Land suitability analysis is a methodical assessment process used to evaluate the compatibility of a piece of land for specific purposes, such as agriculture, urban development, or conservation. By considering various factors such as soil quality, topography, climate, and land use regulations, this analysis helps stakeholders make informed decisions regarding land management and development, ensuring optimal utilization while minimizing environmental impacts.

1. LAND
SUITABILITY
ANALYSIS

2. 111 112 113 114
115 116 117 118
119 120 121 122
123 124 125 126
127 128 129 130
Village
River Highway
LAND PARCELS

3. LAND SUITABILITY ANALYSIS FOR SOLID WASTE LANDFILL SITE
A Solid Waste Landfill site needs to suitably located. The activity may be polluting to an extent. Find the most suitable
land parcel for the local government for the said Solid Waste Landfill site.
Plot No 111 112 113 114 115 116 117 118 119 120
Price 1566 1922 2781 2958 2675 1566 3098 30022 3312 2313
Plot No 121 122 123 124 125 126 127 128 129 130
Price 2974 1576 956 1564 1234 987 1211 1743 2021 2567
Land Price (in Rs per sqm)
Predominant Land use Parcel No.s
Agriculture 111, 116, 119, 120, 126, 130, 123, 127
Barren/ Vacant/ Rocky 115, 112, 117, 129
Grassland/ Pasture Land 121, 122, 128, 124, 125
Settlement 114, 118
Hilly Undulated Scrubs 113
Parcel No.s Slope
111,124,115,117,121,122,128,127
,125,129
<10%
112,114,118,116,119,120,126,123 10-20%
130, 113 >20%
Land Parcel Land use Slope ( in %)

4. STEPS INVOLVED
STEP - 1 STEP - 2 STEP - 3 STEP - 4
STEP - 5 STEP - 6 STEP - 7
IDENTIFICATION OF
PARAMETERS
SCORING LOGIC OF
PARAMETERS
CONVERTING SPATIAL
DATA TO MATRIX DATA
NORMALIZE EACH
PARAMETER
ADDING WEIGHTAGES FORMING INDEX FOR
EACH LAND PARCEL
FINALIZING SUITABLE
LAND PARCEL

5. STEP – 1 (IDENTIFICATION OF PARAMETERS)
P1 Land Price
P2 Land Use
P3 Slope
P5 Proximity to River
P6 Proximity to Village
P7 Proximity to Forest
P4 Proximity to Highway

6. Parameter Weightages Most Suitable (3) Somewhat Suitable (2) Least Suitable (1)
Land Price 1 Low Cost Medium Cost High cost
Land use 2 Barren Grassland, Hilly Undulated
Scrubs, Agriculture
Settlement
Slope 1 <10% 10-20% >20%
Proximity to Highway 1 Close Near Far
Proximity to River 2 Far Near Close
Proximity to Village 1 Close Near Far
Proximity to Forest 2 Far Near Close
STEP – 2 (SCORING LOGIC OF PARAMETERS)

7. LAND
PARCEL
P1 Land
Price
P2 Land use P3 Slope P4 Px HW P5 Px River P6 Px Village P7 Px Forest
111 Low Cost Agriculture Slope <10% Far Near Near Near
112 Low Cost Barren 10-20% Near Near Near Near
113 High cost Hilly Undulated
Scrubs
>20% Close Far Far Far
114 Medium Cost Settlement 10-20% Close Far Far Far
115 Medium Cost Barren Slope <10% Far Near Near Near
116 Low Cost Agriculture 10-20% Near Near Near Near
117 High cost Barren Slope <10% Close Far Far Far
118 High cost Settlement 10-20% Close Far Far Far
119 High cost Agriculture 10-20% Far Close Close Close
120 High cost Agriculture 10-20% Near Close Close Close
STEP – 3 (CONVERTING SPATIAL DATA TO MATRIX DATA)

8. LAND
PARCEL
P1 P2 P3 P4 P5 P6 P7
121 Medium Cost Grassland <10% Close Far Far Far
122 Low Cost Grassland <10% Close Far Far Far
123 Low Cost Agriculture 10-20% Far Close Close Close
124 Low Cost Grassland <10% Far Close Close Close
125 Low Cost Grassland <10% Near Near Near Near
126 Low Cost Agriculture 10-20% Near Far Far Far
127 Medium Cost Agriculture <10% Far Close Close Close
128 Medium Cost Grassland <10% Far Close Close Close
129 Medium Cost Barren <10% Near Near Near Near
130 Medium Cost Agriculture >20% Near Far Far Far
STEP – 3 (CONVERTING SPATIAL DATA TO MATRIX DATA)

9. LAND
PARCEL
P1 P2 P3 P4 P5 P6 P7
111 3 2 3 1 2 2 2
112 3 3 2 2 2 2 2
113 1 2 1 3 3 1 3
114 2 1 2 3 3 1 3
115 2 3 3 1 2 2 2
116 3 2 2 2 2 2 2
117 1 3 3 3 3 1 3
118 1 1 2 3 3 1 3
119 1 2 2 1 1 3 1
120 1 2 2 2 1 3 1
STEP – 4 (NORMALIZE EACH PARAMETER)

10. LAND
PARCEL
P1 P2 P3 P4 P5 P6 P7
121 2 2 3 3 3 1 3
122 3 2 3 3 3 1 3
123 3 2 2 1 1 3 1
124 3 2 3 1 1 3 1
125 3 2 3 2 2 2 2
126 3 2 2 2 3 1 3
127 2 2 3 1 1 3 1
128 2 2 3 1 1 3 1
129 2 3 3 2 2 2 2
130 2 2 1 2 3 1 3
STEP – 4 (NORMALIZE EACH PARAMETER)

11. STEP – 5 (ADDING WEIGHTAGES TO PARAMETERS)
P1 Land Price
Weightage - 1
P2 Land Use
Weightage - 2
P3 Slope
Weightage - 1
P5 Proximity to River
Weightage - 2
P6 Proximity to Village
Weightage - 1
P7 Proximity to Forest
Weightage - 2
P4 Proximity to Highway
Weightage - 1

12. LAND
PARCEL
P1 P2 P3 P4 P5 P6 P7 TOTAL INDEX ADJ
INDEX
Weightages 1 2 1 1 2 1 2 10 - -
111 3 4 3 1 4 2 4 21 0.7 0.55
112 3 6 2 2 4 2 4 23 0.76 0.65
113 1 4 1 3 6 1 6 22 0.73 0.6
114 2 2 2 3 6 1 6 22 0.73 0.6
115 2 6 3 1 4 2 4 22 0.73 0.6
116 3 4 2 2 4 2 4 21 0.7 0.55
117 1 6 3 3 6 1 6 26 0.86
0.8
118 1 2 2 3 6 1 6 21 0.7 0.55
119 1 4 2 1 2 3 2 15 0.5 0.25
120 1 4 2 2 2 3 2 16 0.53 0.3
STEP – 6 (FORMING INDEX FOR EACH LAND PARCEL)

13. LAND
PARCEL
P1 P2 P3 P4 P5 P6 P7 TOTAL INDEX ADJ
INDEX
Weightages 1 2 1 1 2 1 2 10 - -
121 2 4 3 3 6 1 6 25 0.83 0.75
122 3 4 3 3 6 1 6 26 0.86
0.8
123 3 4 2 1 2 3 2 17 0.56 0.35
124 3 4 3 1 2 3 2 18 0.6 0.4
125 3 4 3 2 4 2 4 22 0.73 0.6
126 3 4 2 2 6 1 6 24 0.8 0.7
127 2 4 3 1 2 3 2 17 0.56 0.35
128 2 4 3 1 2 3 2 17 0.56 0.35
129 2 6 3 2 4 2 4 23 0.76 0.65
130 2 4 1 2 6 1 6 22 0.73 0.6
STEP – 6 (FORMING INDEX FOR EACH LAND PARCEL)

14. STEP – 7 (FINALIZING SUITABLE LAND PARCEL)
• Index = Total Score/ Maximum Score
• Adjusted Index = Total Score - Minimum Score/
Max Score - Minimum Score
• Maximum Score = 30
• Minimum Score = 10
111 112 113 114
115 116 117 118
119 120 121 122
123 124 125 126
127 128 129 130
Village
River Highway
Land Parcel 117and 122 both got high index but 117 is
more suitable because it is diagonally more close to
settlement area