Geoinformatics based LULUCF inputs for CDM Project of ITC - PSPD, Bhadrachalam

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

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

3. Geomatics can facilitate relevant products 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. Geomatics can cater to steps of PDD RS GIS GPS * RS med res & h-res * SCALE DEPENDENT

5. Temporal Issues in PDD formation Prediction/Addnlty Project Period Reforestation Compliance 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, ? LISS III/IV 1955 2005 Reforestation – Requires assessment data using data since 31st Dec 1989 Assessment of non forest lands possible using available IRS data during 1990 forest LISS I/II/ TM 1990 2005 LISS III/IV agril Nonforest Issue of afforestation and reforestation

7. Study Site

8. Phases of study 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. Specialities of social forestry sink Social forestry or similar initiative generally has to occupy smaller Land parcels due to socio-economic factors connected to it Promoted plantations may not have copy-book implementation Of package of practices 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

10. Methodology for land cover change in Social Forestry Mandals

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

14. Sink boundaries

15. Thank you