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Soil respiration (Rs) is a major CO2 flux within terrestrial ecosystems. This study examine the feasibility of applying HJ-1 CCD data to analyze the growing-season variations of Rs in two irrigated cropland ecosystems. At growing season time scale, crop biophysical parameters, such as leaf chlorophyll content (Chlleaf) and green leaf area index (GLAI), explained most Rs variation in the maize and...
Most crop classification work use the ground reference data to training the classifier; but sometimes, the ground reference data cannot be obtained. In this paper, we tried to use the NDVI time series obtained during 2006 and 2013 to classify crop types in 2014 at 30 m spatial resolution. The experiment was conducted in Southeast Kansas, USA. Firstly, we extracted the NDVI time series using ground...
The vertical distribution of plant physiological composition plays an important role in vegetation growth and carbon stock. The hyperspectral LiDAR was thought to be the most promising solution to assess the vertical distribution of vegetation physiological parameters, such as LAI (Leaf Area Index) and chlorophyll content. However, the instrument was not fully feasible, so the simulation and experiment...
This research aims at evaluating the potential of multi-temporal images acquired in April-June period for crop mapping before harvest in Kashgar China. Firstly, images of both Landsat-5 TM and Huan Jing (HJ)-1 CCD data were used to acquire an image time series with 30 m spatial resolution and 15 day temporal resolution during the entire growing season. Subsequently, period-by-period separability of...
A downconverting analog photonic link based on DP-QPSK MZM is proposed. The nonlinear distortions components are significantly suppressed using DSP-based post-compensation method. Finally, an SFDR of 123.3 dB-Hz2/3 is achieved, which is improved by 21.5dB.
Atmospheric pressure low-temperature plasma jet has become one of the hot research issues in plasma science and technology, and a plasma jet array is a tendency for plasma jet application. In this paper, atmospheric pressure low-temperature plasma jet array is generated by a one-dimensional device of two quartz tubes with a single ring electrode configuration, and the feed gas is helium. The discharge...
Surface dielectric barrier discharges with five different grounded electrode's widths are produced in order to investigate the effect of grounded electrode's width on electrical characteristics. The electrical parameters including applied voltage, total discharge current and transported charges are measured and calculated, respectively. Results show that the total discharge current has two obvious...
A method based on radiative transfer models (RTM) incorporating multi-angle data is used to estimate LAI. The estimation of LAI from inversion will be based on Look Up Tables (LUT) approach. The usefulness of the method was verified using the data of Spectral database of Chinese typical features. The determination coefficient R2 between estimated result and measurement data is high to 0.6046. The...
A new GPP/NPP model driven by the satellite SAR data was introduced in this paper. It was based on the light use efficiency theory and was referred to the MODIS model for the value of the maximum light use efficiency of different vegetation types. The model was testified in the HEIHE area with ENVISAT-SAR data and showed its feasibility to estimate GPP/NPP. Firstly, the driving factors such as PAR,...
Cold atmospheric-pressure plasma is rich in active particles, with good physical and chemical properties. It has a wide range of applications in areas such as surface modification of materials, and biomedical and environmental treatment. A dielectric barrier discharge is a traditional way to generate cold plasma, but its confined discharge gap limits some applications. The plasma jet is a method to...
Global leaf area index (LAI) products such as MODIS LAI product et al. have relatively low spatial resolution (250m–7km) and can not meet the needs of high spatial resolution remote sensing applications. Therefore, it is necessary to explore the feasibility of the algorithm based on physical model for LAI retrieval using high spatial resolution remote sensing imagery. This study utilized the algorithm...
Satellites sensors, e.g., MODIS, NOAA-AVHRR, SEAWIFS, are widely used satellite data. However, the coarse spatial resolution of these data limited the application. In this paper, we propose a novel approach for the simulation of high spatial resolution image from mutil-temporal coarser resolution satellite data that will has both high spatial resolution and temporal resolution. Through detecting temporal...
This paper used water related vegetation indices calculated from Hyperion image to make water content mapping. The study area is located in Zhangye city, Gansu province in Heihe River Basin of China. Hyperion hyperspectral data was acquired on September 10, 2007. Using Hyperion reflectance of 35 plots, the relationships between vegetation indices and Equivalent Water Thickness (EWT) were calculated...
Dielectric barrier discharge excitated by unipolar pulsed power is a promising approach for producing non-thermal plasma at atmospheric pressure. A magnetic compression solid-state pulse power generator is used to produce dielectric barrier discharge (DBD). The generator is capable of providing repetitive pulses with the voltage of up to 30 kV and duration of 70 ns at a 300 Ω resistive load. This...
Recently, the generation of volume diffuse discharge under ultra-fast pulsed excitation attracted significant attention. In this paper, the discharge is generated in tip-grid gaps in air at atmospheric pressure using a solid-state pulse generator whose output pulse has a rise time of about 15ns and a full width at half maximum of 30–40ns. Both the characteristic and discharge mode are studied by the...
Two applications of Lidar in three-dimensional visualization were proposed. The first one was single tree modeling. Regional-Maximum and K-means algorithm were used to isolate one single tree and its data points, and a SuperQuadric surface was fit as the silhouette of the tree's canopy. Then a geometric tree model was obtained with L-studio software. The second application was 3D vegetation visualization...
A virtual forest modeling approach using SRTM and TM data is proposed. L-systems (a plant modeling language) is used to create the coniferous and deciduous tree models with different LAI (Leaf Area Index) values. Output images of these tree models are planted on the 3D terrain built from SRTM data, via the image-based method of crossed-billboards. TM image pl93r026 is used to generate the land use...
It is vital to reconstruct a three-dimensional terrain by a few sparse points in the digital elevation model (DEM). However, the reconstructed surfaces from elementary functions(e.g. lines and cubics) appear too smooth to represent a terrain with self-affinity property. The conventional fractal reconstruction methods are time-consuming and require too many parameters to set. In this paper we propose...
Ocean primary production (OPP) is an important indicator of ocean ecological system. The spatial and temporal pattern of OPP is helpful for global climate change study. Remote sensing has the advantage of dynamic and large-scale information collection. Integration of remote sensing and ecological model is promising for OPP study. The aim of our study is to: 1) choose the suitable coefficient algorithms...
In this paper, we focus on the area covered by vegetation and compare the canopy reflectance derived from MODIS images with reflectance simulated by radiation transfer model. Instead of statistic models, physical models are chosen because of the explicit physical foundation that they possess. Two sampling areas are collected in Jiangxi province in China. Detailed information of vegetation in these...
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