Agriculture: Managing Land Productivity and Resilience

An established global food crisis and faster than predicted global warming

It is currently estimated that some 821 million people worldwide are chronically undernourished. Water resources are a key element in agriculture, and they are under increasing pressure due to a growing population and climate change. Today, farmers, agro-industrial companies and cooperatives need to optimize their crop growth while better managing their water resource.

With more than 40 years of experience CLS has developed different services that aim to:

• Assess Farm’s water needs and resources.
• Map and identify types of crops.
• Detect anomalies in agricultural fields such as irrigation problems, flooding, pests, illegal or unreported harvesting and more.
• Estimate crop yields.

CLS: Crop monitoring services on a global scale

From Kenya to Uganda to Martinique, CLS experts contribute to the management of many different regions.

They do this by combining existing local, national and global data with data generated by the CLS teams (photointerpretation, machine learning classification data, etc.) The result is a reliable product that is specifically adapted to the requirements of crop and land monitoring.

Quality predictive tools at the heart of all your decisions

CLS takes complex data, including sometimes overabundant or insufficient data, and transforms it into clear and simple information that can be used by anyone.

Services designed for and aimed at public and private stakeholders to:

With more than 40 years of experience CLS has developed different services that aim to:

• Assess Farm’s water needs and resources.
• Map and identify types of crops.
• Detect anomalies in agricultural fields such as irrigation problems, flooding, pests, illegal or unreported harvesting and more.
• Estimate crop yields.
• Assess the potential of agricultural and non-agricultural land

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From crop mapping to yield prediction

Access up-to-date, reliable information across all regions.

Analysis

In-depth analysis with our experts to:

• Understand the context.
• Detail the environmental, economic and social issues.

Research and integration of relevant data.

Methodology

Multi-criteria data processing:

• High to very high-resolution satellite imagery.
• Data processing and AI for automated machine learning classification.

Integration of specialist data (learning set).

Development of a field survey system: cameras transported by local operators.

Production

• Algorithms to detect crop typologies and changes.
• Database generation for each different crop.
• Multi-temporal crop growth analysis.
• Development of a yield prediction model.
• Field measurements for enhanced reliability.

Transfer

• Agricultural land maps and yield prediction statistic.
• Capacity building and methodological guidance.
• Integration onto an accessible monitoring platform.
• Information transfer via databases and dynamic maps.

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Flagship projects

GEOGLAM

As part of its GEOGLAM project, the United Nations commissioned CLS to develop a mapping service, to provide certain countries with access to vital information about their crops over several cycles or years.

The aim was to gain an understanding of the status and development of agriculture and livestock farming and thereby provide authorities with the means to steer crop production, adapt farming methods, anticipate shortages and import cereals likely to be in short supply at favourable rates.

AGRICULTURAL POTENTIAL

Martinique’s Department of Food, Agriculture and Forestry called on the support of CLS for its food resilience strategy.

To this end, CLS delivered strategic land use data revealing the agronomic potential of each tract of land on the island, while taking into account both environmental constraints and human activity.