Farming of various food crops, plant products and commercial tree products is expanding as a firm base for economic growth and socio-economic development in several parts of Southeast Asia. This has created a need for identifying new areas as well as new methods for further expansion of these activities. The natural (climatic and physiographic) as well as socio-economic and infrastructural conditions supporting the expansion of such activities vary from crop to crop and place to place so it is crucial to perform multi-variate analysis of the suitable conditions in various regions.

The major factors requiring geospatial analysis for assessing the potential of smart farming of various crops/ plantations are following: 

Ø  Physical Factors (altitude, slope, aspect, soils)

Ø  Climatic Factors (temperature, precipitation)

Ø  Existing Pattern of Crops / Plantations

Ø  Infrastructural Factors (irrigation, availability of processing facilities, proximity to market etc.)

Ø  Social Factors (population, gender, age-structure, education levels, professional skills etc.)

Ø  Relative Advantage Scenarios (for assessing the feasibility and profitability of alternative farming.

The permutations and combinations of various spatial and temporal indicators of atmospheric pollution and climatic changes as well as their impacts on environment and society have been observed widely over the decades. Effective geospatial applications of satellite generated atmospheric and climatic data requires understanding of relevant remote sensing technologies and the types of datasets these provide. The wider applications involve interdisciplinary methodologies and sophisticate technologies for processing the datasets appropriately and analysing their spatial and temporal interrelationships. GIScience has developed the tools and techniques for processing and analysing various types of Geospatial information and re-presenting the present, re-constructing the past and projecting the future scenarios.