1. Geoinformatics based LULUCF inputs for CDM Project of ITC - PSPD, Bhadrachalam CDM Barrier removal – Meet III Forestry and Ecology Division National Remote Sensing Agency Dept. of Space Pujar GS, Sudhakar, S & Murthy MSR

2. Land use/cover change matrix required to be addressed as per Good Practice Guidelines (IPCC) Severe degree negative change Best possible positive change Moderate negative change Moderate degree positive change

3. Snapshot of landscape at the start of the project Spatial explicitness of boundaries Amenability for spatial modeling to prove additionality Potential to collate multisource information for barrier reduction

4. RSGISGPS * * SCALE DEPENDENT RSmed res & h-res

5. 19902000200120022003200420052010 Reforestation Compliance Project Period Prediction/Addnlty Plantation growth Geomatics Compatibility

6. Afforestation – Requires assessment data using 50 year old data Satellite data not available for the period Compilation of such data if exists in to spatial form needs separate effort, 19552005 ?LISS III/IV Reforestation – Requires assessment data using data since 31 st Dec 1989 Assessment of non forest lands possible using available IRS data during 1990 19902005 LISS I/II/ TM LISS III/IV forest agril Nonforest

8. Appraisal of technology potential to PDD facilitator Selection of satellite datasets suiting the requirement Image analysis for land cover delineation and plantation mapping Plantation mapping aided by ground based ownership Information Generation of sink boundaries and erstwhile land cover content Prediction of plantation position and spread Sink boundary and position for validation Information fine tuning for final submission

9. Social forestry or similar initiative generally has to occupy smaller Land parcels due to socio-economic factors connected to it Marginal lands means relatively higher probability of constrained success. Generally lands prevail adjacent to slopy/forest area & hence may not be best habitat available. These factors result in mixed response of reflectances at sensor Level and hence will induce difficulty in mapping Promoted plantations may not have copy-book implementation Of package of practices

10. Methodology for land cover change in Social Forestry Mandals

12. Vegetation and Land cover 1990 Vegetation and Land cover 2005 Land cover Changes Plantation increase Rate of increase In 5 km pixels Categorization of Rates Stratified random Allocation of sites Suitability Surface Scrub and adjacency Amenable slopes in Amenable elevations Forest area exclusion Size based buffers Site delineation Probability of sites Elimination of small patches Plantation Site predictions Predicting of plantation Occurrence Approach

15. Thank you