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spectraldifferences | Tips and tutorials for GIS and Remote Sensing…

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spectraldifferences | Tips and tutorials for GIS and Remote Sensing… | spectraldifferences.wordpress.com Reviews

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danclewley | spectraldifferences

https://spectraldifferences.wordpress.com/author/danclewley

Tips and tutorials for GIS and Remote Sensing…. Airborne Remote Sensing Analyst at Plymouth Marine Laboratory. Convert LaTeX to Word. A big problem with writing in LaTeX is collaborating with colleagues who don’t use it. One option is to generate a Word .docx version and use the comments and track changes features in Word / LibreOffice. This does require manually copying the changes back to LaTeX so isn’t quite as nice as using latexdiff (see earlier post. Basic usage is quite straightforward:. Like HDF ...

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Copy a Shapefile to a Raster Attribute Table | spectraldifferences

https://spectraldifferences.wordpress.com/2015/07/17/copy-a-shapefile-to-a-raster-attribute-table

Tips and tutorials for GIS and Remote Sensing…. Copy a Shapefile to a Raster Attribute Table. The object based image analysis features in RSGISLib are based around storing object attributes as a Raster Attribute Table (RAT), as described in the following paper:. However, data to be used as part of the analysis are often stored as attributes of a shapefile. A RAT can be created from a shapefile using the gdal rasterize. Command and the copyShapefile2RAT function in RSGISLib using the following steps:.

3

A script to batch download files using PycURL | spectraldifferences

https://spectraldifferences.wordpress.com/2015/05/21/a-script-to-batch-download-files-using-pycurl

Tips and tutorials for GIS and Remote Sensing…. A script to batch download files using PycURL. When downloading a lot of large files (e.g., remote sensing data), it is difficult to do using a browser as you don’t want to set all the files downloading at once and sitting round waiting for one download to finish and another to start is tedious. Also you might want to download files to somewhere other than your ‘Downloads’ folder. To make downloading files easier you can use the CURLDownloadFileList.py.

4

Create a DTM and DSM from LAS Format LiDAR data using SPDLib | spectraldifferences

https://spectraldifferences.wordpress.com/2014/08/06/dem-spdlib

Tips and tutorials for GIS and Remote Sensing…. Create a DTM and DSM from LAS Format LiDAR data using SPDLib. The Sorted Pulse Data (SPD) library is a format for storing, and a set of tools for processing, full waveform and discrete return LiDAR data. More details on SPDLib are available from spdlib.org. And in the following publications:. Bunting, P.J., Armston, J., Clewley, D., Lucas, R. M. 2013. Sorted pulse data (SPD) – Part II: A processing framework for LiDAR data ...To create the DTM and DSM the f...

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Atmospheric Correction of Landsat Data using ARCSI | spectraldifferences

https://spectraldifferences.wordpress.com/2014/05/27/arcsi

Tips and tutorials for GIS and Remote Sensing…. Atmospheric Correction of Landsat Data using ARCSI. The Atmospheric and Radiometric Correction of Satellite Imagery ( ARCSI. Software was developed at Aberystwyth University, under contract from the Norwegian Space Centre and allows automatic correction of Landsat data to Top Of Atmosphere (TOA) or Surface Reflectance (SREF). The conversion to Surface Reflectance uses the 6S codes, accessed through the Py6S. To install through conda:. Download and untar data.

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About — RSGISLib

http://www.rsgislib.org/about.html

The Remote Sensing and Geographical Information Systems software Library (RSGISLib) was started by Pete Bunting. A lecturer in the Department of Geography and Earth Sciences (DGES) at Aberystwyth University (Wales, UK) in April 2008 as a means of grouping together code developed as part of his research and to provide a better platform for development of new functions. Joined the project in December 2008, shortly after starting his PhD within DGES, at Aberystwyth University (funded by a NERC studentship).

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Links | Remotely Sensible

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Adventures in ecological modelling and remote sensing in the Brazilian Amazon. A few handy remote sensing and GIS resources. The Remote Sensing and GIS software library (RSGISLib). A collection of tools for processing remote sensing and GIS datasets. Very handy once you’ve got your head around Python. 8211; handles large datasets whilst supporting raster attribute tables. Is an easy way to find the spectral indices which best suited to your sensor and application. Leave a Reply Cancel reply.

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spectraldifferences | Tips and tutorials for GIS and Remote Sensing…

Tips and tutorials for GIS and Remote Sensing…. Create a GIF from a series of images. Creating a video is a cool way to visualise a time series of remote sensing data / outputs. Rather than creating a full video you can also use a GIF. One advantage of GIFs is you can embed them in Powerpoint presentations and they should. Will play in presentation mode (I’ve found them more reliable than videos in other formats). You can use the ImageMagick convert command to create a GIF:. The script is run using:.

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