For most people, the world map is something so familiar that it rarely gets questioned. Africa sits roughly in the middle. Europe is above it. India is to the east. Greenland appears surprisingly large. Russia stretches across an enormous section of the northern hemisphere. But take the same countries and continents and put them on a globe, or on a map designed to preserve area, and the picture changes. This is the idea behind Equal Earth, a map projection designed to represent countries and continents according to their relative land area.

Greenland shrinks. Africa becomes much larger. Europe occupies far less space than many classroom maps suggest. The northern parts of the world lose some of the visual dominance they acquire on conventional maps.

The projection has gained new attention after the United Nations General Assembly backed a resolution encouraging the use of equal-area world maps. The resolution, led by Togo and supported by 164 countries, promotes Equal Earth as a more representative way of showing the size of the world’s landmasses. The important part of the story, however, is not that a new map has suddenly appeared. Equal Earth was created eight years ago. What has changed is the attention being given to the idea behind it.

Map: Round Earth Without Making Compromises

The Earth is roughly spherical. A conventional map is flat. That creates a problem that cartographers have dealt with for centuries: flattening a globe inevitably changes something. A map can preserve area, but distort shape. It can preserve direction, but distort size. It can attempt to balance several forms of distortion, but cannot eliminate all of them.

The famous Mercator projection is a good example. Developed by Gerardus Mercator in 1569, it was designed primarily for navigation. Its great advantage was that it preserved angles and made it easier for sailors to plot courses using compass bearings. It was not designed to show the relative size of countries. Yet the projection became one of the most familiar representations of the world.

That creates some striking visual differences. On a Mercator map, areas become increasingly enlarged towards the poles. Greenland therefore appears vastly larger than it really is relative to Africa. In reality, Africa covers about 30.4 million square kilometres, while Greenland covers about 2.2 million square kilometres. Africa is roughly 14 times larger.

A map cannot change that geographical fact. But the projection used to draw it can make the difference difficult to see.

Equal Earth Starts With a Different Question

Instead of asking how to preserve direction, Equal Earth asks a different question: What if the area occupied by a country on the map should correspond to its actual area on Earth? That is what makes it an equal-area projection.

Equal Earth was introduced in 2018 by cartographers Bojan Šavrič, Tom Patterson and Bernhard Jenny. Their objective was to create an equal-area world map that was also visually balanced and suitable for general use. The projection was inspired partly by the Robinson projection, but unlike Robinson, it preserves the relative size of areas. The result looks familiar enough to be recognisable as a world map, but the proportions are different. Africa gets the space its area deserves.

South America appears considerably larger relative to Europe. India and other countries at lower latitudes no longer look as small compared with countries farther north. Greenland is no longer visually comparable with Africa. It stops making Africa look smaller.

What Does “Equal Area” Actually Mean?

It does not mean every country is made the same size.

“Equal” in Equal Earth refers to the preservation of area, not equality between countries. If Country A has twice the land area of Country B, an equal-area projection will preserve that relationship on the map. This becomes particularly useful when maps are being used to compare geographical phenomena.

An equal-area projection prevents the map itself from exaggerating some regions simply because of where they are located on the globe.

Why Does Africa Look So Different?

Africa is at the centre of much of the current discussion because the continent is particularly affected by the distortion of the Mercator projection. Most of Africa lies closer to the equator than Europe, North America and Russia. The farther north or south one moves from the equator, the greater the enlargement becomes on a Mercator map.

As a result, northern countries and territories occupy disproportionately large areas on the map, while Africa appears comparatively compressed.

Mercator’s projection was created for navigation in the 16th century. Its distortions are a consequence of the mathematical properties that make it useful for that purpose. But once a particular map becomes the dominant image of the world, its visual effects can influence how people understand geographical scale. That is one reason the Equal Earth debate has moved beyond cartography.

Map Can Influence How We Imagine the Planet

A student looking at a world map may not know the actual area of Africa, Greenland or South America. The map becomes the reference point. If Greenland looks almost as large as Africa, the brain absorbs that relationship before a textbook provides the numbers. This is why the choice of projection matters in education.

An equal-area map does not necessarily provide a more useful map for every lesson. But when the lesson is about how much land exists where, preserving area becomes important. The same principle applies to news graphics.

A map showing global temperatures, deforestation or agricultural production can communicate a very different impression depending on the projection used. The projection is therefore part of the information being presented, even when the audience never notices it.

Not a Perfect Picture of Earth either

There is an important misconception to avoid. Equal Earth does not eliminate distortion. No flat map can. Because the Earth is curved, every projection has to compromise somewhere. Equal Earth preserves area, but shapes and distances are not perfectly preserved. That is why cartographers use different projections for different purposes. A navigation chart may benefit from Mercator.

A map comparing the size of continents may benefit from Equal Earth. A map intended to show a general visual impression of the world may use another projection altogether. There is no single map that is mathematically perfect for every purpose.

Why the UN’s Decision Matters

The UN resolution does not legally abolish the Mercator projection. It encourages countries, educational institutions and organisations to consider equal-area alternatives, particularly Equal Earth. The resolution is therefore better understood as a recommendation about representation rather than a global cartographic mandate.

The vote also reflects a broader argument about how geographical knowledge is presented.

Togo and other African countries have argued that the familiar world map does not adequately communicate the actual scale of Africa. The campaign has therefore connected cartographic accuracy with representation and the legacy of how the world has historically been depicted.

The debate is not really about whether Africa should be made to look bigger. It is about whether a map used to teach and communicate geography should give viewers a reasonably accurate impression of the relative size of the world’s landmasses. The next time you see a world map, it is worth asking one question before reading it: What does this map preserve?

The Rasuwa disaster (Nepal flash floods) has killed more than 1,000 people in Nepal and China and left thousands missing. The catastrophe exposes a harder problem than the absence of an alarm: how do you protect communities and infrastructure when mountain hazards can cascade within minutes?

On the morning of August 26, a mass of ice and rock broke loose high in Nepal’s Rasuwa district and plunged roughly 1,200 metres into the valley below. Within minutes, the resulting debris and water surged into the Bhotekoshi River system.

A week later, the scale of the disaster is far clearer and far more devastating than initial reports suggested. Nepal’s National Disaster Risk Reduction and Management Authority (NDRRMA) has reported 1,050 deaths and 3,916 people missing. China has reported another 16 deaths and 546 missing in the affected area across the border, taking the combined death toll to 1,066. More than 11,800 people have been rescued in Nepal, but the search continues in remote valleys and at damaged hydropower projects. The numbers continue to shift as rescue teams recover bodies and families search for missing relatives.

Nepal flash floods expose the limits of early warning

Researchers analyzing satellite imagery, seismic signals, and video footage say the flood was likely triggered by an ice-rock avalanche rather than a conventional glacial lake outburst flood (GLOF). The distinction matters: while a glacial lake’s water levels and drainage systems can be monitored for early warnings, an unstable mountain slope can fail suddenly, turning a quiet landscape into a debris corridor within minutes.

A disaster that outran the warning system

ICIMOD’s assessment notes that the collapse occurred around 8:37 am Nepal Standard Time, producing a magnitude 5.2 seismic signal. Hydrological data shows how rapidly the event unfolded: water levels on the Trishuli River at Galchchi rose nine metres in just 30 minutes, while levels at Malekhu rose seven metres in a similar window, washing away several monitoring stations in the process.

This highlights a hard reality in disaster management: a warning system is only useful if there is enough lead time to act.

Dr. Farooq Azam, Senior Cryosphere Specialist at ICIMOD, described the Rasuwa event as a sudden-onset hazard with no detection and no time for warnings. Because deep-seated bedrock or sub-glacial instabilities remain invisible to standard surveillance, identifying a failure point in advance is rarely possible. The take-away isn’t that early-warning systems are useless, but rather that they cannot be the sole pillars of Himalayan safety.

From early warning to early preparedness

When casualties run into the thousands, the scope of the problem extends far beyond simple flood management. Nearly 1.6 million people have been affected across a broad area, with extensive destruction to roads, bridges, markets, communications, and power grids. As of September 1, NDRRMA figures show at least 639 hydropower workers missing, while over 21,000 security personnel remain deployed for search and rescue.

When a sudden mountain hazard strikes, built infrastructure often compounds the catastrophe. Destroyed roads delay emergency crews, collapsed bridges isolate entire villages, damaged power plants force dangerous confined-space rescues, and lost monitoring stations blind teams downstream.

Because of this, Azam advocates shifting focus toward long-term resilience: stricter land-use planning, safer infrastructure siting, and public awareness of high-altitude risks. He emphasizes that environmental impact assessments must evaluate how a shifting mountain landscape will affect a project over its entire operational lifetime—not just during construction. Planners can no longer just ask if a bridge or power plant can survive today’s weather; they have to design for conditions 30, 50, or 70 years down the line.

The Himalayas are not a static landscape

While current scientific evidence does not draw a direct line from climate change to this single avalanche, the event occurred within a mountain ecosystem experiencing rapid physical changes.

Glaciological assessments show accelerating mass loss across the Himalayas, with negative mass balance recorded in 89% of observed years over the last five decades. The Hindu Kush Himalaya region has also seen significant 21st-century warming, rising between 0.15°C and 0.60°C per decade.

These shifts ripple through the whole ecosystem. Snow cover patterns are shifting, permafrost is thawing, and slope stability is deteriorating. Thawing permafrost is particularly concerning high up, where frozen ground acts as a natural glue; as it thaws, erosion, landslides, and slope failure increase, directly threatening down-valley infrastructure. Climate change doesn’t need to directly trigger an avalanche to make the entire region significantly more fragile.

Black carbon is another pressure on the cryosphere

Particulate pollution presents another major stressor. A study by Climate Trends found that black carbon concentrations on the Indian side of the Himalayas rose by roughly 7.74% between 2000–09 and 2010–19. The study recorded a notable jump in average snow-surface temperatures, which rose from -11.27°C (2000–09) to -7.13°C (2020–23).

Black carbon darkens snow, reducing its reflectivity and accelerating surface melting. Because mountain ice acts as a natural water reservoir for downstream populations, this melting threatens long-term water security. While black carbon didn’t explicitly cause the Rasuwa slide, it underscores why regional environmental risks must be tackled holistically rather than in isolated hazard buckets.

The problem begins with where we build

Ultimately, the hardest questions around Rasuwa are geographical: Where are we building towns, laying roads, and placing power plants?

Over recent decades, infrastructure has steadily encroached onto lower riverbanks and active floodplains. While older communities historically built on higher ground to avoid active river channels, modern land-use planning frequently ignores these natural boundaries. Bringing local and indigenous geographical knowledge back into modern engineering decisions is a practical starting point for adaptation.

Anjal Prakash, Professor of Public Policy at FLAME University and an IPCC author, points out that the region does not suffer from a lack of science. Researchers have tracked retreating glaciers, changing permafrost, and rising snowlines for decades. The failure, he argues, lies in policy— translating well-documented risks into smarter zoning and construction choices.

A regional disaster cannot be managed country by country

The Rasuwa crisis also demonstrates why disaster planning cannot stop at national borders. The affected river systems cross international boundaries, the failure originated near the Nepal-China border, and the resulting debris washed through multiple downstream jurisdictions.

The World Meteorological Organization points to this as a clear example of cascading transboundary hazards. Aarti Khosla, Director of Climate Trends, similarly notes that risks across the Hindu Kush Himalaya affect India and neighboring countries equally, requiring joint approaches to monitoring, early warning, and climate adaptation.

Data sharing across borders is essential. A flood warning downstream in one country often relies on sensor data from upstream in another. When development choices or infrastructure failures in one nation can trigger impacts across the border, regional coordination becomes a necessity rather than an option.

The future risk is not just more floods

Disaster risk in the Himalayas is often oversimplified into a single concept: Glacial Lake Outburst Floods (GLOFs).

GLOFs are a major threat, but the vocabulary needs to expand. The mountains face ice falls, rockslides, landslide-dammed rivers, debris flows, and slope failures—often interacting all at once. An avalanche blocks a river; the temporary dam holds back water until it breaches; the resulting torrent sweeps up massive amounts of rock and earth; the debris wipes out bridges and monitoring equipment, leaving downstream teams blind to what is coming next. Preparing for mountain hazards means preparing for these linked multi-stage events, not just isolated floods.

What preparedness should look like now

A practical response requires pairing early-warning technology with long-term climate adaptation:

• Diversify warning networks: Expand river sensors, satellite tracking, and local alert channels where lead time exists, while planning for events that offer no notice at all.

• Update zoning and land use: Base building regulations on dynamic river and slope modeling rather than static historical maps.

• Mandate life-cycle risk assessments: Require infrastructure projects to factor in climate and cryosphere projections over their entire intended lifespan.

• Build system redundancy: Ensure communications, transit routes, and monitoring stations have backups so a single failure point doesn’t collapse an entire emergency response.

• Integrate local knowledge: Use community insights on historical floods and terrain stability alongside satellite and scientific data.

• Formalize transboundary cooperation: Share real-time hydrological, seismic, and weather data across international borders.

The mountains are changing. Policy must catch up.

The long-term outlook for the region is stark. Under high-emissions scenarios, Himalayan glaciers could lose over 60% of their volume by 2100; even moderate scenarios project losses of up to 35%.

These projections outline a fundamental transformation of the mountain environment. Glacial retreat initially leads to periods of higher runoff—”peak water”—followed by declining long-term water availability, directly impacting farming, drinking water, and energy production across South Asia.

As UN Climate Change Executive Secretary Simon Stiell has noted, rising temperatures are making severe mountain disasters more frequent. In the Himalayas, the core issue is that expanding human settlements and multi-million-dollar infrastructure projects are sitting in the path of a rapidly changing landscape designed around historical climate assumptions.

When a mountain moves without warning, safety relies entirely on decisions made years or decades before the collapse happens.

Scientists have mapped the distribution of Earth’s wind-blown sand dunes at a global scale, providing a new way to study how sediment, wind and climate shape some of the planet’s driest landscapes. A sand dune is a hill or ridge of loose sand that has been formed and shaped by the wind. Dunes are commonly found in deserts and along beaches, wherever there is plenty of loose sand and enough wind to move it. Sand dunes are mainly classified into barchan (crescent-shaped), linear, star, parabolic, and transverse dunes, based on their shape and wind patterns.

The study, published in Nature Communications, finds that dune formation cannot be explained by aridity or wind speed alone. In dry regions, dunes are strongly associated with the movement of sediment towards areas where it accumulates. In wetter regions, stronger winds are needed to move enough sand to overcome the effects of vegetation and other surface conditions.

Andrew Gunn, a researcher at Monash University’s School of Earth, Atmosphere and Environment, built the map using globally available satellite imagery and topographic data. The resulting dataset identifies dunes across Earth’s continents and distinguishes their different forms.

The map covers dunes detected across about 7.8% of Earth’s surface. Their distribution is concentrated largely in the lower mid-latitudes, although the study found that the presence of dunes depends on a combination of sediment supply and the way wind transports that material.

Wind is Only Part of the Story

A desert may have strong winds and still lack dunes.

That is because wind needs loose sediment to move. The study found that in arid landscapes, the location of a dune field is closely tied to the availability and movement of sediment. Where material is supplied from several directions and transported towards the same area, sand can accumulate and produce dunes.

The picture changes in places with more rainfall. Vegetation and surface moisture can hold sediment in place, meaning winds need to be stronger before enough sand starts moving to build dunes.

The distinction matters when scientists use dunes as evidence of past environments. A dune’s shape and orientation can preserve information about the winds that formed it, but those features can also reflect the source and movement of the sand itself.

The researchers demonstrated this using barchan dunes, the crescent-shaped formations commonly found in areas where winds blow predominantly in one direction. Their orientation can provide information about wind direction, while their arrangement can also reveal something about sediment transport.

A Reference Point for Past Climates

Dunes can outlast the conditions that created them. Their position and form can therefore provide clues about earlier wind regimes, sediment movement and climate, particularly in places where direct observations do not exist. The new dataset gives researchers a consistent global reference rather than requiring them to compare separate regional maps made using different methods. That could be useful for studies of how dry landscapes have changed over time and how wind-driven erosion may respond to shifts in climate.

The map also has a planetary application. Mars has extensive dune fields, but scientists cannot measure its surface winds with anything close to the coverage available on Earth. Dune forms are therefore among the clues used to reconstruct Martian surface conditions.

The Earth dataset does not provide a direct translation from one planet to the other. Instead, it gives researchers a better understanding of how particular dune shapes relate to wind and sediment on Earth, which can inform interpretations of similar landforms on Mars.

The study’s value gives scientists a common dataset for asking why dunes occur where they do — and what their patterns can tell us about the landscapes that produced them.