Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages

A Mercier, J Betbeder, J Baudry, V Le Roux… - ISPRS Journal of …, 2020 - Elsevier
In the global context of population growth and climate change, monitoring crops is
necessary to sustain agriculture and conserve natural resources. While many studies have …

[HTML][HTML] Early-season mapping of winter crops using sentinel-2 optical imagery

H Tian, Y Wang, T Chen, L Zhang, Y Qin - Remote Sensing, 2021 - mdpi.com
Sentinel-2 imagery is an unprecedented data source with high spatial, spectral and temporal
resolution in addition to free access. The objective of this paper was to evaluate the potential …

[HTML][HTML] Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and-2 time series

R d'Andrimont, M Taymans, G Lemoine… - Remote sensing of …, 2020 - Elsevier
A novel methodology is proposed to robustly map oil seed rape (OSR) flowering phenology
from time series generated from the Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) …

Automated in-season mapping of winter wheat in China with training data generation and model transfer

G Yang, X Li, P Liu, X Yao, Y Zhu, W Cao… - ISPRS Journal of …, 2023 - Elsevier
Accurate and timely information on winter wheat spatial distribution is essential for food
security and environmental sustainability. However, high-quality nation-wide winter wheat …

[HTML][HTML] Satellite prediction of forest flowering phenology

DJ Dixon, JN Callow, JMA Duncan… - Remote Sensing of …, 2021 - Elsevier
Abstract Knowledge of flowering phenology is essential for understanding the condition of
forest ecosystems and responses to various anthropogenic and environmental drivers …

Application of google earth engine cloud computing platform, sentinel imagery, and neural networks for crop mapping in Canada

M Amani, M Kakooei, A Moghimi, A Ghorbanian… - Remote Sensing, 2020 - mdpi.com
The ability of the Canadian agriculture sector to make better decisions and manage its
operations more competitively in the long term is only as good as the information available …

Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal

R Fernandez-Beltran, T Baidar, J Kang, F Pla - Remote Sensing, 2021 - mdpi.com
Crop yield estimation is a major issue of crop monitoring which remains particularly
challenging in developing countries due to the problem of timely and adequate data …

A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery

L Xun, J Zhang, D Cao, S Yang, F Yao - ISPRS Journal of Photogrammetry …, 2021 - Elsevier
Cotton is an important cash crop in the world, as the main source of natural and renewable
fiber for textiles. Accurate and timely monitoring of the cotton distribution is crucial for cotton …

A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images

H Chen, H Li, Z Liu, C Zhang, S Zhang… - Remote Sensing of …, 2023 - Elsevier
As a critical source of food and one of the most economically significant crops in the world,
soybean plays an important role in achieving food security. Large area accurate mapping of …

A novel spectral index for automatic canola mapping by using sentinel-2 imagery

H Tian, T Chen, Q Li, Q Mei, S Wang, M Yang, Y Wang… - Remote Sensing, 2022 - mdpi.com
Because canola is a major oilseed crop, accurately determining its planting areas is crucial
for ensuring food security and achieving UN 2030 sustainable development goals. However …