Publications by Steven Mosher
rasterVis to the rescue
Programmers like Oscar Perpiñán Lamigueiro are the reason I love R! Oscar is the maintainer of the rasterVis package and it in this post I’ll explain why it is must have package for anyone working with the raster package in R. My latest project is focused on the NOAA’s Climate Reference Network. The details can be found here. Over a y...
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City Size and SUHI
In the course of putting together data for my kriging project with the CRN stations, I got another idea related to a small but potentially important corner of the concerns over UHI in the global temperature index. For clarity I suppose I should make it clear that my position is that the UHI bias is probably low, less than .1C decade. That’s bas...
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More Fun With Modis
I’ve started a tutorial on using the MODIS package in R the first few steps are here. While I wait on a release of the package I thought I would play around a bit with the MRT tool and see how it worked. Let’s recall where we are going. I have an inventory of around 150 small cities and we are going to take a look at SUHI in those locat...
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Sample Input Data.
Just a couple quick examples. Starting with 30 meter impervious surface Followed by MODIS Land cover ( “red” is urban ) And finally Day LST Google earth Related To leave a comment for the author, please follow the link and comment on their blog: Steven Mosher's Blog. R-bloggers.com offers daily e-mail updates about R news and tu...
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Pilot Study: Small Town Land Surface Temperature
Introduction Zhang and Imhoff (2010) pdf here utilized NLCD impervious surface area (ISA), Olson biomes, and MODIS Land Surface temperature (LST) to estimate the magnitude of UHI in large cities across the US. Peng employed a similar approach in studying 419 large cities ( population greater than 1m ) around world. Peng’s work sugges...
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Terrain effects on SUHI estimates
Introduction Zhang and Imhoff (2010) pdf here utilized NLCD impervious surface area (ISA), Olson biomes, and MODIS Land Surface temperature (LST) to estimate the magnitude of UHI in large cities across the US. Peng employed a similar approach in studying 419 large cities ( population greater than 1m ) around world. Peng’s work sugge...
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Modis R: Package tutorial
The MODIS package for R For people who work in GIS in R there has been a bit of challenge in working with data from Modis. I’ll use an example from my own work on UHI to illustrate. A while back I decided that I wanted to look at albedo data from MODIS. If you want to get MODIS data there are basically two approaches. You can use the web ...
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Modis QC Bits
In the course of working through my MODIS LST project and reviewing the steps that Imhoff and Zhang took as well has the data preparations other researchers have taken ( Neteler ) the issue of MODIS Quality control bits came up. Every MODIS HDF file comes with multiple SDS or multiple layers of data. For MOD11A1 there are layers for daytime...
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A quick look at GHCN version 4
GHCN version 4 beta is available. Using the GHS population dataset the ~27000 GHCNV4 sites were filtered to collect only rural stations. GHS combines two datasets, a 10meter built surface satellite dataset and a human population dataset. https://ghsl.jrc.ec.europa.eu/. using site locations the population withi...
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Resources
bakerDownload blackburnDownload ellis1890Download karl86Download mitchellDownload schall-77Download christyDownload mmtsDownload Download Related To leave a comment for the author, please follow the link and comment on their blog: Steven Mosher's Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and ...
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