
stephenhann
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Yes I am aware of the Jenny model of soils forming factors, these have been taken into consideration. My project is just seeing how well the interpolation method works for a single site within a grid. Is there a preference of interpolation method depending on the physical properties?
- 5 replies
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- Soils
- Interpolation
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Hi, For a research project I have collected a square grid of soil samples along with a GPS co-ordinate at each location, I have tested the soils to find results such as pH, Organic Matter Content and the likes. I then took random samples within the Grid to test the accuracy of GIS when predicting soil characteristics. I am wondering which GIS method to use , i.e Interpolation, Kriging , Co-Kriging or any other method. The software I have available is ArcGIS 10.3. I was going to compare the results of the actual random samples compared to what the GIS predicted values would give. Thanks, Stephen
- 5 replies
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- Soils
- Interpolation
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I have downloaded the DECC's ascII format of wind speeds for the UK but I am unable to convert this to a GIS format. Is there a manual or tutorial video to do this? I have also been on the UK Climate Projections User interface which claims to have wind speed data available but I am unable to find it. Is there anywhere I can get UK wind speed data that is suitable to use within ArcGIS?
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Hi, I am creating cycling route maps for a Business Park in the UK. I have access to Digimap data. I want to know what is the best file type to present my routes on for easiest visibility and under standing. I.e. OS Open Map? Meridian 2 tiles? The maps are very local scale with a 4 mile distance between points so I would like to use a very small scale and have all roads easily interpreted on an A4 map.
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Hi, The pdf link would not work, but thanks for your advice it was very helpful. one other question would be if I compare a mean NDVI score for 2010 compared to 2015 but need to define desertification in 4 categories would I use the boundaries for 2010 as a classification system for 2015?
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Hi, I have a project to map 'Current' Desertification in Tunisia. I need to produce a 1:800,000 map. My Initial Idea is to measure desertification through an NDVI to classify desertification using LandSat 8 images as a data source. Questions: Is LandSat 8's spatial resolution suitable to map a 1:800,000 scale map? Should I use one year of images i.e monthly 2014 images or a longer time frame such as 10 years of monthly images or be even more specific i.e daily? to get a mean NDVI score, or should I not use a mean score? Would all the images I have to use need to be corrected for atmospheric variation even though I have used the same satellite? Thanks in advance!
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The excel file only contains postcode data, is there a way to georeference the postcodes in order to give latitude/longitude values?
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I have an excel spreadsheet full of post codes that I want to convert into points. If I download a raster map of the local area how would I georeference the postcodes to correlate on the map.
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A 30x30 metre spatial resolution would be classed as a low resolution image? As when zooming in, it is hard to make out land covers easily, compared to a high resolution image where smaller land covers could be seen clearly such as roads, small streams and urban buildings.
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- assessing classification
- Remote sensing
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I am using Erdas Imagine 2015 software to perform an unsupervised classification of a Landsat 8 img file. When using the Isodata method is there any parameters I can adapt such as standard deviation, convergence threshold etc that are a standard to produce the most accurate results for a land cover assessment rather than the default settings. As recoding and masking individual classes is a lengthy and complicated process. Thanks
- 1 reply
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- ISODATA
- Unsupervised
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