Land Cover Classification System PRESENTATION FLOW Introduction Steps

  • Slides: 27
Download presentation
Land Cover Classification System

Land Cover Classification System

 • • • PRESENTATION FLOW Introduction Steps of Pre-processing Image Classification in Mad.

• • • PRESENTATION FLOW Introduction Steps of Pre-processing Image Classification in Mad. Cat Quality Assurance of Data Edge Matching Topology Check Final Quality Check Layout Development Results Validation through Field Survey

INTRODUCTION Land Cover Mapping is an going project in collaboration with FAO UN using

INTRODUCTION Land Cover Mapping is an going project in collaboration with FAO UN using the technique of Land Cover Classification System (LCCS) – an important component of FAO / GLCN approach to create a harmonized and extensive representation of land cover features

FINAL MOSAICS SCHEMA OF AOI

FINAL MOSAICS SCHEMA OF AOI

STEPS OF PREPROCESSING

STEPS OF PREPROCESSING

KEY POINTS • DATA USED – SPOT 5 meter pan- sharpened data • 2.

KEY POINTS • DATA USED – SPOT 5 meter pan- sharpened data • 2. 5 meter rescaled at 5 meter • Development of Working areas – Working areas of whole province developed with minimum overlap

KEY POINTS • Creation of Subsets within working areas Segmentation created separately on each

KEY POINTS • Creation of Subsets within working areas Segmentation created separately on each subset

SEGMENTATION • Re-projected into world Mercator (WGS-1984) before segmentation • Segmentation scale used 50

SEGMENTATION • Re-projected into world Mercator (WGS-1984) before segmentation • Segmentation scale used 50 (± 15 depending upon the features on image), shape = 0. 1, compactness= 0. 9) polygons from outside the boundary were deleted

Land Cover Classification Map – Hyderabad & Surroundings Indus River Hyderabad Sindh

Land Cover Classification Map – Hyderabad & Surroundings Indus River Hyderabad Sindh

QUALITY ASSURANCE OF DATA • Quality Checking – Marking of Errors • Error Removing

QUALITY ASSURANCE OF DATA • Quality Checking – Marking of Errors • Error Removing • Re – QC

GENERAL ERROR MARKING

GENERAL ERROR MARKING

ERROR REMOVING

ERROR REMOVING

EDGE MATCHING

EDGE MATCHING

TOPOLOGY CHECK • Removal of Gaps • Removal of Overlaps

TOPOLOGY CHECK • Removal of Gaps • Removal of Overlaps

TOPOLOGY CHECK 1. Data was first checked for gap errors 2. Correction of gap

TOPOLOGY CHECK 1. Data was first checked for gap errors 2. Correction of gap errors 3. Then, overlap topology was checked 4. Overlap errors were corrected in Mad. Cat – Gap corrected layer was imported in segment layer – Polygon containing errors were exported to training areas – Then again move back to segment layer by using

REMOVAL OF GAPS

REMOVAL OF GAPS

REMOVAL OF OVERLAPING ERRORS

REMOVAL OF OVERLAPING ERRORS

Land Cover Mapping The possible areas of application would be Agriculture, Forestry, Environment, Irrigation,

Land Cover Mapping The possible areas of application would be Agriculture, Forestry, Environment, Irrigation, Disasters & Hazards Monitoring, Planning & Development, Oil & Gas Exploration, Mining, Wild Life and other emergent requirements.

RESULTS VALIDATION THROUGH FIELD SURVEY ROUTE OF SURVEY TEAM

RESULTS VALIDATION THROUGH FIELD SURVEY ROUTE OF SURVEY TEAM

RESULTS VALIDATION THROUGH FIELD SURVEY WLBA TCIr

RESULTS VALIDATION THROUGH FIELD SURVEY WLBA TCIr

RESULTS VALIDATION THROUGH FIELD SURVEY TCIr / Sa. D / WB

RESULTS VALIDATION THROUGH FIELD SURVEY TCIr / Sa. D / WB

RESULTS VALIDATION THROUGH FIELD SURVEY SCIr WB

RESULTS VALIDATION THROUGH FIELD SURVEY SCIr WB

RESULTS VALIDATION THROUGH FIELD SURVEY HCIr. S Sa. D

RESULTS VALIDATION THROUGH FIELD SURVEY HCIr. S Sa. D

SCIr – Shrubs Crop Irrigated HCIr – Herbaceous Crop Irrigated TCIr – Trees Crop

SCIr – Shrubs Crop Irrigated HCIr – Herbaceous Crop Irrigated TCIr – Trees Crop Irrigated HCRf - Herbaceous Crop Rainfed

WLBA - Water Logged Bare Area WB – Water Bodies Sa. FP – Desert

WLBA - Water Logged Bare Area WB – Water Bodies Sa. FP – Desert Flat Plain BL – Barren Land

Thank you

Thank you