Asia-Rice Crop Estimation & Monitoring (Asia-RiCE) component for the GEO Global Agricultural Monitoring (GEOGLAM) initiative. it aims to:

    • To ensure that Asian countries receive the full potential benefits of GEOGLAM, and that they are suitably engaged and prepared to do so;
    • To ensure that rice crop monitoring issues are given suitable priority and attention within the scope of the full GEOGLAM initiative, including in the development of the observing requirements; and
    • To establish a framework for the coordination necessary to engage, manage and support the various stakeholders.
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SAR Inter-Comparison

Welcome to the Synthetic Aperture Radar (SAR) Inter-Comparison Experiment page. Here you will find up-to-date details regarding the project including the Project Plan, Journal Articles, Webinar Videos, and much more! Check back frequently for all the latest news and highlights of the Experiment.

Field Protocol Documents

Ground Measurement Guideline for LAI  & Biomass

CAN-EYE User Manual

CAN-EYE Output Variables

BBCH Staging Manual

Guidelines for Cropland and Crop Type Definition and Field Data 

Project Plan & Participation Form

Project Plan

Participation Form

Journal Article Links

Estimation of Leaf Area Index (LAI) in corn and soybeans using multi-polarization C- and L-band radar data.

Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields.

Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivery operational annual crop inventories.

A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada.

Annual space-based crop inventory for Canada: 2009-2014.

Data Policy & Authorship Guidelines

Data Policy

Authorship Guideline

Author List (Coming Soon)


July 2017

August 2017

September 2017

October 2017

November 2017

December 2017

January 2018

February 2018

March 2018

April/May 2018

June/July 2018

August/September 2018

October/November 2018

December 2018

January/February 2019

Webinar Videos

Click this link to view the webinar slides!

Click this link to view recorded webinar!

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Sentinel-2 for Agriculture (Sen2-Agri) project has been launched by ESA, as a major contribution to the R&D and national capacity building components of the GEOGLAM initiative and to the JECAM network activities.

The Sen2-Agri project is designed to develop, demonstrate and facilitate the Sentinel-2 time series contribution to the satellite EO component of agriculture monitoring. The project will demonstrate the benefit of the Sentinel-2 mission for the agriculture domain across a range of crops and agricultural practices.

The project objectives are to provide validated algorithms, open source code and best practices to process Sentinel-2 data in an operational manner for major worldwide representative agriculture systems distributed all over the world.

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SIGMA is part of Europe’s contribution to GEOGLAM, actively networking expert organizations world-wide, in a common effort to enhance current remote sensing based agricultural monitoring techniques. Its aim is to develop innovative methods and indicators to monitor and assess progress towards “sustainable agriculture”, focused on the assessment of longer term impact of agricultural dynamics on the environment and vice versa.

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STARS is a research project which is looking for ways to use remote sensing technology to improve agricultural practices in Sub-Saharan Africa and South Asia. Supported by the Bill & Melinda Gates Foundation, the project hopes to significantly advance the livelihoods of smallholder farmers in some of the world’s poorest countries.

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