facility:gis lounge

An Algorithm to More Accurately Classify Land Cover Using Landsat Imagery ~ GIS Lounge
▻https://www.gislounge.com/algorithm-accurately-classify-land-cover-landsat-imagery

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Classification of multispectral and hyperspectral data has increasingly become important to detecting land use change. While many algorithms and approaches exist for such classification, improving classification techniques using widely available data such as Landsat #satellite data has largely stalled in recent years.

Recently, Hankui Zhang, from South Dakota State University, has developed a new classification technique that used a large number of images from MODIS, which has 500-meter resolution, and Landsat (30-meter) resolution together. Overall, three years of data were gathered from the Landsat 5, Landsat 7, and #MODIS programs. The research focused on the area covering 20 and 50 degrees north latitude mostly in North America. A future aim is to use the Sentinel 2 series and combine that data to then also obtain a global 30-meter resolution classification. The algorithm can be obtained using an FTP server after obtaining a username and password from Zhang.[1]

#algorithmes #cartographie #couverture_des_sols

GIS and Cartography Quotes ~ GIS Lounge

▻https://www.gislounge.com/gis-quotes

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“When our maps do not fit the territory, when we act as if our inferences are factual knowledge, we prepare ourselves for a world that isn’t there. If this happens often enough, the inevitable result is frustration and an ever-increasing tendency to warp the territory to fit our maps. We see what we want to see, and the more we see it, the more likely we are to reinforce this distorted perception, in the familiar circular and spiral feedback pattern.” ~ Professor Harry L. Weinberg, 1959 in Levels of Knowing and Existence: Studies in General Semantics

#cartographie #citations

Neocartography Can Be Beautiful, Cartography Can Be Fast ~ GIS Lounge

▻http://www.gislounge.com/neocartography-can-be-beautiful-cartography-can-be-fast

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Nicolas Regnauld, Product Manager at 1Spatial discuss the debate about neocartography versus traditional cartography and the evolution towards creating more intelligent automation tools for creating maps.

Like the neogeography buzzword that emerged a few years ago, neocartography is a more recent term that also divides the discussion into two camps: traditional cartographers who argue ‘maps need humans to create them using psychology and aesthetics’ verses neocartographers; ‘you have to automate map generation in order to be responsive and accessible’.

#cartographie #sig #gis

Automating Extracting GIS Data from Scanned Maps - GIS Lounge
▻http://www.gislounge.com/automating-extracting-gis-data-scanned-maps

As the NYPL Lab explains on the read me page for the project, the process has saved thousands of hours in creating GIS data from old scanned maps: [I]t took NYPL staff coordinating a small army of volunteers three years to produce 170,000 polygons with attributes (from just four of hundreds of atlases at NYPL). It now takes a period of time closer to 24 hours to generate a comparable number of polygons with some basic metadata. (...)

#map #python #imagemagick #R #gdal