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Spatially Aware Deep Learning for Microclimate Prediction from High-Resolution Geospatial Imagery

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10980-020-01180-9openalex-snapshot
Drones provide spatial and volumetric data to deliver new insights into microclimate modelling
inferredcites →https://doi.org/10.1016/j.agrformet.2020.107947openalex-snapshot
Tree cooling effects and human thermal comfort under contrasting species and sites
inferredcites →https://doi.org/10.1016/s0098-3004(00)00057-1openalex-snapshot
Using the R statistical data analysis language on GRASS 5.0 GIS database files
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/s41558-023-01769-3openalex-snapshot
Harnessing AI and computing to advance climate modelling and prediction
inferredcites →https://doi.org/10.1080/01621459.2016.1180986openalex-snapshot
Smoothing Parameter and Model Selection for General Smooth Models
inferredcites →https://doi.org/10.1086/687246openalex-snapshot
Foraging Activity Pattern Is Shaped by Water Loss Rates in a Diurnal Desert Rodent
inferredcites →https://doi.org/10.1111/2041-210x.13093openalex-snapshot
Microclima: An r package for modelling meso‐ and microclimate
inferredcites →https://doi.org/10.1111/2041-210x.13120openalex-snapshot
Machine learning to classify animal species in camera trap images: Applications in ecology
inferredcites →https://doi.org/10.1111/2041-210x.13330openalex-snapshot
A method for computing hourly, historical, terrain‐corrected microclimate anywhere on earth
inferredcites →https://doi.org/10.1111/2041-210x.13942openalex-snapshot
Spanning scales: The airborne spatial and temporal sampling design of the National Ecological Observatory Network
inferredcites →https://doi.org/10.1111/ecog.02360openalex-snapshot
NicheMapR – an R package for biophysical modelling: the microclimate model
inferredcites →https://doi.org/10.1111/gcb.12257openalex-snapshot
Microclimatic challenges in global change biology
inferredcites →https://doi.org/10.1111/gcb.16557openalex-snapshot
Mechanistic forecasts of species responses to climate change: The promise of biophysical ecology
inferredcites →https://doi.org/10.1175/bams-85-3-381openalex-snapshot
The Global Land Data Assimilation System
inferredcites →https://doi.org/10.1175/bams-d-11-00094.1openalex-snapshot
An Overview of CMIP5 and the Experiment Design
inferredcites →https://doi.org/10.5194/gmd-18-787-2025openalex-snapshot
Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling
inferredcites →https://doi.org/10.5194/hess-27-1865-2023openalex-snapshot
Hybrid forecasting: blending climate predictions with AI models
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