1. Faster labelling
We managed to boost exponentially our labeling speed for the cloud masking project with Segments.ai annotation tool. Comparing to CVAT, which we have used previously, it is superior in speed and functionality since it allows to apply machine learning from the start. It is possible to label small subset of images first, train i.e., a segmentation model and then predict “prelabeled” for the rest of the data. Afterwards, the correction of predicted labels can be done simply with the brush. The better the model is, the faster is labeling and it is possible to continue training with corrected data creating a next prelabeled version (more info).
Marharyta Domnich, Machine learning engineer
2. Great amount of square kilometers processed
In many cases land is divided into generally homogenous parcels for management purposes. For instance, this is common in forestry and agriculture in Europe. If this is the case, more refined products can be delivered to clients. We started to offer Sentinel-1 statistics time-series for areas of interest (AOI) as a service in April 2020. Since then, we have delivered to our clients approximately 15 000 000 statistical measurements about interferometric coherence and backscatter in VH and VV polarisations for 335 000 km2 of land.
Tanel Tamm, GIS expert and board member
3. Warm years from 2016 to 2020
Interviewing the active and innovation-friendly farmers of Estonia has brought us to an interesting topic – climate change. From one hand the farmers are happy as warmer climate gives greater yield. On the other hand, softer winters and warmer summers bring new pests and diseases further North, which did not like the cool climate that was here before.
To not let ourselves be fooled by the cold winter here now in January 2021, we dug into real data and checked how much the weather has actually changed in the past 5 years. We checked the monthly average temperatures with respect to the climate norm 1981-2010 according to Estonian Weather Service. The chart below summarizes our findings.
It is pretty unidirectional picture. In 45 months out of 60 the temperature has been warmer, on average a month is 1.3 degrees warmer than the climate norm. For country and monthly average, it is a lot! This data here is about Estonia, but the conclusion is to a large extent valid for whole Northern Europe / Baltic Sea Region. We do not want to argue here how large part of it is caused by humans and if it is a cyclic behaviour. Still, regularly warmer months during past years is a fact.
KappaZeta tries to be close to our users helping them to better understand and analyse, what is going on with our nature and what are the wise decisions in this context. Analysing objective satellite and weather data is a good basis for unbiased and clever decisions.
Kaupo Voormansik, CEO
