A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

(2019) Yan Li et al.   FIELD CROPS RESEARCH

The important but weakening maize yield benefit of grain filling prolongation in the US Midwest

(2018) Peng Zhu et al.   GLOBAL CHANGE BIOLOGY

Mapping water-logging damage on winter wheat at parcel level using high spatial resolution satellite data

(2018) Weiwei Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

(2018) Bo Huang et al.   REMOTE SENSING OF ENVIRONMENT

Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data

(2018) Yaoliang Chen et al.   REMOTE SENSING OF ENVIRONMENT

Increase in crop losses to insect pests in a warming climate

(2018) Curtis A. Deutsch et al.   SCIENCE

Satellite detection of rising maize yield heterogeneity in the U.S. Midwest

(2017) David B Lobell et al.   Environmental Research Letters

Comparing estimates of climate change impacts from process-based and statistical crop models

(2017) David B Lobell et al.   Environmental Research Letters

Comparing and combining process-based crop models and statistical models with some implications for climate change

(2017) Michael J Roberts et al.   Environmental Research Letters

Analysis of climate signals in the crop yield record of sub-Saharan Africa

(2017) Alexis L. Hoffman et al.   GLOBAL CHANGE BIOLOGY

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products

(2016) Yang Zheng et al.   SENSORS

Similar estimates of temperature impacts on global wheat yield by three independent methods

(2016) Bing Liu et al.   Nature Climate Change

A scalable satellite-based crop yield mapper

(2015) David B. Lobell et al.   REMOTE SENSING OF ENVIRONMENT

Near real-time prediction of U.S. corn yields based on time-series MODIS data

(2014) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Limits on Yields in the Corn Belt

(2014) D. R. Ort et al.   SCIENCE

Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest

(2014) D. B. Lobell et al.   SCIENCE

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

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

Temperatures and the growth and development of maize and rice: a review

(2013) Berta Sánchez et al.   GLOBAL CHANGE BIOLOGY

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

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

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

Detecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain

(2013) Linlin Lu et al.   Geocarto International

Heat stress in temperate and tropical maize hybrids: Differences in crop growth, biomass partitioning and reserves use

(2012) Juan I. Rattalino Edreira et al.   FIELD CROPS RESEARCH

Adaptation of US maize to temperature variations

(2012) Ethan E. Butler et al.   Nature Climate Change

Integration of MODIS LAI and vegetation index products with the CSM–CERES–Maize model for corn yield estimation

(2011) Hongliang Fang 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

Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation

(2009) A. J. Challinor et al.   JOURNAL OF EXPERIMENTAL BOTANY

Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change

(2009) W. Schlenker et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

(2008) Christopher Daly et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

(2008) Hongliang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING