Remote sensing for agricultural applications: A meta-review
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …
for human livelihood. Today, this role must be satisfied within a context of environmental …
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …
growth of food production to meet the needs of the growing population. However, the limited …
[HTML][HTML] A roadmap for high-resolution satellite soil moisture applications–confronting product characteristics with user requirements
Soil moisture observations are of broad scientific interest and practical value for a wide
range of applications. The scientific community has made significant progress in estimating …
range of applications. The scientific community has made significant progress in estimating …
Uniting remote sensing, crop modelling and economics for agricultural risk management
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …
resolutions is enabling new applications in agriculture and economic development …
[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …
The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter
Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …
Accurate quantification of model and observation errors is the key to determining the …
A review of data assimilation of remote sensing and crop models
Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …
management decision-making at a regional scale is crucial for national food policy and …
Differentiable, learnable, regionalized process‐based models with multiphysical outputs can approach state‐of‐the‐art hydrologic prediction accuracy
Predictions of hydrologic variables across the entire water cycle have significant value for
water resources management as well as downstream applications such as ecosystem and …
water resources management as well as downstream applications such as ecosystem and …
High resolution wheat yield mapping using Sentinel-2
ML Hunt, GA Blackburn, L Carrasco… - Remote Sensing of …, 2019 - Elsevier
Accurate crop yield estimates are important for governments, farmers, scientists and
agribusiness. This paper provides a novel demonstration of the use of freely available …
agribusiness. This paper provides a novel demonstration of the use of freely available …
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
V Sagan, M Maimaitijiang, S Bhadra… - ISPRS journal of …, 2021 - Elsevier
Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …
security, as providing enough food for the world's growing population has become a wicked …