A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D Xiang, S Hu, D Li - Remote Sensing of …, 2020 - Elsevier
Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data

D Mandal, V Kumar, D Ratha, S Dey… - Remote Sensing of …, 2020 - Elsevier
Abstract Sentinel-1 Synthetic Aperture Radar (SAR) data have provided an unprecedented
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …

Applications of vegetative indices from remote sensing to agriculture: Past and future

JL Hatfield, JH Prueger, TJ Sauer, C Dold, P O'brien… - Inventions, 2019 - mdpi.com
Remote sensing offers the capability of observing an object without being in contact with the
object. Throughout the recent history of agriculture, researchers have observed that different …

[HTML][HTML] Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and-2

M Meroni, R d'Andrimont, A Vrieling… - Remote sensing of …, 2021 - Elsevier
The frequent acquisitions of fine spatial resolution imagery (10 m) offered by recent
multispectral satellite missions, including Sentinel-2, can resolve single agricultural fields …

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] 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) …

A CNN-transformer hybrid approach for crop classification using multitemporal multisensor images

Z Li, G Chen, T Zhang - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Multitemporal Earth observation capability plays an increasingly important role in crop
monitoring. As the frequency of satellite acquisition of remote sensing images becomes …

Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment

N Bhogapurapu, S Dey, A Bhattacharya… - ISPRS Journal of …, 2021 - Elsevier
Accurate and high-resolution spatio-temporal information about crop phenology obtained
from Synthetic Aperture Radar (SAR) data is an essential component for crop management …

Crop phenology retrieval via polarimetric SAR decomposition and Random Forest algorithm

H Wang, R Magagi, K Goïta, M Trudel… - Remote Sensing of …, 2019 - Elsevier
Abstract Knowledge of crop phenology assists in making agricultural decisions such as
appropriate irrigation and fertilization applications in order to optimize crop yield. The …

Agri-Fuse: A novel spatiotemporal fusion method designed for agricultural scenarios with diverse phenological changes

Z Gu, J Chen, Y Chen, Y Qiu, X Zhu, X Chen - Remote Sensing of …, 2023 - Elsevier
Images of key phenological periods play a vital role in agricultural applications as they
capture the unique spectral characteristics of crops. Unfortunately, acquiring high-spatial …