came to shape after...
The paper firstly briefly introduces the remote sensing investigation in vegetation and wetlands, preprocessing procedure of remote sensing image in the natural resources monitoring, and the commonly-used extraction methods of wetland vegetation information. In addition, the paper discusses the research status of the remote sensing inversion model, and elaborates on the three commonly-used models:...
This research is investigating the above ground biomass mapping of mangrove forest in Vietnam by ALOS PALSAR measurements. Our test sites are located at four districts of Quang Ninh province in the Northeast of Vietnam. Firstly, a field measurement were carried out in to measure water level, tree species, height, diameter at breast height (DBH) and crown diameter. Secondly, Soil sampling will be further...
PALSAR data acquired with 34.3° and 23.1° are used to derive regression models between σ0 and above ground biomass. Field data were taken in Tomakomai national forest located in northern Japan. Dynamic range of 4dB are observed for 34.3°, and this is larger than that of 3dB for 23.1°. The correlation coefficient for 23.1° is higher than that for 34.3° in both HH and HV polarization, which may be explained...
Estimates of forest vegetation carbon storage in subtropical China played an important role in researching climate dynamics and its mechanism. Carbon storage reflecting the effect of biomass and volume was developed for major planted forests (Pinus massoniana, Cunninghamia lanceolata) by means of the fifth FID (1994-1998) and assessing carbon density in three provinces (Hubei, Hunan, Anhui). Results...
Ground topography under vegetated area is liable to bring significant changes on radar backscattering and thereby on the associated standard retrieval algorithms dedicated to forest biomass. Within the framework of the ESA BIOMASS mission, this paper evinces the evolution of P-band polarimetric intensities with a tilted underlying ground. For that purpose, electromagnetic simulations have been achieved...
The influence of the ground slope on radar backscatter has been proven to be greater for lower radar frequencies due to deeper canopy penetration. In this study, multiple heading, P-band SAR data of boreal forest in Sweden was used to find a model for topographic correction for improved biomass retrieval. Eleven models were tested and the best model was selected. The selected model was then used for...
The use of a non-linear estimation algorithm for retrieving the biomass and structure of vegetation from polarimetric Synthetic Aperture Radar (SAR) data is demonstrated for woody regrowth in Queensland, Australia dominated by Acacia harpophylla (Brigalow). By varying the size and density of trees and associated woody components (branches and trunks), multiple simulations of the backscattering coefficient...
Parameters of vegetation spatial structure have important effect on the carbon cycle and biodiversity of the ecosystems. How to estimate above-ground biomass is still a problem need to be worked out. In this paper we tried to use UAVSAR datasets to discuss the relation between backscattering coefficient and local incidence angle in different forest types. By the relation, a method based on scattering...
In this paper we present a forest scattering scenario consisting of solely vertical stems. Stems are the primary volume stores of forests; this model therefore simplifies the forest make-up to represent these major scatterers. This model representation is known as the “Matchstick Model” and is used as a comparison to backscatter data resulting from the combination of macro-ecology with a numerical...
Wetland is a significant component of the land ecosystems to discover the characteristics and ecological laws. Presently, a common method to estimate a regional wetland biomass is normally based on optical remote sensing images. The estimation of wetland biomass by Synthesize Aperture Radar (SAR) is a novel subject. As a new type sensor, SAR has advantages for wetland applications, therefore, it can...
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