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A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression

Journal of experimental botany, 2021-09, Vol.72 (18), p.6175-6189

2021

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Seasonal trends in photosynthesis and leaf traits in scarlet oak

Tree physiology, 2021-08, Vol.41 (8), p.1413-1424

2021

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PiCAM: A Raspberry Pi‐based open‐source, low‐power camera system for monitoring plant phenology in Arctic environments

Methods in ecology and evolution, 2023-12, Vol.14 (12), p.2974-2984

2023

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An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites

Remote sensing of environment, 2023-03, Vol.286, p.113429, Article 113429

2023

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Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system

Environmental research letters, 2021-08, Vol.16 (8), p.85005

2021

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A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2638

2020

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Nitrogen fixing shrubs advance the pace of tall-shrub expansion in low-Arctic tundra

Communications earth & environment, 2023-12, Vol.4 (1), p.421-12, Article 421

2023

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Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index

ISPRS journal of photogrammetry and remote sensing, 2017-06, Vol.128, p.47-60

2017

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Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images

Remote sensing of environment, 2021-10, Vol.264, p.112604, Article 112604

2021

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Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest

Remote sensing of environment, 2020-09, Vol.246 (C), p.111865, Article 111865

2020

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From Pixel to Ecosystem: Understanding Shrubification and Vegetation Dynamics in Arctic Tundra Across Scales

Yang, Dedi

2023

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Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model

Remote sensing of environment, 2024-04, Vol.304, p.114027, Article 114027

2024

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Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska

Remote sensing of environment, 2023-03, Vol.286, p.113430, Article 113430

2023

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Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska

Remote sensing of environment, 2022-12, Vol.286

2022

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Non-invasive estimation of root zone soil moisture from coarse root reflections in ground-penetrating radar images

Plant and soil, 2019-03, Vol.436 (1/2), p.623-639

2019

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Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data

Remote sensing of environment, 2024-04, Vol.304 (C), p.114026, Article 114026

2024

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Analysis of ride comfort and road friendliness of heavy vehicle inertial suspension based on the ground-hook control strategy

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering, 2024-05, Vol.238 (6), p.1380-1391

2024

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An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15

2022

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Exploring the role of biotic factors in regulating the spatial variability in land surface phenology across four temperate forest sites

The New phytologist, 2024-06, Vol.242 (5), p.1965-1980

2024

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An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.60

2021

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Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest

Remote sensing of environment, 2020-09, Vol.246 (C)

2020

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Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

The Journal of ecology, 2022-12, Vol.110 (12), p.2812-2835

2022

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Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-03, Vol.10 (3), p.1105-1116

2017

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A new index for mapping the 'blue steel tile' roof dominated industrial zone from Landsat imagery

Remote sensing letters, 2018-06, Vol.9 (6), p.578-586

2018

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An improved automated land cover updating approach by integrating with downscaled NDVI time series data

Remote sensing letters, 2015-01, Vol.6 (1), p.29-38

2015

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A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression

Seasonal trends in photosynthesis and leaf traits in scarlet oak

PiCAM: A Raspberry Pi‐based open‐source, low‐power camera system for monitoring plant phenology in Arctic environments

An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites

Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system

A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra

Nitrogen fixing shrubs advance the pace of tall-shrub expansion in low-Arctic tundra

Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index

Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images

Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest

From Pixel to Ecosystem: Understanding Shrubification and Vegetation Dynamics in Arctic Tundra Across Scales

Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model

Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska

Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska

Non-invasive estimation of root zone soil moisture from coarse root reflections in ground-penetrating radar images

Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data

Analysis of ride comfort and road friendliness of heavy vehicle inertial suspension based on the ground-hook control strategy

An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar

Exploring the role of biotic factors in regulating the spatial variability in land surface phenology across four temperate forest sites

An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar

Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest

Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability

A new index for mapping the 'blue steel tile' roof dominated industrial zone from Landsat imagery

An improved automated land cover updating approach by integrating with downscaled NDVI time series data

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