This PDF file contains the front matter associated with SPIE Proceedings Volume 8526, including the Title Page, Copyright information, Table of Contents, Introduction (if any), and the Conference Committee listing.

We have developing two types of 2micron conductive-cooled lasers for wind and CO₂ measurements. One type of lasers is side pumped Tm,Ho:YLF laser operated at 20-40Hz. The laser rod is cooled down to -80C and laser diodes are operated at normal temperature in a vacuum container. With this type of laser, we have built up a coherent lidar system which is used to measure wind and CO₂ concentration. Ho:YLF laser end-pumped by Tm:fiber laser is another type oscillator which will be operated at high repetition rate of 200-300 Hz in normal temperature. The laser will have an amplifier. These lasers are conductive-cooled, solid-state, eye-safe and suitable for space applications.

We have developed a 1.5-μm eye-safe wavelength high average power laser amplifier using an Er,Yb:glass planar waveguide for coherent Doppler LIDAR. Large cooling surface of the planar waveguide enabled high average power pumping for Er,Yb:glass which has low thermal fracture limit. Nonlinear effects are suppressed by the large beam size which is designed by the waveguide thickness and the beam width of the planar direction. Multi-bounce optical path configuration and high-intensity pumping provide high-gain and high-efficient operation using three-level laser material. With pulsed operation, the maximum pulse energy of 1.9 mJ was achieved at the repetition rate of 4 kHz. Output average power of the amplified signal was 7.6W with the amplified gain of more than 20dB. This amplifier is suitable for coherent Doppler LIDAR to enhance the measurable range.

We report on an all-solid-state rapidly tunable pulsed coherent 6-10 μm light source achieved in an optical parametric oscillator (OPO) pumped with an electronically tuned Cr:ZnSe laser and its application to lidar remote sensing for environmental detection. We designed a lidar system using the 6-10 μm light source and a telescope with a primary mirror of 50 cm and a high-efficient HgCdTe detector. The lidar system would be a valuable system in the measurement of chemical agents in the 100-300 m.

A dual-wavelength Q-switched Nd:YAG laser operating at 1064 and 1319 nm is useful as a light source for simultaneous lidar observations of a canopy height and a normalized difference vegetation index. In this study, simultaneous dualwavelength lasing was achieved in a Q-switched Nd:YAG laser by optimizing the resonator designs for both wavelengths and by adjusting a time interval between two Q-switch trigger pulses. Q-switched pulse energies of 6.9 and 6.2 mJ were obtained at 1064 and 1319 nm, respectively. A pulse-to-pulse amplitude fluctuation at each wavelength was then measured to be less than ±9%.

A lidar for measuring fluorescence from atmospheric aerosols was constructed with a third harmonic Nd:YAG laser, a 1- m diameter telescope, and a 32-channel time-resolved photon counting spectrometer system. Fluorescence of aerosols in the spectral range from 420 nm to 510 nm was studied with the excitation at 355 nm. The distribution of fluorescent aerosols was studied in the time-height indications of the broad fluorescence. Type of the aerosols was identified from simultaneous observation with a polarization lidar in the Asian dust and aerosol observation lidar network (AD-Net). It was found that Asian dust and air-pollution aerosols transported from urban or industrial areas emit fluorescence. Fluorescence efficiency was roughly estimated for these aerosols. The results suggest fluorescence measurements combined with the measurement of microphysical parameters of aerosols using a multiple-wavelength Raman lidar or high-spectral-resolution lidar will provide useful information for characterizing chemical properties of aerosols.

Proper oil palm plantation management is crucial for Malaysia as the country depends heavily on palm oil as a major source of national income. Precision agriculture is considered as one of the approaches that can be adopted to improve plantation practices for plantation managers such as the government-owned FELDA. However, currently the implementation of precision agriculture based on remote sensing and GIS is still lacking. This study explores the potential of the use of LiDAR and optical remote sensing data for plantation road and terrain planning for planting purposes. Traditional approaches use land surveying techniques that are time consuming and costly for vast plantation areas. The first ever airborne LiDAR and multispectral survey for oil palm plantation was carried out in early 2012 to test its feasibility. Preliminary results show the efficiency of such technology in demanding engineering and agricultural requirements of oil palm plantation. The most significant advantage of the approach is that it allows plantation managers to accurately plan the plantation road and determine the planting positions of new oil palm seedlings. Furthermore, this creates for the first time, digital database of oil palm estate and the airborne imagery can also be used for related activities such as oil palm tree inventory and detection of palm diseases. This work serves as the pioneer towards a more frequent application of LiDAR and multispectral data for oil palm plantation in Malaysia.

Polarization optical particle counter (POPC) capable of measuring particle shape or sphericity was developed, which uses detection of polarization of light scattered by particles. Sensors that detected P and S polarization components are incorporated at scattering angle of 120˚ in addition to ordinary sensor located at the angle of 60˚. The particle size is derived from the pulse height detected with the ordinary sensor. The size thresholds were determined by measurements of PSL standard particles. Polarization of particle is calculated as the ratio of S polarization component to the sum of all components. The POPC field observations were started in Fukuoka, Japan on 15 March 2012 and in Matsue, Japan on 28 February 2012. Air pollution with high particle number concentration was observed in Fukuoka on 11 April. In that time, the particles with polarization lower than 0.3 constituted 90% of particles in the size range from 0.5 µm to 3 µm and 70-90% of those from 3 µm to 5 µm. Most of the atmospheric aerosol particles were consisted of spherical particles. Significant Asian dust transport was observed in Fukuoka on from 31 March to 1 April. The particles with polarization lower than 0.3 constituted 80% of those from 0.5 µm to 1 µm, 55-65% of those from 1 µm to 5µm. The increase of the ratio of non-spherical particles to all particles in Asian dust event was confirmed. The POPC thus is capable of measuring particle shape as well as size for each individual particle.

In this paper, a 2D shape registration algorithm for noisy data is established by combining the Iterative Closest Point (ICP) method, Expectation Maximization (EM) method, and Lie Group representation. First, the problem is formulated by a minimization problem with two sets of variables: the point-to-point correspondence, and the transformation (i.e., rotation, scaling and translation) between two data sets. The conventional way for solving this model is by iterating alternatively the following two steps: 1) having the transformation fixed, solve the correspondence, and 2) having the correspondence fixed, solve the transformation. In our approach, to enhance the robustness, the EM algorithm is introduced to find the correspondence by a probability which covers the relationship of all points, instead of one-to-one closest correspondence in ICP. Meanwhile, Lie group is used to parameterize transformation, i.e., in the iteration, the rotation, scaling and translation are all elements within respective Lie groups, and we use the element of Lie algebra to represent that of Lie group near the identity via exponential map. This forms a unified framework for registration algorithms. Then, transformation is estimated by solving a quadratic programming. The experimental result in 2D shape registration demonstrates that, compared with Lie-ICP, our algorithm is robuster and more accurate.

The paper presents a study of topographic mapping and sense making with LIDAR data and ground color map. The objective is for possible alternative navigation in case the GPS service is not available. To achieve the objective, a few LIDAR data filtering and image processing techniques are applied. From LIDAR data, an accurate digital elevation model is first generated, then a progressive morphological filtering to remove such interference objects as trees for more reliable matching afterwards. For topographic mapping, the processed LIDAR image and a ground map image are segmented based on the Mean-Shift principle, segmenting the image into different color blocks, then extracting the building color blocks and converting into binary image. Lastly based on the least sum of absolute value, we are able to matching a LIDAR image with a real map image. By performing the effective image filtering and matching process, we have successfully achieved accurate topographic matching based on real LIDAR measurement taken in Singapore. This automatic processing is able to indicate exactly where the LIDAR image was taken.

In the last decade the precision of coherent Doppler differential absorption lidar (DIAL) has been greatly improved in near and middle infra-red domains for measuring greenhouse gases such as CO₂, CH₄ and winds. The National Institute of Information and Communications Technology (NICT, Japan) has developed and is operating a CO₂ and wind measuring ground-based coherent DIAL at 2.05 μm (4878 cm^-1). The application of this technology from space is now considered. In this analysis we study the use of the NICT DIAL for profiling tropospheric water vapour from space. We present the methodology to select the spectral lines and summarized the results of the selected lines between 4000 and 7000 cm^-1. The choice of the frequency offset, the pulse energy and repetition frequency are discussed. Retrieval simulations from the line at 4580 cm^-1 (2.18 μm) suitable for the boundary layer and the stronger one at 5621 cm^-1 (1.78 μm) for sounding the boundary layer and the middle troposphere, are shown.

Recently, we have developed the high output power laser amplifier using Er,Yb:glass planar waveguide in order to increase the measurable range of our 1.5 μm coherent Doppler LIDAR (CDL). In this paper, we introduce this development and demonstration of a long range wind sensing using the developed system. The transmitted pulse has a peak power of 2.4 kW and a width of 580 ns (i.e. pulse energy of 1.4 mJ) with a pulse repetition frequency of 4 kHz, in addition to a nearly diffraction limited beam quality. With this laser amplifier, we demonstrate the measurable range of more than 30 km. According to our own research, this is the longest measurable range demonstration for wind sensing CDLs.

Always, in the atmosphere of the earth we live in is a luminous phenomenona (Fluorescence by cosmic rays, lightning and aurora etc..) has been occurring. JEM-EUSO (Extreme Universe Space Observatory onboard Japanese Experiment Module) experiment is the observation that aims to capture the luminous phenomenon in earth's atmosphere from orbit. JEM-EUSO telescope observations have been using a Fresnel lens of the world's largest. The observation area (250km radius at the sea level) is extremely larger than the telescope installed on the ground to captures the luminous phenomenon. The main target of EUSO is to capture the fluorescence emission caused by UHECR (Ultra-High-Energy Cosmic Ray). This way that is extremely large observation area for UHECR will be frontier for astronomical observation of charged particles for relatively near space (50Mpc). Because JEM-EUSO observe fluorescence in the atmosphere of the earth from space, it is necessary to measure the state of the atmosphere (cloud cover and transparency in particular) for the calibration. The infrared camera mounted on the JEM-EUSO is used to measurement of cloud coverage and cloud top height. For the atmospheric transparency measurement and calibration of the cloud top height, we use the LIDAR system using EUSO's telescope and the laser. It is also possible that in addition to this, to know the state of the atmosphere based on the background light captured by EUSO's telescope. These measurements of atmospheric conditions for the observation of UHECRs is not only calibration data. The atmospheric observation that covers the entire ground is the vital information in the geophysical. Furthermore, it is possible to measure light emission by lightning or meteor that occur in the field of view during observation of darkness in the JEM-EUSO. Expected by combining a lot of measurement, to understand of the earth and proceed further.

It is very important to watch the spatial distribution of vegetation biomass and changes in biomass over time, representing invaluable information to improve present assessments and future projections of the terrestrial carbon cycle. A space lidar is well known as a powerful remote sensing technology for measuring the canopy height accurately. This paper describes the ISS(International Space Station)-JEM(Japanese Experimental Module)-EF(Exposed Facility) borne vegetation lidar using a two dimensional array detector in order to reduce the root mean square error (RMSE) of tree height due to sloped surface.

This paper describes the method and process of developing a forest echo signal simulator to be applied in “iLOVE” : Issjem LiDAR Observation of Vegetation Environment. The goal of this study was to develop an echo signal simulation model and to visualize the generation process of echo signals. The simulator consists of four components: 1) terrain and features, 2) sensor configuration, 3) echo signal generation and 4) visualization. Terrain and feature data were defined to be full polygon object in 3D space. A laser beam refers to numerous sub laser beams, with each sub laser beam featuring specific intensity based on TEM₀₀. The time-series intensity change of sub laser beams was based on Gaussian distribution. At the start of the echo signal generating process, intersections between sub laser beams and target objects were calculated. Then, echo signal of sub laser beams was calculated from the position of intersections, pulse width and specific reflectance of target objects. Finally, an echo signal suitable for footprint size was calculated by synthesizing echo signals of sub laser beams. Meanwhile, intersections were drawn in 3D on the surface of target objects. The results indicated that the simulator was highly useful for understanding the relationship between the echo signal and the structure of target objects, and also for developing algorism for forest applications.

We developed a methodology to estimate the canopy height from the ICESat/GLAS waveform for the purpose of contributing to the design of the Japanese spaceborne LiDAR mission; iss-jem LiDAR for Observation of Vegetation Environment (i-LOVE). We adopted an estimation method using a terrain index, which indicates the steepness of ground surface, to accurately estimate the canopy height in sloped areas. The study area is Hokkaido Island. We conducted a ground survey and collected airborne LiDAR data to use as the ground truth for the canopy height. We then developed some models to estimate the canopy height from a GLAS waveform. As a result, the estimation accuracy decreased in steep sloped areas where the terrain index exceeded 15 m. To reduce the influence of this effect, the estimation equation was separated for a gentle slope (terrain index ≤ 15 m) and a steep slope (terrain index < 15 m). In this case, RMSE was 3 to 5 m. These findings indicated that an accurate estimation method would be ensured by using a footprint of less than 15 m of terrain index for the i-LOVE mission. On the assumption of a forested area located primarily at less than a 30° surface slope on a global scale, it is recommended that the diameter of the i-LOVE footprint should be less than 25 m. i- LOVE is planned to transmit four laser pulses arranged at 2×2 simultaneously. This characteristic of i-LOVE, which does not require DEM, makes it possible to calculate the terrain index accurately and has a large advantage for accurately estimating the canopy height on a global scale.

The light haze of a ground-based impulse LIDAR in an altitude-wise optically inhomogeneous cloud-free atmosphere was computed in dependence of various optical-geometrical parameters of the experiment using the Monte Carlo method. Modeling of the LIDAR echo-signal reflected off the lower boundary of a liquid droplet cloud for a ground-based LIDAR and off the upper boundary of the cloud for an aircraft- and space-based LIDAR was also completed. A feature of these calculations is the choice of the model with altitude-wise statistically inhomogeneous structure of aerosol scattering parameters as the optical model of a cloudless atmosphere. The echo-signals from clouds were computed in the assumption of statistical variation of the altitudes of the lower and upper cloudiness boundaries. In the calculations new effective discrete-stochastic modifications of local estimates were employed.

Lidar is a powerful remote sensing tool to monitor the weather changes and the environmental issues. This technique should not been restricted in those fields. In this study, the authors aim to be apply it to the prediction of weather disaster. The heavy rain and the lightning strike are our targets. The inline typed MPL (micro pulse lidar) has been accomplished to grasp the interaction between the low altitude cloud and the atmosphere and to predict the heavy rain, while it was hard to catch the sign of lightning strike. The authors introduced a new algorism to catch the direct sign of the lightning strike. Faraday effect is caused by lightning discharge in the ionized atmosphere. This effect interacts with the polarization of the propagating beam, that is, the polarization plane is rotated by the effect. In this study, high precision polarization lidar was developed to grasp the small rotation angle of the polarization of the propagating beam. In this report, the interaction between the low altitude cloud and the atmosphere was monitored by the high precision polarization lidar. And the observation result of the lightning discharge were analyzed.

This paper presents the Fog-Haze measurements by Raman-Rayleigh-Mie Lidar in North suburb of Nanjing, the measurement results are analyzed and compared with the weather forecast. Continuous measurements are carried out on 2009/12/2, it is clear day from 01:00 to 08:00 in the morning, and Fog-Haze is measured from at 10:00 in the morning to 19:00 in the evening. The Fog-Haze measurement results coincide with the weather forecast that very day. The Fog-Haze Lidar measurement results on 2009/12/2 are analyzed and compared with the boundary aerosol measurement results on 2010/01/10, the differential characters of range-corrected-signals between Fog-Haze and boundary aerosol are discussed. It is shown that Fog-Haze usually occurs at about 300-400m height and boundary aerosol usually occurs at about 1000m height in Nanjing. Keywords:

We have conducted ground-based lidar network observations in wide areas of East Asia using two-wavelength (532 and 1064nm) backscatter and one-wavelength (532nm) depolarization Mie-scatter lidars for more than ten years. To realize more advanced aerosol classification and retrieval, we improved the Mie-scatter lidars at several main sites by adding a N2 Raman scatter measurement channel (607nm). This Mie-Raman lidar system provides 1α+2β+1δ data at nighttime: extinction coefficient (α) at 532nm, backscatter coefficients (β) at 532 and 1064nm, and depolarization ratio (δ) at 532nm. We also developed an algorithm to estimate vertical profiles of 532nm extinction coefficients of black carbon, dust, sea-salt, and air-pollution aerosols consisting of a mixture of sulfate, nitrate, and organic carbon substances (SF-NT-OC) using the 1α+2β+1δ data. With this method, we assume an external mixture of aerosol components and prescribe their size distributions, refractive indexes, and particle shapes. The measured lidar data are automatically transferred to the NIES data server. We developed an algorithm to estimate particle optical properties (1α+2β+1δ data), planetary boundary layer (PBL) height, and scene classification identifiers representing molecule-rich, aerosol-rich, or cloud-rich layer automatically and provide their quick-looks in semi-realtime on the website (http://www-lidar.nies.go.jp/shingakujutsu/Raman/).

Long-term observations of atmosphere aerosol optical properties over Xi’an area have been carried out by a Raman-Mie lidar and a Micro-pulsed 3D Scanning Mie lidar, which were built at Xi’an University of technology with the laser wavelength of 355nm and 532nm, respectively. The Raman-Mie lidar is used for observation of the atmospheric temperature, water vapor and aerosol profiles simultaneously. In order to deeply discuss the temporal-spatial evolution of the mixed-layer within the urban boundary layer (UBL), the method of combining the absolute minimum of first derivative and second derivative of the range-squared-corrected signal (RSCS) of lidar was used to retrieve the mixed-layer depth (MLD). By using continuous observations of 24-hour (THI display), the MLD in temporal and spatial variation are clearly revealed. Also, the results of continuous observations from July 2006 to October 2011 have been analyzed for revealing the seasonal cycle and the annual cycle of the MLD. By analyzing the average MLD, it is obviously shown that the MLD of seasonal cycle is higher in summer than in winter over Xi’an area. Otherwise, by investigating the relationship of atmospheric boundary layer height, relative humidity and temperature, and the dependence characteristics and a general disciplinarian between them are then obtained. The achievement is of great importance for studying the proliferation of urban pollution and obtaining a complete meteorological status of the urban atmosphere.

The paper is connected with planetary boundary layer (PBL) the lowermost part of the atmosphere its structure and dynamics investigations in the Far Eastern coastal zone in winter and summer. The data have been analyzed were obtained by means of aerosol polarization lidar. Mean values of PBL height, top of the convective layer and mean height of the nocturnal layer were presented. Well-developed nocturnal convection in the PBL was analyzed and explained. On the example of several summer days specific features of the PBL structure and dynamics are identified, presented and analyzed. Maximal values of breeze circulation heights are also presented.

Laser remote sensing technologies are valuable for a variety of scientific requirements. These measurement techniques are involved in several earth science areas, including atmospheric chemistry, aerosols and clouds, wind speed and directions, prediction of pollution, oceanic mixed layer depth, vegetation canopy height (biomass), ice sheet, surface topography, and others. Much of these measurements have been performed from the ground to aircraft over the past decades. To improve knowledge of these science areas with transport models (e.g. AGCM), further advances of vertical profile are required. JAXA collaborated with NICT and RIKEN started a new cross-sectional 3-year program to improve a technology readiness of the critical 1-micron wavelengths from 2011. The efficient frequency conversions such as second and third harmonic generation and optical parametric oscillation/generation are applied. A variety of elements are common issues to lidar instruments, which includes heat rejection using high thermal conductivity materials, laser diode life time and reliability, wavelength control, and suppression of contamination control. And the program has invested in several critical areas including advanced laser transmitter technologies to enable science measurements and improvement of knowledge for space-based laser diode arrays, Pockels cells, advanced nonlinear wavelength conversion technology for space-based LIDIRs. Final goal is aim to realize 15 watt class Q-switched pulse laser over 3-year lifetime.

Hydrogen is expected to become an energy source in the next generation. Although hydrogen gas is a combustible gas with a large explosion concentration range, leakage is presently monitored by contact type gas sensors. The technology for locating a leak and remote sensing of gas concentration distribution is required in case of hydrogen gas leaks. In this study, remote sensing technology of hydrogen gas concentration distribution using a Raman lidar was developed. The lidar system consisted of a pulsed Nd:YAG laser of wavelength 354.7 nm and a Galilean telescope of aperture 170 mm. The system could detect hydrogen gas by vibrational Raman scattering. In this method, hydrogen gas concentration could be measured based on the ratio of the Raman scattering signals from hydrogen gas and from atmospheric nitrogen, which were simultaneously measured. In this manner, the geometrical form factor of the biaxial lidar and the instrumental function were canceled. Hydrogen gas concentration of 0.6-100% could be measured at a distance 13m using this system.

In this paper, we propose a new type of Doppler discrimination system using an unseeded pulsed Q-switched laser and solid etalon. To substantiate our system, we calculate the transmitting spectral power distribution and discriminator characteristics. In our calculation, we use a 25 mm thick solid etalon with a finesse of 30, as well as a normal pulsed laser with a bandwidth of 1 cm^-1. The results reveal that the change in the receiving scattered signal through the discriminator with a given LOS(Line of Sight) wind velocity is more sensitive than a normal iodine metal vapor-based Doppler lidar receiving system. We experimentally verify our suggestion using our Doppler discriminator and transmitter, and confirm that this combination is more sensitive than a metal vapor filter. Moreover, we suggest a more efficient transmitter and a more sensitive double-edge receiving system based on our calculations and experimental results.

A coherent 2-μm differential absorption and wind lidar (Co2DiaWiL) has been built with a high power Q-switched Tm,Hm:YLF laser to measure CO₂ concentration and radial wind velocity. Our experiment was conducted to test the ability of the Co2DiaWiL to make wind measurement in the atmospheric boundary layer and lower free troposphere. The bias in the velocity measurement was estimated as –0.0069 m/s using measurements from a stationary hard target. The magnitude of the random error of radial velocity measurements was determined from data in the vertical pointing mode and the Co2DiaWiL achieved a velocity precision of 0.12 m/s. The radial velocity measurements to ranges up to 20-25 km by the horizontally fixed beam mode for average times of 1 min have been demonstrated with the high laser output power. The Co2DiaWiL-measured radial velocities were directly compared with the wind speeds measured by a closelylocated sonic anemometer. The correlation coefficient was as large as 0.99 for comparison of radial velocities averaged for 1 min from the Co2DiaWiL and sonic anemometer.

Raman lidar is commonly used for measurement of water vapor profiles in the lower atmosphere. However, the treatment of the Raman lidar signals from clouds is not well established. A simplified model taking multiple scattering into account is proposed. The model results in a difference of two exponential functions, one which represents the extinction of laser light inside the cloud, and another which represents the effect of multiple scattering. The model was applied to measurement results using a Raman lidar system consisting of a laser wavelength of 280 nm and detection channels for Raman scattering from water vapor and atmospheric nitrogen. When a cloud was present in the field of view of the lidar, the water vapor Raman scattering signal increased from almost zero at the cloud base to a maximum at a penetration distance of about 50 m, whereas the nitrogen Raman scattering signal decreased monotonously beyond the cloud base. This behavior could be explained by the model, and the measured signals could be adequately reproduced by setting the decay constant of one exponential function equal to the attenuation coefficient of the nitrogen Raman scattering signal, and optimizing the decay constant of the other exponential function. Comparison of measurement results and calculation results based on the model showed that the model is mainly applicable to optically thick clouds, for which the attenuation coefficient is larger than 0.02 m^-1.

Meteorological observation data such as temperature, humidity, wind speed and wind direction are important for validating and improving numerical weather simulation models. Lidar is an effective method for acquiring such data with high range resolution and short time intervals. In this study, we carried out a field observation with coherent Doppler Lidar and Raman Lidar systems at the coastal area of Yokosuka, Japan, and compared the observed data with the results of numerical weather simulations. We obtained the vertical profiles of horizontal wind speeds and wind directions by Doppler Lidar with 65 m vertical range resolution, and the vertical profiles of the water vapor mixing ratio by Raman Lidar with 20 m vertical range resolution at the lower atmospheric boundary layer (200-600 m height from ground level). These data were acquired at time intervals of 10 minutes. We found an interesting phenomenon from observed data indicating that, under weak wind conditions, water vapor in the atmosphere significantly increased just after a definite change in wind direction from land breeze to sea breeze. A similar phenomenon was also predicted by the numerical weather simulation with the same meteorological and terrestrial conditions. We analyzed the numerical results and found that the change in water vapor mentioned above is mainly caused by the difference between the evaporation from land and sea surfaces, which were located upwind of the land and sea breezes, respectively.

Greenhouse gases Observation SATellite (GOSAT) was launched to enable the precise monitoring of the density of carbon dioxide by combining global observation data sent from space with data obtained on land, and with simulation models. In addition, observation of methane, another greenhouse gas, has been considered. For validation of GOSAT data products, ground-base observation with Fourier Transform Spectrometer (FTS), aerosol lidar and ozone-DIAL (DIfferencial Absorption Lidar) at Saga University, JAPAN has been continued since March, 2011. In this article, observation results obtained from aerosol lidar are reported.