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Maharashtra working plan incorporates GIS

J.S. Grewal
Conservator of Forest, Working Plan Circle,
Maharashtra Forest Department, Nagpur
cfwpc@nagpur.dot.net.in



Integration of MIS and GIS is a powerful planning and decision support tool for the Working Plan Officer.

In Maharashtra, GIS is being used in the preparation of working plans. Working with GIS during the last two years has helped us to visualize its wide application not only for working plan preparation but also in the field of implementing and monitoring of forestry activities.

Forest Management Functions
Basically a forest manager has to perform the following core functions:
  • Planning
  • Implementation
  • Control
  • Organisation
To be able to perform these functions a forest manager has to seek answers to many questions of the following type:
  • What treatment/action is required in which part of his forest?
  • What are the viable alternatives available?
  • Which is the best alternative?
  • What will be the sequence of actions?
  • Who will be responsible for carrying out each of the actions?
  • Who will be monitoring the performance of plan?
To find clear answers to questions of the above kind a lot of data is required. Moreover this data has to be in such a format that it can be viewed and synthesised easily and quickly. Some of the typical data needs of a forest planner are listed below. This list is by no means exhaustive,A it is indicative only.

Data needs for forest planner
  • Forest cover
  • Composition
  • Structure
  • Crown density
  • Regeneration status
  • Site quality
  • Negative influences
  • Sensitive spots
  • Boundaries
  • Topo features
  • Soils
  • Climatic data
  • Moisture regime
  • Biotic influences
  • Markets
Need for digital databases
The problem with the non-digital databases arises because of the sheer volume of data. It is very difficult to synthesise and comprehend such large volumes through manual systems. The other major problem with manual systems is that of retrieval. Information is generally collected from various sources and at various times, which not only overloads the system but makes it very unreliable and inconsistent too.

Managers for land-based systems have to invariably deal with multitude of maps.

These maps are available on different scales and at times even in different projection systems, which makes it very difficult to manipulate geographical information. Because of these and many more problems it is much more convenient to capture data digitally and centrally.

Integration of remote sensing data with GIS related decision support systems could make the job of land managers very easy.

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