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Found 4 papers, 0 papers with code
From parcels to people: development of a spatially explicit risk indicator to monitor residential pesticide exposure in agricultural areas
Combining the risk map with population distribution data, we have developed an indicator that allows to monitor patterns in non-dietary exposure to pesticides.
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
This paper investigated the potential of a multivariate Transformer model to forecast the temporal trajectory of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for short (1 month) and long horizon (more than 1 month) periods at the regional level in Europe and North Africa.
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
To evaluate our approach, we release a new annotated dataset of 7. 4 million agricultural parcels in France and Netherlands.
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution
Nevertheless, the majority of the studies are restricted to the use of one modality (Remote Sensing data or crop rotation) and never fuse the Earth Observation data with domain knowledge like crop rotations.
