Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling

Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA

(2019) Bumsuk Seo et al.   FIELD CROPS RESEARCH

The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method

(2019) Huang et al.   Remote Sensing

Derivation of 16-day time-series NDVI data for environmental studies using a data assimilation approach

(2018) Qingmin Meng et al.   GIScience & Remote Sensing

Real-Time Prediction of Crop Yields From MODIS Relative Vegetation Health: A Continent-Wide Analysis of Africa

(2018) Lillian Petersen   Remote Sensing

Analysis of spatial and temporal patterns of aboveground net primary productivity in the Eurasian steppe region from 1982 to 2013

(2017) Cuicui Jiao et al.   Ecology and Evolution

Monitoring interannual variation in global crop yield using long-term AVHRR and MODIS observations

(2016) Xiaoyang Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Global and Regional Variability and Change in Terrestrial Ecosystems Net Primary Production and NDVI: A Model-Data Comparison

(2016) Rashid Rafique et al.   Remote Sensing

Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information

(2014) Jiahua Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Diel growth patterns of young soybean (Glycine max) leaflets are synchronous throughout different positions on a plant

(2014) MICHAEL FRIEDLI et al.   PLANT CELL AND ENVIRONMENT

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection

(2013) Felix Rembold et al.   Remote Sensing

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

(2011) M.S. Mkhabela et al.   AGRICULTURAL AND FOREST METEOROLOGY

Forecasting crop production using satellite-based vegetation health indices in Kansas, USA

(2011) Felix Kogan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in Brazil

(2011) J. C. D. M. Esquerdo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

(2010) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data

(2009) A. G. T. Schut et al.   Crop & Pasture Science

The early explanatory power of NDVI in crop yield modelling

(2008) Lenny Wall et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING