A5035827115- Climate change and permafrost
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Geology and Paleoclimatology Research
- Polar Research and Ecology
- Rangeland and Wildlife Management
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
- Soil Moisture and Remote Sensing
- Geological Studies and Exploration
- Remote Sensing and Land Use
- Plant Water Relations and Carbon Dynamics
- Arctic and Antarctic ice dynamics
- Methane Hydrates and Related Phenomena
- Indigenous Studies and Ecology
- Geophysical Methods and Applications
- Peatlands and Wetlands Ecology
- Botany, Ecology, and Taxonomy Studies
- Animal and Plant Science Education
- Plant responses to elevated CO2
- Leaf Properties and Growth Measurement
Oak Ridge National Laboratory
2024
Brookhaven National Laboratory
2019-2024
Stony Brook University
2018-2023
Beijing Normal University
2015-2018
Lanzhou University
2016
Abstract Partial least squares regression (PLSR) modelling is a statistical technique for correlating datasets, and involves the fitting of linear between two matrices. One application PLSR enables leaf traits to be estimated from hyperspectral optical reflectance data, facilitating rapid, high-throughput, non-destructive plant phenotyping. This interest importance in wide range contexts including crop breeding ecosystem monitoring. The lack consensus literature on how perform means that...
Abstract Observing the environment in vast regions of Earth through remote sensing platforms provides tools to measure ecological dynamics. The Arctic tundra biome, one largest inaccessible terrestrial biomes on Earth, requires across multiple spatial and temporal scales, from towers satellites, particularly those equipped for imaging spectroscopy (IS). We describe a rationale using IS derived advances our understanding vegetation communities their interaction with environment. To best...
Abstract Plant biomass is a fundamental ecosystem attribute that sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant Arctic logistically challenging and resource intensive. Lack of accessible field data hinders efforts understand amount, composition, distribution, these northern ecosystems. Here, we present The aboveground synthesis dataset , which includes measurements lichen, bryophyte, herb, shrub, and/or tree (g m −2 ) on 2,327 sample plots from 636...
Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional global climate feedbacks. In Arctic, is warming twice as fast compared to average (known ‘Arctic amplification’), likely having stronger impacts on arctic tundra vegetation. order quantify these changes assess their ecosystem structure function, methods are needed accurately characterize types. However, commonly used ground-based...
Leaf-level gas exchange data support the mechanistic understanding of plant fluxes carbon and water. These inform our ecosystem function, are an important constraint on parameterization terrestrial biosphere models, necessary to understand response plants global environmental change, integral efforts improve crop production. Collection these using analyzers can be both technically challenging time consuming, individual studies generally focus a small range species, restricted periods, or...
Abstract Tundra ecosystems in the Arctic store up to 40% of global below-ground organic carbon but are exposed fastest climate warming on Earth. However, accurately monitoring landscape changes is challenging due complex interactions among permafrost, micro-topography, climate, vegetation, and disturbance. This complexity results high spatiotemporal variability permafrost distribution active layer depth (ALD). Moreover, these key tundra processes interact at different scales, an...
Shrubs, characterized by their multiple dwarf stems, are a dominant plant functional type in arid and semi-arid regions, which cover 40% of Earth's land surface. These ecosystems fragile highly susceptible to climate change human disturbances. The abundance shrubs serves as an important indicator ecosystem health, projected increase due CO₂ fertilization warming climates could significantly alter functioning, exacerbate desertification, impact essential services. Monitoring shrub...
Understanding seasonal variation in photosynthesis is important for understanding and modeling plant productivity. Here, we used shotgun sampling to examine physiological, structural spectral leaf traits of upper canopy, sun-exposed leaves Quercus coccinea Münchh (scarlet oak) across the growing season order understand trends, explore mechanisms underpinning physiological change investigate impact extrapolating measurements from a single date whole season. We tested hypothesis that...
Land cover change monitoring is important for climate and environmental research. An automated approach updating land maps derived from Landsat-like data urgently needed to process large amounts of data. Change detection an part the approach; however, pseudo-changes commonly occur because satellite images acquired in different seasons can capture phenological differences. based on normalized difference vegetation index (NDVI) time series could avoid this problem; nevertheless it suffers much...
Abstract The Arctic is experiencing some of the most rapid climate change on Earth, with strong impacts tundra ecosystems that are characterized by high land-surface and vegetation heterogeneity. Previous studies have explored this complexity using satellite remote sensing, however these typically coarse spatial resolution data generally missed sub-pixel heterogeneity, leaving critical gaps in our understanding dynamics from community to landscape scales. To address gaps, we collected very...
Abstract The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes vegetation composition, structure and function that have important feedbacks to the global climate system. heterogeneous nature of arctic landscapes creates challenges for monitoring improving understanding these ecosystems, as current efforts typically rely ground, airborne or satellite‐based observations are limited space, time pixel resolution. use remote sensing instruments...
Abstract Tall deciduous shrubs are critically important to carbon and nutrient cycling in high-latitude ecosystems. As Arctic regions warm, expand heterogeneously across their ranges, including within unburned terrain experiencing isometric gradients of warming. To constrain the effects widespread shrub expansion terrestrial Earth System Models, improved knowledge local-to-regional scale patterns, rates, controls on decadal is required. Using fine-scale remote sensing, we modeled drivers...
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)...
Object-based land cover mapping has drawn increasing attention for its ability to overcome the salt-and-pepper problem associated with pixel-based methods by considering spatial information from neighboring regions. However, performance of object-based classification is strongly affected over- or undersegmented objects. The optimal scale difficult determine; moreover, it usually varies along application purpose targets. Most previous efforts on determination based only image are not flexible...
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