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Airleaf
Aerial study of a dense urban district organized around a green corridor
All Tunisia reports

City report · Tunisia

Sīdī Ḥusayn

Measured across a 2 km radius around Sidi Hassine, Tunis, Tunisia (12.57 km²)

Tree cover
7.1%
Air quality
33Good
Trees in this area
17.1K
More trees needed
55.3K
Area analyzed
9.65 km²land, in a 12.57 km² circle
Satellite image
Sep 24, 2026
Dark green marks tree cover detected inside the study radius.Sentinel-2 L2A (ESA Copernicus) via Earth Search, captured Sep 24, 2026

Sīdī Ḥusayn's tree count comes to 17,130 trees across 9.65 km² of land — 23 points below the 30% tree-cover level considered healthy for this area, meaning roughly 55,252 more trees would close the gap. Air quality currently reads AQI 33 (Good): Air quality is satisfactory for everyone.

Tree cover detail

Tree cover in Sīdī Ḥusayn: Critically low

7.1% tree cover against a 30% healthy-neighborhood target, across 9.65 km² of land.

23 points below target

Trees in this area

17,130

Target trees

72,382

More trees needed

55,252

CO₂ if planted / yr

1,216 t

Air quality detail

Air quality in Sīdī Ḥusayn today: AQI 33, Good

Observed Oct 19, 12:00 local time via Open-Meteo / CAMS, US EPA index. Values in µg/m³.

Model estimate · no ground station nearby

Health signal

Air quality is satisfactory for everyone.

PM2.5

5.7

PM10

9.8

NO₂

2.5

O₃

79.0

SO₂

2.2

CO

127.0

Deforestation · 2001–2025

How much forest has Sīdī Ḥusayn lost?

There was very little forest around Sīdī Ḥusayn in 2000, about 54 hectares, and about 4 hectares of it has been lost since. Only fairly dense woodland counts as forest in these maps, so scattered street and garden trees don't show up here.

Satellite image of the area around Sīdī Ḥusayn, July 2017

2017: satellite photo from July 2017 of a 5 × 5 km area in the city centre.

The worst year was 2003, when about 1 hectares of forest were lost.

Forest lost each year around Sīdī Ḥusayn, 2001–2025

Hectares of forest lost each year

Forest lost each year around Sīdī Ḥusayn, 2001–2025. Use the left and right arrow keys to read each year.1.2

Show the figures as a table
Forest lost each year around Sīdī Ḥusayn, 2001–2025
YearCleared for goodCan grow backTotal
2001under 1 haunder 1 haunder 1 ha
2002under 1 haunder 1 haunder 1 ha
2003under 1 haunder 1 ha1 ha
2004under 1 haunder 1 haunder 1 ha
2005under 1 haunder 1 haunder 1 ha
2006under 1 haunder 1 haunder 1 ha
2007under 1 haunder 1 haunder 1 ha
2008under 1 haunder 1 haunder 1 ha
2009under 1 haunder 1 haunder 1 ha
2010under 1 haunder 1 haunder 1 ha
2011under 1 haunder 1 haunder 1 ha
2012under 1 haunder 1 haunder 1 ha
2013under 1 haunder 1 haunder 1 ha
2014under 1 haunder 1 haunder 1 ha
2015under 1 haunder 1 haunder 1 ha
2016under 1 haunder 1 haunder 1 ha
2017under 1 haunder 1 haunder 1 ha
2018under 1 haunder 1 haunder 1 ha
2019under 1 haunder 1 haunder 1 ha
2020under 1 haunder 1 haunder 1 ha
2021under 1 haunder 1 haunder 1 ha
2022under 1 haunder 1 haunder 1 ha
2023under 1 haunder 1 haunder 1 ha
2024under 1 haunder 1 haunder 1 ha
2025under 1 haunder 1 haunder 1 ha

What is causing deforestation around Sīdī Ḥusayn?

  • Towns and roadscleared for good41% · 2 ha
  • Farms, pasture and plantationscleared for good5.1% · under 1 ha
  • Unknown causescause unknown49% · 2 ha

Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.

Forest gained and lost, 2000–2020

Forest in 2000
91 ha
Forest in 2020
106 ha
Overall change
+15 hamore forest than in 2000

Comparing satellite maps from 2000 and 2020, the forest around Sīdī Ḥusayn grew from about 91 hectares to 106 hectares, a net gain of about 15 hectares. New forest grew on about 18 hectares, while 3 hectares were lost.

These 2000 and 2020 maps, from the University of Maryland, count any land with trees taller than 5 m as forest, including plantations and orchards. Forest that was cut or burned and had grown back by 2020 counts in both years, so the loss here is smaller than the yearly figures.

These figures cover everything within 10 km of the city centre, a wider area than the report above, because forest is usually lost at a city's edges.

Source: Hansen/UMD/Google/USGS/NASA, Global Forest Change (GFC-2025-v1.13); causes: WRI/Google DeepMind drivers of forest loss; both CC BY 4.0, summed by Airleaf for each area. Forest gained and lost 2000–2020: Potapov et al. 2022, UMD GLAD Global Land Cover and Land Use Change, CC BY 4.0. Images: contains modified Copernicus Sentinel data. How it's measured

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Sīdī Ḥusayn tree cover and air quality — measured by Airleaf
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Frequently asked

Questions about Sīdī Ḥusayn

What is the tree count in Sīdī Ḥusayn?

Sīdī Ḥusayn has an estimated 17,130 trees across the 9.65 km² of land measured — 7.1% tree cover, 23 percentage points short of the 30% tree-cover target set for this area.

How many more trees does Sīdī Ḥusayn need?

Sīdī Ḥusayn needs roughly 55,252 more trees to close a 23-point shortfall against its 30% tree-cover target — about 1,216 t of extra CO₂ absorbed per year once grown.

What is the air quality (AQI) in Sīdī Ḥusayn right now?

The latest reading for Sīdī Ḥusayn shows an AQI of 33 (Good), observed Oct 19, 12:00 local time via Open-Meteo / CAMS, US EPA index. Air quality is satisfactory for everyone.

How much forest has the area around Sīdī Ḥusayn lost since 2001?

There was very little forest around Sīdī Ḥusayn in 2000, about 54 hectares, and about 4 hectares of it has been lost since. Only fairly dense woodland counts as forest in these maps, so scattered street and garden trees don't show up here. Comparing satellite maps from 2000 and 2020, the forest around Sīdī Ḥusayn grew from about 91 hectares to 106 hectares, a net gain of about 15 hectares. New forest grew on about 18 hectares, while 3 hectares were lost.

How is Sīdī Ḥusayn's tree cover and air quality measured?

Tree cover is measured from Sentinel-2 L2A (ESA Copernicus) via Earth Search satellite imagery at 10 m detail across a 2 km radius around Sidi Hassine; the tree count is an estimate derived from that cover. Air quality comes from ground monitoring stations via OpenAQ where one reports nearby, and otherwise, as here, from the Open-Meteo / CAMS model, which may differ from street-level monitors.

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