Tianqi Zhang

ORCID: 0000-0003-0967-0599
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About
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Research Areas
  • Remote Sensing and LiDAR Applications
  • Climate change and permafrost
  • Remote Sensing in Agriculture
  • Forest ecology and management
  • Cryospheric studies and observations
  • Image Processing and 3D Reconstruction
  • Geology and Paleoclimatology Research
  • Indigenous Studies and Ecology
  • Soil and Unsaturated Flow
  • Geological Studies and Exploration
  • Forest Management and Policy
  • Fire effects on ecosystems
  • Soil Geostatistics and Mapping
  • Land Use and Ecosystem Services
  • Tree-ring climate responses
  • Rangeland and Wildlife Management

Oak Ridge National Laboratory
2023-2024

The Ohio State University
2021-2024

Vegetation fractional cover (fCover) is an important canopy structural variable for understanding the climate-vegetation feedback. Trees and non-tree vegetation may respond differently to climate changes, yet traditional fCover estimation methods focus on quantifying general vegetation. Satellite-based spectral unmixing more advantageous in this regard as it allows trees, vegetation-specific mapping. However, existing multispectral based studies rarely consider local endmember variability or...

10.1016/j.isprsjprs.2024.02.018 article EN cc-by-nc-nd ISPRS Journal of Photogrammetry and Remote Sensing 2024-03-01

Abstract Ground heat flux ( G 0 ) is a key component of the land‐surface energy balance high‐latitude regions. Despite its crucial role in controlling permafrost degradation due to global warming, sparsely measured and not well represented outputs scale model simulation. In this study, an analytical transfer tested reconstruct across seasons using soil temperature series from field measurements, Global Climate Model, climate reanalysis outputs. The probability density functions ground...

10.1029/2023ea003435 article EN cc-by-nc-nd Earth and Space Science 2024-03-01

ArcticDEM provides the public with an unprecedented opportunity to access very high-spatial resolution digital elevation models (DEMs) covering pan-Arctic surfaces. As it is generated from stereo-pairs of optical satellite imagery, represents a mixture surface model (DSM) over non-ground areas and terrain (DTM) at bare grounds. Reconstructing DTM thus needed in studies requiring ground elevation, such as modeling hydrological processes, tracking change dynamics, estimating vegetation canopy...

10.3390/rs15082061 article EN cc-by Remote Sensing 2023-04-13

Abstract Boreal forest heights are associated with global carbon stocks and energy budgets. The launch of the Advanced Topographic Laser Altimeter System (ATLAS) onboard NASA's Ice, Cloud Land Elevation Satellite (ICESat‐2) enables canopy vertical structure measurement at a scale. However, photon‐counting laser system, ICESat‐2 contains high uncertainties in estimated heights, requiring appropriate quality control before being applied to height modelling. We adopted multivariate approach...

10.1111/2041-210x.14112 article EN cc-by-nc Methods in Ecology and Evolution 2023-04-26

Abstract Previous studies discovered a spatially heterogeneous expansion of Siberian larch into the tundra Polar Urals (Russia). This study reveals that spatial pattern encroachment tree stands is related to environmental factors including topography and snow cover. Structural allometric characteristics trees, along with terrain elevation depth were collected transect 860 m long 80 wide. Terrain curvature indices, as representative properties, derived across range scales in order...

10.1088/1748-9326/ac3694 article EN cc-by Environmental Research Letters 2021-11-04

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Mapping 30m Boreal Forest Heights Using Landsat Sentinel Data Calibrated ICESat-2AuthorsTianqiZhangiDDeshengLiuSee all authors Tianqi ZhangiDCorresponding Author• Submitting AuthorThe Ohio State UniversityiDhttps://orcid.org/0000-0003-0967-0599view email addressThe was not providedcopy addressDesheng LiuThe Universityview address

10.1002/essoar.10509131.1 preprint EN 2021-12-09
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