A5036642999- Geochemistry and Geologic Mapping
- Remote Sensing and Land Use
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Landslides and related hazards
- Geoscience and Mining Technology
- Mineral Processing and Grinding
- Soil erosion and sediment transport
- Advanced SAR Imaging Techniques
- Industrial Technology and Control Systems
- Cryospheric studies and observations
- Regional Development and Environment
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Environmental Quality and Pollution
- Elevator Systems and Control
- Advanced Computational Techniques and Applications
- GABA and Rice Research
- Coal and Coke Industries Research
- Soybean genetics and cultivation
- Atmospheric and Environmental Gas Dynamics
- Latin American and Latino Studies
- IoT-based Smart Home Systems
Nanjing Surveying and Mapping Research Institute (China)
2024
Aerospace Information Research Institute
2022-2023
Chinese Academy of Sciences
2022-2023
Zhejiang University
2023
Henan Polytechnic University
2022
Guilin University of Technology
2007-2019
Jamestown Community College
2013
China Resources (China)
2008
China Geological Survey
2007-2008
Xi'an Jiaotong University
1985
For identification of forested landslides, most studies focus on knowledge-based and pixel-based analysis (PBA) LiDar data, while few have examined (semi-) automated methods object-based image (OBIA). Moreover, them are focused soil-covered areas with gentle hillslopes. In bedrock-covered mountains steep rugged terrain, it is so difficult to identify landslides that there currently no research whether combining semi-automated OBIA only derivatives could be more effective. this study, a...
The aim of this study was to explore the differences in accuracy winter wheat identification using remote sensing data at different growth stages same methods. Part northern Henan Province, China taken as area, and cycle divided into five periods (seeding-tillering, overwintering, reviving, jointing-heading, flowering-maturing) based on monitoring obtained from agrometeorological stations. With help Google Earth Engine (GEE) platform, separability between other land cover types analyzed...
Accurate estimation of fractional vegetation cover (FVC) is essential for crop growth monitoring. Currently, satellite remote sensing monitoring remains one the most effective methods FVC. However, due to significant difference in scale between coarse resolution images and measurable data on ground, there are uncertainties errors estimating Here, we adopt a Strategy Upscaling-Downscaling operations unmanned aerial systems (UAS) collected during 2 growing seasons winter wheat, respectively,...
失相干(Decorrelation)与大气波动是影响重复轨差分干涉测量(D-InSAR)进行地表形变信息提取的主要因素。相干性降低使得干涉纹图在空间上表现为不连续,难以完成相位解缠。重复观测时大气波动引起的相位延迟在空间域上的不均一分布则降低了D-InSAR提取形变信息,特别是空间范围覆盖较大的形变场的精度。介绍了一种基于相干目标的多基线D-InSAR数据处理算法。该算法根据少量SAR数据构成多基线干涉纹图集,分别利用点目标检测算法和相干系数均值作为相干目标提取的测度;利用相位回归分析模型对干涉相位进行时间域迭代处理,从干涉相位中提取线性形变速率和DEM误差改正,通过迭代处理补偿高程误差,解算线性地表形变速率。该算法提高了D-InSAR形变监测的时间采样率,能准确获取每个观测时刻的形变累积量。以沧州地区2004—2005年的SAR数据为例,获取了该地区地表沉降线性速率及其演变状况。
In order to verify the supplementary effect of radar remote sensing on optical in geological applications, an experimental study use fully polarimetric data for lithologic classification is carried out. First, ASTER are used classify lithology, and then RadarSAT-2 superimposed lithology classification, results quantitatively evaluated by existing regional survey map. The show that total polarization SAR images can be images, which effectively improve accuracy classification.
Quantitatively retrieving mineral abundances from hyperspectral data is one of promising and challenging geological application fields data, the most basic obstacles are mixture characteristic spectra deconvolution method spectra. A series schemes were designed, several kinds used for investigating two obstacles. In experiment, average single scattering albedo was calculated reflectance on basis Hapke radiative transfer model. The error derived 20.05% 5.03% respectively, which shows that all...
By identifying temporarily stable natural reflectors or persistent scatterers (PS), PSInSAR (Persistent Scatterers for SAR Interferometry) technique can analyze this subset of pixels in images, even with long temporal and space baselines, to get high accuracy deformation measurements. We implement the process that is briefly summarized paper apply method Tianjin area detect phenomena using ENVISAT ASAR images. Calibration images helps us select more PSC calibrated backscattering coefficient...
Currently, analyses related the status of soybeans, a major oil crop, as well climate drivers, are based on on-site data and generally focused particular country or region. This study used remote sensing, meteorological, statistical products to analyze spatiotemporal variations at end growing season (EOS) for soybeans in world’s soybean-growing areas. The ridge regression estimation model calculates average annual temperature, precipitation, total radiation contributions phenological...
Very strong slow relaxation has been explored in strontium-bismuth-lanthanum titanate (SLBT) ceramics. Time dependence of quasi static capacitances at various temperatures can be obtained using a linear voltage ramp applied on the sample through sensitive picoammeter. Starting and saturate time constant dielectric relaxations calculated multi none least square method by computer fitting. Ultra low frequency spectra loss tangent as well Cole-Cole diagram Debay equations. Center SLBT ceramics...