Remote sensing-based global crop monitoring: experiences with China's CropWatch system
B Wu, J Meng, Q Li, N Yan, X Du… - International Journal of …, 2014 - Taylor & Francis
Monitoring the production of main agricultural crops is important to predict and prepare for
disruptions in food supply and fluctuations in global crop market prices. China's global crop …
disruptions in food supply and fluctuations in global crop market prices. China's global crop …
[HTML][HTML] Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI)
derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery are …
derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery are …
[HTML][HTML] The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
MC Anderson, CA Zolin, PC Sentelhas, CR Hain… - Remote Sensing of …, 2016 - Elsevier
To effectively meet growing food demands, the global agronomic community will require a
better understanding of factors that are currently limiting crop yields and where production …
better understanding of factors that are currently limiting crop yields and where production …
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS)
Crop height is a very important attribute to assess overall crop condition, irrigation, and
estimation of terminal yield. In this study, a novel method to monitor crop height of Sorghum …
estimation of terminal yield. In this study, a novel method to monitor crop height of Sorghum …
Daily mapping of 30 m LAI and NDVI for grape yield prediction in California vineyards
Wine grape quality and quantity are affected by vine growing conditions during critical
phenological stages. Field observations of vine growth stages are too sparse to fully capture …
phenological stages. Field observations of vine growth stages are too sparse to fully capture …
[HTML][HTML] Comparison of vegetation indices derived from UAV data for differentiation of tillage effects in agriculture
Unmanned aerial vehicle (UAV) platforms with sensors covering the red-edge and near-
infrared (NIR) bands to measure vegetation indices (VIs) have been recently introduced in …
infrared (NIR) bands to measure vegetation indices (VIs) have been recently introduced in …
Remotely sensed rice yield prediction using multi-temporal NDVI data derived from NOAA's-AVHRR
Grain-yield prediction using remotely sensed data have been intensively studied in wheat
and maize, but such information is limited in rice, barley, oats and soybeans. The present …
and maize, but such information is limited in rice, barley, oats and soybeans. The present …
Optimal county-level crop yield prediction using MODIS-based variables and weather data: A comparative study on machine learning models
Accurate crop yield prediction for more precise forecasting of price volatility in crop markets,
better agricultural planning and enhanced national food security is one of the important …
better agricultural planning and enhanced national food security is one of the important …
A data-driven crop model for maize yield prediction
Accurate estimation of crop yield predictions is of great importance for food security under
the impact of climate change. We propose a data-driven crop model that combines the …
the impact of climate change. We propose a data-driven crop model that combines the …
Using NDVI percentiles to monitor real-time crop growth
C Li, H Li, J Li, Y Lei, C Li, K Manevski… - Computers and Electronics …, 2019 - Elsevier
Abstract The Normalized Difference Vegetation Index (NDVI) is a widely used remote
sensing indicator for crop growth monitoring, farmland management and crop production …
sensing indicator for crop growth monitoring, farmland management and crop production …