[HTML][HTML] National crop map** using Sentinel-1 time series: A knowledge-based descriptive algorithm

C Planque, R Lucas, S Punalekar, S Chognard… - Remote Sensing, 2021 - mdpi.com
National-level map** of crop types is important to monitor food security, understand
environmental conditions, inform optimal use of the landscape, and contribute to agricultural …

Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics

X Ge, M Schaap, R Kranenburg… - Atmospheric …, 2020 - acp.copernicus.org
Ammonia emissions to the atmosphere have increased substantially in Europe since 1960,
largely due to the intensification of agriculture as illustrated by enhanced livestock and …

Crop type map** using optical and radar images: A review

A Dakir, OB Alami, F Barramou - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Crop type identification and map** have been a classic issue essential for agriculture
characterisation and food security as well as crop health monitoring. Remote sensing was …

Classification of remote sensing time series and similarity metrics for crop type verification

D Dimov - Journal of Applied Remote Sensing, 2022 - spiedigitallibrary.org
One of the greatest challenges in many machine learning applications is to build robust
classification models that reduce calibration efforts, ensure model transferability to unseen …

Temporal ViT-U-Net Tandem Model: Enhancing Multi-Sensor Land Cover Classification Through Transformer-Based Utilization of Satellite Image Time Series

M Heidarianbaei… - ISPRS Annals of …, 2024 - isprs-annals.copernicus.org
Semantic segmentation is essential in the field of remote sensing because it is used for
various applications such as environmental monitoring and land cover classification. Recent …