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Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges

https://doi.org/10.1029/2021jg006697
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Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆
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A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency
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Spectral reflectance measurements in the genus Sphagnum
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Reflectance spectra of subarctic lichens between 400 and 2400 nm
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Short term changes in moisture content drive strong changes in Normalized Difference Vegetation Index and gross primary productivity in four Arctic moss communities
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Imaging lichen water content with visible to mid-wave infrared (400–5500 nm) spectroscopy
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Mapping foliar functional traits and their uncertainties across three years in a grassland experiment
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Linking vegetation cover and seasonal thaw depths in interior Alaska permafrost terrains using remote sensing
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A spectral analysis of common boreal ground lichen species
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Upland tundra in the foothills of the Brooks Range, Alaska: Influence of light, water content and temperature on CO2 exchange of characteristic lichen species
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Self‐Amplifying Feedbacks Accelerate Greening and Warming of the Arctic
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Tower‐Based Remote Sensing Reveals Mechanisms Behind a Two‐phased Spring Transition in a Mixed‐Species Boreal Forest
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Simultaneous Characterization of Wildfire Smoke and Surface Properties With Imaging Spectroscopy During the FIREX‐AQ Field Campaign
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Spectral reflectance measurements of boreal wetland and forest mosses
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Using chlorophyll fluorescence to assess the fraction of absorbed light allocated to thermal dissipation of excess excitation
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Recent change of Arctic tundra ecosystems from a net carbon dioxide sink to a source
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Global plant trait relationships extend to the climatic extremes of the tundra biome
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Summer warming explains widespread but not uniform greening in the Arctic tundra biome
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Complexity revealed in the greening of the Arctic
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Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions
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Plant functional trait change across a warming tundra biome
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The role of land cover change in Arctic-Boreal greening and browning trends
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The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone
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Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites
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Climate drivers of Arctic tundra variability and change using an indicators framework
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Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
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Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes
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20 cm resolution mapping of tundra vegetation communities provides an ecological baseline for important research areas in a changing Arctic environment
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Extensive land cover change across Arctic–Boreal Northwestern North America from disturbance and climate forcing
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Remote sensing tracks daily radial wood growth of evergreen needleleaf trees
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Winter snow and spring temperature have differential effects on vegetation phenology and productivity across Arctic plant communities
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Let the concept of trait be functional!
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The Circumpolar Arctic vegetation map
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Sustained energy dissipation in winter evergreens
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Three causes of variation in the photochemical reflectance index ( PRI ) in evergreen conifers
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The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers
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A roadmap for improving the representation of photosynthesis in Earth system models
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Plant traits inform predictions of tundra responses to global change
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From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
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Tracking the phenology of photosynthesis using carotenoid‐sensitive and near‐infrared reflectance vegetation indices in a temperate evergreen and mixed deciduous forest
inferredcites →https://doi.org/10.1111/nph.16711openalex-snapshot
Foliar functional traits from imaging spectroscopy across biomes in eastern North America
inferredcites →https://doi.org/10.1111/nph.16771openalex-snapshot
Leaf reflectance spectra capture the evolutionary history of seed plants
inferredcites →https://doi.org/10.1111/nph.17375openalex-snapshot
Seasonal thaw and landscape position determine foliar functional traits and whole‐plant water use in tall shrubs on the low arctic tundra
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Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs
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Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
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Basidiomycete yeasts in the cortex of ascomycete macrolichens
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Plant communities and soils in cryoturbated tundra along a bioclimate gradient in the Low Arctic, Alaska
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Warmer Shorter Winters Disrupt Arctic Terrestrial Ecosystems
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Current and near-term advances in Earth observation for ecological applications
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Classication of Wetland Types for Mapping and Large-Scale Inventories
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A large airborne survey of Earth’s visible-infrared spectral dimensionality
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A spectral analysis of 25 boreal tree species
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Redefining the Directional-Hemispherical Reflectance and Transmittance of Needle-Shaped Leaves to Address Issues in Their Existing Measurement Methods
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Photoprotective Strategies of Overwintering Evergreens
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Winter Biological Processes Could Help Convert Arctic Tundra to Shrubland
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PHOTOSYNTHESIS OF ARCTIC EVERGREENS UNDER SNOW: IMPLICATIONS FOR TUNDRA ECOSYSTEM CARBON BALANCE
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Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks
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Spectral and Radiometric Calibration of the Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG)
inferredcites →https://doi.org/10.3390/rs12071123openalex-snapshot
A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
inferredcites →https://doi.org/10.3390/rs12162638openalex-snapshot
A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
inferredcites →https://doi.org/10.3390/rs13050897openalex-snapshot
Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska Using AVIRIS-NG Hyperspectral Data
inferredcites →https://doi.org/10.3390/rs13153031openalex-snapshot
Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard
inferredcites →https://doi.org/10.3390/rs61010152openalex-snapshot
Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning
inferredcites →https://doi.org/10.3390/rs8010051openalex-snapshot
Differentiating among Four Arctic Tundra Plant Communities at Ivotuk, Alaska Using Field Spectroscopy
inferredcites →https://doi.org/10.3390/rs8070551openalex-snapshot
Calibration and Validation of Landsat Tree Cover in the Taiga−Tundra Ecotone
inferredcites →https://doi.org/10.3390/rs8120978openalex-snapshot
Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA
inferredcites →https://doi.org/10.3390/rs8120979openalex-snapshot
Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges
inferredcites →https://doi.org/10.3390/rs9101024openalex-snapshot
Regional Quantitative Cover Mapping of Tundra Plant Functional Types in Arctic Alaska
inferredcites →https://doi.org/10.3390/rs9111200openalex-snapshot
A Phenological Approach to Spectral Differentiation of Low-Arctic Tundra Vegetation Communities, North Slope, Alaska
inferredcites →https://doi.org/10.3808/jei.201400278openalex-snapshot
A Mobile Instrumented Sensor Platform for Long-Term Terrestrial Ecosystem Analysis: An Example Application in an Arctic Tundra Ecosystem
inferredcites →https://doi.org/10.5194/bg-13-3847-2016openalex-snapshot
Spaceborne potential for examining taiga–tundra ecotone form and vulnerability
inferredcites →https://doi.org/10.5194/bg-15-5801-2018openalex-snapshot
Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation
inferredcites →https://doi.org/10.5194/bg-15-6221-2018openalex-snapshot
Assessing the dynamics of vegetation productivity in circumpolar regions with different satellite indicators of greenness and photosynthesis
inferredcites →https://doi.org/10.5194/bg-18-1577-2021openalex-snapshot
Microclimatic comparison of lichen heaths and shrubs: shrubification generates atmospheric heating but subsurface cooling during the growing season
inferredcites →https://doi.org/10.5194/bg-18-2649-2021openalex-snapshot
Arctic aquatic graminoid tundra responses to nutrient availability
inferredcites →https://doi.org/10.5194/gmd-14-2603-2021openalex-snapshot
Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance
inferredcites →https://doi.org/10.5281/zenodo.5806487openalex-snapshot
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020
inferredcites →https://doi.org/10.5721/eujrs20164909openalex-snapshot
Evaluating EO1-Hyperion capability for mapping conifer and broadleaved forests
inferredcites →https://doi.org/10.7557/2.22.1.388openalex-snapshot
Reindeer (Rangifer tarandus) and climate change: Importance of winter forage
inferredcites →https://doi.org/10.7557/2.27.4.345openalex-snapshot
Changes in vegetative cover on Western Arctic Herd winter range from 1981 to 2005: potential effects of grazing and climate change

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4804008openalex-extracted
Predicting Plants in the Wild: Mapping Arctic and Boreal Plants with Uas-Based Visible and Near Infrared Reflectance Spectra
inferred← citeshttps://doi.org/10.1002/ecy.4402openalex-snapshot
Seasonal timing of fluorescence and photosynthetic yields at needle and canopy scales in evergreen needleleaf forests
inferred← citeshttps://doi.org/10.1002/rse2.371openalex-snapshot
Mapping water content in drying Antarctic moss communities using UAS ‐borne SWIR imaging spectroscopy
inferred← citeshttps://doi.org/10.1007/978-3-031-51023-6_33openalex-snapshot
Assessing Machine Learning Algorithms for Land Use and Land Cover Classification in Morocco Using Google Earth Engine
inferred← citeshttps://doi.org/10.1007/978-3-031-54376-0_24openalex-snapshot
Exploring Google Earth Engine Platform for Satellite Image Classification Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-69076-1_10openalex-snapshot
Land Surface-Atmosphere CO2 Fluxes in the Critical Zone
inferred← citeshttps://doi.org/10.1007/s10661-022-10853-8openalex-snapshot
Enhanced trends in spectral greening and climate anomalies across Europe
inferred← citeshttps://doi.org/10.1007/s12237-026-01682-wopenalex-snapshot
Integration of Remote Sensing and Photogrammetry as a Solution for Studying Shoreline Change in NW Spitsbergen, Svalbard
inferred← citeshttps://doi.org/10.1016/j.agrformet.2023.109319openalex-snapshot
Phenological assessment of transpiration: The stem-temp approach for determining start and end of season
inferred← citeshttps://doi.org/10.1016/j.dendro.2026.126538openalex-snapshot
Salix polaris growth rings are an unreliable proxy for satellite-derived tundra productivity on Svalbard
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102732openalex-snapshot
Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.111080openalex-snapshot
Suitability and limitations of ground-based imagery and thermography for long-term monitoring of vegetation changes in Victoria Land (continental Antarctica)
inferred← citeshttps://doi.org/10.1016/j.ecolind.2026.114843openalex-snapshot
Assessing the hidden risk: Advanced mapping of mattic layer ruptures on the Qinghai-Tibetan plateau using UAV photogrammetry and machine learning
inferred← citeshttps://doi.org/10.1016/j.funeco.2023.101224openalex-snapshot
Non-invasive monitoring of photosynthetic activity and water content in forest lichens by spectral reflectance data and RGB colors from photographs
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104156openalex-snapshot
Predicting plants in the wild: Mapping arctic and boreal plants with UAS-based visible and near infrared reflectance spectra
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105522openalex-snapshot
Simulated AVIRIS-3 detects species-specific patterns of vegetation succession in retrogressive thaw slumps
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102304openalex-snapshot
From summer to dynamic winter landcover mapping: Modeling snow-induced vegetation burial in a northern ecosystem
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113430openalex-snapshot
Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114175openalex-snapshot
The value of hyperspectral UAV imagery in characterizing tundra vegetation
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114415openalex-snapshot
Retrieval of moisture content of common Sphagnum peat moss species from hyperspectral and multispectral data
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114507openalex-snapshot
Evaluating the utility of hyperspectral data to monitor local-scale β-diversity across space and time
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114717openalex-snapshot
Next generation Arctic vegetation maps: Aboveground plant biomass and woody dominance mapped at 30 m resolution across the tundra biome
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.178982openalex-snapshot
Leveraging synergies between UAV and Landsat 8 sensors to evaluate the impact of pale lichen biomass on land surface temperature in heath tundra ecosystems
inferred← citeshttps://doi.org/10.1029/2025jg009039openalex-snapshot
Integrating Characteristic Arctic Vegetation in a Land Surface Model Improves Representation of Carbon Dynamics Across a Tundra Landscape
inferred← citeshttps://doi.org/10.1029/2026gl124727openalex-snapshot
Arctic and Tibetan Plateau Tundra Show Divergent Temperature and Precipitation Thresholds Under Climate Change
inferred← citeshttps://doi.org/10.1038/s41597-025-04502-1openalex-snapshot
A 20 m spatial resolution peatland extent map of Alaska
inferred← citeshttps://doi.org/10.1038/s41597-025-04898-wopenalex-snapshot
Airborne imaging spectroscopy surveys of Arctic and boreal Alaska and northwestern Canada 2017–2023
inferred← citeshttps://doi.org/10.1038/s41597-025-05326-9openalex-snapshot
PAVC: The foundation for a Pan-Arctic Vegetation Cover database
inferred← citeshttps://doi.org/10.1038/s41598-024-76292-2openalex-snapshot
Frozen no more, a case study of Arctic permafrost impacts of oil and gas withdrawal
inferred← citeshttps://doi.org/10.1038/s41598-026-41640-xopenalex-snapshot
The Arctic vegetation is more sensitive to heatwave-induced photosynthetic decline than other climate zones in Europe (2009–2017)
inferred← citeshttps://doi.org/10.1038/s43247-024-01712-0openalex-snapshot
Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations
inferred← citeshttps://doi.org/10.1088/1748-9326/ac6965openalex-snapshot
Time-series maps reveal widespread change in plant functional type cover across Arctic and boreal Alaska and Yukon
inferred← citeshttps://doi.org/10.1088/1748-9326/aca5a0openalex-snapshot
Forests for forests: combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest
inferred← citeshttps://doi.org/10.1088/1748-9326/ace637openalex-snapshot
Reducing uncertainty of high-latitude ecosystem models through identification of key parameters
inferred← citeshttps://doi.org/10.1088/1748-9326/ae481aopenalex-snapshot
Meta-analysis of North American Arctic and boreal aboveground biomass datasets: assessing accuracy, dynamics, and similarities
inferred← citeshttps://doi.org/10.1088/1748-9326/ae8e8fopenalex-snapshot
Alaska’s boreal-tundra resolved with vegetation height from commercial imagery and a foundation model
inferred← citeshttps://doi.org/10.1088/2752-664x/ad9282openalex-snapshot
Tundra fires and surface subsidence increase spectral diversity on the Yukon–Kuskokwim Delta, Alaska
inferred← citeshttps://doi.org/10.1088/2752-664x/ad9eb8openalex-snapshot
Fine-scale landscape characteristics, vegetation composition, and snowmelt timing control phenological heterogeneity across low-Arctic tundra landscapes in Western Alaska
inferred← citeshttps://doi.org/10.1088/2752-664x/adf447openalex-snapshot
Finding northernmost baselines: high variability of above-ground biomass on Eurasian polar desert islands
inferred← citeshttps://doi.org/10.1088/2752-664x/adf448openalex-snapshot
Monitoring sub-arctic wetland vegetation using nested scales of spectrometry to inform multiple endmember spectral unmixing of Sentinel-2A imagery
inferred← citeshttps://doi.org/10.1088/2752-664x/ae487eopenalex-snapshot
Detecting unvegetated permafrost-thaw features in Arctic tundra using imaging spectroscopy
inferred← citeshttps://doi.org/10.1093/biosci/biad116openalex-snapshot
The biological basis for using optical signals to track evergreen needleleaf photosynthesis
inferred← citeshttps://doi.org/10.1109/access.2023.3293828openalex-snapshot
Machine Learning Algorithms for Satellite Image Classification Using Google Earth Engine and Landsat Satellite Data: Morocco Case Study
inferred← citeshttps://doi.org/10.1109/isacc65211.2025.10969210openalex-snapshot
Comparative Analysis of Machine Learning Models for Satellite Image Classification with Explainable AI Visualization
inferred← citeshttps://doi.org/10.1111/1365-2745.13976openalex-snapshot
Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate
inferred← citeshttps://doi.org/10.1111/2041-210x.70188openalex-snapshot
Time‐lapse cameras bridge the gap between remote sensing and in situ observations of tundra phenology
inferred← citeshttps://doi.org/10.1111/pce.15393openalex-snapshot
Harnessing Spectral Libraries From AVIRIS‐NG Data for Precise PFT Classification: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1371/journal.pone.0285030openalex-snapshot
NDVI changes in the Arctic: Functional significance in the moist acidic tundra of Northern Alaska
inferred← citeshttps://doi.org/10.1371/journal.pone.0332896openalex-snapshot
Characteristics and driving mechanisms of vegetation phenology variations in the Bosten Lake Basin, Xinjiang, China
inferred← citeshttps://doi.org/10.21046/2070-7401-2023-20-2-184-201openalex-snapshot
Characteristics of anthropogenic transformations of the ground cover in the area of Yamburg gas field based on Landsat satellite data
inferred← citeshttps://doi.org/10.2139/ssrn.4827178openalex-snapshot
Predicting Plants in the Wild: Mapping Arctic and Boreal Plants with Uas-Based Visible and Near Infrared Reflectance Spectra
inferred← citeshttps://doi.org/10.2139/ssrn.4865820openalex-snapshot
Unmanned Aerial Vehicle Imagery-Based Analysis Of The Impacts of Subgrid Heterogeneity on Vegetation Characteristics In Periglacial Environments
inferred← citeshttps://doi.org/10.2139/ssrn.6876998openalex-snapshot
Clustering biomes from space: from pixels to foundation models
inferred← citeshttps://doi.org/10.24018/ejai.2024.3.3.40openalex-snapshot
Assessment of the Accuracy of Various Machine Learning Algorithms for Classifying Urban Areas through Google Earth Engine: A Case Study of Kabul City, Afghanistan
inferred← citeshttps://doi.org/10.29222/ipng.2078-5712.2022-39openalex-snapshot
inferred← citeshttps://doi.org/10.29222/ipng.2078-5712.2022-39.art10openalex-snapshot
Using images from Landsat satellites to characterize the transformations of the ground cover at the Bovanenkovo–Baydaratskaya Bay section of the route of the Bovanenkovo–Ukhta gas pipeline
inferred← citeshttps://doi.org/10.3389/fenvs.2024.1378443openalex-snapshot
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
inferred← citeshttps://doi.org/10.3389/fenvs.2025.1525574openalex-snapshot
The changing face of the Arctic: four decades of greening and implications for tundra ecosystems
inferred← citeshttps://doi.org/10.3389/fenvs.2025.1657984openalex-snapshot
Segmentation of arctic coastal shoreline and bluff edges using optical satellite imagery and deep learning
inferred← citeshttps://doi.org/10.3389/fpls.2025.1724838openalex-snapshot
Topography and functional traits shape the distribution of key shrub plant functional types in low-Arctic tundra
inferred← citeshttps://doi.org/10.3389/frsen.2026.1843759openalex-snapshot
Testing a computed tomography imaging spectrometer for Earth observations on the HEIMDAL stratospheric balloon mission
inferred← citeshttps://doi.org/10.3390/geographies6010033openalex-snapshot
Ecosystems as Organisms in Spectral Space: Landscape Corrosion Revealed by Unreliable Classification Zones
inferred← citeshttps://doi.org/10.3390/rs15123090openalex-snapshot
Algorithms and Predictors for Land Cover Classification of Polar Deserts: A Case Study Highlighting Challenges and Recommendations for Future Applications
inferred← citeshttps://doi.org/10.3390/rs16020230openalex-snapshot
Unrecorded Tundra Fires in Canada, 1986–2022
inferred← citeshttps://doi.org/10.3390/rs16234509openalex-snapshot
Vegetation Changes in the Arctic: A Review of Earth Observation Applications
inferred← citeshttps://doi.org/10.3390/rs17020244openalex-snapshot
Characterizing Sparse Spectral Diversity Within a Homogenous Background: Hydrocarbon Production Infrastructure in Arctic Tundra near Prudhoe Bay, Alaska
inferred← citeshttps://doi.org/10.4236/ojapps.2026.165107openalex-snapshot
An Attention-Based Improved Laplacian Pyramid Network for Remote Sensing Image Pansharpening
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