Crop Monitoring System Using MODIS Time-Series Data for Within-Season Prediction of Yield and Production of US Corn and Soybeans
Author:
Affiliation:
1. Institute for Agro-Environmental Sciences, NARO, Division of Soil Environment Management Research, Agro-Environmental Informatics Group, Tsukuba, Ibaraki, Japan 305-8604
Abstract
Publisher
American Society for Photogrammetry and Remote Sensing
Subject
Computers in Earth Sciences
Reference33 articles.
1. An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States
2. A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
3. An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index
4. Where is the USA Corn Belt, and how is it changing?
5. Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine
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