Zhenhua Wan

ORCID: 0009-0003-8127-4336
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About
Contact & Profiles
Research Areas
  • Urban Heat Island Mitigation
  • Climate change and permafrost
  • Fatigue and fracture mechanics
  • High Temperature Alloys and Creep
  • Optical Polarization and Ellipsometry
  • Calibration and Measurement Techniques
  • Remote Sensing and Land Use
  • Human Pose and Action Recognition
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric aerosols and clouds
  • Cryospheric studies and observations
  • Probabilistic and Robust Engineering Design
  • Remote Sensing in Agriculture
  • Marine and coastal ecosystems
  • Visual perception and processing mechanisms
  • Anomaly Detection Techniques and Applications
  • Advanced optical system design
  • Image and Object Detection Techniques
  • Open Education and E-Learning
  • Polar Research and Ecology
  • Satellite Image Processing and Photogrammetry
  • Random lasers and scattering media
  • Climate Change and Health Impacts
  • Drilling and Well Engineering
  • Turbomachinery Performance and Optimization

Guangxi University
2023-2025

Chinese University of Hong Kong, Shenzhen
2024

University of California, Santa Barbara
1992-2007

Center For Remote Sensing (United States)
1994

State Key Laboratory of Remote Sensing Science
1987

The springtime stratospheric ozone (O 3 ) layer over the Antarctic is thinning by as much 50 percent, resulting in increased midultraviolet (UVB) radiation reaching surface of Southern Ocean. There concern that phytoplankton communities confined to near-surface waters marginal ice zone will be harmed UVB irradiance penetrating ocean surface, thereby altering dynamics marine ecosystems. Results from a 6-week cruise (Icecolors) Bellingshausen Sea austral spring 1990 indicated O thinned: (i)...

10.1126/science.1546292 article EN Science 1992-02-21

Abstract This paper presents an evaluation of the Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared bands and status land surface temperature (LST) version-3 standard products retrieved from Terra MODIS data. The accuracy daily LST has been validated in more than 20 clear-sky cases with situ measurement data collected field campaigns 2000–2002. is better 1°C range −10 to 50°C. Refinements improvements were made new version product generation...

10.1080/0143116031000116417 article EN International Journal of Remote Sensing 2003-12-30

A near-real time drought monitoring approach is developed using Terra–Moderate Resolution Imaging Spectoradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) products. The called Condition (VTCI), which integrates land surface reflectance thermal properties. VTCI defined as the ratio of LST differences among pixels with a specific NDVI value in sufficiently large study area; numerator difference between maximum one pixel; denominator minimum LSTs...

10.1080/0143116031000115328 article EN International Journal of Remote Sensing 2003-12-30

Abstract The Moderate Resolution Imaging Spectroradiometer (MODIS) will be the primary daily global monitoring sensor on NASA Earth Observing System (EOS) satellites, scheduled for launch EOS-AM platform in June 1998 and EOS-PM December 2000. MODIS is a 36 channel radiometer covering 0·415-14·235 μm wavelengths, with spatial resolution from 250 m to 1 km at nadir. EOS providing data terrestrial biospheric dynamics process activity. This paper presents suite of land products currently planned...

10.1080/01431169408954346 article EN International Journal of Remote Sensing 1994-11-01

Current MODerate‐resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST, skin temperature)/emissivity products are evaluated and improvements investigated. The ground‐based measurements of LST at Gaize (32.30° N, 84.06° E, 4420 m) on the western Tibetan Plateau from January 2001 to December 2002 agree well (mean standard deviation differences 0.27 K 0.84 K) with 1‐km Version 004 (V4) Terra MODIS product (MOD11A1) generated by split‐window algorithm. Spectral emissivities...

10.1080/01431160600702665 article EN International Journal of Remote Sensing 2007-05-29

An operational algorithm is proposed to retrieve soil and foliage component temperatures over heterogeneous land surface based on the analysis of bi-angular multi-spectral observations made by ATSR-2. Firstly, basis radiative transfer theory in a canopy, model developed infer two using six channels Four visible, near-infrared short wave infrared are used estimate fractional vegetation cover within pixel. A split-window method eliminate atmospheric effects thermal channels. advanced all four...

10.1080/0143116031000101576 article EN International Journal of Remote Sensing 2003-01-01

Mean, clear‐sky surface temperature of the Greenland Ice Sheet was measured for each melt season from 2000 to 2005 using Moderate‐Resolution Imaging Spectroradiometer (MODIS)–derived land‐surface (LST) data‐product maps. During period most‐active melt, mean, ice sheet highest in 2002 (−8.29 ± 5.29°C) and 5.43°C), compared a 6‐year mean −9.04 5.59°C, agreement with recent work by other investigators showing unusually extensive 2005. Surface‐temperature variability shows correspondence...

10.1029/2006gl026444 article EN Geophysical Research Letters 2006-06-01

Abstract Accurate and fine‐scaled prediction of ozone concentrations across space time, as well the assessment associated human risks, is crucial for protecting public health promoting environmental conservation. This paper introduces NetGBM, an innovative machine‐learning model designed to comprehensively levels China's diverse topography analyze spatiotemporal distribution exposure. Our focuses on daily, weekly, monthly predictions, achieving commendable coefficients 0.83, 0.77, 0.79,...

10.1029/2024jd041593 article EN cc-by-nc Journal of Geophysical Research Atmospheres 2024-10-16

Point-of-Interest (POI) recommendation aims to predict users' future locations based on their historical check-ins. Despite the success of recent deep learning approaches in capturing POI semantics and user behavior, they continue face persistent problem data sparsity incompleteness. In this paper, we introduce Multi-Objective Adversarial Imitation Recommender (MOAIR), a novel framework that integrates Generative Learning with multi-objective address issue. MOAIR effectively captures...

10.1609/aaai.v39i12.33382 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

In nature, the wavy ocean surface is a common polarizer, which can change polarization state of incident light by refraction and reflection form new pattern different from atmosphere. this paper, we establish polarized optical transmission model simulate patterns induced surfaces. We study reflected water surfaces inside outside Snell’s window under The correctness simulation results verified qualitative quantitative analysis. environmental factors affecting corresponding are discussed....

10.3390/rs15184565 article EN cc-by Remote Sensing 2023-09-16

The bionic polarimetric imaging navigation sensor (BPINS) is a that provides absolute heading, and it of practical engineering significance to model the measurement error BPINS. existing BPINSs are still modeled using photodiode-based measurements rather than not systematically enough. This paper proposes performance analysis method BPINS takes into account geometric polarization errors optical system. Firstly, key factors affecting overall investigated, Stokes vector-based introduced....

10.3390/s24020498 article EN cc-by Sensors 2024-01-13

Abstract In response to the problem of creep-fatigue interaction damage failure aero-engine turbine blade material, based on modified evolution model Kachanov-Rabotnov and Chaboche, a life prediction for nickel-based superalloy DZ125 is constructed considering nonholding effect coupling stress high temperature with nonlinear superposition creep fatigue according continuum mechanics theory. Simultaneously, microfracture morphology was analyzed using scanning electron microscope, revealing...

10.1115/1.4065356 article EN Journal of Pressure Vessel Technology 2024-04-18

A radiance value of a target pixel recorded by remote sensor can be decomposed into three components: (1) attenuated signature, (2) pure atmospheric radiation, and (3) the contribution made ground through scattering process. Given meteorological optical parameters layer-structured atmosphere, its transmittance distribution accurately calculated with plane-parallel radiative transfer model. For uniform surface, obtained comparing radiances for an atmosphere over black but non-emitting surface...

10.1163/156939387x00171 article EN Journal of Electromagnetic Waves and Applications 1987-01-01

The bionic polarization imaging navigation sensor (BPINS) is a that provides absolute heading, and it of practical engineering significance to model the measurement error BPINS. existing BPINSs are still modeled using photodiode-based measurements rather than not systematically enough. This paper proposes BPINS takes into account geometric errors optical system. Firstly, key factors affecting accuracy investigated Stokes vector-based established. Secondly, based on its model, effect source...

10.20944/preprints202310.0229.v1 preprint EN 2023-10-04

Imitation learning (IL) has shown great potential in various applications, such as robot control. However, traditional IL methods are usually designed to learn only one specific type of behavior since demonstrations typically correspond a single expert. In this work, we introduce the first generic framework for Quality Diversity Learning (QD-IL), which enables agent broad range skills from limited demonstrations. Our integrates principles quality diversity with adversarial imitation (AIL)...

10.48550/arxiv.2410.06151 preprint EN arXiv (Cornell University) 2024-10-08

Learning diverse and high-performance behaviors from a limited set of demonstrations is grand challenge. Traditional imitation learning methods usually fail in this task because most them are designed to learn one specific behavior even with multiple demonstrations. Therefore, novel techniques for quality diversity needed solve the above This work introduces Wasserstein Quality Diversity Imitation (WQDIL), which 1) improves stability setting latent adversarial training based on Auto-Encoder...

10.48550/arxiv.2411.06965 preprint EN arXiv (Cornell University) 2024-11-11
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