Uniting remote sensing, crop modelling and economics for agricultural risk management

E Benami, Z Jin, MR Carter, A Ghosh… - Nature Reviews Earth & …, 2021 - nature.com
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …

Forecasting spatio-temporal dynamics on the land surface using earth observation data—A review

J Koehler, C Kuenzer - Remote Sensing, 2020 - mdpi.com
Reliable forecasts on the impacts of global change on the land surface are vital to inform the
actions of policy and decision makers to mitigate consequences and secure livelihoods …

Prediction of corn variety yield with attribute-missing data via graph neural network

F Yang, D Zhang, Y Zhang, Y Zhang, Y Han… - … and Electronics in …, 2023 - Elsevier
The crop variety yield prediction is widely used to select new varieties and select suitable
planting areas for them, but it still suffers from multiple grand challenges, including sparse …

Monitoring corn nitrogen concentration from radar (C-SAR), optical, and sensor satellite data fusion

A Lapaz Olveira, H Saínz Rozas, M Castro-Franco… - Remote Sensing, 2023 - mdpi.com
Corn (Zea mays L.) nitrogen (N) management requires monitoring plant N concentration
(Nc) with remote sensing tools to improve N use, increasing both profitability and …

Estimation of daily CO2 fluxes and of the components of the carbon budget for winter wheat by the assimilation of Sentinel 2-like remote sensing data into a crop …

G Pique, R Fieuzal, A Al Bitar, A Veloso, T Tallec… - Geoderma, 2020 - Elsevier
Croplands contribute to greenhouse gas emissions but also have the potential to mitigate
climate change through soil carbon storage. However, there is a lack of tools based on …

Monitoring maize growth and calculating plant heights with Synthetic Aperture Radar (SAR) and optical satellite images

İ Arslan, M Topakcı, N Demir - Agriculture, 2022 - mdpi.com
The decrease in water resources due to climate change is expected to have a significant
impact on agriculture. On the other hand, as the world population increases so does the …

Combining a crop growth model with CNN for underground natural gas leakage detection using hyperspectral imagery

Y Du, J Jiang, Z Liu, Y Pan - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Natural gas leakage occurs frequently due to aging pipes and other factors, but is
challenging to detect. In this article, a new, robust method for nondestructive natural gas …

Combining high-resolution remote sensing products with a crop model to estimate carbon and water budget components: Application to sunflower

G Pique, R Fieuzal, P Debaeke, A Al Bitar, T Tallec… - Remote Sensing, 2020 - mdpi.com
The global increase in food demand in the context of climate change requires a clear
understanding of cropland function and of its impact on biogeochemical cycles. However …

Integration of optical and SAR remote sensing images for crop-type mapping based on a novel object-oriented feature selection method

J Cui, X Zhang, W Wang, L Wang - International Journal of Agricultural and …, 2020 - ijabe.org
Remote sensing is an important technical means to investigate land resources. Optical
imagery has been widely used in crop classification and can show changes in moisture and …

Evaluation of multiorbital SAR and multisensor optical data for empirical estimation of rapeseed biophysical parameters

A Allies, A Roumiguié, JF Dejoux… - IEEE journal of …, 2021 - ieeexplore.ieee.org
This article aims to evaluate the potential of multitemporal and multiorbital remote sensing
data acquired both in the microwave and optical domain to derive rapeseed biophysical …