Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine Learning

Prediction of Crop Yield Using Phenological Information Extracted from Remote Sensing Vegetation Index

(2021) Zhonglin Ji et al.   SENSORS

All models of satellite-derived phenology are wrong, but some are useful: A case study from northern Australia

(2021) Nicolas Younes et al.   International Journal of Applied Earth Observation and Geoinformation

Spatially Weighted Estimation of Broadacre Crop Growth Improves Gap-Filling of Landsat NDVI

(2021) Fiona H. Evans et al.   Remote Sensing

The Potential of Landsat NDVI Sequences to Explain Wheat Yield Variation in Fields in Western Australia

(2021) Jianxiu Shen et al.   Remote Sensing

Kalman filter method for generating time-series synthetic Landsat images and their uncertainty from Landsat and MODIS observations

(2020) Fuqun Zhou et al.   REMOTE SENSING OF ENVIRONMENT

Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

(2020) Douglas K. Bolton et al.   REMOTE SENSING OF ENVIRONMENT

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

(2020) Yumiao Wang et al.   Remote Sensing

Report from the conference, ‘identifying obstacles to applying big data in agriculture’

(2020) Emma L. White et al.   PRECISION AGRICULTURE

The use of remote sensing to derive maize sowing dates for large-scale crop yield simulations

(2020) Ehsan Eyshi Rezaei et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Early sowing systems can boost Australian wheat yields despite recent climate change

(2019) James R. Hunt et al.   Nature Climate Change

A simple and parsimonious generalised additive model for predicting wheat yield in a decision support tool

(2019) Kefei Chen et al.   AGRICULTURAL SYSTEMS

Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models

(2019) Sergii Skakun et al.   Remote Sensing

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assimilation of remote sensing into crop growth models: Current status and perspectives

(2019) Jianxi Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Using the Landsat archive to map crop cover history across the United States

(2019) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

High temporal resolution of leaf area data improves empirical estimation of grain yield

(2019) François Waldner et al.   Scientific Reports

Accuracy of six years of operational statistical seasonal forecasts of rainfall in Western Australia (2013 to 2018)

(2019) Fiona H. Evans et al.   ATMOSPHERIC RESEARCH

Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods

(2019) Elisa Kamir et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Remote sensing for agricultural applications: A meta-review

(2019) M. Weiss et al.   REMOTE SENSING OF ENVIRONMENT

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

(2019) Linglin Zeng et al.   REMOTE SENSING OF ENVIRONMENT

Nationwide crop yield estimation based on photosynthesis and meteorological stress indices

(2019) Yang Chen et al.   AGRICULTURAL AND FOREST METEOROLOGY

Seasonal climate forecasts provide more definitive and accurate crop yield predictions

(2018) Jaclyn N. Brown et al.   AGRICULTURAL AND FOREST METEOROLOGY

Fast winter wheat phenology can stabilise flowering date and maximise grain yield in semi-arid Mediterranean and temperate environments

(2018) B.M. Flohr et al.   FIELD CROPS RESEARCH

An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI

(2018) Y.R. Lai et al.   International Journal of Applied Earth Observation and Geoinformation

Robust Landsat-based crop time series modelling

(2018) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Towards a national, remote-sensing-based model for predicting field-scale crop yield

(2018) Randall J. Donohue et al.   FIELD CROPS RESEARCH

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

(2017) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

Analysis of options for increasing wheat (Triticum aestivum L.) yield in south-eastern Australia: The role of irrigation, cultivar choice and time of sowing

(2016) K.T. Zeleke et al.   AGRICULTURAL WATER MANAGEMENT

Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites

(2015) Alan S. Belward et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Deep learning

(2015) Yann LeCun et al.   NATURE

Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations

(2015) Alyssa K. Whitcraft et al.   REMOTE SENSING OF ENVIRONMENT

Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information

(2015) B. Franch et al.   REMOTE SENSING OF ENVIRONMENT

Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data

(2014) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale

(2014) Louis Kouadio et al.   Remote Sensing

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

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

Plant senescence and crop productivity

(2013) Per L. Gregersen et al.   PLANT MOLECULAR BIOLOGY

A comprehensive change detection method for updating the National Land Cover Database to circa 2011

(2013) Suming Jin et al.   REMOTE SENSING OF ENVIRONMENT

MODIS-based corn grain yield estimation model incorporating crop phenology information

(2013) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Estimating regional wheat yield from the shape of decreasing curves of green area index temporal profiles retrieved from MODIS data

(2012) Louis Kouadio et al.   International Journal of Applied Earth Observation and Geoinformation

Opening the archive: How free data has enabled the science and monitoring promise of Landsat

(2012) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

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

Practical variable selection for generalized additive models

(2011) Giampiero Marra et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

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

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef et al.   REMOTE SENSING OF ENVIRONMENT

Estimating tropical deforestation from Earth observation data

(2010) Frédéric Achard et al.   Carbon Management