Connecting spatial analysis to the UN Sustainable Development Goals (SDGs) to measure global progress.
Can a satellite orbiting 700km above the Earth tell us if a city is becoming more liveable or if a hidden forest is disappearing? In the race to save our planet, GIS is the ultimate scoreboard.
To track the UN Sustainable Development Goals (SDGs), we need more than just numbers; we need locations. Spatial Indicators are measurable data points tied to specific geographic coordinates. For example, SDG 11 (Sustainable Cities) uses the indicator of 'access to public transport.' Instead of just asking how many buses a city has, GIS maps the walking distance (usually 500m) from residential zones to bus stops. This spatial approach reveals 'transport deserts' that traditional statistics might miss. By layering demographic data over environmental maps, we can identify exactly where development is lagging.
Quick Check
Why is a spatial indicator more effective than a simple statistic for tracking SDG 11?
Answer
Because it identifies 'where' the gaps are (e.g., transport deserts) by linking data to specific geographic locations and proximity.
Sustainable cities require nature. To monitor progress toward SDG 11.7, geographers calculate the Urban Green Space Ratio (). This is done by classifying satellite imagery into 'green' (vegetation) and 'non-green' (concrete/buildings) pixels. We use the Normalized Difference Vegetation Index (NDVI) to identify healthy plants. Once the areas are calculated, we use the ratio of green area () to the total urban area (). This metric helps urban planners decide where to plant new parks to mitigate the Urban Heat Island effect.
A small district has a total area of . After performing a supervised classification on a satellite image, you find that is covered by parks and trees.
SDG 15 (Life on Land) focuses on protecting forests. Geographers use Temporal Analysis (comparing data over time) to monitor deforestation. By taking a 'baseline' image from year and comparing it to a 'current' image at year , we can perform Change Detection. This allows us to calculate the Annual Deforestation Rate (). If a protected area shows a high , it triggers an immediate alert for conservationists to investigate illegal logging or land clearing.
A protected rainforest was in 2018 (). By 2023 (), satellite data shows it has shrunk to .
Quick Check
What GIS technique is used to compare forest cover between two different years?
Answer
Change Detection (or Temporal Analysis).
A city wants to increase its green ratio from to . If the total city area is , how many square kilometers of new green space must be added?
1. Calculate current green area: . 2. Calculate target green area: . 3. Subtract the difference: . 4. Challenge: If each new park is , the city needs to build 20 parks.
Which SDG is most directly monitored by calculating urban green space ratios?
If a forest loses over 4 years, what is the annual deforestation rate ()?
NDVI is a spatial indicator used to identify healthy vegetation in satellite imagery.
Review Tomorrow
In 24 hours, try to explain to someone how you would use two satellite images from different years to prove a forest is shrinking.
Practice Activity
Find a map of your local city and try to estimate the Green Space Ratio for your specific neighborhood using the formula learned today.