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Processing and refining European Land use Inventory LUCAS for National Needs

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Processing and refining European Land use Inventory LUCAS for National Needs
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A Case study – Land Use and Soil Inventory for Ireland, LUSII
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2019
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English

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Abstract
The impact of land use and land use change and forestry (LULUCF) on soil organic carbon (SOC) stocks and greenhouse gas (GHG) emissions is important for both national GHG inventory reporting and worldwide strategy to offset GHG emissions. Within the Irish Soil Organic carbon and Land Use Mapping (SOLUM) project, Eurostat’s Land Use/Cover Area frame Survey (LUCAS) of 2015, LUCAS soil survey of 2009, and ancillary national open data were employed in an analytical GIS framework to develop spatially integrated soils and land use dataset specific for Ireland. In order to capture dominant Irish land uses that are not included in the EU wide LUCAS survey, the LUCAS dataset was reclassified to grassland intensification and management for IPCC reporting purposes using a formal, semi-automated, interpretation key approach. All types of land use were ascribed to a soil label using the open source Soil Information System (SIS) for Ireland and other ancillary geospatial data, thus generating LUSII, Land Use and Soil Inventory for Ireland. Thus LUSII builds on an existing EU wide Open Data set with local knowledge and GIS analysis to create a new more applicable national dataset.
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Online help
i want to talk to you today about our new see so i'm and the speaker's gavel and so i'm going to purses and will present on behalf of my colleagues here at force fuji there's also the year schools he might have been.
but from childhood through the national authority of fabric culture in full development in ireland and nine in the frame of the soil in project.
and we will discuss about so organic carbon and land use mapping our project.
and it's about modeling have so little guy carbon stocks changes for intergovernmental panel on climate change here to reporting activities so all the countries that signed to the kyoto protocol have to report on greenhouse gas emissions and they have to meet.
but the targets for reducing reducing the emissions so you can see here on the right side.
it is just a brief description of the project so you can see the cost modeling lucas zero start that's open data another open data a national one design information system is about systems architectures soul going carving modeling and uncertainty. assessment but noted to do the modeling you actually need a really good database of slowly and as land use and soil so the description of these two and this is the inventory that we we we we are producing but in order to achieve that you actually need.
to in spatially integrate land use and soil use you have to have a rule base for classification reclassification for the detail and spatial resolution in detail for the national needs temper resolution is also important to pass transitions between between maybe cropland grassland for example of land.
use and high spatial resolution and in a high detail of the classification of land use but for the moment. a trip through bits and i'll ask you if you think of ireland if i say ireland irish what do you think of. perfect think you get nervous and pub crawl and the shamrock and castles and so and realize right and temple bar of course in the bottom right but sorry i'm going to talk to the about christ.
planned so he should have a look at have its this graph you're drunk graph here don't know if it's really visible but it's actually says tree three million six hundred hectares of grassland around four thousand of vegetables around ten thousand potatoes around three hundred.
hundred thousand of of cereals this is actually ireland six seven million cattle of around five million sheep this is the reality of ireland it's all about grassland enclosed grasslands not to mix them with parcells.
so little bit of the irish agriculture so it's about passion based farming this is what i want you to take home these messages is the bedrock of irish sightsee and culture early celtic periods like reading of cattle cattle race to mythological status you can see here on the.
right side top right sides like the legends of queen made of corners and so on look it up their very interesting fifty two percent of the land mass is dedicated to grass growing is the biggest percentage than any other country in europe this is what you have to remember grassland is ninety percent of. forest agricultural area grass growth is favored by their their temperate western murray to climate with mild winters and warm moist summers and i'm.
this comes with something extra to of course have a trade off all over the news over newspaper they're talking about climate crisis and agriculture island completely of course on climate change targets islands agriculture emissions hurdling the wrong direction and so on.
and and cheney greenhouse gas emissions have me thing have nitric oxide among others and the poor cows are to blame for this and it's about belching so internet fermentation for paying me thing for example that's you to their in in that animation. but it's actually me thing so ninety ninety five percent or so per century like this it's actually is coming from the working from the belching so this is the issue and charges because actually working on this you can see here especially with one fixed to monitor me thing. gas emissions from from their burping so this is what you actually the they don't mind they have they have been very careful.
starting this the e.p.a. environmental protection agency a violent of course it reports on greenhouse gas emissions and it gets its specifies also like i'm only a in this case are learned is in breach of ammonia of for example emissions is like the animal menus and so on.
one and a reduction targets are not going to be met. and here in the bottom right you can see key date that of providers jagger sc provides project the animal to animal numbers and so one way to track record for sector in energy so what is charges because i've been mentioning it's a lot of times.
just as the irish word for knowledge instruction was born like nineteen eighty eight but the priest said predecessor of tchaikovsky's actually born in nineteen eighty so it's about them and agriculture and food development authority national body providing.
research and innovation farm advisory and education its it's about long term connection and trust with the farmers really built up in in really a lot of years more than thirty years and they also have emphasized the the four. point approach to reducing greenhouse gas emissions to stabilise me thing so it's about nitric oxide emissions and so on. and of course carbon dioxide as so as i said their than national advisors for farmers so they provide everything from fertilizer advice grand grassland management intensive grassland because it's really intensively managed and i even grazing.
the guides for to maximise production with minimum import of fertilisers and so once you have a really complex management of grasslands fertilisers and in spring spraying we'd spraying and then specializes in summer and managing the grass wage and and so on. so back to our project why why was it important that's why in this context of not meeting the the reduction targets greenhouse gas emissions reduction targets this is this is why so long is important so going carbon and land use mapping.
and it's about more the lng. of solar going carbon stock changes and charges our our team our teams role in this project is actually related to the land use and soil infantry of ireland our lucy so in order to get to get to that we have some challenges.
we have a problem of spatial distribution of current land use in ireland we need high accuracy. we don't know how grasses managed nationally on a farm by farm bases and we don't we need information on user management year by year basis and transition greenland cover for example grassland is classed as to generically as grass or passion or but all the while.
a variety of land cover and land use and habitat with in that class is not captured so we need to go into detail on that our colleague your school zimmerman has published and research on related to where where he showed that cropland is underestimated by forty two percent in manual change reports versa.
is the entire history of a parcel and ireland does not have a national land use database to needed the tell classification the talent spatial resolution so we need information on areas of crops habitats in order to actually use these.
to estimate the top greenhouse gas emissions.
so we use we started from our base layers let's say open data land use and coverage area frame survey you might know which is from heroes that covers the whole york on a two kilometre point grit with lanka over and land use information taking in the.
field.
so we started from this one and the open they open daters so information system of ireland.
so which is a soil association map so with soiled it's about soil types that generally occur together is related to the troublesome from past of ireland after the ice age all the sources were just to put it simply makes stop so it's.
really difficult to map.
the soils so we had to look we started by having look at statistics so you can see the green parts is all about grassland without tree should cover this is theirs to be the distribution of lucas points.
on each soil type so you can see that it covers mostly old soil types grassland is everywhere but this doesn't say anything we need to break down that green class that you see their we need to break it down in inland pain intensity use. management of classes.
so just have an idea we have intensive improved semi improved they have a clear definition is on how d.'s are actually managed in terms of fertilisers ploughing fertilisers receding. the weeds sprained new can see here are some examples these are the lucas database photographs taken it on in the field from the four cardinal points including the the actual point in the field this is these are other examples so you can see various types of crossland.
including the frontrunners transitional rough grazing maddow fan and.
and we have continued our our search to put all the data together to make the most of the available data that's you can see over there does its peatland that it's cut its harvested for energy purposes. and so we wanted we did we managed to classify. the grasslands in extensive or natural grasslands seven natural same improved improved an intensive. but how do we managed to that we had the look also at article imagery or radar but you have to remember that in ireland. and so is cloudy optical imagery is absolutely useless especially if you want to change detection monitoring.
so we also looked at the individual points like issues like points that fall in the radius of observation fall into two different land use classes and. so we treated those separately.
again the soil is the sole map is an association map so we have to break it down to our needs in terms of greenhouse gas emissions so this is how we actually looks so each roll isn't is an association and within that association have various types of soils so how do you.
managed to classify that how do you manage to use that when you have in the twelve in one or two in one three in one we put all the old this data together and salary day said open data to manage to reclassify the grasslands and soil and two.
finally get to rule based classification it's absolutely year is horrible it's complex it's chaotic this is what is really is i could have represented graphically a nicer but i wanted you to see how we actually look out how it actually looks we can put this into pipeline.
and you would be. the semi automated it would look much more than meet.
we also worked on the mantra tour like to actually define the classes according to standard mythology where classified in the and the soils according to texture because also according to i.p.c.c. that was a more.
reliable or more from a useful for our purposes so we have for clusters that simplified a lot the map and we have like is the first class is low me the reddish pinkish one yellow is like clay dominated soils. the seal to climb the sooty dominated sources would do and sandy dominated some so you can see the distribution of its it's much more clear than having are so so association map and we managed also after more than one year when one year and a half to have the first.
kraft of lucy to two managed to get to that the tale of classification in terms of grassland management.
but on the and work on the upper part it's their regional lucas data how it actually looked the distribution of each of the chukkas class within each soil the cluster.
and this is the resulting part so all those grasslands were actually broken into into five those other grasslands that were related to residential or sports or whatever will put all together into artificial green areas and the rest of them just to have an idea how we manage to.
to break it down. these results were also presented that other conferences like the one in uk on soils and sustainable development goals.
and of course other national conference as you can follow us on twitter by you can you can have more details or more clearer world who on what we're doing and and how will the finish the project.
this is actually behind the scenes this is the the team from are trained to college dublin tussauds saunders he's the project leader. steward green his hour. my mentor supervisor his his the the leader of the work package in china's we have also people working from the furs the forestry consultancy company that's me you know me. she's she's mostly working on the modeling parts so she's waiting all for all the data from us.
and of course years co is here my colleague and yes i i have to emphasize that behind any big important project in huge work be important work it's there's a team.
and in the context also have open data and open mind as an open put everything i wanted to specify the child has won first prize last year and farming by such like prize is on copernicus data is a stain on genesis. so we've made made the promotes copernicus data so these this is the spatial nemesis unit in china goes so we have all shapes and sizes where we are the team behind all this and i think this is important to specify the and of course.
i couldn't help it i have to mention that this is the pathway that brought me to ireland and i am but i'm very happy to have the chance to present his back to my home country i'm romanian so i couldn't help but i had to mention it. thank you very much for your attention.
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