Geo informatics for land suitability in growing certain crops
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This document outlines a study that aims to model land suitability evaluation for growing certain crops in Lop Buri province, Thailand using geo-informatics technology. The study will integrate land quality factors like soil properties, climate, and erosion risk to create individual and combined land suitability maps for crops like rice, corn, sugarcane, cassava, and sunflower. Field data on crop requirements, soil characteristics, and land use will be analyzed in a GIS along with economic and social data to validate the land suitability maps. The results are expected to improve land management and identify optimal areas for different agricultural activities.
Geo informatics for land suitability in growing certain crops
- 1. Geo- Informatics Technology for Land Suitability in Growing Certain Crops GISTDA , Thailand
- 2. Background Rapid population growth and urban expansion are making available for agriculture a relatively limited and scarce land resources. The mis-management of land is common to the area with unsuitable land, forest reserves and sloping lands encroached upon for agriculture. With the advent of new technologies, the integration of land qualities in land evaluation are effectively accomplished using satellite data and GIS functionalities
- 3. Objective The study aims to model the integration of land qualities to evaluate land, based on FAO guideline, with respect to cultivation practices and minimal soil loss as well as economic availability.
- 4. Problem Definitions II) For a given area of land , what is the most suitable use? I) For a given kind of land use, where are the areas to which it is best suited?
- 5. Expected Results Geo-Informatics database of land suitability in growing certain crops Improvement of land suitability map in both individual and combined crops
- 6. Conceptual Framework Individual and Integrated Land Suitability Map
- 7. Study Area Lop Buri province is located in central part of Thailand between Longitude of 100° 20΄ E to 101° 30΄ E and Latitude of 14° 30΄ N to 15° 40΄ N. and covers an area of about 6650 sq km Physiograpically, the area is formed by flat to gently undulating topography and strong topography. Land cover consists of dipterocarp, mixed deciduous and evergreen forests in the upland, field crops (maize, cassava, sugar cane and sunflower) on the well drained soils and paddy rice on the flat, Low-lying areas Mean annual rainfall is about 1200 mm.
- 8. Methodology Land Suitability Map & Report GIS Database Construction - Crop requirements - Soil-Water conservations Suitability Analysis (FAO,1983) - Factor rating - Overlay Techniques Land Utilization Type - Identification - Description Result Validation - Existing Land Use Map (RS) - Ground survey Economics and Social data - Collection - Analysis
- 9. The overall of land evaluation is based on the integrated requirements of crops, conservation and economic availability
- 10. Crop Requirements Mean Temp pH Soil Depth BS CEC K P Weather Stations Soilgroup Annual Rainfall N Soil Drainage DEM Slope Crop Suitability
- 11. Soil&Water Conservations GIS Modeling : Universal Soil Loss Equation A = RKLSCP Create Surface Soil GIS Database GIS Model K R Point_feature Weather Station C Erosion Risk Map Land Cover Rainfall Select: Soil Series Data p Data Manipulation : Non-spatial Data Edition Interpolation C_table DEM LS
- 12. Land suitability analysis (Factor rating for rice) Land use requirement Factor rating (R) Land quality Diagnostic factor unit S1(1.0) S2(0.8) S3(0.4) N(0) Temperature Mean Temp celsius 22-30 31-33 21-20 34-35 19-18 >35 <18 Moisture Availability Ann. Rainfall mm >1,500 1100-1500 800-1100 <800 Oxygen Availability Soil Drainage class 1,2,3 4 5 6 Nutrient Availability N % >0.5 0.08-0.5 0.04-0.8 <0.04 P PPM >50 25-50 10-25 <10 K PPM >60 30-60 <30 - Nutrient Retention CEC meq/100g soil >15 3-15 <3 - BS % >35 <35 - - Rooting Condition Soil Depth cm >50 25-50 15-25 <15 Soil Toxicities Reaction pH 5.6-7.3 7.4-7.8 5.1-5.5 7.8-8.4 4.0-5.0 >8.4 Topography Slope % <1 1-2 2-4 >4 Erosion Hazard Soil Loss ton/rai/years N/A N/A N/A N/A
- 13. Land suitability analysis (Factor rating for corn) Land use requirement Factor rating (R) Land quality Diagnostic factor unit S1(1.0) S2(0.8) S3(0.4) N(0) Temperature Mean Temp celsius 24-30 31-32 23-20 33-35 19-16 >35 <16 Moisture Availability Ann. Rainfall mm 500-1200 400-500 1200-1600 300-400 >1600 <300 Oxygen Availability Soil Drainage class 5,6 4 3 1,2 Nutrient Availability N % N/A N/A N/A N/A P PPM N/A N/A N/A N/A K PPM N/A N/A N/A N/A Nutrient Retention CEC meq/100g soil >15 3-15 <3 - BS % >35 <35 - Rooting Condition Soil Depth cm >100 50-100 25-50 <25 Soil Toxicities Reaction pH 5.1-7.3 7.4-7.8, 4.5-5.0 7.9-8.4, 4-4.4 >8.4, <4.0 Topography Slope % 0-2 2-4 4-6 >6 Erosion Hazard Soil Loss ton/rai/years <2 2-4 4-12 >12
- 14. Land suitability analysis (Factor rating for sugarcane) Land use requirement Factor rating (R) Land quality Diagnostic factor unit S1(1.0) S2(0.8) S3(0.4) N(0) Temperature Mean Temp celsius 24-27 28-31 23-19 32-35 18-15 >35 <15 Moisture Availability Ann. Rainfall mm 1600-2500 1200-1600 2500-3000 900-1200 3000-4000 <900 >4000 Oxygen Availability Soil Drainage class 5,6 3,4 2 1 Nutrient Availability N % >0.2 0.1-0.2 <0.1 - P PPM >25 6-25 <6 - K PPM >60 30-60 <30 - Nutrient Retention CEC meq/100g soil >15 5-15 <5 - BS % >35 <35 - - Rooting Condition Soil Depth cm >100 50-100 25-50 <25 Soil Toxicities Reaction pH 5.1-7.3 7.4-7.8, 4.5-5.5 7.9-8.4, 4.0-4.5 >8.4, <4.0 Topography Slope % 0-2 2-4 4-6 >6 Erosion Hazard Soil Loss ton/rai/years <2 2-4 4-12 >12
- 15. Land suitability analysis (Factor rating for cassava) Land use requirement Factor rating (R) Land quality Diagnostic factor unit S1(1.0) S2(0.8) S3(0.4) N(0) Temperature Mean Temp celsius 25-29 30-32 24-14 33-35 13-10 >35 <10 Moisture Availability Ann. Rainfall mm 1200-1500 1500-2500 900-1200 2500-4000 500-900 >4000 <500 Oxygen Availability Soil Drainage class 5,6 4 - 1,2,3 Nutrient Availability N % >0.2 0.1-0.2 <0.1 - P PPM >25 6-25 <6 - K PPM >60 30-60 <30 - Nutrient Retention CEC meq/100g soil >10 <10 - - BS % >35 <35 - - Rooting Condition Soil Depth cm >100 50-100 25-50 <25 Soil Toxicities Reaction pH 6.1-7.3 7.4-7.8 5.1-6.0 7.9-8.4 4.0-5.0 >8.4 <4.0 Topography Slope % 0-2 2-4 4-6 >6 Erosion Hazard Soil Loss ton/rai/years <2 2-5 5-15 >15
- 16. Land suitability analysis (Factor rating for sunflower) Land use requirement Factor rating (R) Land quality Diagnostic factor unit S1(1.0) S2(0.8) S3(0.4) N(0) Temperature Mean Temp celsius 18-26 16-18 26-28 13-16 28-30 <13 >30 Moisture Availability Ann. Rainfall mm 400-900 900-1300 300-400 >1300 250-300 <250 Oxygen Availability Soil Drainage class Nutrient Availability N % N/A N/A N/A N/A P PPM N/A N/A N/A N/A K PPM N/A N/A N/A N/A Nutrient Retention CEC meq/100g soil >16 <16 (-) <16 (+) - BS % >35 20-35 <20 - Rooting Condition Soil Depth cm >100 75-100 50-75 <50 Soil Toxicities Reaction pH 6.0-7.5 5.5-6.0 7.5-8.0 5.0-5.5 8.0-8.5 <5.0 >8.5 Topography Slope % 0-2 2-4 4-6 >6 Erosion Hazard Soil Loss ton/rai/years N/A N/A N/A N/A
- 17. Land suitability analysis (Overley Techniques) Crop Requirements Soil & Water Conservation (Soil Erosion) Land suitability map in physical aspect
- 18. Economics and Social data Access to Natural Resources Access to labor and capital Knowledge and Skill Institutional structure Objective function of production B/C ratio Productivity etc. Questionnaires , other documents and some crop yield economic equation Land suitability map in Socio-Economic Aspects Land suitability map in Land quality Aspects
- 19. Result Validation Existing Land use map Ground Survey Validation by Using Error Matrix (Kappa Index) Land suitability map Satellite Image
- 20. The Preliminary factor rating layers for Land suitability Model (Rice) Average Rainfall
- 21. The Preliminary factor rating layers for Land suitability Model Temperature
- 22. The Preliminary factor rating layers for Land suitability Model Soil Drainage
- 23. The Preliminary factor rating layers for Land suitability Model C.E.C.
- 24. The Preliminary factor rating layers for Land suitability Model Base Saturation
- 25. The Preliminary factor rating layers for Land suitability Model Soil Depth
- 26. The Preliminary factor rating layers for Land suitability Model Slope
Editor's Notes
- #2: Good morning lady and gentleman, My name is Supachai Skawsang. I’d like to present to you a research about Geo- Informatics Technology for Land Suitability in Growing Certain Crops. However, this research is now on-going.
- #3: As you know the land resource is a limited resources including rapid population growth, urban expansion and the mismanagement of land. these issues are effected on suitable land use planning. Anyway with the advent of Geo-informatics technologies, the integration of land qualities in land evaluation for land suitability are effectively accomplished by using them, These are crucial reasons that why we interesting to do a research in this topic.
- #4: This study aims to model the integration of land qualities to evaluate land, based on FAO guideline, taking into account both socio-economic consideration and the conservation of environment resources for future use
- #5: There are two problem definitions in this research First is where are the areas to which it is best suited? Individual land suitability map can be used for answer this problem Second one is For a given area of land , what is the most suitable use? Integrated land suitability map can be used for answer this problem
- #6: We expect to obtain a Geo-Informatics database of land suitability in growing certain crops and land suitability map in both individual and combined crops
- #7: For the conceptual framework, land quality assessment and socio-economic are independence variable by using the Geo-informatics for modeling analysis tool, while the Individual and Combined Land Suitability Map are dependence variables Geo-Informatics Technology can be effectively applied to handle such kinds of work and to complete study objectives
- #8: The study area is lopburi province. It is located in central part of thailand and its area about 6650 sqkm. Most of area is formed by flat to gently undulating and strong topography. Land cover consists of different forest type for example dipterocarp, deciduous and evergreen forest and several economics crop such as corn rice cassava to name but a few.
- #9: Considering about research methodology, we start from defined the land utilization type and then, we established a GIS database from crop requirementsand soil-water conservation. After that these data will be analyzed in suitability model to create land suitability map. In the same time, we use Economics and Social data to provide the land suitability in economic aspect also and finally, we will validate this model with Existing Land Use Map and Ground survey
- #11: For the crop requirements, we use weather stations to generate an annual rainfall and mean temperature layers, we use soilgroup layer to create soil drainage, nitrogen, phosporous, potassium, CEC, Base Saturation, Soil depth and soil reaction, furthermore slope layers can be generated from DEM, finally these all output layer will be form to crop suitability by using overlay technique.
- #12: In part of soil and water conservation, we use universal soil loss equation for soil erosion map.
- #13: This is factor rating table in each crop
- #19: Economic and social data will be use to support the suitability in term of cost/benefit analysis
- #20: Existing land use map from satellite image and ground survey will be use to validate the model by using error matrix