A5031320094- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Forest ecology and management
- Tree-ring climate responses
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Climate variability and models
- Ecology and Vegetation Dynamics Studies
- Ecology and Conservation Studies
- Metal and Thin Film Mechanics
- Atmospheric and Environmental Gas Dynamics
- Seedling growth and survival studies
- Plant responses to elevated CO2
- Advanced Surface Polishing Techniques
- Leaf Properties and Growth Measurement
- Diamond and Carbon-based Materials Research
- Adhesion, Friction, and Surface Interactions
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Plant and animal studies
- Remote Sensing and Land Use
- Horticultural and Viticultural Research
- Fire effects on ecosystems
- Coastal wetland ecosystem dynamics
Kangwon National University
2024-2025
Boston University
2017-2024
Seoul National University
2002-2021
Princeton University
2002
Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new opportunities to monitor, map, characterize temporal dynamics in land surface properties with unprecedented spatial detail quality. By combining from the Operational Land Imager MultiSpectral Instrument on-board Sentinel-2A -2B, remote sensing community now has access moderate (10–30 m) resolution repeat periods ~3 days mid-latitudes. At same time, large combined data volume introduce substantial challenges for...
Abstract Vegetation green leaf phenology directly impacts gross primary productivity (GPP) of terrestrial ecosystems. Satellite observations land surface (LSP) provide an important means to monitor the key timing vegetation development. However, differences between satellite‐derived LSP proxies and in situ measurements GPP make it difficult quantify impact climate‐induced changes on annual GPP. Here, we used 1,110 site‐years from eddy‐covariance towers association with time series satellite...
Abstract Vegetation phenology is a key control on water, energy, and carbon fluxes in terrestrial ecosystems. Because vegetation canopies are heterogeneous, spatially explicit information related to seasonality activity provides valuable for studies that use eddy covariance measurements study ecosystem function land-atmosphere interactions. Here we present land surface (LSP) dataset derived at 3 m spatial resolution from PlanetScope imagery across range of plant functional types climates...
Changes in vegetation activities driven by climate change serve as both a sensitive indicator and key driver of impacts, underscoring the need for accurate phenological predictions. Delays leaf senescence due to rising air temperatures increase risk damage from early frost, potentially affecting growth survival subsequent years. This study aimed quantify long-term changes timing palmate maple ginkgo trees, explore their associations with environmental factors, compare performance multiple...
Abstract. Vegetation phenology plays a significant role in driving seasonal patterns land-atmosphere interactions and ecosystem productivity, is key factor to consider when modeling or investigating ecological land-surface dynamics. To integrate research ultimately requires the application of carefully curated quality controlled phenological datasets that span multiple years include wide range different ecosystems plant functional types. By using digital cameras record images canopies every...
In the Korea Flux Monitoring Network, Haenam Farmland has longest record of carbon/water/energy flux measurements produced using eddy covariance (EC) technique. Unfortunately, there are long gaps (i.e., longer than 30 days), particularly in 2007 and 2014, which hinder attempts to analyze these decade-long time-series data. The open source standardized gap-filling methods impractical for such gaps. data-driven approach machine learning remote-sensing or reanalysis data...
ABSTRACT Background Climate‐change‐induced shifts in the timing of leaf emergence during spring have been widely documented and important ecological consequences. However, mechanistic knowledge regarding what controls is incomplete. Field‐based studies under natural conditions suggest that climate‐warming‐induced decreases cold temperature accumulation (chilling) expanded dormancy duration or reduced sensitivity plants to warming temperatures (thermal forcing) spring, thereby slowing rate at...
Spatiotemporal patterns of phenology may be affected by mosaics environmental and genetic variation. Environmental drivers have temporally lagged impacts, but mechanisms remain poorly known. We combine multiple genomic, remotely sensed, physically modeled datasets to determine the spatiotemporal canopy in quaking aspen, a widespread clonal dioecious tree species with diploid triploid cytotypes. show that over 391 km2 southwestern Colorado: greenup date, greendown growing season length vary...
Plant phenology modulates water and energy exchanges between the biosphere atmosphere therefore influences planetary boundary layer (PBL) dynamics. Here we conduct a modeling experiment using Community Earth System Model version 2, where plant is prescribed based on satellite climatology in control experiment. We then shift timing of vegetation green-up senescence North America by one month earlier later investigate how shifting could influence land-atmosphere interactions. Altering modifies...
Summary Land surface phenology (LSP), the characterization of plant with satellite data, is essential for understanding effects climate change on ecosystem functions. Considerable LSP variation observed within local landscapes, and role biotic factors in regulating such remains underexplored. In this study, we selected four National Ecological Observatory Network terrestrial sites minor topographic relief to investigate how regulate intra‐site variability. We utilized functional type (PFT)...
Abstract Evapotranspiration ( ET ) is a significant ecosystem flux, governing the partitioning of energy at land surface. Understanding seasonal pattern and magnitude critical for anticipating range impacts, including drought, heat‐wave events, plant mortality. In this study, we identified relative controls variability in , how these vary among ecosystems. We used overlapping AmeriFlux PhenoCam time series daily timestep from 20 sites to explore linkages (# site‐years >100), our study...
The failure assessment for the defects in multiple corroded region has been considered with real-size pipeline burst tests and associated Finite Element Method. gas made of X65 steel various types artificially machined pits used a number series on pipeline. pressures designed defect pipelines have measured by using in-situ testing classified respect to each sizes - length, width depth distance between defects. result from experiments modeled compared As FEM simulation, pressure is lower than...
AbstractAccurate estimates of stand transpiration (E) require the consideration three types variation in sap flux density (JS): radial, azimuthal, and tree-to-tree variation. In this study, JS 50-year-old Korean pine (Pinus koraiensis) trees its effect on E was evaluated using Granier-type heat dissipation sensors. The value decreased exponentially with radial depth from cambium to pith, coefficient (CV) for 124.3 %. Regarding azimuthal variation, differed significantly among aspects average...