Top view of crop field

Satellite and AI for sustainable farming

Field monitoring at any scale

01 Insights & forecasts

Satellite imagery for crop identification

Unique knowledge on crop rotations, on every field, anywhere in en Europe thanks to non-stop IA-driven satellite imagery analysis by Kermap.

Field boundaries

Available all over Europe (minimum size : 0.5 ha)

Dominant crop type identification

30 classes in France, including winter/summer varieties, and 22 classes in other European countries

Production areas

End-of-season and in-season estimation

Yield estimates

Field crops, end-of-season

A unique look at European agriculture

Crop inventory over all of Europe’s farming fields, in maps and stats

02 Measure & Verification

Regenerative agriculture: measuring soil cover

Objective, reliable indicators to quantifiy and validate agroecological transition programs based on soil conservation agriculture

Soil cover duration

In number of days, field by field

Soil cover rate

Identification of intra-field heterogeneity

Cover crop monitoring

Cover crop typology and cover duration

Cover crop biomass

Estimation and modelization of carbon stocked by vegetation

Étude de cas

Saint Louis Sucre – Regenerative agriculture

  • Non-stop satellite monitoring from Sentinel imagery
  • Automatic identification of covered/non-covered fields
  • Calculation of annual soil cover duration

Earth observation for ecosystem conservation

Biodiversity indicators green infrastructure monitoring (bocage network inventory, hedge destruction and planting…)

03 Adaptation

Quantifiying climate impact

Thanks to the analysis of optical and radar satellite imagery, get non-stop information on drought risks and farmland resilience

Forage production indicators

Identification of irrigated areas

Water stress indicators

Vegetation health indicators (NDVI, LAI…)

Your custom project & turnkey data

Kermap provides indicators tailored to your needs, using technical solutions designed for simplicity of access and operation : APIs, dashboards or deliverables. Contact us to learn more about our products for sustainable agriculture.

Automatized crop monitoring, field by field, at any scale

Kermap contributes to sustainable farming initiatives by providing crop analytics through satellite analysis. We combine expertise in remote sensing and artificial intelligence to deliver quick, large-scale multi-year crop identification. Our indicators and datavisualization tools provide actionable crop monitoring to anticipate on market trends, assess logistics needs, and certify the impact of environmental incentives for players involved in the transition to sustainable agriculture.

Crop identification from satellite imagery

Our innovative AI models enhance traditional crop identification using remote sensing, with gains in accuracy, velocity and scalability.

These deep learning techniques for instance proved successful in producing the first Europe and crop map in 2020 available on our demo platform, with the corresponding stats of production areas.

Crop identification for environmental services

You are a public actor, company, farm co-op, or non-profit organization involved in a greening or payment for ecosystemic services programme (PES) ? Our crop monitoring processes provide you with efficient tools and relevant indicators to support farming professionals towards the adoption or sustainable agriculture practices.

Crop analytics produced by Kermap support agroecology initiatives relying on soil conservation – such as EarthWorm Foundation’s participation au programme Sols Vivants Besides, Earth observation data can also contribute to water quality preservation, chemical input limitation or carbon sequestration.

Carbon offset for agriculture

Objective criteria to calculate carbon offset ? Through satellite data, crop analytics have some in store. We provide large-scale monitoring of farming practices fostering soil carbon storage, through the identification of crop rotation or cover crops among others.

These indicators produced by remote-sensing supply key contributions to carbon offset measurement. Players active in the carbon credit field can thus improve the reliability of their initiatives to encourage the reduction of CO2 emissions.

More readings

Drought in Irak : split-screen view of the Mosul Area April 2020 vs 2022
Environment

Jun 17, 2022

Satellite imagery and climate change : monitoring the impact of drought in Iraq

On the occasion of the United Nations' World day to combat desertification and drought (17 June), Kermap’s Earth observation platform Nimbo Maps helps putting images and figures on Iraq’s critical situation

Urban planning

Dec 16, 2021

Climate change in 2021 : a view from the cities

A few days from the end of a year that might be historic, let's have a look back at 2021's climate in 24 cities across the world with Klover.