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Use of Remote Sensing and GIS in Agriculture and Related Disciplines

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Presentation on theme: "Use of Remote Sensing and GIS in Agriculture and Related Disciplines"— Presentation transcript:

1 Use of Remote Sensing and GIS in Agriculture and Related Disciplines
Dhammika Dayawansa Department of Agricultural Engineering Faculty of Agriculture University of Peradeniya

2 Geo-Informatics Education at University of Peradeniya
Two postgraduate programmes Postgraduate Institute of Agriculture - PGIA Postgraduate Institute of Science – PGIS Course on GIS and Remote Sensing for other postgraduate students Applications in research Undergraduate programmes Courses on remote sensing and GIS are offered for the undergraduates in many faculties including Arts, Agriculture, Science and Engineering Use of geo-informatics technology in undergraduate research Short term training programmes

3 Remote Sensing acquisition of information of an object or a process, without physical contact Remote Sensing data sources Satellite images Aerial photographs

4 Geographical Information Systems (GIS)
A system that captures, stores, analyzes, manages, and presents data that are linked to locations Can relate different information in a spatial context

5 Geo-Informatics and agriculture
Remote Sensing, GIS and allied disciplines can be used in Assessment of crop area extent Management of water resources Identification of pest attacks and diseases Yield assessment studies Land suitability assessment for agriculture Disaster management Precision agriculture

6 Assessment of crop area extent
Assessment of crop area extent is useful in yield forecasting, water and other input management Satellite images can be used to identify the crops using Visual interpretation Digital image interpretation Expert classification techniques – knowledge based classifier

7 Assessment of crop area extent
Paddy areas in Mahaweli System C with different false colour composites (FCCs)

8 Paddy area extracted by visual interpretation of IRS LISS II images
Paddy area extracted by supervised classification of IRS LISS III image Paddy area extracted by supervised classification of ASTER image Use of suitable satellite sensor in identification of crop areas is important to improve the accuracy of the output

9 Management of water resources
Identification and mapping of surface water Infrared satellite images – Identification of surface water bodies Inventory of water bodies, reservoir capacity calculation, identifying seasonal fluctuations of water levels

10 Identification of tank water levels and irrigation command areas

11 Water resources management with RS and GIS
Irrigated lands assessment and inventory Calculation of water requirement of crops and subsequent water budgeting for command areas Assessment of water availability in rivers and reservoirs for optimal management to meet irrigation demand Based on empirical relations with surface area, shoreline length and volume or based on topographic features - Determine volume of water stored and change in the level with time

12 Water resources management with RS and GIS
- Delineation of water logged /saline areas - Identification of aquatic vegetation associated with water logging - Eutrophication and pollution monitoring

13 Assessment of land degradation using Geo-Informatics

14 Assessment of crop yield and yield forecasting
Mostly based on vegetation indices such as Normalized Difference Vegetation Index (NDVI) - By developing relationships between yield & other crop parameters eg: canopy cover biomass content

15 Identification of pest attacks and diseases
Based on changes in pigmentation chlorophyll content leaf orientation vegetative characteristics tillering, branching

16 Land suitability assessment for agriculture
Land suitability for a given crop is based on Soil characteristics Existing land use Climatic factors such as rainfall and temperature Topography Availability of transportation facilities and agricultural labour Availability of water sources for irrigation

17 Land suitability assessment for agriculture
Land suitability can be assessed through the modeling capabilities available in GIS

18 Disaster management - Disaster forecasting
eg: Floods, Droughts, Cyclones, Forest fires Disaster affected area estimations eg: Flooded area Drought prone agricultural lands Forest Fires

19 Precision agriculture
To identify potential agricultural lands considering * water availability * Soil salinity, fertility * Topography To identify fish resources in inland and marine aquaculture Crop Health Soil Fertility

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21 Remote Sensing GIS Sustainable Agriculture Collaboration

22 Thank you very much for your attention


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