Day: December 22, 2020

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NYS_Tax_Parcels_Public (MapServer)

NYS_Tax_Parcels_Public (MapServer)

Thanks to the following counties that specifically authorized the GPO to share their GIS tax parcel data with the public: Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, NYC- Bronx, NYC- Kings (Brooklyn), NYC- New York (Manhattan), NYC- Queens, NYC- Richmond (Staten Island), Ontario, Orange, Oswego, Putnam, Rensselaer, Rockland, Sullivan, Tioga, Tompkins, Ulster, Warren, and Westchester.

LeafletJS

I switched the blog over to LeafletJS maps and Open Street Map from Google Maps today. πŸ—Ί

While the Google API was convenient, I always worried about getting a flood of blog traffic at some point and having to pay for excess map requests – which is one of the reasons I’ve been doing fewer Google Maps recently.

The nice thing about LeafletJS is that it is entirely agnostic about tile provider – you can use any basemap or even locally served ones. The API is a lot more flexible, with more plugins and options – and let’s be honest, Open Street Map is nearly as good if not better than Google Maps.

I am removing the Google Maps terminology over time in favor of genericitized KML terms because Google Maps says in their license agreements that your only supposed to use their corporate name when using their mapping software, to refer to use to their service.

Structure from motion – Wikipedia

Structure from motion – Wikipedia

Structure from motion (SfM)[ is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is studied in the fields of computer vision and visual perception. In biological vision, SfM refers to the phenomenon by which humans (and other living creatures) can recover 3D structure from the projected 2D (retinal) motion field of a moving object or scene.

From the Nature of Geographic Information on page 158

From the Nature of Geographic Information on page 158:

Through the 1940s, topographers in the field compiled by hand the data depicted on topographic maps. Anson (2002) recalls being outfitted with a 14 inch x 14 inch tracing table and tripod, plus an alidade [a 12 inch telescope mounted on a brass ruler], a 13 foot folding stadia rod, a machete, and a canteen… (p. 1). Teams of topographers sketched streams, shorelines, and other water features; roads, structures, and other features of the built environment; elevation contours, and many other features. To ensure geometric accuracy, their sketches were based upon geodetic control provided by land surveyors, as well as positions and spot elevations they surveyed themselves using alidades and rods. Depending on the terrain, a single 7.5-minute quad sheet might take weeks or months to compile.

In the 1950s, however, photogrammetric methodsinvolving stereoplotters that permitted topographers to make accurate stereoscopic measurements directly from overlapping pairs of aerial photographs provided a viable and more efficient alternative to field mapping. We’ll consider photogrammetry in greater detail later on in this chapter.

By 1992 the series of over 53,000 separate quadrangle maps covering the lower 48 states, Hawaii, and U.S. territories at 1:24,000 scale was completed, at an estimated total cost of $2 billion. However, by the end of the century the average age of 7.5-minute quadrangles was over 20 years, and federal budget appropriations limited revisions to only 1,500 quads a year (Moore, 2000). As landscape change has exceeded revisions in many areas of the U.S., the USGS topographic map series has become legacy data outdated in terms of format as well as content. T