D. Lobell

发表

Towards probabilistic projections of climate change impacts on global crop yields

C. Tebaldi, D. Lobell, 2008 .

Food security and food production systems

D. Lobell, J. Porter, Li-yong Xie, 2017 .

Combining satellite imagery and machine learning to predict poverty

Sang Michael Xie, S. Ermon, D. Lobell, 2016, Science.

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

D. Lobell, G. Azzari, Meha Jain, 2017 .

Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index.

D. Lobell, J. Mustard, A. Elmore, 2000 .

Moisture effects on soil reflectance

D. Lobell, G. Asner, 2002 .

Nonlinear heat effects on African maize as evidenced by historical yield trials

D. Lobell, C. Magorokosho, M. Bänziger, 2011 .

A scalable satellite-based crop yield mapper

D. Lobell, D. Thau, B. B. Little, 2015 .

Satellite estimates of productivity and light use efficiency in United States agriculture, 1982–98

C. Tucker, C. Field, D. Lobell, 2002 .

A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico

D. Lobell, P. Matson, L. Sklar, 2003 .

A Biogeophysical Approach for Automated SWIR Unmixing of Soils and Vegetation

D. Lobell, G. Asner, 2000 .

A meta-analysis of crop yield under climate change and adaptation

D. Lobell, A. Challinor, S. Howden, 2014 .

Rising Temperatures Reduce Global Wheat Production

Jeffrey W. White, L. A. Hunt, C. Müller, 2015 .

Cropland distributions from temporal unmixing of MODIS data

D. Lobell, G. Asner, 2004 .

Subpixel canopy cover estimation of coniferous forests in Oregon using SWIR imaging spectrometry

David B. Lobell, Gregory P. Asner, Robert N. Treuhaft, 2001 .

View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS

D. Lobell, B. Law, G. Asner, 2002 .

Global scale climate–crop yield relationships and the impacts of recent warming

C. Field, D. Lobell, 2007, Environmental Research Letters.

Combined climate and carbon-cycle effects of large-scale deforestation

K. Caldeira, D. B. Lobell, T. Phillips, 2006, Proceedings of the National Academy of Sciences.

Greater Transportation Energy and GHG Offsets from Bioelectricity Than Ethanol

C. Field, D. Lobell, J. Campbell, 2009, Science.

Temperature increase reduces global yields of major crops in four independent estimates

C. Müller, P. Ciais, J. Elliott, 2017, Proceedings of the National Academy of Sciences.

Shifts in African crop climates by 2050, and the implications for crop improvement and genetic resources conservation

David B. Lobell, Luigi Guarino, Marshall Burke, 2009 .

The shifting influence of drought and heat stress for crops in northeast Australia

D. Lobell, G. Hammer, K. Chenu, 2015, Global change biology.

The global potential of bioenergy on abandoned agriculture lands.

Christopher B Field, Robert C Genova, David B Lobell, 2008, Environmental science & technology.

Seasonal energy storage using bioenergy production from abandoned croplands

C. Field, D. Lobell, J. Campbell, 2013 .

Prioritizing Climate Change Adaptation Needs for Food Security in 2030

C. Tebaldi, D. Lobell, M. Burke, 2008, Science.

Climate Trends and Global Crop Production Since 1980

D. Lobell, W. Schlenker, Justin Costa-Roberts, 2011, Science.

California perennial crops in a changing climate

C. Field, D. Lobell, 2011 .

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

Martha C. Anderson, S. Frolking, Bo Li, 2016 .

Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence

D. Lobell, L. Guanter, J. Berry, 2016, Global change biology.

Projected temperature changes indicate significant increase in interannual variability of U.S. maize yields

D. Lobell, W. Schlenker, M. Roberts, 2012, Climatic Change.

The critical role of extreme heat for maize production in the United States

D. Lobell, W. Schlenker, G. Hammer, 2013 .

Extreme heat effects on wheat senescence in India

J. I. Ortiz-Monasterio, D. Lobell, A. Sibley, 2012 .

Unprecedented rates of land-use transformation in modelled climate change mitigation pathways

C. Field, D. Lobell, D. Sanchez, 2017, Nature Sustainability.

Climate variability and crop production in Tanzania

D. Lobell, N. Ramankutty, M. Linderman, 2011 .

Warming increases the risk of civil war in Africa

D. Lobell, J. Dykema, M. Burke, 2009, Proceedings of the National Academy of Sciences.

The Poverty Implications of Climate-Induced Crop Yield Changes by 2030

D. Lobell, M. Burke, T. Hertel, 2010, GTAP Working Paper.

Robust negative impacts of climate change on African agriculture

D. Lobell, W. Schlenker, 2010, Environmental Research Letters.

Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring

D. Lobell, G. Azzari, 2017 .

An assessment of wheat yield sensitivity and breeding gains in hot environments

D. Lobell, J. Crossa, K. Mathews, 2013, Proceedings of the Royal Society B: Biological Sciences.

Agricultural Adaptation to Climate Change in Rich and Poor Countries: Current Modeling Practice and Potential for Empirical Contributions

D. Lobell, T. Hertel, 2012, GTAP Working Paper.

On the use of statistical models to predict crop yield responses to climate change

D. Lobell, M. Burke, 2010 .

Errors in climate datasets and their effects on statistical crop models

D. Lobell, 2013 .

The Influence of Climate Change on Global Crop Productivity1

D. Lobell, S. Gourdji, 2012, Plant Physiology.

Crop yield gaps: their importance, magnitudes, and causes.

C. Field, D. Lobell, K. Cassman, 2009 .

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

D. Lobell, M. Burke, 2017, Proceedings of the National Academy of Sciences.

Climate and Management Contributions to Recent Trends in U.S. Agricultural Yields

D. Lobell, G. Asner, 2003, Science.

Crop Responses to Climate: Time-Series Models

D. Lobell, 2010 .

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

D. Lobell, S. Asseng, 2017, Environmental Research Letters.

The impacts of future climate and carbon dioxide changes on the average and variability of US maize yields under two emission scenarios

D. Lobell, J. Sheffield, D. Urban, 2015 .

Reduction of transpiration and altered nutrient allocation contribute to nutrient decline of crops grown in elevated CO(2) concentrations.

D. Lobell, J. McGrath, 2013, Plant, cell & environment.

Yield trends under varying environmental conditions for sorghum and wheat across Australia

D. Lobell, G. Hammer, A. Potgieter, 2016 .

Satellite detection of earlier wheat sowing in India and implications for yield trends

J. I. Ortiz-Monasterio, D. Lobell, A. Sibley, 2013 .

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

D. Lobell, W. Schlenker, G. Hammer, 2014, Science.

Biomass energy: the scale of the potential resource.

C. Field, D. Lobell, J. Campbell, 2008, Trends in ecology & evolution.

Radically Rethinking Agriculture for the 21st Century

C. N. Hodges, D. Lobell, N. Fedoroff, 2010, Science.

Relative importance of soil and climate variability for nitrogen management in irrigated wheat

J. I. Ortiz-Monasterio, D. Lobell, G. Asner, 2004 .

Evaluation of soil-dependent crop yield outcomes in Nepal using ground and satellite-based approaches

D. Lobell, S. Maharjan, J. Campolo, 2019 .

Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches

D. Lobell, G. Azzari, Zhenong Jin, 2017 .

Crop yields in a geoengineered climate

Ken Caldeira, David B. Lobell, Julia Pongratz, 2012 .

Biogeophysical impacts of cropland management changes on climate

Philip B. Duffy, David B. Lobell, Govindasamy Bala, 2006 .

Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties

David B. Lobell, Gregory P. Asner, J. I. Ortiz-Monasterio, 2003 .

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

David B. Lobell, Stefania Di Tommaso, George Azzari, 2019, Remote Sensing of Environment.

Strengthened scientific support for the Endangerment Finding for atmospheric greenhouse gases

N. Diffenbaugh, A. P. Williams, C. Field, 2019, Science.

Regional Differences in the Influence of Irrigation on Climate

David B. Lobell, Govindasamy Bala, Reed M. Maxwell, 2009 .

Contribution of persistent factors to yield gaps in high-yield irrigated maize

Bhupinder S. Farmaha, D. Lobell, K. Cassman, 2016 .

Assessing the heterogeneity and persistence of farmers’ maize yield performance across the North China Plain

D. Lobell, Yi Zhao, 2017 .

Per-Pixel Analysis of Forest Structure

David B. Lobell, Gregory P. Asner, Jeffrey A. Hicke, 2003 .

Rotation Effects on Corn and Soybean Yield Inferred from Satellite and Field‐level Data

D. Lobell, G. Azzari, A. A. B. Cohen, 2019, Agronomy Journal.

Direct impacts on local climate of sugar-cane expansion in Brazil

Christopher B. Field, David B. Lobell, Gregory P. Asner, 2011 .

Analysis of wheat yield and climatic trends in Mexico

David B. Lobell, Gregory P. Asner, Pamela A. Matson, 2005 .

Remote sensing assessment of regional yield losses due to sub-optimal planting dates and fallow period weed management

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2007 .

Combining Field Surveys, Remote Sensing, and Regression Trees to Understand Yield Variations in an Irrigated Wheat Landscape

J. I. Ortiz-Monasterio, D. Lobell, G. Asner, 2005, Agronomy Journal.

An approach to understanding persistent yield variation—A case study in North China Plain

D. Lobell, Xin-ping Chen, Yi Zhao, 2016 .

Satellite evidence for yield growth opportunities in Northwest India

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2010 .

Satellite monitoring of yield responses to irrigation practices across thousands of fields

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2008 .

Evaluating strategies for improved water use in spring wheat with CERES

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2006 .

From sunlight to seed: Assessing limits to solar radiation capture and conversion in agro-ecosystems

José F. Andrade, D. Lobell, G. Azzari, 2020 .

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

David B. Lobell, Michael J. Roberts, D. Lobell, 2017 .

Feedbacks of Terrestrial Ecosystems to Climate Change

Christopher B. Field, David B. Lobell, C. Field, 2007 .

Impacts of future climate change on California perennial crop yields: Model projections with climate and crop uncertainties

Christopher B. Field, David B. Lobell, Céline Bonfils, 2006, Agricultural and Forest Meteorology.

Factors Constraining Timely Sowing of Wheat as an Adaptation to Climate Change in Eastern India

Amit K. Srivastava, Balwinder-Singh, D. Lobell, 2020, Weather, Climate, and Society.

Climate change uncertainty for daily minimum and maximum temperatures: A model inter‐comparison

Philip B. Duffy, David B. Lobell, Céline Bonfils, 2006 .

Impacts of Day Versus Night Temperatures on Spring Wheat Yields: A Comparison of Empirical and CERES Model Predictions in Three Locations

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2007 .

The COVID-19 lockdowns: a window into the Earth System

J. Randerson, N. Diffenbaugh, S. Seneviratne, 2020, Nature Reviews Earth & Environment.

James W. Jones, Jeffrey W. White, C. Müller, 2016 .

Differences, or lack thereof, in wheat and maize yields under three low-warming scenarios

C. Tebaldi, D. Lobell, 2018 .

Estimated impacts of emission reductions on wheat and maize crops

C. Tebaldi, D. Lobell, 2015, Climatic Change.

The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

Jeffrey W. White, L. A. Hunt, C. Müller, 2018 .

The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Jeffrey W. White, L. A. Hunt, C. Müller, 2017 .

The global overlap of bioenergy and carbon sequestration potential

C. Field, D. Lobell, S. Benson, 2018, Climatic Change.

Climate change and food security : adapting agriculture to a warmer world

David B. Lobell, Marshall Burke, D. Lobell, 2010 .

Robust features of future climate change impacts on sorghum yields in West Africa

David B. Lobell, Graeme L. Hammer, Greg McLean, 2014 .

Reply to 'Temperature and drought effects on maize yield'

D. Lobell, W. Schlenker, G. Hammer, 2014 .

Atmospheric Climate Model Experiments Performed at Multiple Horizontal Resolutions

T. Phillips, D. Lobell, R. Maxwell, 2007 .

Incorporating Climate Uncertainty into Estimates of Climate Change Impacts

D. Lobell, J. Dykema, M. Burke, 2011, Review of Economics and Statistics.

Potential impact of U.S. biofuels on regional climate

C. Field, D. Lobell, M. Georgescu, 2009 .

Update on Climate Change and Global Crop Productivity The In fl uence of Climate Change on Global Crop Productivity 1

D. Lobell, S. Gourdji, 2012 .

Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda

D. Lobell, Talip Kilic, S. Gourlay, 2017 .

On the role of anthropogenic climate change in the emerging food crisis in southern Africa in the 2019–2020 growing season

D. Stone, D. Lobell, P. Wolski, 2020, Global change biology.

Climate Effects on Food Security: An Overview

D. Lobell, M. Burke, 2010 .

Chapter 2 Climate Effects on Food Security : An Overview

D. Lobell, M. Burke, 2010 .

Tradeoffs and Synergies between biofuel production and large solar infrastructure in deserts.

Christopher B Field, David B Lobell, Sujith Ravi, 2014, Environmental science & technology.

Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest

David B Lobell, Zhenong Jin, D. Lobell, 2018, Global change biology.

The fingerprint of climate trends on European crop yields

David B Lobell, D. Lobell, F. Moore, 2014, Proceedings of the National Academy of Sciences.

Reply to Gonsamo and Chen: Yield findings independent of cause of climate trends

D. Lobell, F. Moore, 2015, Proceedings of the National Academy of Sciences.

Globally ubiquitous negative effects of nitrogen dioxide on crop growth

D. Lobell, J. Burney, Stefania Di Tommaso, 2022, Science advances.

Climate robustly linked to African civil war

D. Lobell, J. Dykema, M. Burke, 2010, Proceedings of the National Academy of Sciences.

Perennial questions of hydrology and climate.

D. Lobell, M. Georgescu, 2010, Science.

Seasonal energy storage using bioenergy production from abandoned croplands

C. Field, D. Lobell, J. Campbell, 2013 .

Economic impacts of climate change on agriculture: a comparison of process-based and statistical yield models

A. Crimmins, C. Müller, J. Elliott, 2017 .

Response to Comment on "Climate and Management Contributions to Recent Trends in U.S. Agricultural Yields"

D. Lobell, G. Asner, 2003, Science.

Reply to Sutton et al.: Relationship between temperature and conflict is robust

D. Lobell, J. Dykema, M. Burke, 2010, Proceedings of the National Academy of Sciences.

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

S. Ermon, D. Lobell, M. Burke, 2022, Neural Information Processing Systems.

Food Security and Adaptation to Climate Change: What Do We Know?

D. Lobell, M. Burke, 2010 .

Crop yields in a geoengineered climate. Nature Clim Chang 2:101-105

D. Lobell, K. Caldeira, J. Pongratz, 2012 .

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

Walter T. Dado, D. Lobell, J. Deines, 2021 .

Anticipated burden and mitigation of carbon-dioxide-induced nutritional deficiencies and related diseases: A simulation modeling study

D. Lobell, M. Burke, M. Brandeau, 2018, PLoS medicine.

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

D. Lobell, G. Azzari, 2017 .

Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive

D. Lobell, J. Deines, Sherrie Wang, 2020, Scientific data.

in hot environments An assessment of wheat yield sensitivity and breeding gains

D. Lobell, J. Crossa, K. Mathews, 2012 .

Effect of vineyard-scale climate variability on Pinot noir phenolic composition

K. Nicholas, C. Field, D. Lobell, 2011 .

Climate Change and Food Security

D. Lobell, M. Burke, 2010 .

ShiftsinAfricancropclimatesby2050,andtheimplicationsforcropimprovement and genetic resources conservation

D. Lobell, M. Burke, L. Guarino, 2009 .

Biophysical and Economic Uncertainty in the Analysis of Poverty Impacts of Climate Change

D. Lobell, T. Hertel, M. Verma, 2011 .

Higher levels of no-till agriculture associated with lower PM2.5 in the Corn Belt

D. Lobell, A. Behrer, 2022, Environmental Research Letters.

The case of the missing wheat

D. Lobell, 2012 .

Using satellite remote sensing to understand maize yield gaps in the North China Plain

David B. Lobell, Zhenling Cui, D. Lobell, 2015 .

Climate and Social Stress: Implications for Security Analysis

D. Lobell, T. Fingar, Thomas Fingar, 2012 .

Interpreting recent temperature trends in California

D. Lobell, P. Duffy, C. Bonfils, 2007 .

Temperature and violence

Kyle C. Meng, D. Lobell, M. Burke, 2014 .

Summary for Policy Makers: Working group 11 contribution to the fifth assessment report of the Intergovernmental panel on Climate Change

Roger Jones, Christopher B. Field, Bruce A. McCarl, 2014 .

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

S. Ermon, D. Lobell, M. Burke, 2022, NeurIPS.

A walk on the wild side

D. Lobell, L. Guarino, 2011 .

Water Use Efficiency as a Constraint and Target for Improving the Resilience and Productivity of C3 and C4 Crops.

D. Lobell, G. Hammer, A. Leakey, 2019, Annual review of plant biology.

Climate and Civil War: Is the Relationship Robust?

D. Lobell, J. Dykema, M. Burke, 2010 .

With big data come big problems: pitfalls in measuring basis risk for crop index insurance

D. Lobell, Andrew Hobbs, M. Stigler, 2022, 2209.14611.

Recent cover crop adoption is associated with small maize and soybean yield losses in the United States

D. Lobell, K. Guan, J. Deines, 2022, Global change biology.

A new spin on an old debate: Errors in farmer-reported production and their implications for inverse scale - Productivity relationship in Uganda

David B. Lobell, Sydney Gourlay, Talip Kilic, 2019, Journal of Development Economics.

Eyes in the Sky, Boots on the Ground: Assessing Satellite‐ and Ground‐Based Approaches to Crop Yield Measurement and Analysis

Siobhan Murray, George Azzari, Sydney Gourlay, 2018, American Journal of Agricultural Economics.

Colocation opportunities for large solar infrastructures and agriculture in drylands

Christopher B. Field, Michael Elchinger, David B. Lobell, 2016 .

Identification of saline soils with multiyear remote sensing of crop yields

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2006 .

Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms

Weiqi Zhou, David B. Lobell, Preeti Rao, 2021, Remote. Sens..

Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions pdf

David B. Lobell, Sherrie Wang, Dan M. Kluger, 2021, ArXiv.

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

David B. Lobell, Sherrie Wang, George Azzari, 2019, Remote Sensing of Environment.

Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data

David B. Lobell, Balwinder Singh, Meha Jain, 2016, Remote. Sens..

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

David B. Lobell, Sherrie Wang, Stefania Di Tommaso, 2020, Remote. Sens..

Land-Cover and Surface Water Change Drive Large Albedo Increases in South America*

Christopher B. Field, David B. Lobell, Gregory P. Asner, 2011 .

Using satellite data to identify the causes of and potential solutions for yield gaps in India’s Wheat Belt

David B. Lobell, Amit K. Srivastava, Meha Jain, 2017 .

Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields

David B. Lobell, Kenneth G. Cassman, Patricio Grassini, 2014 .

The use of satellite data for crop yield gap analysis

David B. Lobell, D. Lobell, 2013 .

Center on Food Security and the Environment Stanford Symposium Series on Global Food Policy and Food Security in the 21 st Century Climate Change and Agricultural Adaptation

D. Lobell, 2012 .

Anthropogenic climate change has slowed global agricultural productivity growth

D. Lobell, T. Ault, Ariel Ortiz-Bobea, 2021, Nature Climate Change.

Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections

David B. Lobell, Adam M. Sibley, D. Lobell, 2013 .

Estimation of the carbon dioxide (CO2) fertilization effect using growth rate anomalies of CO2 and crop yields since 1961

C. Field, D. Lobell, 2007 .

Getting caught with our plants down: the risks of a global crop yield slowdown from climate trends in the next two decades

C. Tebaldi, D. Lobell, 2014 .

Continuous Corn and Soybean Yield Penalties across Hundreds of Thousands of Fields

D. Lobell, M. Roberts, C. Seifert, 2017 .

Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico

Gregory Asner, David B. Lobell, D. Lobell, 2003, IEEE Trans. Geosci. Remote. Sens..

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

Senthold Asseng, David B. Lobell, Jian Peng, 2018, Agricultural and Forest Meteorology.

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data

Stefano Ermon, Jiaxuan You, Xiaocheng Li, 2017, AAAI.

NBER WORKING PAPER SERIES USING SATELLITE IMAGERY TO UNDERSTAND AND PROMOTE SUSTAINABLE DEVELOPMENT pdf

Anne Driscoll, Stefano Ermon, Marshall Burke, 2020 .

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Anne Driscoll, Stefano Ermon, Marshall Burke, 2020, Nature Communications.

Assessing climate adaptation options and uncertainties for cereal systems in West Africa

D. Lobell, K. Guan, M. Biasutti, 2015 .

Changes in diurnal temperature range and national cereal yields

D. Lobell, 2007 .

James W. Jones, Jeffrey W. White, G. Hoogenboom, 2016, Nature Climate Change.

Greenhouse gas mitigation by agricultural intensification

David B Lobell, Steven J Davis, D. Lobell, 2010, Proceedings of the National Academy of Sciences.

Historical effects of temperature and precipitation on California crop yields

C. Field, D. Lobell, Kimberly Nicholas Cahill, 2007 .

Response of double cropping suitability to climate change in the United States

David B. Lobell, Christopher A. Seifert, D. Lobell, 2015, Environmental Research Letters.

Combining randomized field experiments with observational satellite data to assess the benefits of crop rotations on yields

David B. Lobell, Art B. Owen, Dan M. Kluger, 2021, Environmental Research Letters.

Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation

David B. Lobell, Marshall Burke, D. Lobell, 2008, Environmental Research Letters.

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

Stefano Ermon, David B. Lobell, Sang Michael Xie, 2015, AAAI.

Efficient Poverty Mapping from High Resolution Remote Sensing Images

Stefano Ermon, David B. Lobell, Marshall Burke, 2021, AAAI.

Geography-Aware Self-Supervised Learning

S. Ermon, D. Lobell, M. Burke, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Regional disparities in the CO2 fertilization effect and implications for crop yields

D. Lobell, J. McGrath, 2013 .

Changes in the drought sensitivity of US maize yields

D. Lobell, S. Tommaso, J. Deines, 2020, Nature Food.

Tile2Vec: Unsupervised representation learning for spatially distributed data

Stefano Ermon, David B. Lobell, Sherrie Wang, 2018, AAAI.

Remote sensing of soil degradation: introduction.

David B Lobell, D. Lobell, 2010, Journal of environmental quality.

Hot spots of wheat yield decline with rising temperatures

Senthold Asseng, Bruno Basso, Kai Sonder, 2017, Global change biology.

Uniting remote sensing, crop modelling and economics for agricultural risk management

D. Lobell, R. Hijmans, Aniruddha Ghosh, 2021, Nature Reviews Earth & Environment.

Rising

D. Lobell, 2020, Roze & Blud.

Regional importance of crop yield constraints: Linking simulation models and geostatistics to interpret spatial patterns

David B. Lobell, J. I. Ortiz-Monasterio, J. Ivan Ortiz-Monasterio, 2006 .

The impact of groundwater depletion on agricultural production in India

D. Lobell, Meha Jain, N. Bhattarai, 2021, Environmental Research Letters.

Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates

David B. Lobell, Stefania Di Tommaso, Marshall Burke, 2021, Remote. Sens..

Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data

Stefano Ermon, David B. Lobell, Anna X. Wang, 2018, COMPASS.

Using remotely sensed temperature to estimate climate response functions

D. Lobell, M. Burke, S. Heft-Neal, 2017 .

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa

David B. Lobell, George Azzari, Marshall Burke, 2017, Remote. Sens..

The Historical Impact of Anthropogenic Climate Change on Global Agricultural Productivity

D. Lobell, R. Chambers, T. Ault, 2020, 2007.10415.

Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision pdf

David B. Lobell, Sherrie Wang, Francois Waldner, 2022, Remote. Sens..

Direct climate effects of perennial bioenergy crops in the United States

Christopher B Field, Matei Georgescu, David B Lobell, 2011, Proceedings of the National Academy of Sciences.

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks

Stefano Ermon, Marshall Burke, Burak Uzkent, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods

Stefano Ermon, Lijing Wang, Marshall Burke, 2019, CVPR Workshops.

Laboratory and Field Measurements

D. Lobell, D. Corwin, S. Lesch, 2013 .

Satellite detection of cover crops and their effects on crop yield in the Midwestern United States

David B. Lobell, George Azzari, Christopher A. Seifert, 2018, Environmental Research Letters.

Feedbacks of Terrestrial Ecosystems to Climate

C. Field, D. Lobell, N. Chiariello, 2007 .

Growing sensitivity of maize to water scarcity under climate change

D. Lobell, Xin-ping Chen, Z. Cui, 2016, Scientific Reports.

Evaluating the Contribution of Weather to Maize and Wheat Yield Trends in 12 U.S. Counties

D. Lobell, G. Maltais-Landry, G. Maltais‐Landry, 2012 .

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

David B. Lobell, Sang Michael Xie, Sherrie Wang, 2020, Remote. Sens..

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

P. Ciais, D. Lobell, D. Makowski, 2018, Global change biology.

Mapping Sugarcane in Central India with Smartphone Crowdsourcing

D. Lobell, J. Y. Lee, S. Gorelick, 2022, Remote. Sens..

Adaptation potential of European agriculture in response to climate change

D. Lobell, F. Moore, 2014 .

Climate change adaptation in crop production: Beware of illusions

David B. Lobell, D. Lobell, 2014 .

High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data

David B. Lobell, Walter T. Dado, Jillian M. Deines, 2020, Remote. Sens..

Regional-scale assessment of soil salinity in the Red River Valley using multi-year MODIS EVI and NDVI.

J A Doolittle, D. Lobell, D. Corwin, 2010, Journal of environmental quality.

What aspects of future rainfall changes matter for crop yields in West Africa?

D. Lobell, K. Guan, M. Biasutti, 2015 .

Meta-Learning for Few-Shot Land Cover Classification

Marc Rußwurm, David B. Lobell, Sherrie Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt

D. Lobell, J. Deines, Sherrie Wang, 2019, Environmental Research Letters.

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery

Stefano Ermon, David B. Lobell, Marshall Burke, 2021, AAAI.

Generating Interpretable Poverty Maps using Object Detection in Satellite Images

S. Ermon, D. Lobell, M. Burke, 2020, IJCAI.

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery

Stefano Ermon, Wenjie Hu, Zhongyi Tang, 2019, AIES.

Understanding economic development in rural Africa using satellite imagery, building footprints and deep models

S. Ermon, D. Lobell, M. Burke, 2022, SIGSPATIAL/GIS.

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

S. Ermon, D. Lobell, M. Burke, 2021, NeurIPS.

Scalable deep learning to identify brick kilns and aid regulatory capacity

Stefano Ermon, David B. Lobell, Stephen P. Luby, 2021, Proceedings of the National Academy of Sciences.

Predicting Livelihood Indicators from Crowdsourced Street Level Images pdf

Stefano Ermon, David B. Lobell, Sicheng Zeng, 2020, ArXiv.

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

Xiao Chen, Stefano Ermon, David B. Lobell, 2018, KDD.

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning pdf

Stefano Ermon, David B. Lobell, Chenlin Meng, 2021, NeurIPS Datasets and Benchmarks.

Predicting Economic Development using Geolocated Wikipedia Articles

Stefano Ermon, Chenlin Meng, Evan Sheehan, 2019, KDD.

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

S. Ermon, D. Lobell, M. Burke, 2020, Nature Communications.

Prior crop season management constrains farmer adaptation to warming temperatures: Evidence from the Indo-Gangetic Plains

D. Lobell, Meha Jain, R. Fishman, 2021, Science of The Total Environment.

Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020

D. Lobell, S. Archontoulis, A. Swatantran, 2023, Remote Sensing of Environment.

IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling pdf

Stefano Ermon, Willie Neiswanger, Chenlin Meng, 2021, AAAI.

Soil, climate, and management impacts on regional wheat productivity in Mexico from remote sensing

J. I. Ortiz-Monasterio, D. Lobell, G. Asner, 2002 .

How much will precision nitrogen management pay off? An evaluation based on simulating thousands of corn fields over the US Corn-Belt

David B. Lobell, Sotirios V. Archontoulis, Zhenong Jin, 2019, Field Crops Research.

Chapter 7: Food Security and Food Production Systems

D. Lobell, A. Challinor, K. Cochrane, 2014 .

Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach pdf

Chenxi Lin, David B. Lobell, Liheng Zhong, 2021, Remote Sensing of Environment.

Building Coverage Estimation with Low-resolution Remote Sensing Imagery

S. Ermon, D. Lobell, Chenlin Meng, 2023, ArXiv.

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution

S. Ermon, D. Lobell, M. Burke, 2022, ArXiv.

Learning to Interpret Satellite Images Using Wikipedia

Stefano Ermon, Chenlin Meng, Evan Sheehan, 2018, IJCAI.

The Effect of Irrigation on Regional Temperatures: A Spatial and Temporal Analysis of Trends in California, 1934–2002

David B. Lobell, Céline Bonfils, D. Lobell, 2008 .

Climate adaptation as mitigation: the case of agricultural investments

D. Lobell, T. Hertel, U. Baldos, 2013, Environmental Research Letters.

The challenge to detect and attribute effects of climate change on human and natural systems

Gerrit Hansen, David Lobell, Wolfgang Cramer, 2013, Climatic Change.

Lawrence Berkeley National Laboratory Recent Work Title The challenge to detect and attribute effects of climate change on human and natural systems Permalink

A. Solow, D. Lobell, M. Auffhammer, 2013 .

Impacts of precipitation and temperature on crop yields in the Pampas

David B. Lobell, Santiago R. Verón, Diego de Abelleyra, 2015, Climatic Change.

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

David B. Lobell, Stefania Di Tommaso, Sherrie Wang, 2021, Environmental Research Letters.

Empirical evidence for a recent slowdown in irrigation-induced cooling

David Lobell, Céline Bonfils, D. Lobell, 2007, Proceedings of the National Academy of Sciences.

Incorporating Climate Uncertainty into Estimates of Climate Change Impacts

David B. Lobell, Edward Miguel, Marshall Burke, 2015, Review of Economics and Statistics.

Narrowing the agronomic yield gap with improved nitrogen use efficiency: a modeling approach.

J. I. Ortiz-Monasterio, D. Lobell, P. Matson, 2010, Ecological applications : a publication of the Ecological Society of America.

Global and Regional Assessments

D. Lobell, M. Burke, 2010 .

Reduced benefits of climate-smart agricultural policies from land-use spillovers

Nelson B. Villoria, D. Lobell, N. Villoria, 2023, Nature Sustainability.

Estimation of the CO2 fertilization effect using growth rate anomalies of CO2 and crop yields since 1961

C. Field, D. Lobell, 2008 .

Potential bias of model projected greenhouse warming in irrigated regions

D. Lobell, G. Bala, P. Duffy, 2006 .

Pharaoh's Dream Revisited: An Integrated US Midwest Field Research Network for Climate Adaptation

P. Raven, D. Lobell, G. Robertson, 2016 .

AutoSWIR: A SPECTRAL UNMIXING ALGORITHM USING 2000-2400 nm ENDMEMBERS AND MONTE CARLO ANALYSIS

D. Lobell, G. Asner, 2000 .

A Summary of the CMIP5 Experiment Design

Veronika Eyring, David B. Lobell, Chris Jones, 2010 .

The benefits of recent warming for maize production in high latitude China

D. Lobell, Xin-ping Chen, Z. Cui, 2013, Climatic Change.

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty pdf

Stefano Ermon, David B. Lobell, Swetava Ganguli, 2019, ArXiv.

Climate extremes in California agriculture

C. Field, D. Lobell, Angela Torney, 2011 .

Climate Volatility and Poverty Vulnerability in Tanzania

N. Diffenbaugh, D. Lobell, N. Ramankutty, 2009 .

Irrigation cooling effect on temperature and heat index extremes

David B. Lobell, Lara M. Kueppers, Mark A. Snyder, 2008 .

Cropland Area and Net Primary Production Computed from 30 Years of USDA Agricultural Harvest Data

D. Lobell, J. Hicke, G. Asner, 2004 .

An independent method of deriving the carbon dioxide fertilization effect in dry conditions using historical yield data from wet and dry years

D. Lobell, J. McGrath, 2011 .

Yield uncertainty at the field scale evaluated with multi-year satellite data

J. I. Ortiz-Monasterio, D. Lobell, W. Falcon, 2007 .

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

David B. Lobell, Stefania Di Tommaso, Marshall Burke, 2019, Remote. Sens..

Spatiotemporal patterns of cropland area and net primary production in the central United States estimated from USDA agricultural information

D. Lobell, J. Hicke, 2004 .

Satellite mapping of tillage practices in the North Central US region from 2005 to 2016

David B. Lobell, Patricio Grassini, George Azzari, 2019, Remote Sensing of Environment.

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning pdf

Stefano Ermon, David B. Lobell, George Azzari, 2017, ArXiv.

Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning

Stefano Ermon, David B. Lobell, Reid Pryzant, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Identification of external influences on temperatures in California

B. Santer, T. Wigley, T. Phillips, 2008 .

Commodity Prices and Volatility in Response to Anticipated Climate Change

D. Lobell, W. Schlenker, M. Roberts, 2012 .

Simulated hydroclimatic impacts of projected Brazilian sugarcane expansion

C. Field, D. Lobell, M. Georgescu, 2013 .

The Role of Irrigation Expansion in Past and Future Temperature Trends

David B. Lobell, Celine Bonfils, D. Lobell, 2008 .

Synthesis and Review: an inter-method comparison of climate change impacts on agriculture

D. Lobell, J. Císcar, K. Fisher-Vanden, 2018, Environmental Research Letters.

Evaluating maize yield response to fertilizer and soil in Mexico using ground and satellite approaches

D. Lobell, I. Ortiz-Monasterio, J. Campolo, 2022, Field Crops Research.

US maize adaptability

D. Lobell, W. Schlenker, M. Roberts, 2013 .

Climate Change 2014

Christopher B. Field, Bruce A. McCarl, David B. Lobell, 2015 .

An assessment of wheat breeding gains in hot environments

D. Lobell, M. Reynolds, J. Crossa, 2012 .

Corrigendum: Satellite detection of cover crops and their effects on crop yield in the Midwestern United States (2018 Environ. Res. Let. 13 064033)

D. Lobell, G. Azzari, C. Seifert, 2019, Environmental Research Letters.

Eyes in the Sky, Boots on the Ground: Assessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis in Uganda

Siobhan Murray, George Azzari, Sydney Gourlay, 2018 .

Efficient Poverty Mapping using Deep Reinforcement Learning pdf

Stefano Ermon, Burak Uzkent, David Lobell, 2020, ArXiv.

A walk on the wild side

D. Lobell, L. Guarino, 2011 .

The impact of agricultural interventions can be doubled by using satellite data

David B. Lobell, Preeti Rao, George Azzari, 2019, Nature Sustainability.

The cost of uncertainty for nitrogen fertilizer management: A sensitivity analysis

David B. Lobell, D. Lobell, 2007 .

Optimal index insurance and basis risk decomposition: an application to Kenya

D. Lobell, M. Stigler, 2021, American Journal of Agricultural Economics.

On the benefits of index insurance in US agriculture: a large-scale analysis using satellite data.

D. Lobell, M. Stigler, 2020, 2011.12544.

Food security and food production systems

D. Lobell, J. Porter, A. Challinor, 2014 .

Soil micronutrients linked to human health in India

D. Lobell, H. Pullabhotla, Leah E M Bevis, 2023, Scientific reports.

Sustainable irrigation and climate feedbacks

D. Lobell, Yong Zhu, N. Mueller, 2023, Nature Food.

Historical effects of CO2 and climate trends on global crop water demand

D. Lobell, J. Sheffield, D. Urban, 2017, Nature Climate Change.

Learning to Interpret Satellite Images in Global Scale Using Wikipedia pdf

Stefano Ermon, Chenlin Meng, Evan Sheehan, 2019, ArXiv.

Agricultural Research and Management at the Field Scale

D. Lobell, I. Ortiz-Monasterio, 2012 .

Getting Ahead of the Curve: Supporting Adaptation to Long-term Getting Ahead of the Curve: Supporting Adaptation to Long-term Climate Change and Short-term Climate Variability Alike Climate Change and Short-term Climate Variability Alike

D. Lobell, Alexis Saba, Michael B. Gerrard, 2022 .

Hierarchical modeling of seed variety yields and decision making for future planting plans

Stefano Ermon, Margaret L. Brandeau, Xiaocheng Li, 2017, Environment Systems and Decisions.

Cleaner air has contributed one-fifth of US maize and soybean yield gains since 1999

D. Lobell, J. Burney, 2021, Environmental Research Letters.

Remote sensing of soil degradation: introduction.

D. Lobell, 2010, Journal of environmental quality.

References and Notes Supporting Online Material Materials and Methods Figs. S1 and S2 Tables S1 and S2 References Prioritizing Climate Change Adaptation Needs for Food Security in 2030

C. Tebaldi, D. Lobell, M. Burke, 2022 .

Satellite‐Based Detection of Salinity and Sodicity Impacts on Wheat Production in the Mexicali Valley

J. I. Ortiz-Monasterio, D. Lobell, C. Seifert, 2011 .

Hyperion Studies Of Crop Stress In Mexico

David B. Lobell, Gregory P. Asner, D. Lobell, 2004 .

Using satellite imagery to understand and promote sustainable development

D. Lobell, M. Burke, Anne Driscoll, 2019, Science.

Tile2Vec: Unsupervised representation learning for remote sensing data

D. Lobell, Neal Jean, G. Azzari, 2018 .

1 Incorporating Climate Uncertainty into Estimates of Climate Change Impacts

D. Lobell, J. Dykema, M. Burke, 2012 .

Climate and Crop Yields in Australia, Brazil, China, Europe and the United States

D. Lobell, S. Hsiang, W. Schlenker, 2013 .

NBER WORKING PAPER SERIES INCORPORATING CLIMATE UNCERTAINTY INTO ESTIMATES OF CLIMATE CHANGE IMPACTS, WITH APPLICATIONS TO U.S. AND AFRICAN AGRICULTURE

D. Lobell, J. Dykema, M. Burke, 2011 .

Methodology to link production and environmental risks of precision nitrogen management strategies in corn

Brian L. Steward, William D. Batchelor, Joel O. Paz, 2006 .

Generating crop calendars with Web search data

Steffen Fritz, Michael Obersteiner, Linda See, 2012 .

Comment on "Methodology and results of calculating Central California surface temperature trends: evidence of human-induced climate change?" by Christy et al. (2006)

D. Lobell, P. Duffy, C. Bonfils, 2006 .

Historical climate trends, deforestation, and maize and bean yields in Nicaragua

D. Lobell, P. Läderach, S. Gourdji, 2015 .

Suitability of index insurance: new insights from satellite data

David Lobell, Matthieu M. Stigler, D. Lobell, 2020 .

The effects of extremely wet planting conditions on maize and soybean yields

D. Lobell, W. Schlenker, D. Urban, 2015, Climatic Change.