Remote Sensing Demand Pacific Island Countries Wolf Forstreuter Pacific Islands GIS&RS User Conference 2011

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  • Slide 1
  • Remote Sensing Demand Pacific Island Countries Wolf Forstreuter Pacific Islands GIS&RS User Conference 2011
  • Slide 2
  • History 1991 forest inventory Fiji 1991 forest inventory Fiji 1998 GIS backdrops for utilities 1998 GIS backdrops for utilities 2000 coastal change detection in Tonga 2000 coastal change detection in Tonga 2006 coconut resource mapping 2006 coconut resource mapping Today multiple utilisation of space born image data Today multiple utilisation of space born image data
  • Slide 3
  • Image Utilisation 1)GIS backdrop as map replacement mainly Pacific utilities 2)Forest mapping (REDD+) 3)Disaster risk management 4)Land cover mapping of low lying islands (coconut resource) 5)Maritime boundary determination 6)Agricultural mapping (food security)
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  • Image Utilisation 7)History of island movements 8)Shallow water bathymetry / habitat mapping of near shore area 9)House mapping population census 10)Fast mapping of flooded areas 11)Shipping vessel detection 12)DTM for watershed management, airport security, island movement, flooding risk maps, orthocorrection of image data 13)Wind and current for search and rescue
  • Slide 5
  • Disaster Risk Management 400,000 roofs are mapped 400,000 roofs are mapped For US$ 36,000 image data was purchased last year For US$ 36,000 image data was purchased last year Requirements: (A) VHR Data, detail of features recognisable Requirements: (A) VHR Data, detail of features recognisable
  • Slide 6
  • Land Cover Mapping of Low Lying Islands Most islands of Kiribati are mapped at 1:5,000 scale level Most islands of Kiribati are mapped at 1:5,000 scale level Coconut palms are counted for of the islands Coconut palms are counted for of the islands Change detection at 1:5,000 performed for 4 islands Change detection at 1:5,000 performed for 4 islands Requirements: VHR Data, texture information for coconut palm counting, bundle data preferrable Requirements: VHR Data, texture information for coconut palm counting, bundle data preferrable
  • Slide 7
  • Maritime Boundaries For US$ 88,000 image data was purchased last year For US$ 88,000 image data was purchased last year Requirements: (A) VHR Data, detail of features recognisable, (B) high geo-accuracy Requirements: (A) VHR Data, detail of features recognisable, (B) high geo-accuracy
  • Slide 8
  • Agricultural Mapping for Food Security Currently mapping at 1:50,000 scale (first time) Currently mapping at 1:50,000 scale (first time) US funded project will support mapping in FJ, KI, VU, WS, SB US funded project will support mapping in FJ, KI, VU, WS, SB Requirements: a) multi-spectral information including near infrared b) VHR image data (coconut) Requirements: a) multi-spectral information including near infrared b) VHR image data (coconut)
  • Slide 9
  • Documentation of Island Movements 19681968 20002000 No new image data purchased but utilisation of available data is ongoing No new image data purchased but utilisation of available data is ongoing Requirements: VHR Data, details for reference image points Requirements: VHR Data, details for reference image points
  • Slide 10
  • Shallow Water Bathymetry and Habitat Mapping of near Shore Area Requirements: 1:25,000 level resolution, multi-spectral information including blue and green bands Requirements: 1:25,000 level resolution, multi-spectral information including blue and green bands
  • Slide 11
  • Roof Mapping Population Census For US$ 27,000 image data was purchased last year For US$ 27,000 image data was purchased last year Requirements: VHR Data, house counting at 1:5,000 scale level Requirements: VHR Data, house counting at 1:5,000 scale level
  • Slide 12
  • Fast Mapping of Flooding Applied only two times Applied only two times Method developed and available Method developed and available Requirements: (A) penetration of cloud cover, (B) VHR image data, (C) fast data recording and delivery (D) clear separation of water and rest (E) reference images for geometric correction Requirements: (A) penetration of cloud cover, (B) VHR image data, (C) fast data recording and delivery (D) clear separation of water and rest (E) reference images for geometric correction Applied only two times Applied only two times Method developed and available Method developed and available Requirements: (A) penetration of cloud cover, (B) VHR image data, (C) fast data recording and delivery (D) clear separation of water and rest (E) reference images for geometric correction Requirements: (A) penetration of cloud cover, (B) VHR image data, (C) fast data recording and delivery (D) clear separation of water and rest (E) reference images for geometric correction
  • Slide 13
  • Fishing Vessels Monitoring
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  • Shipping Vessel Detection Cross check of vessel monitoring system Cross check of vessel monitoring system Transport monitoring Transport monitoring Requirements: (A) VHR Data, (B) recording day, night and all weather situations, (C) fast data delivery, (D) capture of vessel shape, speed and material Requirements: (A) VHR Data, (B) recording day, night and all weather situations, (C) fast data delivery, (D) capture of vessel shape, speed and material Cross check of vessel monitoring system Cross check of vessel monitoring system Transport monitoring Transport monitoring Requirements: (A) VHR Data, (B) recording day, night and all weather situations, (C) fast data delivery, (D) capture of vessel shape, speed and material Requirements: (A) VHR Data, (B) recording day, night and all weather situations, (C) fast data delivery, (D) capture of vessel shape, speed and material
  • Slide 15
  • High Resolution DSM Low lying areas, flood risk maps Low lying areas, flood risk maps Water catchment monitoring Water catchment monitoring Island movement Island movement Airport security Airport security Orthocorrection of image data Orthocorrection of image data Requirements: High resolution stereo images, space borne radar data, LiDAR data or Requirements: High resolution stereo images, space borne radar data, LiDAR data or
  • Slide 16
  • Thanks