Building the map of Canada’s north

Building the map of Canada’s north

Building the map of Canada’s north

In the winter, the sun barely scrapes the horizon in Canada’s high north. The average lows hover in the 30s, roads are covered in snow and polar bear sightings aren’t uncommon. For those who call Canada’s arctic home, winter is a way of life.

And the only way to truly understand it, as one resident put it to us, is to see it for yourself.

In 2012, teams from Google Canada and Google Earth Outreach touched down in the tiny fly-in community of Cambridge Bay, Nunavut, beginning an ambitious program to map the towns, wildlife and parks of Canada’s arctic. At the time, the digital maps of Canada’s north needed work. When you searched for a shop, a hospital or a school, the map pins would all land on the same spot: the post office. Because that’s where every person and every business had a PO Box. While traditional cartography had captured the inlets and tundra of the north’s physical geography. There were no digital maps that accurately reflected the world of the people living there.

Building the map of Canada’s north

Building the map

Trike in Cambridge Bay

In addition to collecting Street View imagery of the town and surrounding landscape using an oversized tricycle. We worked with the nonprofit. Nunavut Tunngavik. To conduct a “map up” in the local community center. The people of Cambridge Bay. A hamlet of 1,500 people north of the arctic circle. Added streets. Places of worship. And homes directly to the Google Map. This was about more than simply making an accurate and useful map it was about building a virtual bridge between the communities of Canada’s north and the world.

Building the map of Canada’s north

Anna Nahogaloak is an Inuit elder and renowned seamstress in Cambridge Bay. “People are always asking how we live. How we survive”. She said the first time she saw the map zoom in on her village in Google Maps. “I think that it is important for all people to see Nunavut. This will help them understand and learn more about Nunavut. I think that it is important for Inuit people to contribute to the maps. It is important for everybody. The land is everybody’s land. We all share it.”

After Cambridge Bay. Our work in Canada’s north expanded.

and the newly developed Trekker allowed us to bring our Street View cameras to even more remote spots. Our teams traveled to Iqaluit. Collecting Street View imagery from the frozen streets of Nunavut’s capital. Conducting another map up and exploring the frozen landscape from the back of a dogsled. We also partnered with Parks Canada to collect Street View imagery from Canada’s northern parks. Including Quttinirpaaq National Park. Located just 500 miles (800 kilometers) from the north pole. It remains the most northern Street View imagery on Google Maps.

To support the conservation efforts of Canada’s arctic wildlife. Over the past several years we worked with Polar Bears International. And the Arctic Eider Society to take the Street View beyond the towns and onto the arctic’s tundra and ice flows. PBI strapped the trekker to a “tundra buggy” to capture polar bears in their natural environment. And we climbed on board a snowmobile to travel onto the ice of Hudson’s Bay to the small open pools of water where the eider ducks of Canada’s far north spend their winters. The Canadian arctic remains ecologically fragile. Vulnerable to the impacts of climate change. Street View provides a window for Google Maps users worldwide to explore these fragile habitats.

Building the map of Canada’s north

Building the map

Bringing Street View to Canada’s arctic gets us closer to our ultimate goal of creating the world’s most comprehensive. Accurate and usable map. But it’s also more than that. For any community’s sense of place in the digital age, they need to be on the map that’s as true in Toronto as it is in Sanikiluaq (look it up). Chris Kalluk, who lives in Nunavut and helped us collect the Street View imagery of Canada’s north. Thinks about it this way:. “Our home is a place with a vast amount of local knowledge and a rich history. By putting these tools in the hands of our people. We will tell Nunavut’s story to the world.”

Earthtopomaps.com

Earth Gosur https://satellite-map.gosur.com/en/

As we reflect on Google’s 20th birthday this month. We think the story of Canada’s arctic is a story worth being told.

When you searched for a shop, a hospital or a school, the map pins would all land on the same spot: the post office, because that’s where every person and every business had a PO Box. While traditional cartography had captured the inlets and tundra of the north’s physical geography, there were no digital maps that accurately reflected the world of the people living there. In addition to collecting Street View imagery of the town and surrounding landscape using an oversized tricycle. This was about more than simply making an accurate and useful map it was about building a virtual bridge between the communities of Canada’s north and the world.

And the newly developed Trekker allowed us to bring our Street View cameras to even more remote spots.

Conducting another map up and exploring the frozen landscape from the back of a dogsled. We also partnered with Parks Canada to collect Street View imagery from Canada’s northern parks.

When you searched for a shop, a hospital or a school, the map pins would all land on the same spot: the post office, because that’s where every person and every business had a PO Box. While traditional cartography had captured the inlets and tundra of the north’s physical geography, there were no digital maps that accurately reflected the world of the people living there. In addition to collecting Street View imagery of the town and surrounding landscape using an oversized tricycle. This was about more than simply making an accurate and useful map it was about building a virtual bridge between the communities of Canada’s north and the world.

And the newly developed Trekker allowed us to bring our Street View cameras to even more remote spots.

Conducting another map up and exploring the frozen landscape from the back of a dogsled. We also partnered with Parks Canada to collect Street View imagery from Canada’s northern parks.

When you searched for a shop, a hospital or a school, the map pins would all land on the same spot: the post office, because that’s where every person and every business had a PO Box. While traditional cartography had captured the inlets and tundra of the north’s physical geography, there were no digital maps that accurately reflected the world of the people living there. In addition to collecting Street View imagery of the town and surrounding landscape using an oversized tricycle. This was about more than simply making an accurate and useful map it was about building a virtual bridge between the communities of Canada’s north and the world.

And the newly developed Trekker allowed us to bring our Street View cameras to even more remote spots.

Conducting another map up and exploring the frozen landscape from the back of a dogsled. We also partnered with Parks Canada to collect Street View imagery from Canada’s northern parks.

Using AI to find where the wild things are

Using AI to find where the wild things are

Using AI to find where the wild things are

3 min read

Tanya Birch

Program Manager, Google Earth Outreach

Jorge Ahumada

Senior Wildlife Conservation Scientist, Conservation International

Using-AI-to-find

According to the World Wildlife Fund, vertebrate populations have shrunk an average of 60 percent since the 1970s. And a recent UN global assessment found that we’re at risk of losing one million species to extinction, many of which may become extinct within the next decade.

Using AI to find where the wild things are 

To better protect wildlife, seven organizations. Led by Conservation International, and Google have mapped more than 4.5 million animals in the wild using photos taken from motion-activated cameras known as camera traps. The photos are all part of Wildlife Insights, an AI-enabled. Google Cloud-based platform that streamlines conservation monitoring by speeding up camera trap photo analysis.

Using AI to find where the wild things are

With photos and aggregated data available for the world to see, people can change the way protected areas are managed. Empower local communities in conservation, and bring the best data closer to conservationists and decision makers.

Ferreting out insights from mountains of data

Camera traps help researchers assess the health of wildlife species, especially those that are reclusive and rare. Worldwide, biologists and land managers place motion-triggered cameras in forests and wilderness areas to monitor species, snapping millions of photos a year. 

But what do you do when you have millions of wildlife selfies to sort through? On top of that, how do you quickly process photos where animals are difficult to find, like when an animal is in the dark or hiding behind a bush? And how do you quickly sort through up to 80 percent of photos that have no wildlife at all because the camera trap was triggered by the elements, like grass blowing in the wind?

Using AI to find where the wild things are

Processing all these photos isn’t only time consuming and painstaking. For decades, one of the biggest challenges has been simply collecting them. Today, millions of camera trap photos languish on the hard drives and discs of individuals and organizations worldwide.

Illuminating the natural world with AI

With Wildlife Insights, conservation scientists with camera trap photos can now upload their images to Google Cloud and run Google’s species identification AI models over the images. Collaborate with others, visualize wildlife on a map and develop insights on species population health.

It’s the largest and most diverse public camera-trap database in the world that allows people to explore millions of camera-trap images, and filter images by species, country and year.

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Seven leading conservation organizations and Google released Wildlife Insights to better protect wildlife.

On average, human experts can label 300 to 1,000 images per hour. With the help of Google AI Platform Predictions, Wildlife Insights can classify the same images up to 3,000 times faster, analyzing 3.6 million photos an hour. To make this possible, we trained an AI model to automatically classify species in an image using Google’s. Open source TensorFlow framework.

Using AI to find where the wild things are 

Even though species identification can be a challenging task for AI, across the 614 species that Google’s AI models have been trained on. Species like jaguars. white-lipped peccaries and African elephants have between an 80 to 98.6 percent probability of being correctly predicted.

With this data, managers of protected areas or anti-poaching programs can gauge the health of specific species. And local governments can use data to inform policies and create conservation measures. 

The Wildlife Insights Animal Classifier tool helps researchers classify 614 species.

a)Acting before it’s too late

Source: The Keyword

https://earthtopomaps.com/

bActing before it’s too late

cActing before it’s too late

dActing before it’s too late

eActing before it’s too late

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