Ji Yang

ORCID: 0000-0003-4092-2264
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About
Contact & Profiles
Research Areas
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Urban Heat Island Mitigation
  • Geophysics and Gravity Measurements
  • Coastal wetland ecosystem dynamics
  • Flood Risk Assessment and Management
  • Solar and Space Plasma Dynamics
  • Conservation, Biodiversity, and Resource Management
  • Remote-Sensing Image Classification
  • Soil Moisture and Remote Sensing
  • Environmental Changes in China
  • Urban Green Space and Health
  • Marine and coastal ecosystems
  • Geomagnetism and Paleomagnetism Studies
  • Oceanographic and Atmospheric Processes
  • Hydrology and Watershed Management Studies
  • Soil erosion and sediment transport
  • Coastal and Marine Dynamics
  • Human Mobility and Location-Based Analysis
  • 3D Surveying and Cultural Heritage
  • Cryospheric studies and observations
  • Pluripotent Stem Cells Research
  • Ocean Waves and Remote Sensing

Guangzhou Institute of Geography
2015-2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2024

Guangdong Academy of Sciences
2020-2024

First Teaching Hospital of Tianjin University of Traditional Chinese Medicine
2024

Seoul National University
2023

Bio-Medical Science (South Korea)
2023

Dalian University of Technology
2023

Korea University
2021

Center For Remote Sensing (United States)
2020

Guangzhou Institute of Geochemistry
2017

Knowledge of the precise water depth in shallow areas ocean is great significance to safe navigation ships and hydrographic surveying. Compared with traditional bathymetry, satellite remote sensing for determination makes it possible cover large by dynamic observation. In this paper, we conducted an optically bathymetric inversion study using a Stumpf empirical model, random forest neural network support vector machine model based on Sentinel-2 images Ganquan Dao measured bathymetry data. We...

10.3390/rs15020393 article EN cc-by Remote Sensing 2023-01-09

Abstract Reconstruction of skin equivalents with physiologically relevant cellular and matrix architecture is indispensable for basic research industrial applications. As skin-nerve crosstalk increasingly recognized as a major element physiological pathology, the development reliable in vitro models to evaluate selective communication between epidermal keratinocytes sensory neurons being demanded. In this study, we present three-dimensional innervated keratinocyte layer neuron-epidermal...

10.1038/s41467-023-37187-4 article EN cc-by Nature Communications 2023-03-17

Abstract. Retrieving total suspended solids (TSS) concentration accurately is essential for sustainable management of estuaries and coasts, which plays a key role in the interaction between hydrosphere, pedosphere atmosphere. Although many TSS retrieval models have been published, general inversion method that applicable to different field conditions still under research. In order obtain remote sensing model suitable estimating concentrations with wide range coasts by Landsat imagery, after...

10.5194/gmd-10-4347-2017 article EN cc-by Geoscientific model development 2017-11-30

More than 90% of the sugar production in China comes from sugarcane, which is widely grown South China. Optical image time series have proven to be efficient for sugarcane mapping. There are, however, two limitations associated with previous research: one that critical observations during growing season are limited due frequent cloudy weather China; other classification method requires imagery covering entire season, reduces efficiency. The Sentinel-1A (S1A) synthetic aperture radar (SAR)...

10.3390/rs11070861 article EN cc-by Remote Sensing 2019-04-10

Abstract Under dual impacts from climate change and human activities, the Yellow River Basin (YRB) of China suffers droughts water scarcity. Understanding variations terrestrial storage (TWS) over YRB is significant beneficial to regional resources management sustainable development. This study investigates TWS in using data sets two solutions (RL05 RL06) Gravity Recovery Climate Experiment (GRACE) satellites, as well global land surface models (the NOAH model Catchment Land Surface Model...

10.1029/2019jd031432 article EN Journal of Geophysical Research Atmospheres 2019-11-26

Building function type is an important parameter for urban planning and disaster management. However, existing identification methods do not always correctly recognize all building functions because of missing point interest (POI) data in private areas. In this study, we proposed a hierarchical data-mining model to identify types using accessible auxiliary data, which was then applied case study. Residential property assessed address residential POIs. The were assigned one five different...

10.1080/13658816.2022.2046756 article EN International Journal of Geographical Information Science 2022-03-07

We present the first direct measurements of terahertz atmospheric transmission above Dome A, highest point on Antarctic plateau at an elevation 4.1 km. The best-quartile during Austral winter is 80% a frequency 661 GHz (453 μm), corresponding to precipitable water vapor column 0.1 mm. Daily averages as low 0.025 mm were observed. atmosphere very stable, and excellent observing conditions generally persist for many days time. exceptional over high open new far-infrared spectral windows...

10.1086/652276 article EN Publications of the Astronomical Society of the Pacific 2010-03-19

Land surface temperature (LST) is a vital physical parameter of earth system. Estimating high-resolution LST precisely essential to understand heat change processes in urban environments. Existing products with coarse spatial resolution retrieved from satellite-based thermal infrared imagery have limited use the detailed study energy balance, evapotranspiration, and climatic at scale. Downscaling practicable approach obtain high accuracy LST. In this study, machine learning-based...

10.3390/rs12071082 article EN cc-by Remote Sensing 2020-03-27

Abstract Satellite retrieved soil moisture (SM) shows great potential in hydrological, meteorological, ecological, and agricultural applications, while the coarse resolution limits its utilization regional scale. The regression tree‐based machine learning algorithms reveal promising capability SM downscaling. However, it lacks systematic study dedicated to intercomparisons of explicitly illuminate their characteristics. In this study, comparisons are made systematically evaluate performances...

10.1029/2020ea001267 article EN Earth and Space Science 2020-10-01

The use of unmanned aerial vehicles (UAV) can allow individual tree detection for forest inventories in a cost-effective way. scale-space filtering (SSF) algorithm is commonly used and has the capability detecting trees different crown sizes. In this study, we made two improvements with regard to existing method implementations. First, incorporated SSF Lab color transformation reduce over-detection problems associated original luminance image. Second, ported four most time-consuming...

10.3390/rs9070721 article EN cc-by Remote Sensing 2017-07-13

This study explored the model of urban impervious surface (IS) density, land temperature (LST), and comprehensive ecological evaluation index (CEEI) from centers to suburbs. The interrelationships between these parameters in Guangzhou 1987 2019 were analyzed using time-series Landsat-5 TM (Thematic Mapper), Landsat-8 OLI (Operational Land Imager), TIRS (Thermal Infrared Sensor) images. IS densities calculated concentric rings fractions, which used construct an inverse S-shaped density...

10.3390/rs13051019 article EN cc-by Remote Sensing 2021-03-08

Coastal ecosystems provide important ecosystem services (ESs) and have been subject to conservation restoration efforts in China for decades. However, responses coastal exploitation activity their spatial determinants not sufficiently evaluated, which limits the efficacy of efforts. To fill these gaps, this study assessed dominant change trends ESs southeastern since 1980s using an integrated biophysical model. Moreover, we explored ESs, heterogeneity, spillover effects via econometrics...

10.1016/j.ecolind.2022.108860 article EN cc-by-nc-nd Ecological Indicators 2022-04-15

The geoscience knowledge graph (GeoKG) has gained worldwide attention due to its ability in the formal representation of spatiotemporal features and relationships knowledge. Currently, a quantitative review state trends GeoKG is still scarce. Thus, bibliometric analysis was performed this study fill gap. Specifically, based on 294 research articles published from 2012 2023, we conducted analyses terms (1) publications citations; (2) identification major papers, sources, researchers,...

10.3390/ijgi13070255 article EN cc-by ISPRS International Journal of Geo-Information 2024-07-16

Rosiglitazone (RGTZ) has protective effect against various types of injury. This study was performed to evaluate the RGTZ on pancreatic and renal injury caused by cyclosporine (CsA). CsA (15 mg/kg) (3 were administered alone together rats for 28 days. The CsA‐induced evaluated intraperitoneal glucose tolerance test (IPGTT), plasma insulin concentrations β‐cell morphology. assessing function pathology; mediators inflammation fibrosis such as angiotensin II (AngII), osteopontin (OPN)...

10.1111/j.1600-6143.2005.00979.x article EN cc-by-nc-nd American Journal of Transplantation 2005-07-04

The viral vector-mediated overexpression of the defined transcription factors, Brn4/Pou3f4, Sox2, Klf4, and c-Myc (BSKM), could induce direct conversion somatic fibroblasts into induced neural stem cells (iNSCs). However, vectors may be randomly integrated host genome thereby increasing risk for undesired genotoxicity, mutagenesis, tumor formation. Here we describe generation integration-free iNSCs from mouse by non-viral episomal containing BSKM. vector-derived (e-iNSCs) closely resemble...

10.1074/jbc.m115.713578 article EN cc-by Journal of Biological Chemistry 2016-05-05

The interception of rainfall by vegetation canopies plays an important role in the hydrologic process ecosystems. Most estimates canopy present studies are mainly through field observations at plot region. However, it is difficult, yet important, to map regional a larger scale, especially southern rainy areas China. To obtain better understanding spatiotemporal variation with regard basin scale this region, we extended model combining observed data and moderate resolution imaging...

10.3390/rs11212468 article EN cc-by Remote Sensing 2019-10-23

Abstract Freshwater stored on land is an extremely vital resource for all the terrestrial life Earth. But our ability to record change of water storage weak despite its importance. In this study, we attempt establish a data‐driven model simulating dynamics by relating climate forcings with anomalies (TWSAs) from Gravity Recovery and Climate Experiment (GRACE) satellites. case study in Pearl River basin, China, relationships were learned using two ensemble learning algorithms, Random Forest...

10.1029/2019ea000959 article EN cc-by Earth and Space Science 2020-02-20
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