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ITOS Services for Humanitarian Mapping 3/19/2018 ITOS Services for Humanitarian Mapping 3/19/2018

Information Technology Outreach Services (ITOS) • Service Department • Training and Technical solutions • Information Technology Outreach Services (ITOS) • Service Department • Training and Technical solutions • Geographic Information – data – services – application development Introduction 3/19/2018

ITOS and the GIST Repository GEOGRAPHIC INFORMATION SUPPORT TEAM Data and Services Portal https: ITOS and the GIST Repository GEOGRAPHIC INFORMATION SUPPORT TEAM Data and Services Portal https: //gist. itos. uga. edu GIST Portal 3/19/2018

ITOS and the GIST Repository • • Data Processing and Metadata Services Metadata Search ITOS and the GIST Repository • • Data Processing and Metadata Services Metadata Search Engine Downloadable WAF Live Mapping Services (thin and thick clients) – Global Map Series • FTP • Membership Directory • Document Library GIST Portal 3/19/2018

Data Creation and Crowdsourcing i. MMAP/WFP/GISCorps 3/19/2018 Data Creation and Crowdsourcing i. MMAP/WFP/GISCorps 3/19/2018

Data Modelling ETL Models 3/19/2018 Data Modelling ETL Models 3/19/2018

Custom Application Development UNHCR/GE 3/19/2018 Custom Application Development UNHCR/GE 3/19/2018

Repository Holdings: Static Maps Static Map Holdings 3/19/2018 Repository Holdings: Static Maps Static Map Holdings 3/19/2018

Repository Holdings: Vector Sets Static Map Holdings 3/19/2018 Repository Holdings: Vector Sets Static Map Holdings 3/19/2018

Two problems • Find point location information from descriptive strings • Find polygons for Two problems • Find point location information from descriptive strings • Find polygons for disaster areas: admin boundaries or footprints Objective 3/19/2018

Find location information from descriptive strings Existing Structure 3/19/2018 Find location information from descriptive strings Existing Structure 3/19/2018

First, parse out locations but maintain the unique disaster identifier Structure 3/19/2018 First, parse out locations but maintain the unique disaster identifier Structure 3/19/2018

Locations with unique disaster ID Structure 3/19/2018 Locations with unique disaster ID Structure 3/19/2018

Gazeteer Services • Input string into Gazetter (Directories) service and return the Lat/Long (as Gazeteer Services • Input string into Gazetter (Directories) service and return the Lat/Long (as a starting point). • Possible services • Google Earth (easiest parsing mechanism) • Bing Maps (used to be Microsoft Virtual Earth, runs on old ESRI World Gaz. Service) • Taggeo. com • Geonames. org • Maplandia • http: //alexandria. ucsb. edu/gazetteer/ • http: //www. columbiagazetteer. org Methods 3/19/2018

Batch Services • There is a batch service for address geocoding in Google Earth Batch Services • There is a batch service for address geocoding in Google Earth for some countries • I have not seen a batch service for a gazeteer lookup or fly to search – may need to write a custom application (or do manually) Methods 3/19/2018

Bing GZ Service Methods 3/19/2018 Bing GZ Service Methods 3/19/2018

Bing GZ Service Methods 3/19/2018 Bing GZ Service Methods 3/19/2018

Result, post-geocoding • After geocoding you will have a cluster of points per event, Result, post-geocoding • After geocoding you will have a cluster of points per event, you can – export to use in an image archive search engine (footprinting) – create a minimum bounding polygon or – select within themes to highlight admin boundaries. Methods 3/19/2018

Structure Summary (Nested Polygons) Global Map (ITOS) GAUL Global Map (GM) has a separate Structure Summary (Nested Polygons) Global Map (ITOS) GAUL Global Map (GM) has a separate feature class for each Admin Level as well as a composite layer (Level_All) which has all the Admin Levels (0 -5) represented GAUL has three global datasets, one each for Admin Levels 0, 1, and 2 Each GM Admin Level feature class only contains the countries which have divisions to its respective level (for example, Admin Level 4 feature class only contains the 5 countries which have level 4 attributes represented). GAUL has 16 individual country datasets for levels higher than 2 GM’s 0 -5 layers have multi-part polygons so that each division is represented by only one polygon (for example, Florida is represented by a single multi-part polygon which includes the several islands which all belong to Florida). None of GAUL’s datasets have multi-part polygons - each division represented by several individual polygons (Florida is represented by 166 polygons with identical attribution) The GM Level_All feature class does not have multi-part polygons Structure 3/19/2018

Structure Summary (Attribution) Global Map (ITOS) GAUL No Scale Information Contains Admin Codes when Structure Summary (Attribution) Global Map (ITOS) GAUL No Scale Information Contains Admin Codes when available Contains Source information when available Source information may be housed elsewhere Most attribution contained in a point file that can be used with any feature class All attribution contained in polygon feature classes Country boundaries comply with UNCS International Boundaries Map Coastline updated from Imagery Keeps track of administrative units that have changed for political reasons Structure 3/19/2018

Level 0 (Country Level) Global Map (ITOS) - 255 individual countries GAUL - 275 Level 0 (Country Level) Global Map (ITOS) - 255 individual countries GAUL - 275 individual countries Midway Island/Midway Islands Aksai Chin Arunashai Pradesh Ashmore & Cartier Islands Azores Islands Bassas de India Parcel Islands (2 entries in GIST one in GAUL) Bird Island China/Indi a Dhekelia & Akrotiri SBA Europa Island Glorioso Island South Sandwich Islands and South Georgia Islands (2 entries Hala’ib triangle Hong Kong Ilemi triangle Isle of Man Jammu Kashmir Taiwan Jersey Kingman Reef Kuril Islands Liancourt Rock Ma’tan al -Sarra Madeira Islands Scarborough Senkaku Reef Islands (2 entries in GIST one in GAUL) Guernsey Trust Territory of the Pacific Islands (separate from Palau and Indonesia) Macau Existing Svalbard & Jan Mayen Islands 3/19/2018

Level 0 – 20 Gaul Countries Not in GIST Database Missing 3/19/2018 Level 0 – 20 Gaul Countries Not in GIST Database Missing 3/19/2018

Level 1 Global Map (ITOS) GAUL - 275 individual countries GM is missing level Level 1 Global Map (ITOS) GAUL - 275 individual countries GM is missing level 1 for: Level 1 present for all GAUL Level 0 countries Montenegro Trust Territory of the Pacific Islands Missing 3/19/2018

Level 2 Global Map (ITOS) and GAUL are both missing level 2 data for Level 2 Global Map (ITOS) and GAUL are both missing level 2 data for the following 37 countries: Andorra Bahrain Belize Botswana Croatia Cyprus Egypt Equatorial Guinea Falkland Islands (Malvinas) Greenland Hungary Israel Jamaica Kuwait Latvia Libyan Arab Jamahiriya Liechtenstein Maldives Malta Netherlands New Zealand Qatar Iceland Russian Federation Saint Kitts and Nevis Saint Lucia Saudi Arabia Singapore Switzerland Trinidad and Tobago Turkmenistan Ukraine United Arab Emirates Western Sahara Republic of Korea Ireland Romania This list of 37 countries come from the GAUL website; we assume that Level 2 boundaries exist for these countries. GAUL has level 2 data for all other countries which have level 2 divisions. Missing 3/19/2018

Level 2 – 106 Missing from GM, 37 Missing from GAUL* Albania Botswana * Level 2 – 106 Missing from GM, 37 Missing from GAUL* Albania Botswana * Hungary * Lesotho Norway Iceland * Iran Irish Republic * Libya * Liechtenstein * Oman Panama Lithuania PNG Cambodia Egypt * Equatorial Guinea * Estonia Falkland Islands * Fiji Algeria Andorra * Brazil Brunei Angola Bulgaria Argentina Israel * Luxembourg Paraguay Armenia Chile Finland Italy Macedonia Australia China Jamaica * Austria Costa Rica France French Guiana Bahrain * Belarus Croatia * Cyprus * Czech Republic Denmark Dominican Republic Belgium Belize * Bhutan Bosnia and Herzegovina Ecuador Singapore * Turkmenistan * Slovakia Slovenia South Korea * Ukraine * UAE* Uzbekistan Peru Spain St. Kitts & Nevis * Malaysia Poland Swaziland Japan Maldives * Portugal Georgia Germany Jordan Kazakhstan Malta * Moldova Puerto Rico Qatar * Sweden Yemen Switzerlan d* Syria Greece Kuwait * Mongolia Romania * Greenland * Kyrgyzstan Myanmar Guatemala Laos Netherlands * Russia * Saint Lucia * New Zealand * Saudi Arabia * Guyana Latvia * Missing United Kingdom Vietnam Western Sahara * Tajikistan Trinidad & Tobago * Tunisia Turkey 3/19/2018

Level 2 – 37 Missing from both GM and GAUL Missing 3/19/2018 Level 2 – 37 Missing from both GM and GAUL Missing 3/19/2018

Level 3 Global Map (ITOS) - 22 Level 3 datasets GAUL - 12 level Level 3 Global Map (ITOS) - 22 Level 3 datasets GAUL - 12 level 3 datasets Bangladesh Madagascar Bangladesh Timor-Leste Burundi Mozambique Burkina Faso Zimbabwe Congo, DRC Nepal Cote d'Ivoire Niger China Ethiopia Pakistan Haiti Senegal Ethiopia India Sierra Leone Indonesia (Nanggroe Aceh Darussalam only) South Africa Myanmar Kenya Sri Lanka Pakistan Lebanon Sudan Philippines Liberia Uganda Tanzania Nepal GM has 16 level 3 datasets that GAUL does not have GAUL has 7 level 3 datasets that GM does not have Existing 3/19/2018

Level 3 –GM and GAUL 16 level 3 datasets in GM missing from GAUL Level 3 –GM and GAUL 16 level 3 datasets in GM missing from GAUL 7 level 3 datasets in GAUL missing from GM Existing 3/19/2018

Levels 4 and 5 Global Map (ITOS) - 5 Level 4 datasets GAUL - Levels 4 and 5 Global Map (ITOS) - 5 Level 4 datasets GAUL - 3 level 4 datasets Burundi Haiti Indonesia (in part) Kenya Uganda GM has 2 level 4 datasets that GAUL does not have Both GM and GAUL have Kenya as the only country represented with level 5 divisions Existing 3/19/2018

Level 4 – 2 level 4 datasets in GM missing from GAUL Existing 3/19/2018 Level 4 – 2 level 4 datasets in GM missing from GAUL Existing 3/19/2018

Settlements and Urban Areas Existing 3/19/2018 Settlements and Urban Areas Existing 3/19/2018