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Costa Rica

How to guarantee water access to reduce inequality in Central America

Seynabou Sakho's picture

Four years ago, Juan Angel Sandoval, a resident of Barrio Buenos Aires in the Honduran municipality of Siguatepeque, received water at home only three times a week. His was not an isolated reality. Most of his neighbors, were in the same situation. "It was annoying because the water was not enough," says Juan Angel.

How can electricity subsidies help combat poverty in Central America?

Liliana Sousa's picture


By Liliana D. Sousa


It might be surprising, but the majority of Central American households receive electricity subsidies, benefiting up to 8 out of 10 households in some cases. Without a doubt, this provides many poor and low-income families with access to affordable electricity.

Latin America: Is better technical and technological higher education the answer?

Diego Angel-Urdinola's picture
 
A new World Bank study finds that some Chilean technicians with a two-year degree have education returns that are only slightly lower than those of professionals. (Photo: Dominic Chavez/World Bank)



Two years ago, 23-year-old Pedro Flores became a technician specializing in renewable energy—all thanks to a degree from a technical institute in Maule, located in one of Chile’s poorest regions. After completing his degree in just two years, Flores became the only person in his family to obtain an advanced degree. Today, he lives in Santiago and works for a private solar energy multinational corporation, where he earns a competitive salary that is only slightly below the average for entry-level professionals in his field, most of whom spent over five years in university.

Central America, optimizing the cost of energy through renewables

Mariano González Serrano's picture


Some months ago, during a visit to one of the Central American countries, while we were on a call with the head of the electricity dispatch center, we noticed by the tone of his voice, that he was becoming nervous. Shortly after, background voices could be heard on the line. They were experiencing a crisis and he quickly asked to continue our conversation at another time.

What can satellite imagery tell us about secondary cities? (Part 2/2)

Sarah Elizabeth Antos's picture
In the previous blog, we discussed how remote sensing techniques could be used to map and inform policymaking in secondary cities, with a practical application in 10 Central American cities. In this post, we dive deeper into the caveats and considerations when replicating these data and methods in their cities.

Can we rely only on satellite? How accurate are these results?

It is standard practice in classification studies (particularly academic ones) to assess accuracy from behind a computer. Analysts traditionally pick a random selection of points and visually inspect the classified output with the raw imagery. However, these maps are meant to be left in the hands of local governments, and not published in academic journals.

So, it’s important to learn how well the resulting maps reflect the reality on the ground.

Having used the algorithm to classify land cover in 10 secondary cities in Central America, we were determined to learn if the buildings identified by the algorithm were in fact ‘industrial’ or ‘residential’. So the team packed their bags for San Isidro, Costa Rica and Santa Ana, El Salvador.

Upon arrival, each city was divided up into 100x100 meter blocks. Focusing primarily on the built-up environment, roughly 50 of those blocks were picked for validation. The image below shows the city of San Isidro with a 2km buffer circling around its central business district. The black boxes represent the validation sites the team visited.
 
Land Cover validation: A sample of 100m blocks that were picked to visit in San Isidro, Costa Rica. At each site, the semi-automated land cover classification map was compared to what the team observed on the ground using laptops and the Waypoint mobile app (available for Android and iOS).

What can satellite imagery tell us about secondary cities? (Part 1/2)

Sarah Elizabeth Antos's picture

The buzz around satellite imagery over the past few years has grown increasingly loud. Google Earth, drones, and microsatellites have grabbed headlines and slashed price tags. Urban planners are increasingly turning to remotely sensed data to better understand their city.

But just because we now have access to a wealth of high resolution images of a city does not mean we suddenly have insight into how that city functions.

The question remains: How can we efficiently transform big data into valuable products that help urban planners?

In an effort a few years ago to map slums, the World Bank adopted an algorithm to create land cover classification layers in large African cities using very high resolution imagery (50cm). Building on the results and lessons learned, the team saw an opportunity in applying these methods to secondary cities in Latin America & the Caribbean (LAC), where data availability challenges were deep and urbanization pressures large. Several Latin American countries including Argentina, Bolivia, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama were faced with questions about the internal structure of secondary cities and had no data on hand to answer such questions.

A limited budget and a tight timeline pushed the team to assess the possibility of using lower resolution images compared to those that had been used for large African cities. Hence, the team embarked in the project to better understand the spatial layout of secondary cities by purchasing 1.5 meter SPOT6/7 imagery and using a semi-automated classification approach to determine what types of land cover could be successfully detected.

Originally developed by Graesser et al 2012 this approach trains (open source) algorithm to leverage both the spectral and texture elements of an image to identify such things as industrial parks, tightly packed small rooftops, vegetation, bare soil etc.

What do the maps look like? The figure below shows the results of a classification in Chinandega, Nicaragua. On the left hand side is the raw imagery and the resulting land cover map (i.e. classified layer) on the right. The land highlighted by purple shows the commercial and industrial buildings, while neighborhoods composed of smaller, possibly lower quality houses are shown in red, and neighborhoods with slightly larger more organized houses have been colored yellow. Lastly, vegetation is shown as green; bare soil, beige; and roads, gray.

Want to explore our maps? Download our data here. Click here for an interactive land cover map of La Ceiba.

Investing in wastewater in Latin America can pay off

Diego Juan Rodriguez's picture
We are all too familiar with these figures: on average, only 50% of the population in Latin America is connected to sewerage and 30% of those households receive any treatment. These figures are not new. The region has been lagging in the levels of wastewater treatment for decades, which is unacceptable considering its high levels of urbanization and income levels.

The region is also not homogenous. There is a large disparity in the levels of treatment per country: we see countries like Chile, which treats 90% of its wastewater, and countries like Costa Rica, which treats approximately 4% of its wastewater.
The Deodoro wastewater treatment plant in Rio the Janeiro, Brazil.
Credit: http://www.waterwastewaterasia.com/

Global Infrastructure Forum maps out route towards delivering sustainable infrastructure

Amal-Lee Amin's picture



Last Saturday, tens of thousands of people gathered on the Washington D.C. mall for the March for Science alongside hundreds of sister marches around the world to coincide with Earth Day. Climate change and environmental protection were high on the agenda as the planet continues to warm and countries confront an increasing number of extreme weather events.

Meanwhile, down the road at the Inter-American Development Bank (IDB), the 2017 Global Infrastructure Forum was in full swing, discussing how to deliver inclusive and sustainable infrastructure to ensure we achieve the objectives of the Paris Agreement and the Sustainable Development Goals (SDGs).

Can behavioral change support water conservation? Examples from the US, Colombia and Costa Rica

Juan Jose Miranda's picture


This blog is part of the series "Small changes, big impacts: applying #behavioralscience into development".

While Latin America is rich in water, people’s ability to access safe, reliable water supply remains elusive in most countries. Worse, most countries and major cities in the region will face economic water scarcity in less than a decade. Strategies to manage water scarcity vary, from investing in water recycling facilities to changing consumer behavior.

The most common ways to change consumer behavior are to increase the price or conduct communication campaigns to encourage conservation. Neither solution, however, is guaranteed to succeed. In some cases, they even backfire. Increasing price, for example, can upset citizens who currently pay little for poor quality water. Likewise, if done poorly, communication campaigns can cause panic and increase consumption and water stockpiling, something Bogota faced in 1997 when a tunnel providing water to the city collapsed and caused water shortages.

The Central Matter: An artistic analysis of Central America's Nini subculture

Rafael de Hoyos's picture


On her daily walk down the muddy road that connects her home with school, Beatriz would sing a cumbia and dream of becoming a professional dancer. However, she would soon find out that her aspirations were short lived. At the age of 14, Beatriz got pregnant and never went back to school. In the six years following her pregnancy, she struggled with an unstable and low-paid job, cleaning rich houses in Guatemala City. By the age of 20, without minimum skills and a secure job, Beatriz had little control over her life and a murky picture of her future loomed. 


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