Characterizing ecosystem response to disturbance using spectroscopic methodsCombining digital colorimetry and spectrometry to investigate relationships between water colour and biogeochemistryThe influence of geologic sample surfaces and crystallographic orientation on TIR spectroscopyOperational application of Ecosystem Functional Property maps to diagnose anomalies in crop production due to vegetation stressHydrometeorological effects on crops observed by optical spectroscopy and microwave scatteringThe essentiality of Essential Biodiversity Variables: implementation in national nature policiesModeling surface water and heat budgets on the Tibetan Plateau using earth observationsEvaluating the impact of interventions on the spatial-temporal dynamics of ecosystem services in rural landscapesEvaluation of effects of error in satellite rainfall on crop growth stage modeling for maize in KenyaRetrieving Subsurface Parameters from Satellite and In-situ MeasurementsAutonomous UAV data Acquisition for 3D City ModelingBuilding disaster resilience through collaborative image-based damage mappingImproving biodiversity monitoring using remote sensing and deep learningRemote sensing detection of vegetation stress by using hyperspectral data and chlorophyll fluorescenceImproved Monitoring of Climate-induced Changes in Crop Phenology with SAR and Multispectral TIme SeriesMissing Data Reconstruction in Remote Sensing images Utilizing Deep Learning and Tensor DecompositionSemi-supervised learning for semantic segmentation using remote sensing dataIntegration of static and dynamic landslide controls at multiple-scales using data-driven methodsGlobal Prediction of Flash Flood Impact Across TimescalesDeep Learning for Mapping GlaciersLOCALISED - Localised decarbonisation pathways for citizens, local administrations and businesses to inform and support mitigation and adaptation actionImproving Satellite Radar Interferometry Techniques in Long-term Surface Deformation MonitoringUsing solar-induced chlorophyll fluorescence derived from the top-of-canopy to monitor vegetation physiological and functional changes under water stressEarly warning system and risk assessment of geohazards in Western ChinaAutonomous real-time UAV mapping with spatial perception in indoor applicationsDeep Learning-Based Classification of Multi-Temporal Remote Sensing ImagesIntegrating Photochemistry and Transfer of Engergy, Mass and Momentum in the Soil-Plant-Atmosphere System via Dynamic Modeling of Root SystemDetection of global hydrological variations and their impacts on wetland vegetation from multiple satellite observationsForest structure retrieval using deep learning based Polarimetric-interferometric inversionMonitoring plant diseases and pests from satellite and UAVUsing solar-induced chlorophyll fluroescence derived from the top-of-canopy to monitor vegetation physiological and functional changes under water stressProducing 2D outlines and 3D building models from ALS point cloudsAssessing fire resilience of Amazonian forestsIntegrating Earth Observation data and modelling to prevent malaria outbreaks in changing environmentsDrone and satellite remote sensing to support catchment scale monitoring of biocontrol of invasive plant species.Satellite Remote Sensing for Mapping Nitrogen Demand in WheatModelling the influence of forest structure on habitat use by ungulate species using multi-source remote sensingModeling the diversity and abundance of understory bamboo species across the giant panda distribution range through integration of GEDI and Sentinel-2 dataSemi-supervised learning applied in automatic mapping based on spatio-temporal dataRetrieval of vegetation properties in grassland by microwave observations using machine learning algorithms trained by physical scattering model simulations
knowledgeDomain
type
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Remote Sensing
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