// Data shared across pages — updated with real lab info.
const LAB = {
  name: "Plant Ecology & Remote Sensing Lab",
  shortName: "PERS Lab",
  tagline: "Reading the pulse of Earth's ecosystems — from the canopy down, and from orbit in.",
  intro:
    "We are global change ecologists. We use various tools — remote sensing, field observations, and modeling — to understand the impact of climate change on our ecosystems. We travel to ecosystems from tropics to the arctic. We use novel remote sensing techniques to see ecosystems in ways we couldn't before, and advanced computer science techniques to analyze geospatial products.",
  affiliation: "Department of Environmental Sciences",
  university: "University of Virginia",
  email: "xiyang [a] virginia_dot_edu",
  address: "Clark Hall · 291 McCormick Road · Charlottesville, VA 22904",
};

const NAV = [
  { id: "home", label: "Home" },
  { id: "research", label: "Research" },
  { id: "people", label: "People" },
  { id: "publications", label: "Publications" },
  { id: "news", label: "News" },
  { id: "gallery", label: "Gallery" },
  { id: "data", label: "Data & Code" },
  { id: "join", label: "Join Us" },
];

const RESEARCH_THEMES = [
  {
    id: "T-01",
    title: "Ghost forests — sea level rise & saltwater intrusion",
    image: "uploads/treemortality-c01e5600.webp",
    blurb:
      "Understanding how rising seas and saltwater intrusion are transforming coastal forests into ghost forests, using remote sensing to track the pace and pattern of forest retreat.",
    site: "Coastal US · Eastern seaboard",
    palette: "lichen",
  },
  {
    id: "T-02",
    title: "Why trees look the way they are — terrestrial laser scanning",
    blurb:
      "Using terrestrial laser scanning to build detailed 3D reconstructions of tree architecture, revealing how leaf arrangement like leaf angle and clumping impact light absorption and remote sensing signals, and how branching patterns, crown shape, and structural allocation emerge from competition, environment, and evolutionary history.",
    site: "NEON sites · TLS · NEON AOP",
    palette: "default",
    image: "uploads/TreeShape.png",
    objectFit: "contain",
    aspect: "2/1",
  },
  {
    id: "T-03",
    title: "Tree mortality across the United States",
    image: "uploads/treemortality.webp",
    blurb:
      "Mapping and understanding individual-level tree mortality across the continent. We use very high-resolution remote sensing, LiDAR, and deep learning to map tree mortality at individual scale and understand the drivers of spatiotemporal patterns in tree mortality. With this unprecedented dataset, we will be able to test if we can predict the location and timing of tree mortality hotspots. ",
    site: "CONUS · NAIP · PLANETLAB",
    palette: "clay",
  },
  {
    id: "T-04",
    title: "Drone ecology & proximal remote sensing",
    image: "uploads/drone.webp",
    blurb:
      "Bridging the scale gap between leaves and satellites with UAV-mounted RGB and hyperspectral payloads, plus tower-based continuous monitoring instruments like FluoSpec.",
    site: "Field campaigns, year-round",
    palette: "default",
  },
  {
    id: "T-05",
    title: "Solar-induced chlorophyll fluorescence (SIF)",
    image: "uploads/sif.webp",
    blurb:
      "Pioneering the use of solar-induced chlorophyll fluorescence as a novel proxy for photosynthesis, from ground-based instruments to satellite applications, to track ecosystem carbon uptake.",
    site: "Tower sites · TROPOMI · OCO-2",
    palette: "lichen",
  },
  {
    id: "T-06",
    title: "Hyperspectral remote sensing and radiative transfer models",
    image: "uploads/neon_composites.webp",
    blurb:
      "Coupling ecosystem models with remote sensing observations (LiDAR, hyperspectral, and SIF) to constrain prediction of ecosystem function",
    site: "SCOPE · CLM · RADIATIVE TRANSFER · HYPERSPECTRAL",
    palette: "clay",
  },
];

const PEOPLE = [
  {
    role: "Principal Investigator",
    members: [
      {
        id: "pi-01",
        name: "Xi Yang",
        title: "Associate Professor · Lab Director",
        bio:
          "Global change ecologist studying vegetation-climate interactions through remote sensing, plant physiology, and modeling. Interested in forest structure and function, vegetation feedbacks to climate, and tree mortality. Develops novel approaches to quantify photosynthesis, canopy structure, and leaf traits remotely.\n\nPhD, Brown University, 2014.",
        image: "uploads/Xi.webp",
        focus: ["SIF", "Remote sensing", "Plant physiology", "Canopy structure"],
        email: "xiyang [a] virginia_dot_edu",
        linkedin: "https://www.linkedin.com/in/xi-yang-8154349/",
        bluesky: "https://bsky.app/profile/xiyang.bsky.social",
        scholar: "https://scholar.google.com/citations?user=90Z4IKYAAAAJ&hl=en",
        joined: "2016–present",
      },
    ],
  },
  {
    role: "Postdoctoral Researchers",
    members: [
      {
        id: "p-01",
        name: "Yiting Fan",
        title: "Postdoctoral Researcher",
        image: "uploads/YitingFan_headshot.jpg",
        bio:
          "Yiting's research focuses on forest canopy structure across multiple scales and how it influences ecosystem function. She uses advanced remote sensing, including LiDAR and airborne imaging spectroscopy, to characterize the canopy structure like leaf angle, foliage clumping, and canopy density, and examine how these traits relate to forest productivity. Understanding these structural controls on forest function can inform forest monitoring and management under environmental change.",
        focus: ["TLS", "Tree structure", "NEON"],
        joined: "2024–present",
      },
    ],
  },
  {
    role: "Graduate Students",
    members: [
      {
        id: "g-01",
        name: "Wayne Dawson",
        title: "Graduate Student · Virginia Space Grant Fellow",
        image: "uploads/WaynePortrait.jpg",
        bio:
          "Wayne's work is centered on understanding how emerging remote sensing techniques, such as solar-induced fluorescence or microwave signals from GNSS receivers, can be used to monitor plant physiology in remote boreal forests. These forests are hard to access and are rapidly transforming under anthropogenic climate change, so there is high demand to monitor these areas through plane and satellite remote sensing. Wayne works on the ground collecting fine-scale remote sensing data to help us better understand what exactly that coarse satellite data is telling us about boreal forests.",
        focus: ["Remote sensing", "Ecology"],
        email: "wfd2bv@virginia.edu",
        joined: "Current",
      },
      {
        id: "g-02",
        name: "Elsie Liu",
        title: "Graduate Student",
        image: "uploads/elsie-acdccaef.jpg",
        bio:
          "Elsie's research focuses on forest resilience, early warning signals of ecosystem transitions, and spatial variation in aboveground biomass along coastal elevation and salinity gradients. Elsie investigates how coastal forests respond to environmental change across the North American Coastal Plain using remote sensing and time series analysis.",
        focus: ["Coastal Ecosystems", "Remote sensing"],
        joined: "Current",
      },
      {
        id: "g-03",
        name: "Jessee Steele",
        title: "Graduate Student · NSF GRFP Fellow",
        image: "uploads/Jessee.webp",
        bio:
          "Jessee is broadly interested in how climate change affects ecosystem disturbance and recovery cycles. He is curious about how our understanding of ecological processes is constrained by the scale of our observations (e.g., too local to generalize; too coarse to specify). Combining these interests, his current research examines what happens to forests as they die, using deep learning methods to identify individual dead trees across the Western United States and designing novel approaches to analyze such unprecedently high-resolution data. B.Sc. from Duke University.",
        focus: ["Forestry", "Remote sensing"],
        joined: "Current",
      },
      {
        id: "g-04",
        name: "Zejun Wu",
        title: "Graduate Student",
        image: "uploads/ZejunWu_headshot.jpg",
        bio:
          "Zejun is interested in plant ecology with help of remote sensing and field observations. Recently, her work has focused more on changes in forest canopy structure (e.g., canopy depth, leaf angle distribution) by airborne LiDAR and terrestrial laser scanning (TLS).",
        focus: ["TLS", "Tropical forests"],
        joined: "Current",
      },
      {
        id: "g-05",
        name: "Henry Yeung",
        title: "Graduate Student · Jefferson Fellow",
        image: "uploads/IMG_5421.jpg",
        bio:
          "Henry uses very-high-resolution satellite imagery and deep learning to study coastal tree mortality and human-natural systems (e.g. wildfire damage). He is also generally interested in anything related to terrestrial ecology, geography, and remote sensing.",
        focus: ["Remote sensing", "Deep learning", "Coastal ecology", "Tree mortality"],
        joined: "2022–present",
      },
    ],
  },
  {
    role: "Lab Alumni — Postdocs",
    members: [
      {
        id: "a-p01",
        name: "Jongmin Kim",
        title: "Now: Assistant Professor, Kyung Hee University, South Korea",
        bio: "Former postdoc. TLS, SIF measurements, and drone-based ecological surveys.",
        joined: "Postdoc",
      },
      {
        id: "a-p02",
        name: "Koong Yi",
        title: "Now: Ameriflux Postdoc Fellow, UC Berkeley",
        bio: "Former postdoc. Ground-based solar-induced fluorescence, thermal remote sensing, and water-use efficiency.",
        joined: "Postdoc",
      },
      {
        id: "a-p03",
        name: "Atticus Stovall",
        title: "Now: Research Assistant Professor, University of Maryland",
        bio: "Former postdoc (2018). Creator of TLSLeAF. Tree mortality analysis using remote sensing. Work featured in Science magazine.",
        joined: "Postdoc · 2018",
      },
      {
        id: "a-p04",
        name: "Elliott White",
        title: "Now: Assistant Professor, Stanford University",
        bio: "Former postdoc (2019–2021). Coastal remote sensing and the impact of sea-level rise and saltwater intrusion on forested wetlands.",
        joined: "Postdoc · 2019–2021",
      },
    ],
  },
  {
    role: "Lab Alumni — Graduate Students",
    members: [
      {
        id: "a-g01",
        name: "Andrew Jablonski",
        title: "PhD 2018–2025 · Now: Postdoc at Boise State University",
        bio: "NASA FINESST Fellow. Used remote sensing to understand tree mortality. Graduated May 2025.",
        joined: "–2025",
      },
      {
        id: "a-g02",
        name: "Rong Li",
        title: "PhD 2018–2024 · Now: Postdoc at Cornell University",
        bio: "NASA FINESST Fellow. SIF simulation, leaf-to-canopy radiative transfer in CLM5. Graduated May 2025.",
        joined: "2018–2024",
      },
      {
        id: "a-g03",
        name: "Hannah Mast",
        title: "PhD 2018–2024 · Christine Mirzayan Fellow",
        bio: "Virginia Sea Grant Fellow. Coastal wetland research in Virginia, environmental justice and changing coastal landscapes. Graduated May 2025.",
        joined: "2018–2024",
      },
      {
        id: "a-g04",
        name: "Kelsey Huelsman",
        title: "PhD 2019–2024 · NASA GESTAR Postdoc Fellow",
        bio: "Contributed to the lab's remote sensing and field research across multiple ecosystems.",
        joined: "2019–2024",
      },
    ],
  },
  {
    role: "Lab Alumni — Undergraduates",
    members: [
      {
        id: "a-u01",
        name: "Jake Smith",
        title: "UVA B.Sc. 2020 · Distinguished Major Program",
        bio: "",
        joined: "2020",
      },
      {
        id: "a-u02",
        name: "Ben Masters",
        title: "UVA B.Sc. 2020 · Distinguished Major Program · Now at NEON",
        bio: "Co-authored TLSLeAF paper in New Phytologist.",
        joined: "2020",
      },
      {
        id: "a-u03",
        name: "Carmen Petras",
        title: "UVA B.Sc. 2022 · Now at Carlyx",
        bio: "Field campaigns in Alaska.",
        joined: "2022",
      },
      {
        id: "a-u04",
        name: "Audrey Root",
        title: "UVA B.Sc. 2022",
        bio: "",
        joined: "2022",
      },
      {
        id: "a-u05",
        name: "Bailey Costello",
        title: "UVA B.Sc. 2019 · Distinguished Major Program",
        bio: "",
        joined: "2019",
      },
      {
        id: "a-u06",
        name: "Levi Helm",
        title: "UVA B.Sc. 2018 · DMP · Highest Honors · Now AAAS fellow",
        bio: "",
        joined: "2018",
      },
      {
        id: "a-u07",
        name: "Madeline Reinsel",
        title: "UVA B.Sc. 2018 · Distinguished Major Program",
        bio: "",
        joined: "2018",
      },
      {
        id: "a-u08",
        name: "Wenzheng Wang",
        title: "UVA B.Sc. 2017",
        bio: "",
        joined: "2017",
      },
    ],
  },
];

// NEWS is now loaded from news.json via fetch in src/app.jsx
let NEWS = [];

const PUBLICATIONS = [
  {
    year: 2026,
    items: [
      {
        authors: "Yang, X., Guan, K., Chen, M., Johnson, J.E., Li, R., Kimm, H., Wu, G., Kim, J., Dashti, H., Wang, S., Lerdau, M., Frankenberg, C., Berry, J.A.",
        title: "Sensing plant photosynthesis using solar-induced chlorophyll fluorescence: From chloroplasts to the globe.",
        venue: "Annual Review of Plant Biology",
        doi: "10.1146/annurev-arplant-090324-115537",
        tags: ["SIF", "Photosynthesis", "Review"],
      },
      {
        authors: "Kim, J., Root, A., Benson, M.C., Beverly, D., Johnson, J.E., Lerdau, M., Phillips, R.P., Novick, K.A., Yang, X.",
        title: "Leaf angle adjustment improves apparent covariation between fluorescence and photochemical quantum yields across leaves.",
        venue: "Remote Sensing of Environment 341: 115427",
        doi: "10.1016/j.rse.2026.115427",
        tags: ["SIF", "Leaf angle", "Fluorescence"],
      },
      {
        authors: "Dawson III, W., Jablonski, A., Kim, J., Watts, J., Epstein, H., Yang, X.",
        title: "Tower-Based Visible and Near-Infrared Remote Sensing Observations at Caribou-Poker Creeks Research Watershed, Alaska (April 2023–July 2024).",
        venue: "Data publication",
        doi: "",
        tags: ["Arctic", "Proximal RS", "Data"],
      },
      {
        authors: "Wang, X., Scott, R.L., Yan, D., Dannenberg, M.P., Yang, X., Magney, T.S., Zhang, Y., Smith, W.K.",
        title: "Proximal measurements of solar-induced fluorescence and surface reflectance capture seasonal productivity and drought stress dynamics in a semiarid grassland ecosystem.",
        venue: "Journal of Remote Sensing 6: 1034",
        doi: "10.34133/remotesensing.1034",
        tags: ["SIF", "Drought", "Grassland"],
      },
    ],
  },
  {
    year: 2025,
    items: [
      {
        authors: "Pierrat, Z.A., Magney, T.S., Richardson, W.P., Runkle, B.R.K., Diehl, J.L., Yang, X., Woodgate, W., et al.",
        title: "Proximal remote sensing: an essential tool for bridging the gap between high-resolution ecosystem monitoring and global ecology.",
        venue: "New Phytologist",
        doi: "10.1111/nph.20405",
        tags: ["Proximal RS", "SIF", "Review"],
      },
      {
        authors: "Zhan, W., Yang, X., Ryu, Y., Dechant, B., Huang, Y., Goulas, Y., Kang, M., Gentine, P.",
        title: "Canopy structure exhibits linear and nonlinear links to biome-level maximum light use efficiency.",
        venue: "Remote Sensing of Environment",
        doi: "10.1016/j.rse.2025.114xxx",
        tags: ["Canopy structure", "LUE"],
      },
    ],
  },
  {
    year: 2024,
    items: [
      {
        authors: "O'Donnell, K.L., Bernhardt, E.S., Yang, X., Emanuel, R.E., Ardón, M., Lerdau, M.T., Manda, A.K., et al.",
        title: "Saltwater intrusion and sea level rise threatens US rural coastal landscapes and communities.",
        venue: "Anthropocene, 100427",
        doi: "10.1016/j.ancene.2024.100427",
        tags: ["Coastal", "Sea level rise"],
      },
      {
        authors: "Yi, K., Novick, K.A., Zhang, Q., Wang, L., Hwang, T., Yang, X., Mallick, K., Béland, M., Senay, G.B., Baldocchi, D.D.",
        title: "Responses of marginal and intrinsic water-use efficiency to changing aridity using FLUXNET observations.",
        venue: "J. Geophysical Research: Biogeosciences 129(6): e2023JG007875",
        doi: "10.1029/2023JG007875",
        tags: ["WUE", "FLUXNET"],
      },
      {
        authors: "Wu, G., Guan, K., Ainsworth, E.A., Martin, D.G., Kimm, H., Yang, X.",
        title: "Solar-induced chlorophyll fluorescence captures the effects of elevated ozone on canopy structure and acceleration of senescence in soybean.",
        venue: "Journal of Experimental Botany 75(1): 350–363",
        doi: "10.1093/jxb/erad365",
        tags: ["SIF", "Ozone"],
      },
      {
        authors: "Mast, H., Yang, X., et al.",
        title: "Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset.",
        venue: "Remote Sensing of Environment",
        doi: "10.1016/j.rse.2024.114xxx",
        tags: ["Leaf traits", "Spectroscopy"],
      },
    ],
  },
  {
    year: 2023,
    items: [
      {
        authors: "Li, R., Yang, X., et al.",
        title: "Impact of atmospheric dryness on solar-induced chlorophyll fluorescence: tower-based observations at a temperate forest.",
        venue: "Agricultural and Forest Meteorology",
        doi: "10.1016/j.agrformet.2023.109xxx",
        tags: ["SIF", "VPD", "Forest"],
      },
      {
        authors: "Jablonski, A., Yang, X., et al.",
        title: "Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations in a tall-grass prairie.",
        venue: "Global Change Biology",
        doi: "10.1111/gcb.16xxx",
        tags: ["SIF", "Drought", "Prairie"],
      },
    ],
  },
  {
    year: 2022,
    items: [
      {
        authors: "Li, R., Lombardozzi, D., Shi, M., Frankenberg, C., Parazoo, N.C., Köhler, P., Yi, K., Guan, K., Yang, X.",
        title: "Representation of leaf-to-canopy radiative transfer processes improves simulation of far-red SIF in CLM version 5.",
        venue: "J. Advances in Modeling Earth Systems 14(3): e2021MS002747",
        doi: "10.1029/2021MS002747",
        tags: ["SIF", "CLM", "Modeling"],
      },
      {
        authors: "Wu, G., Jiang, C., Kimm, H., Wang, S., Bernacchi, C., Moore, C.E., Suyker, A., Yang, X., Magney, T., Frankenberg, C.",
        title: "Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content.",
        venue: "Remote Sensing of Environment 279: 113104",
        doi: "10.1016/j.rse.2022.113104",
        tags: ["SIF", "GPP", "Crops"],
      },
      {
        authors: "Zeng, Y., Chen, M., Hao, D., Damm, A., Badgley, G., Rascher, U., Johnson, J.E., et al., Yang, X.",
        title: "Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses.",
        venue: "Remote Sensing of Environment 270: 112856",
        doi: "10.1016/j.rse.2021.112856",
        tags: ["SIF", "NIRv", "Stress"],
      },
    ],
  },
  {
    year: 2021,
    items: [
      {
        authors: "Stovall, A.E.L., Masters, B., Fatoyinbo, L., Yang, X.",
        title: "TLSLeAF: automatic leaf angle estimates from single-scan terrestrial laser scanning.",
        venue: "New Phytologist",
        doi: "10.1111/nph.17548",
        tags: ["TLS", "Leaf angle"],
      },
      {
        authors: "Ury, E.A., Yang, X., Wright, J.P., Bernhardt, E.S.",
        title: "Rapid deforestation of a coastal landscape driven by sea-level rise and extreme events.",
        venue: "Ecological Applications, e02339",
        doi: "10.1002/eap.2339",
        tags: ["Coastal", "Ghost forest"],
      },
      {
        authors: "White, E.E., Ury, E.A., Bernhardt, E.S., Yang, X.",
        title: "Climate change driving widespread loss of coastal forested wetlands throughout the North American coastal plain.",
        venue: "Ecosystems, 1–16",
        doi: "10.1007/s10021-021-00686-w",
        tags: ["Coastal", "Wetlands"],
      },
      {
        authors: "Yang, X., Xu, X., Stovall, A., Chen, M., Lee, J.-E.",
        title: "Recovery: fast and slow — vegetation response during the 2012–2016 California drought.",
        venue: "J. Geophysical Research: Biogeosciences, e2020JG005976",
        doi: "10.1029/2020JG005976",
        tags: ["Drought", "California"],
      },
      {
        authors: "Kimm, H., Guan, K., Burroughs, C.H., Peng, B., Ainsworth, E.A., Bernacchi, C.J., Moore, C.E., et al., Yang, X.",
        title: "Quantifying high-temperature stress on soybean canopy photosynthesis: the unique role of sun-induced chlorophyll fluorescence.",
        venue: "Global Change Biology",
        doi: "10.1111/gcb.15603",
        tags: ["SIF", "Heat stress", "Crops"],
      },
    ],
  },
  {
    year: 2020,
    items: [
      {
        authors: "Yi, K., Dragoni, D., Phillips, R.P., Roman, D.T., Novick, K.A., Yang, X.",
        title: "A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence.",
        venue: "Remote Sensing of Environment 252: 112134",
        doi: "10.1016/j.rse.2020.112134",
        tags: ["SIF", "Transpiration"],
      },
      {
        authors: "Atkins, J.W., Stovall, A.E.L., Yang, X.",
        title: "Mapping temperate forest phenology using tower, UAV, and ground-based sensors.",
        venue: "Drones 4(3): 56",
        doi: "10.3390/drones4030056",
        tags: ["Phenology", "UAV"],
      },
    ],
  },
  {
    year: 2015,
    items: [
      {
        authors: "Yang, X., Tang, J., Mustard, J.F., Lee, J.-E., Rossini, M., Joiner, J., Munger, J.W., et al.",
        title: "Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest.",
        venue: "Geophysical Research Letters",
        doi: "10.1002/2015GL063201",
        tags: ["SIF", "Photosynthesis", "Forest"],
      },
    ],
  },
];

const RESOURCES = [
  {
    kind: "Algorithm",
    title: "TLSLeAF: an automated algorithm to retrieve leaf angle from TLS data",
    citation: "Stovall et al., 2021",
    url: "https://github.com/aestovall/TLSLeAF",
    urlLabel: "GitHub — aestovall/TLSLeAF",
  },
  {
    kind: "Dataset",
    title: "Canopy temperature data",
    citation: "Yi et al., 2020",
    url: "https://doi.org/10.5281/zenodo.3896812",
    urlLabel: "Zenodo · doi:10.5281/zenodo.3896812",
  },
  {
    kind: "Code + Data",
    title: "Data and code accompanying the California drought study",
    citation: "Yang et al., 2021",
    url: "https://github.com/geoxiyang/CaliforniaDrought_JGR_2021",
    urlLabel: "GitHub — geoxiyang/CaliforniaDrought_JGR_2021",
  },
  {
    kind: "Dataset",
    title: "Data on SIF and short-term drought",
    citation: "Helm et al., 2020",
    url: "https://doi.org/10.6084/m9.figshare.9968372.v1",
    urlLabel: "figshare · doi:10.6084/m9.figshare.9968372.v1",
  },
  {
    kind: "Code + Data",
    title: "Data and code from tree mortality analysis",
    citation: "Stovall et al., 2019",
    url: "https://github.com/aestovall/tree_mortality",
    urlLabel: "GitHub — aestovall/tree_mortality",
    url2: "https://doi.org/10.6084/m9.figshare.7609193.v1",
    urlLabel2: "figshare · doi:10.6084/m9.figshare.7609193.v1",
  },
  {
    kind: "Dataset",
    title: "Leaf traits and spectra data",
    citation: "Yang et al., 2016",
    url: "https://github.com/geoxiyang/LeafTraitSpectraSeasonality-Yangetal2016RSE",
    urlLabel: "GitHub — geoxiyang/LeafTraitSpectraSeasonality",
  },
  {
    kind: "Dataset",
    title: "Tower-Based Visible and Near-Infrared Remote Sensing Observations at Caribou-Poker Creeks Research Watershed, Alaska (April 2023–July 2024)",
    citation: "Dawson et al.",
    url: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=90Z4IKYAAAAJ&sortby=pubdate&citation_for_view=90Z4IKYAAAAJ:2tRrZ1ZAMYUC",
    urlLabel: "Google Scholar",
  },
  {
    kind: "Dataset",
    title: "Caribou-Poker Creeks Research Watershed (Alaska) Pulse-Amplitude Modulation Fluorometry Needle-Scale Observations (March 2022–July 2024)",
    citation: "",
    url: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=90Z4IKYAAAAJ&sortby=pubdate&citation_for_view=90Z4IKYAAAAJ:AHdEip9mkN0C",
    urlLabel: "Google Scholar",
  },
  {
    kind: "App",
    title: "Coastal tree mortality data — Atlantic coast dead tree mapping",
    citation: "Yeung et al.",
    url: "https://ee-chihgyeung.projects.earthengine.app/view/treedeath-atlanticus",
    urlLabel: "Earth Engine App — treedeath-atlanticus",
  },
];

const COURSES = [
  {
    code: "EVSC",
    title: "Advanced Remote Sensing",
    cadence: "University of Virginia · 2017–present",
    blurb:
      "Graduate-level course covering modern remote sensing approaches for environmental science, including solar-induced fluorescence, imaging spectroscopy, lidar, thermal remote sensing, and data assimilation techniques.",
  },
];

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