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Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Image-level regression is an important task in Earth observation, where visual domain and label shifts are a core challenge hampering generalization.
SolarEV City Concept for Paris: A promising idea?
Furthermore, the systems potentially allow rapid CO2 emissions reduction; however, with already low-carbon electricity of France by nuclear power, CO2 abatement (0. 020 kgCO2kWh-1 reduction from 0. 063 kgCO2kWh-1) by PV + EV system can be limited, in comparison to that (0. 270 kgCO2kWh-1 reduction from 0. 352 kgCO2kWh-1) of Kyoto, also because of the Paris low insolation and high demands in higher latitude winter.
Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights
This model achieves better accuracy than previously used convolutional based approaches (ConvNets) optimized with only a continuous loss function.
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
In intensively managed forests in Europe, where forests are divided into stands of small size and may show heterogeneity within stands, a high spatial resolution (10 - 20 meters) is arguably needed to capture the differences in canopy height.
Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models
This study generated global SR and its components (HR and AR) fluxes, which are useful benchmarks to constrain the performance of terrestrial ecosystem models.
Paris Agreement requires substantial, broad, and sustained engagements beyond COVID-19 public stimulus packages
It has been claimed that COVID-19 public stimulus packages could be sufficient to meet the short-term energy investment needs to leverage a shift toward a pathway consistent with the 1. 5 degrees C target of the Paris Agreement.
Global Daily CO$_2$ emissions for the year 2020
That even substantial world-wide lockdowns of activity led to a one-time decline in global CO$_2$ emissions of only 5. 4% in one year highlights the significant challenges for climate change mitigation that we face in the post-COVID era.
Atmospheric and Oceanic Physics General Economics Economics
