A5102778871- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Forest Insect Ecology and Management
- Remote Sensing and Land Use
- Forest ecology and management
- Advanced Statistical Methods and Models
- Fire effects on ecosystems
- Psychometric Methodologies and Testing
- Technology and Security Systems
- Advanced Statistical Modeling Techniques
- Sensory Analysis and Statistical Methods
- Ideological and Political Education
- Mobile and Web Applications
- Radio Wave Propagation Studies
- Electric and Hybrid Vehicle Technologies
- Distributed Sensor Networks and Detection Algorithms
- Power Line Communications and Noise
- Technology Adoption and User Behaviour
- Soil Geostatistics and Mapping
- Energy Efficient Wireless Sensor Networks
- Optimal Experimental Design Methods
- Bullying, Victimization, and Aggression
- Remote-Sensing Image Classification
Liaocheng University
2012-2024
China Mobile (China)
2009-2023
University of California, Berkeley
2012-2017
Ningbo University
2017
Zhejiang University
2017
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Plus (ETM+) data. classified over 6600 scenes of TM data after 2006, 2300 ETM+ before all selected from green season. These images cover most world's land surface except Antarctica Greenland. Most these came United States Geological Survey in level L1T (orthorectified). Four classifiers that were freely available employed, including conventional maximum likelihood classifier...
We report on a global cropland extent product at 30-m spatial resolution developed with two land cover maps (i.e. FROM-GLC, Finer Resolution Observation and Monitoring, Global Land Cover; FROM-GLC-agg) 250-m probability map. A common validation sample database was used to determine optimal thresholds of in different parts the world generate cropland/noncropland mask according classification accuracies for samples. decision tree then applied combine masks: one existing from literature other...
Disturbances are key processes in the carbon cycle of forests and other ecosystems. In recent decades, mountain pine beetle (MPB; Dendroctonus ponderosae) outbreaks have become more frequent extensive western North America. Remote sensing has ability to fill data gaps long-term infestation monitoring, but elimination observational noise attributing changes quantitatively two main challenges its effective application. Here, we present a forest growth trend analysis method that integrates...
Continuous monitoring of forest cover condition is key to understanding the carbon dynamics ecosystems. This paper addresses how integrate single-year airborne LiDAR and time-series Landsat imagery derive change information. data were used extract at sub-pixel level for a single year, Landtrendr algorithm was applied spectral explore temporal information change. Four different approaches employed model relationship between data. The result shows incorporating historic using trajectory...
The recent widespread mountain pine beetle (MPB) outbreak in the Southern Rocky Mountains presents an opportunity to investigate relative influence of anthropogenic, biologic, and physical drivers that have shaped spatiotemporal patterns outbreak. aim this study was quantify landscape-level explained dynamic MPB mortality, simulate areas with future potential mortality under projected climate-change scenarios Grand County, Colorado, USA. were characterized by analysis a decade-long Landsat...
Several recent works have tackled the estimation issue for unidimensional four-parameter logistic model (4PLM). Despite these efforts, remains a challenge multidimensional 4PLM (M4PLM). Fu et al. (2021) proposed Gibbs sampler M4PLM, but it is time-consuming. In this paper, mixture-modelling-based Bayesian MH-RM (MM-MH-RM) algorithm M4PLM to obtain maximum posteriori (MAP) estimates. comparison of MM-MH-RM original algorithm, two simulation studies and an empirical example demonstrated that...
The calibration of the one-parameter logistic ability-based guessing (1PL-AG) model in item response theory (IRT) with a modest sample size remains challenge for its implausible estimates and difficulty obtaining standard errors estimates. This article proposes an alternative Bayesian modal estimation (BME) method, Expectation-Maximization-Maximization (BEMM) which is developed by combining augmented variable formulation 1PL-AG mixture conceptualization three-parameter (3PLM). By comparing...
Abstract Based on the integrated perspective of reality and virtual networks, this study aims to explore mechanism how interpersonal difficulties influence Chinese adolescents’ online deviant behavior roles morality social support in relationship. A questionnaire containing four psychological scales was administered 1,120 adolescents, meditating moderating effects were analyzed using structure equation modeling. The results show that (1) Real-life can significantly increase behavior, whereas...
Limited factors and calculation method of VOLTE capacity were analyzed in this paper. Firstly, several the limited presented. Then, influence key technology was analyzed. At last, methods each kind restriction examples proposed.
Refinement of the radio network system-level simulation requires accurate propagation model as a basis, so calibration is an essential step in wireless planning and work. Propagation usually result all Continuous Wave (CW) tests which do not distinguish between unified corrections, would results cannot fully reflect actual environment. This paper presents improved model, for 2.6GHz, methods to address problem, making more accurately wave environment, improve accuracy.
In view of the problems current teaching content being out touch with social needs and students' poor practical abilities other issues, this paper analyzes new international software engineering training model. Based on iterative optimization method updating idea, optimizing curriculum system, strengthening schoolenterprise cooperation improving teachers' qualities, puts forward an interactive model, which is suitable for domestic masters. The model could cultivate compound application...
Metric learning is a popular approach for measuring the similarity between samples and essential many machine tasks. However, its performance may be degraded when data corrupted by noise, feature redundant, or heterogeneously distributed. To circumvent these limitations, we propose semi-supervised subspace local metric algorithm. Specifically, find low-dimensional regarding as an inverse problem on Grassmannian manifold. Then learn some positive definite metrics defined different regions...
First, the paper analyzes basic principle of uplink MU-MIMO and gives user matching conditions application suggestion. Then, an estimation method gain is presented based on tests analysis. At last, performance in current condition also given.
Network resources are the data core of OSS domain telecom operation support system. With rapid development industry in recent decades, it has entered era big due to accumulation a large amount data. However, imperfect resource management mechanism, network failure, cutover, complexity relationship itself, human and other factors, volume problem is getting larger larger. Through technology, this paper builds distributed database cluster based on greenplum, proposes verification tool improve...
Compare with the voice service, mobile data service is more complex. It has many types of services according to different network resources and customers' habits. found that business model plays an important role in helping operator understand habits, market promotion. can also be used optimization. The old ways get not widely due some weakness. In this paper, a new method proposed. By using method, we got analyzed kinds way, such as impact phone. testing results shows it good performance on...