This repository contains the code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery that will be published as a poster paper in ...

Many applied problems arising in agricultural monitoring and food security require reliable crop maps at national or global scale. Large scale crop mapping requires processing and management of large ...

It is compiled using optical satellite ... images, noisy images and images with missing pixels Contains multiple python scripts for downloading the Sentinel-2 images for each point in the sample .csv ...

Deep learning models have proven to be able to leverage these type of data ... art architecture using self-attention to classify crops captured in satellite images time series, we introduce two ...

and it is an essential data input for remote sensing and GIS analysts who perform crop classification using satellite images. Trained with more than half a million annotated datasets across different ...

Abstract: This paper presents a Deep Neural Network classifier for use in the identification of citrus fruit crops using satellite multispectral ... previously labelled images. These reflectance ...