Challenges and opportunities in remote sensing-based crop monitoring: A review
Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …
in global food markets both require concurrent and near-real-time and reliable crop …
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …
spatial resolution is invaluable for the management of dryland forest resources in areas at …
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco
Accurate seasonal forecasting of cereal yields is an important decision support tool for
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
Estimation of above-ground biomass of winter wheat based on consumer-grade multi-spectral UAV
F Wang, M Yang, L Ma, T Zhang, W Qin, W Li, Y Zhang… - Remote Sensing, 2022 - mdpi.com
One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …
Estimation of crop yield from combined optical and SAR imagery using Gaussian kernel regression
Y Alebele, W Wang, W Yu, X Zhang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The synthetic aperture radar (SAR) interferometric coherence can complement optical data
for the estimation of crop growth parameters, but it has not been yet investigated for …
for the estimation of crop growth parameters, but it has not been yet investigated for …
[HTML][HTML] Planet's Biomass Proxy for monitoring aboveground agricultural biomass and estimating crop yield
PC Guillevic, B Aouizerats, R Burger, N Den Besten… - Field Crops …, 2024 - Elsevier
In the context of increasing environmental change, monitoring crop conditions throughout
the growing season is critical for agricultural management, risk mitigation and early …
the growing season is critical for agricultural management, risk mitigation and early …
Potential for the detection of irrigation events on maize plots using Sentinel-1 soil moisture products
Although the real timing and flow rates used for crop irrigation are controlled at the scale of
individual plots by the irrigator, they are not generally known by the farm upper …
individual plots by the irrigator, they are not generally known by the farm upper …
Surface soil moisture retrieval on Qinghai-Tibetan plateau using sentinel-1 synthetic aperture radar data and machine learning algorithms
L Dong, W Wang, R Jin, F Xu, Y Zhang - Remote Sensing, 2022 - mdpi.com
Soil moisture is a key factor in the water and heat exchange and energy transformation of
the ecological systems and is of critical importance to the accurate obtainment of the soil …
the ecological systems and is of critical importance to the accurate obtainment of the soil …
Wheat yield estimation at high spatial resolution through the assimilation of sentinel-2 data into a crop growth model
Monitoring crop growth and estimating crop yield are essential for managing agricultural
production, ensuring food security, and maintaining sustainable agricultural development …
production, ensuring food security, and maintaining sustainable agricultural development …