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 …
A systematic review of local to regional yield forecasting approaches and frequently used data resources
B Schauberger, J Jägermeyr, C Gornott - European Journal of Agronomy, 2020 - Elsevier
Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …
relevant to the whole agricultural production chain. Farmers can adapt their management …
[HTML][HTML] A comparison of global agricultural monitoring systems and current gaps
Global and regional scale agricultural monitoring systems aim to provide up-to-date
information regarding food production to different actors and decision makers in support of …
information regarding food production to different actors and decision makers in support of …
Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification
Y Yuan, L Lin, ZG Zhou, H Jiang, Q Liu - ISPRS Journal of Photogrammetry …, 2023 - Elsevier
Precise crop mapping is crucial for guiding agricultural production, forecasting crop yield,
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
Mapping winter crops using a phenology algorithm, time-series Sentinel-2 and Landsat-7/8 images, and Google Earth Engine
With the increasing population and continuation of climate change, an adequate food supply
is vital to economic development and social stability. Winter crops are important crop types …
is vital to economic development and social stability. Winter crops are important crop types …
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
A Wolanin, G Camps-Valls, L Gómez-Chova… - Remote sensing of …, 2019 - Elsevier
Satellite remote sensing has been widely used in the last decades for agricultural
applications, both for assessing vegetation condition and for subsequent yield prediction …
applications, both for assessing vegetation condition and for subsequent yield prediction …
[HTML][HTML] Automated mapping of soybean and corn using phenology
For the two of the most important agricultural commodities, soybean and corn, remote
sensing plays a substantial role in delivering timely information on the crop area for …
sensing plays a substantial role in delivering timely information on the crop area for …
[HTML][HTML] No pixel left behind: Toward integrating Earth Observations for agriculture into the United Nations Sustainable Development Goals framework
Remotely sensed Earth observations (EO) have their history firmly rooted in agricultural
monitoring, and more recently with applications in food production, food security, and …
monitoring, and more recently with applications in food production, food security, and …
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China
Accurate and timely crop yield forecasts can provide essential information to make
conclusive agricultural policies and to conduct investments. Recent studies have used …
conclusive agricultural policies and to conduct investments. Recent studies have used …
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Spatially explicit information on crop distribution is essential for market information, food
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …