Inbal Becker-Reshef

Orcid: 0000-0002-2160-5151

According to our database1, Inbal Becker-Reshef authored at least 42 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
TRANCO: Thermo radiometric normalization of crop observations.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

How Well Do EO-Based Food Security Warning Systems for Food Security Agree? Comparison of NDVI-Based Vegetation Anomaly Maps in West Africa.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War.
CoRR, 2023

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
CoRR, 2023

Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique.
CoRR, 2023

Rapid Response Crop Planting Detection over Ukraine using Synthetic Aperture Radar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Two Decades of Winter Wheat Expansion & Intensification in Russia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields.
Proceedings of the 13th International Conference on Dependable Systems, 2023

2022
High-Impact Hot Spots of Land Cover Land Use Change in Ukraine.
Proceedings of the 12th International Conference on Dependable Systems, 2022

2021
Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques.
Remote. Sens., 2021

A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index.
Remote. Sens., 2021

Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data.
Remote. Sens., 2021

The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Generating Winter Wheat Global Crop Calendars in the Framework of Worldcereal.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


Crop Yield Forecast at Field Scale Using Deep Neural Network Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Forecasting Wheat Yield Using Remote Sensing: The ARYA Forecasting System.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data.
Remote. Sens., 2020

Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar.
Remote. Sens., 2020

Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization.
CoRR, 2020

Rapid Response Crop Maps in Data Sparse Regions.
CoRR, 2020

Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset.
CoRR, 2020

NASA Harvest(ing) Earth Observations for Informed Agricultural Decisions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Crop Harvest Monitoring Using Polarimetric SAR Parameters.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study.
Remote. Sens., 2018

Geoglam Best Available Crop-Specific Global Maps: Strengths and Limitations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Enhancing Remote Sensing Based Yield Forecasting: Application to Winter Wheat in United States.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Geoglam: A Geo Initiative on Global Agricultural Monitoring.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring.
Remote. Sens., 2017

2016
Drought impact on wheat yield in Oklahoma and Nebraska: A remote sensing perspective.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Incorporating yearly derived winter wheat maps into winter wheat yield forecasting model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions.
Remote. Sens., 2015

A Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM).
Remote. Sens., 2015

Agricultural growing season calendars derived from MODIS surface reflectance.
Int. J. Digit. Earth, 2015

Evaluation of the ASCAT surface soil moisture product for agricultural drought monitoring in USA.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Wheat Yield Forecasting for Punjab Province from Vegetation Index Time Series and Historic Crop Statistics.
Remote. Sens., 2014

Evaluating the impacts of drought on crop production from satellite observations: A case study in Kansas.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Wheat production forecasting for Pakistan from satellite data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2010
Estimating Global Cropland Extent with Multi-year MODIS Data.
Remote. Sens., 2010

Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project.
Remote. Sens., 2010


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