Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning

Regional estimation of garlic yield using crop, satellite and climate data in Mexico

(2021) Diego Gómez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

(2021) Vasit Sagan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

(2021) Yuchi Ma et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

(2020) Jichong Han et al.   Remote Sensing

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

(2020) Juan Cao et al.   Remote Sensing

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

(2020) Puyu Feng et al.   AGRICULTURAL AND FOREST METEOROLOGY

Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

(2020) Raí A. Schwalbert et al.   AGRICULTURAL AND FOREST METEOROLOGY

Comparison of MODIS-based vegetation indices and methods for winter wheat green-up date detection in Huanghuai region of China

(2020) Liqin Gan et al.   AGRICULTURAL AND FOREST METEOROLOGY

A remote sensing-based scheme to improve regional crop model calibration at sub-model component level

(2020) Jing Zhang et al.   AGRICULTURAL SYSTEMS

Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China

(2020) Jin Zhao et al.   AGRICULTURAL WATER MANAGEMENT

Application conditions and impact factors for various vegetation indices in constructing the LAI seasonal trajectory over different vegetation types

(2020) Kun Qiao et al.   ECOLOGICAL INDICATORS

Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction

(2020) Luan Peroni Venancio et al.   AGRICULTURAL WATER MANAGEMENT

The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield

(2020) Trenton E. Franz et al.   FIELD CROPS RESEARCH

Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies

(2020) Jenelle White et al.   International Journal of Applied Earth Observation and Geoinformation

Using remote sensing to assess the effect of trees on millet yield in complex parklands of Central Senegal

(2020) L. Leroux et al.   AGRICULTURAL SYSTEMS

Crop yield prediction using machine learning: A systematic literature review

(2020) Thomas van Klompenburg et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Remote sensing products for predicting actual evapotranspiration and water stress footprints under different land cover

(2020) Mohammad Hossein Jahangir et al.   JOURNAL OF CLEANER PRODUCTION

A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

(2020) Dujuan Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships

(2020) Yawogan Jean Eudes Gbodjo et al.   Remote Sensing

Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches

(2020) Juan Cao et al.   AGRICULTURAL AND FOREST METEOROLOGY

A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt

(2020) Jillian M. Deines et al.   REMOTE SENSING OF ENVIRONMENT

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Using paired thermal and hyperspectral aerial imagery to quantify land surface temperature variability and assess crop stress within California orchards

(2019) Sarah W. Shivers et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

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

Effects of climate change on the extension of the potential double cropping region and crop water requirements in Northern China

(2019) Jiqing Gao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Predicting wheat grain yield and spatial variability at field scale using a simple regression or a crop model in conjunction with Landsat images

(2019) Deborah V. Gaso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Validation of Collection 6 MODIS land surface temperature product using in situ measurements

(2019) Si-Bo Duan et al.   REMOTE SENSING OF ENVIRONMENT

Smallholder maize area and yield mapping at national scales with Google Earth Engine

(2019) Zhenong Jin et al.   REMOTE SENSING OF ENVIRONMENT

Assessing consistency of spring phenology of snow-covered forests as estimated by vegetation indices, gross primary production, and solar-induced chlorophyll fluorescence

(2019) Qing Chang et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

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

Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices

(2019) Louise Leroux et al.   EUROPEAN JOURNAL OF AGRONOMY

Improving corn yield prediction across the US Corn Belt by replacing air temperature with daily MODIS land surface temperature

(2019) Timothy Pede et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessing plant production responses to climate across water-limited regions using Google Earth Engine

(2019) Erin L. Bunting et al.   REMOTE SENSING OF ENVIRONMENT

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring drought using composite drought indices based on remote sensing

(2019) Qi Liu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries

(2019) Xingbang Hu et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

(2019) Hao Jiang et al.   GLOBAL CHANGE BIOLOGY

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

Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali

(2019) David B. Lobell et al.   Remote Sensing

Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches

(2019) Liangliang Zhang et al.   Remote Sensing

Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices

(2018) Anikó Kern et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessment of the agro-climatic indices to improve crop yield forecasting

(2018) Jordane A. Mathieu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Machine learning: Overview of the recent progresses and implications for the process systems engineering field

(2018) Jay H. Lee et al.   COMPUTERS & CHEMICAL ENGINEERING

Exploring new spectral bands and vegetation indices for estimating nitrogen nutrition index of summer maize

(2018) Ben Zhao et al.   EUROPEAN JOURNAL OF AGRONOMY

Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments

(2018) Fulu Tao et al.   GLOBAL CHANGE BIOLOGY

Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset

(2018) Bartosz Czernecki et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

(2018) Rasmus Houborg et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Exposure, vulnerability, and adaptation of major maize-growing areas to extreme temperature

(2018) Liangliang Zhang et al.   NATURAL HAZARDS

A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction

(2018) Junshan Wang et al.   NEUROCOMPUTING

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

(2018) Yi Chen et al.   EUROPEAN JOURNAL OF AGRONOMY

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Pursuing sustainable productivity with millions of smallholder farmers

(2018) Zhenling Cui et al.   NATURE

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

(2018) C. Folberth et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessment of red-edge vegetation indices for crop leaf area index estimation

(2018) Taifeng Dong et al.   REMOTE SENSING OF ENVIRONMENT

Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau

(2018) Juan Cao et al.   CATENA

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

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

Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping

(2017) Sylvain Jay et al.   FIELD CROPS RESEARCH

Global evaluation of a semiempirical model for yield anomalies and application to within-season yield forecasting

(2017) Bernhard Schauberger et al.   GLOBAL CHANGE BIOLOGY

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

(2017) Juan Pablo Rivera-Caicedo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating and mapping chlorophyll content for a heterogeneous grassland: Comparing prediction power of a suite of vegetation indices across scales between years

(2017) Alexander Tong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An operational method for the disaggregation of land surface temperature to estimate actual evapotranspiration in the arid region of Chile

(2017) L. Olivera-Guerra et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Satellite-based assessment of yield variation and its determinants in smallholder African systems

(2017) Marshall Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields

(2017) Kaiyu Guan et al.   REMOTE SENSING OF ENVIRONMENT

Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

(2017) George Azzari et al.   REMOTE SENSING OF ENVIRONMENT

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa

(2017) Zhenong Jin et al.   Remote Sensing

Subnational distribution of average farm size and smallholder contributions to global food production

(2016) Leah H Samberg et al.   Environmental Research Letters

Crop yield prediction under soil salinity using satellite derived vegetation indices

(2016) Onur Satir et al.   FIELD CROPS RESEARCH

Test of the MODIS Land Surface Temperature and Emissivity Separation Algorithm With Ground Measurements Over a Rice Paddy

(2016) Cesar Coll et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations

(2016) Christian Folberth et al.   Nature Communications

How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?

(2015) Pin Wang et al.   CLIMATIC CHANGE

Heat stress in cereals: Mechanisms and modelling

(2015) Ehsan Eyshi Rezaei et al.   EUROPEAN JOURNAL OF AGRONOMY

Droughts in a warming climate: A global assessment of Standardized precipitation index (SPI) and Reconnaissance drought index (RDI)

(2015) Mohammad Amin Asadi Zarch et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

A scalable satellite-based crop yield mapper

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

Temperature and drought effects on maize yield

(2014) Bruno Basso et al.   Nature Climate Change

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

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

Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison

(2013) Cynthia Rosenzweig et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

Increasing influence of heat stress on French maize yields from the 1960s to the 2030s

(2012) Ed Hawkins et al.   GLOBAL CHANGE BIOLOGY

Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons

(2012) Jiangui Liu et al.   REMOTE SENSING OF ENVIRONMENT

A soil particle-size distribution dataset for regional land and climate modelling in China

(2011) Wei Shangguan et al.   GEODERMA

Comparison of different vegetation indices for the remote assessment of green leaf area index of crops

(2011) Andrés Viña et al.   REMOTE SENSING OF ENVIRONMENT

Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance

(2010) Y.C. Tian et al.   FIELD CROPS RESEARCH

Modelling the impacts of weather and climate variability on crop productivity over a large area: A new process-based model development, optimization, and uncertainties analysis

(2008) Fulu Tao et al.   AGRICULTURAL AND FOREST METEOROLOGY