Land Cover Classification System. P RESENTATION F LOW Introduction Steps of Pre-processing Image...
-
Upload
julianna-clarke -
Category
Documents
-
view
212 -
download
0
Transcript of Land Cover Classification System. P RESENTATION F LOW Introduction Steps of Pre-processing Image...
Land Cover Classification System
PRESENTATION FLOWPRESENTATION FLOW• Introduction• Steps of Pre-processing• Image Classification in MadCat• Quality Assurance of Data• Edge Matching• Topology Check• Final Quality Check• Layout Development• Results Validation through Field Survey
INTRODUCTIONINTRODUCTION
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 AOIFINAL MOSAICS SCHEMA OF AOI
STEPS OF PRE-STEPS OF PRE-PROCESSINGPROCESSING
KEY POINTSKEY POINTS• DATA USED
– SPOT 5 meter pan- sharpened data
• 2.5meter rescaled at 5 meter
• Development of Working areas– Working areas of whole
province developed with minimum overlap
KEY POINTSKEY POINTS
• Creation of Subsets within working areas
Segmentation created separately on each subset
SEGMENTATIONSEGMENTATION• 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
Hyderabad
Indus River
.
Sindh
QUALITY ASSURANCE OF DATAQUALITY ASSURANCE OF DATA
• Quality Checking – Marking of Errors
• Error Removing
• Re – QC
GENERAL ERROR MARKINGGENERAL ERROR MARKING
ERRORERROR REMOVINGREMOVING
EDGE MATCHINGEDGE MATCHING
TOPOLOGY CHECKTOPOLOGY CHECK
• Removal of Gaps
• Removal of Overlaps
TOPOLOGY CHECKTOPOLOGY 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 MadCat
– 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 Topology over
REMOVAL OF GAPSREMOVAL OF GAPS
REMOVAL OF OVERLAPING REMOVAL OF OVERLAPING ERRORSERRORS
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.
Land Cover Mapping
RESULTS VALIDATION THROUGH FIELD RESULTS VALIDATION THROUGH FIELD SURVEYSURVEY
ROUTE OF SURVEYROUTE OF SURVEY
SURVEY TEAMSURVEY TEAM
RESULTS VALIDATION THROUGH FIELD RESULTS VALIDATION THROUGH FIELD SURVEYSURVEY
WLBA
TCIr
RESULTS VALIDATION THROUGH FIELD RESULTS VALIDATION THROUGH FIELD SURVEYSURVEY
TCIr / SaD
SaD / WB
RESULTS VALIDATION THROUGH FIELD RESULTS VALIDATION THROUGH FIELD SURVEYSURVEY
SCIr
WB
RESULTS VALIDATION THROUGH FIELD RESULTS VALIDATION THROUGH FIELD SURVEYSURVEY
HCIrS
SaD
SCIr – Shrubs Crop Irrigated TCIr – Trees Crop Irrigated
HCIr – Herbaceous Crop Irrigated HCRf - Herbaceous Crop Rainfed
WLBA - Water Logged Bare Area WB – Water Bodies
SaFP – Desert Flat Plain BL – Barren Land
Thank you