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Haiti land cover / land use mapping

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PhD candidate Richard Lemoine Rodríguez

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Ruhr-Universität Bochum, Germany

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May 27 2021

World Bank – Charcoal in Haiti

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Haiti land cover / land use mapping

Objectives

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-Country-wide high resolution land cover mapping (2000, 2010 & 2017).

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-Field validation campaign.

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-Statistically robust accuracy

assessment.

World Bank – Charcoal in Haiti

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Prepocessing

World Bank – Charcoal in Haiti

Image acquisition

Atmospheric correction

Mosaicking

Histogram matching

Landsat 5, 7 & 8 (30 m)

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Dates: 2000, 2010 & 2017

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Classification

Image segmentation

Trainning samples

Random forest algorithm

Spectral statistics

Density function

Visual inspection

First stage for 2017 map

Second stage for 2010 & 2000

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Classification

Haiti Dominican Republic

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Accuracy assessment of 2017 map

World Bank – Charcoal in Haiti

Stratified random sampling

Interpration of sites

Confusion matrix

Very high resolution images and field data

  • Visual interpretation using very high resolution images by two independent interpreters.

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Accuracy assessment

World Bank – Charcoal in Haiti

Stratified random sampling with 600 sites of 1 ha (~100 per land use / cover class)

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Statistically robust sample

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Map improved with field validation

Field campaign

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Accuracy assessment: Haiti map 2017

World Bank – Charcoal in Haiti

Range of 74-76% of overall accuracy (74% for interpreter A and 76% for B).

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Map

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Class

Water

Urban

Bareland

Tree cover

Grassland

Shrubs

Interpreter

Water

95

0

1

4

0

0

Urban

0

85

0

3

9

3

Bareland

0

1

53

4

34

15

Tree cover

0

0

0

92

8

0

Grassland

0

0

2

16

75

7

Shrubs

0

0

0

17

11

65

Category

Water

Urban

Bareland

Tree cover

Grassland

Shrubs

User Accuracy

0.95

0.85

0.50

0.92

0.75

0.70

Half CI

0.04

0.07

0.09

0.05

0.08

0.09

CI Lower Bound

0.91

0.78

0.40

0.87

0.67

0.61

CI Upper Bound

0.99

0.92

0.59

0.97

0.83

0.79

Prod Accuracy

1.00

0.85

0.94

0.83

0.71

0.33

Half CI

0.00

0.25

0.08

0.05

0.06

0.09

CI Lower Bound

1.00

0.60

0.86

0.78

0.65

0.24

CI Upper Bound

1.00

1.00

1.00

0.88

0.77

0.43

Error Adjusted-Proportion

0.01

0.01

0.12

0.41

0.36

0.08

Half CI

0.00

0.00

0.02

0.03

0.04

0.02

CI Lower Bound

0.01

0.01

0.09

0.38

0.32

0.06

CI Upper Bound

0.01

0.02

0.14

0.45

0.40

0.11

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Classification

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Land use / cover change

World Bank – Charcoal in Haiti

Main land conversion is tree cover to grassland

(89 km2), followed by bareland to shrubs

(39 km2) and shrubs to grassland (38 km2)

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2017

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km2

Water bodies

Urban

Bareland

Tree cover

Grassland

Shrubs

2000

Water bodies

444.81

0.36

11.67

1.88

2.60

0.53

Urban

0.13

387.57

1.68

0.46

1.16

0.13

Bareland

2.17

0.83

6,007.54

2.65

24.80

38.86

Tree cover

1.77

1.17

18.74

9,522.17

89.01

15.72

Grassland

0.20

0.17

4.26

3.76

9,778.03

7.07

Shrubs

1.63

0.53

8.01

6.79

38.00

1,299.03

km2

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Land use / cover change

World Bank – Charcoal in Haiti

The country is mainly covered by grassland,

tree cover and bareland in 2017

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2000

2010

2017

Water bodies

1.67

1.68

1.63

Urban

1.41

1.42

1.41

Bareland

21.92

21.94

21.83

Tree cover

34.80

34.52

34.40

Grassland

35.32

35.69

35.83

Shrubs

4.88

4.76

4.91

Proportion of land

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Haiti’s tree cover

World Bank – Charcoal in Haiti

Articles citing forest cover in Haiti with sources (when available) – most cite UN organizations

Global Land Cover 2000 (1000m)

MODIS Land Cover from 2010 (500 m)

Globcover 2009

(300m)

Haitian Centre for Geospatial Information - 2008

Churches et al., 2014 (30m)

Very different results depending

mainly on spatial resolution

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Haiti’s tree cover

World Bank – Charcoal in Haiti

Global Land Cover 2000 (1000m)

MODIS Land Cover from 2010 (500 m)

Globcover 2009

(300m)

Haitian Centre for Geospatial Information - 2008

Churches et al., 2014 (30m)

-Very high forest fragmentation and

scattered deforestation

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-Need of high to very high

resolution multi-temporal

mapping approaches

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Our results at 30m

2000: 34.80%

2010: 34.52%

2017: 34.40%

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Final messages

World Bank – Charcoal in Haiti

Deforestation is ocurring at low rates at national level, but high in some particular areas.

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Low (1km) to medium spatial resolution (100m) data can’t capture the land cover change dynamics of the country.

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Our high resolution (30m) mapping approach enabled us to detect scattered small deforestation patches in Haiti.

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