World map: Difference between revisions

Revision as of 14:23, 20 February 2017

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Click Here to Visit Individual Countries / Climate Plans

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United Nations / National sites -- Environmental Data -- http://unstats.un.org/unsd/environment/clinks.htm

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Our World in Data -- https://ourworldindata.org/about/

https://ourworldindata.org/entries/

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Global Fact Checking Projects in Countries -- "There are 96 fact-checking projects in 37 countries" (beginning with the original project at Poynter Institute in St. Petersburg, Florida)

http://www.poynter.org/2016/there-are-96-fact-checking-projects-in-37-countries-new-census-finds/396256/

http://reporterslab.org/fact-checking/

http://reporterslab.org/category/fact-checking/#article-1384

http://reporterslab.org/global-fact-checking-up-50-percent/

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Ecoregions

EcoExploring / Land Unit Mapping / Virtual Planet

Terrestrial Ecoregions of the World: A New Map of Life on Earth

http://www.greenpolicy360.net/w/Category:Ecoregions

https://en.wikipedia.org/wiki/Ecoregion

Virtual Earth / eMaps

http://www.greenpolicy360.net/w/Virtual_Earth

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World Languages

World Population

Earth Sciences / EcoExploring / Land Unit Mapping

Why Mapping, why GIS?

The many fields of earth and environmental science are open to new ways of seeing, discovering and applying solutions using the latest digital, information technology.

Across the globe and in each local community, new IT capabilities are employing terrestrial data collections techniques and 'eyes in the sky' to deliver data into mapping platform and applications. We are using software platforms and tools to analyze our world and planet's systems in ways never before available.

Across most every industry, our new digital skills touch how we live and how we sustain our environment and improve the quality of our lives.

http://www.smithsonianmag.com/history/unlikely-history-origins-modern-maps-180951617/

http://web.mst.edu/~rogersda/gis/History%20of%20GIS.pdf (Environmental / Slide Presentation)

In Memoriam: To Congressman George E. Brown from East Los Angeles for his vision and work to launch the Landsat program. Rep. Brown, as a leader on the US House Committee on Science, Space and Technology, was a key supporter of the Landsat program and its 'open' satellite imagery, science and data that sparked industries and new ways of seeing and applying science to real-world mapping and rising environmental, eco-nomic challenges.

https://www.greenpolicy360.net/w/George_E._Brown_Jr

https://www.greenpolicy360.net/w/Landsat_data_users_handbook

https://landsat.gsfc.nasa.gov/nasa-usgs-begin-work-on-landsat-9-to-continue-land-imaging-legacy/

Let's Look at Geographic Information Systems (GIS) to Start

Wikiview @ArcGIS

@ESRI

Consider the fields of:

Agriculture
Climate, Weather, and the Atmosphere
Conservation and Resources
Environmental Management
Forestry
Mining and Safety
Oceans and Fisheries
Sustainable Development
Water Resources

and many more opportunities in almost every field.

The opportunities to change what has been 'business-as-usual' to 'business-with-vision' are multiplying. Traditional economics is becoming an eco-nomics in the process of our new knowledge base and new ways of monitoring and observing change over time.

Take a look at just one 'case study' of how you can 'change the world' by using these new earth mapping tools.

Let's us introduce a friend of ours, a Bioneer, Rebecca Moore.

GreenPolicy360 highlights Rebecca Moore

Rebecca envisioned setting up Google Outreach -- and she did.

Then Rebecca convinced Google to 'grow' her venture -- and they did.

Here are two history-making ventures that act to change economics of the past to an eco-nomics future.

The Global Fishing Watch and Global Forest Watch, as envisioned and realized, act to enable us, as planet citizens, to improve our world and work toward sustainable economies and resilient, sustainable life systems.

Global Fishing Watch

Global Forest Watch

Google Outreach continues its impact

Share Your Data

Global Forest Watch in Action

Forest Watch & World Resources Institute

Monitoring the World's Forests

Start with where you are... just as Rebecca did, in her home community, her local forest grove...

Google Earth Outreach Is Out in Front

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Where Am I?

PlaNet: Google Mapping Program w/ Artificial Intelligence, a New 'MapIt' Era

Google PlaNet Can Look at a Photo, Tell You Where it Was Taken

https://upload.wikimedia.org/wikipedia/commons/thumb/3/3e/Landscape_of_a_winding_gravel_road_on_the_picturesque_mountain_plateau.jpg/800px-Landscape_of_a_winding_gravel_road_on_the_picturesque_mountain_plateau.jpg

AI Facebook Mapping, Citizen Mapping, United Nations Mapping

Connecting the World with Better Maps

Facebook’s artificial-intelligence software... capable of mapping more in a week than humanity has mapped in history

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The OpenStreetMap project

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The UNMap Project

Global Map Site

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New Maps of Global Ecological Land Units

http://ecoexplorer.arcgis.com/eco/maps.html

http://www.aag.org/global_ecosystems

http://www.aag.org/galleries/default-file/AAG_Global_Ecosyst_bklt300.pdf

http://www.esri.com/esri-news/releases/14-4qtr/the-most-detailed-ecological-land-units-map-in-the-world

http://blogs.esri.com/esri/esri-insider/2014/12/09/the-first-detailed-ecological-land-unitsmap-in-the-world/

http://story.maps.arcgis.com/apps/MapJournal/index.html?appid=dc91db9f6409462b887ebb1695b9c201&webmap=dd6f7f93d54341a69a47002696cf5744

http://www.wired.com/2015/02/new-map-shows-worlds-ecosystems-unprecedented-detail/

The Global Ecological Land Unit maps are the most detailed look ever at Earth’s ecosystems. Basically, it partitions the planet into squares 50 meters on a side—roughly the size of a couple of football fields. An ecosystem looks at lithology (that’s rocks and dirt), climate, topography, and land cover—from pristine forest to pavement. Each square on the map combines those categories of data, and every pixel can be described in a single sentence—say, warm, wet hills on volcanic rocks with mostly evergreen forests. Underneath: reams of reference. A world’s worth of data.

The US Geological Survey pulled that information from a wide swath of sources—soil surveys, digital elevation models, satellites, weather stations. But the agency didn’t have the computing power to chew it into meaningful maps. So, they partnered with ESRI, the titanic digital mapping company, which marshaled an army of geographers, analysts, and cartographers to knit everything together. Ecologists have always relied on maps made by experts based on their on-the-ground research. They were good, but subjective. Data is better. “It’s a huge confidence boost to the scientists that we are on the right track to understanding things in a comparable way,” says Charlie Frye, ESRI’s chief cartographer. After sharing it with veteran ecologists, Frye says they responded by telling him that this map showed them what they already knew, but at scales they’d never seen before.

And what’s good for research is good for conservation...

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River Basins & Watersheds

Ecoregions

http://www.greenpolicy360.net/w/Category:Ecoregions

http://assets.panda.org/img/original/ecoregions_map.jpg

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APPS

Smartphone Apps/Browser add-ons/extensions

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Google Maps

Introducing Voyager & Earth View

and, of course ...

http://www.google.com/maps

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Google Earth Pro is now available to download free/February 2015 - http://google-latlong.blogspot.com/2015/01/google-earth-pro-is-now-free.html

Google Earth http://www.google.com/earth/

Google Earth Outreach

Earth Outreach

http://www.google.com/earth/outreach/tutorials/mapper_temp.html

http://www.google.com/earth/outreach/tutorials/spreadsheet.html

http://www.google.com/earth/outreach/tutorials/spreadsheet3.html

http://www.google.com/earth/outreach/tutorials/mapseng_lite.html

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Microsoft Bing / Virtual Earth

Bing Maps Platform (previously Microsoft Virtual Earth) - http://www.microsoft.com/maps/

https://en.wikipedia.org/wiki/Bing_Maps_Platform

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Mapquest (US) - https://www.mapquest.com/

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NASA Maps

Web-enabled LandSat Data http://weld.cr.usgs.gov/

NASA World Wind http://worldwind.arc.nasa.gov/java/ -- http://worldwind.arc.nasa.gov/java/

"World Wind lets you zoom from satellite altitude into any place on Earth. Leveraging Landsat satellite imagery and Radar Topography data, World Wind lets you experience Earth terrain in visually rich 3D..."

NASA Earth Observatory Global Maps http://earthobservatory.nasa.gov/GlobalMaps/?eocn=topnav&eoci=globalmaps

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More Maps & Apps Online

Virtual Globe - via Wikipedia

ArcGIS: Mapping & Analytics Platform

Bing Maps and Bing Maps 3D.

Bhuvan is an India-specific virtual globe.

CitySurf Globe, fast adaptation and transfer secured data due to special data storage structure, dynamic spatial data editing on 3D client monitor, data stored in Oracle SDO or PostGIS, flexible authorization models for different user groups (LDAP and Active Directory support) also excellent quality and fast 2D map rendering.

Earth3D, a program that visualizes the Earth in a real-time 3D view. It uses data from NASA, USGS, the CIA and the city of Osnabrück. Earth3D is free software (GPL).

EarthBrowser, an Adobe Flash/AIR-based virtual globe with real-time weather forecasts, earthquakes, volcanoes, and webcams.

GeoServer

Google Earth, satellite & aerial photos/datasets (including commercial DigitalGlobe images) with international road dataset (first popular virtual globe along with NASA World Wind).

MapGuide Open Source

MapJack covers areas in Canada, France, Latvia, Macau, Malaysia, Puerto Rico, Singapore, Sweden, Thailand, and the United States.

MapServer

Marble, part of the KDE, with data provided by OpenStreetMap, as well as NASA Blue Marble: Next Generation and others. Marble is Free and open-source software (LGPL).

NASA World Wind, USGS topographic maps and several satellite and aerial image datasets, the first popular virtual globe along with Google Earth. World Wind is open-source software (NOSA).

Nearmap

OpenWebGlobe, a virtual globe SDK written in JavaScript using WebGL. OpenWebGlobe is free and open-source software (MIT).

Planet - https://www.greenpolicy360.net/w/Planet_Labs_Doves_Fly

QGIS, desktop GIS system.

[https://en.wikipedia.org/wiki/List_of_geographic_information_systems_software List of geographic information systems software / Via Wikipedia

'Virtual Globe' software information / Via Wikipedia

Consider (from Wikipedia) how data can be collected for mapping, for GIS, for applications and platforms:

Example of hardware for mapping (GPS and laser rangefinder) and data collection (rugged computer). The current trend for geographical information system (GIS) is that accurate mapping and data analysis are completed while in the field. Depicted hardware (field-map technology) is used mainly for forest inventories, monitoring and mapping. Data capture—entering information into the system—consumes much of the time of GIS practitioners. There are a variety of methods used to enter data into a GIS where it is stored in a digital format.

Existing data printed on paper or PET film maps can be digitized or scanned to produce digital data. A digitizer produces vector data as an operator traces points, lines, and polygon boundaries from a map. Scanning a map results in raster data that could be further processed to produce vector data.

Survey data can be directly entered into a GIS from digital data collection systems on survey instruments using a technique called coordinate geometry (COGO). Positions from a global navigation satellite system (GNSS) like Global Positioning System can also be collected and then imported into a GIS. A current trend in data collection gives users the ability to utilize field computers with the ability to edit live data using wireless connections or disconnected editing sessions. This has been enhanced by the availability of low-cost mapping-grade GPS units with decimeter accuracy in real time. This eliminates the need to post process, import, and update the data in the office after fieldwork has been collected. This includes the ability to incorporate positions collected using a laser rangefinder. New technologies also allow users to create maps as well as analysis directly in the field, making projects more efficient and mapping more accurate.

Remotely sensed data also plays an important role in data collection and consist of sensors attached to a platform. Sensors include cameras, digital scanners and lidar, while platforms usually consist of aircraft and satellites. In England in the mid 1990s, hybrid kite/balloons called Helikites first pioneered the use of compact airborne digital cameras as airborne Geo-Information Systems. Aircraft measurement software, accurate to 0.4 mm was used to link the photographs and measure the ground. Helikites are inexpensive and gather more accurate data than aircraft. Helikites can be used over roads, railways and towns where UAVs are banned.

Recently with the development of miniature UAVs, aerial data collection is becoming possible with them. For example, the Aeryon Scout was used to map a 50-acre area with a Ground sample distance of 1 inch (2.54 cm) in only 12 minutes.

The majority of digital data currently comes from photo interpretation of aerial photographs. Soft-copy workstations are used to digitize features directly from stereo pairs of digital photographs. These systems allow data to be captured in two and three dimensions, with elevations measured directly from a stereo pair using principles of photogrammetry. Analog aerial photos must be scanned before being entered into a soft-copy system, for high-quality digital cameras this step is skipped.

Satellite remote sensing provides another important source of spatial data. Here satellites use different sensor packages to passively measure the reflectance from parts of the electromagnetic spectrum or radio waves that were sent out from an active sensor such as radar. Remote sensing collects raster data that can be further processed using different bands to identify objects and classes of interest, such as land cover.

When data is captured, the user should consider if the data should be captured with either a relative accuracy or absolute accuracy, since this could not only influence how information will be interpreted but also the cost of data capture.

After entering data into a GIS, the data usually requires editing, to remove errors, or further processing. For vector data it must be made "topologically correct" before it can be used for some advanced analysis. For example, in a road network, lines must connect with nodes at an intersection. Errors such as undershoots and overshoots must also be removed. For scanned maps, blemishes on the source map may need to be removed from the resulting raster. For example, a fleck of dirt might connect two lines that should not be connected.

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