U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:

Slides:



Advertisements
Similar presentations
INTAGRAF International Alpine Gravity Field Course ( – , Merano, Italy) Topography and DEM Modelling mountains.
Advertisements

U.S. Department of the Interior U.S. Geological Survey Agency Report, WGISS #22 September 15, 2006 Lyndon R. Oleson U.S. Geological Survey Center for Earth.
The Effectiveness of Remote Sensing Techniques in Lineament Mapping for Groundwater Exploration in Volcanic Terrains Hard-rock aquifers are only productive.
LANDSAT Program Update Tim Newman Coordinator, USGS Land Remote Sensing Program National Geospatial Advisory Committee December 3, 2014.
SCHOOL OF ENVIRONMENT Translating satellite images into meaningful geospatial information: The data fusion approach Mr. Amit A. Kokje PhD candidate, School.
A GEOSCIENCE-BASED DIGITAL MAPPING APPROACH FOR MSL LANDING-SITE SELECTION K.L. Tanaka, J.A. Skinner, Jr., and T.M. Hare Astrogeology Team, U.S. Geological.
U.S. Department of the Interior U.S. Geological Survey SRTM Level-2, ASTER GDEM Quality comparison Wm Matthew Cushing 18 February 2011, Sao Paulo Brazil.
Application of Geospatial Technologies for Oil Palm Plantation Management Mohd zahlan mohd zaki Malaysia Geospatial Forum 2012 | Melaka | 6-7 March 2012.
Characteristics, uses, and sources Introduction to DEMs.
Spencer Anderson Brent Fogleman Daryl Vonhagel.  Objectives:  C-band (w = 3.8 – 7.5 cm) & X-band (w = 2.4 – 3.8 cm) IFSAR to acquire topographic data.
Geospatial Information Authority of Japan Activities of Geospatial Information Authority of Japan in response to the Great East Japan Earthquake. Hiroaki.
Topographic Maps. 1.This is what you call the vertical distance between the contour lines. 2.These connect points of equal elevation. 3.Gently sloping.
U.S. Department of the Interior U.S. Geological Survey National Geospatial Technical Operations Center Towards a More Consistent Framework for Disseminated.
Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,
ASU GEON NODE J Ramón Arrowsmith Department of Geological Sciences Arizona State University, Tempe, AZ
EQ: How are elevation, relief and slope shown on a topographic map?
From Topographic Maps to Digital Elevation Models Daniel Sheehan IS&T Academic Computing Anne Graham MIT Libraries.
Adams County Lidar Project
CEOS - NSLRSDA Footprint Server John Faundeen U.S. Geological Survey October Ottawa, Ontario, Canada.
SRTM 30-m Wm Matthew Cushing (USGS) 16 May 2013
Sources of Free Imagery Glenn Bethel Dec 2, 2008.
U.S. Department of the Interior U.S. Geological Survey Assessment of Conifer Health in Grand County, Colorado using Remotely Sensed Imagery Chris Cole.
2005 USDA Imagery Contracts May 4, 2005 NDOP Steering Committee Meeting Asheville, North Carolina W. Geoffrey Gabbott, Contracting Officer USDA, FSA, Aerial.
GTOPO30 Global 30-arc-second (1-km) elevation model - “Best available” global DEM - Initial release: March Widely used for climate modeling, land.
Implementing a Geographic Information Science Research Agenda to Address Challenging Issues Michael P. Finn and E. Lynn Usery U.
Ecosystems  Climate  Energy and Minerals  Natural Hazards  Environment and Human Health  Water U.S. Department of the Interior U.S. Geological.
USGS Afghanistan Reconstruction Project Geospatial Task Leaders Phil Davis (Flagstaff, AZ) – database generation and remote sensing Trent Hare (Flagstaff,
GEO ADC meeting, Sep 22-23, 2008 Slide # 1 AG AG Forest Mapping and Change Monitoring LoycheWilkie,Mette (FAO) Adam Gerrand (FAO) Ivan Petiteville,
Alaska Statewide Digital Mapping Initiative Goal: Map the entire State for digital elevation models and ortho-imagery Make products available to public.
U.S. Department of the Interior U.S. Geological Survey USGS Support During SOCAL Fires Elizabeth Lile U.S. Geological Survey Rocky Mountain Geographic.
Welcome - Introduction to SDMI & Goals for the Workshop.
CHAPTER 4 RASTER DATA MODEL 4.1 Elements of the Raster Data Model
Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Introduction to Remote Sensing Images By:
U.S. Department of the Interior U.S. Geological Survey Topographic Data Update IGOL: Rome September 13-15, 2004 Doug Muchoney USGS.
U.S. Department of the Interior U.S. Geological Survey A Proposal for the Geospatial Platform: Data Acquisition as a Service National Geospatial Advisory.
U.S. Department of the Interior U.S. Geological Survey Steve Wallach – Vice Chair, NGAC Mark DeMulder - Chief, National Geospatial Program Larry Sugarbaker.
USFS - Region 6 Imagery Program. Landsat TM 25+ scenes downloaded from MRLC Landsat Science collection.
U.S. Department of the Interior U.S. Geological Survey The National Map Digital Mapping Techniques Workshop Columbus, Ohio June 12, 2006 Charles Hickman.
U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) Concept and Preparation Jun Xiong, Prasad, Pardha Nov 21th, 2013, Flagstaff.
Department of Management Services MyFloridaMarketPlace oridamarketplace MyFloridaMarketPlace.
Radiometric Correction and Image Enhancement Modifying digital numbers.
Wisconsin Aerial Imagery Ted Koch, Wisconsin State Cartographer’s Office WLIA 2005 Annual Conference February 24 th, 2005 Wisconsin Aerial Imagery
USGS DIGITAL TERRAIN MODELS AND MOSAICS FOR LMMP M. R. Rosiek, E. M. Lee, E. T. Howington-Kraus, R. L. Fergason, L. A. Weller, D. M. Galuszka, B. L. Redding,
PROGRESS FY’05 AVIRIS instrument successfully integrated on WB-57 – 48 hours arrival to take-off! AVIRIS acquired data from WB-platform (collected test.
U.S. Department of the Interior U.S. Geological Survey The National Map Mark L. DeMulder Director, National Geospatial Program.
Afghanistan Ministry of Mines and Industry and U.S. Geological Survey Cooperative Oil and Gas Resource Assessment of Afghanistan Progress Report by USGS.
Generation of a Digital Elevation Model using high resolution satellite images By Mr. Yottanut Paluang FoS: RS&GIS.
Afghan Water Task Progress Report September 7, 2006 EROS Data Center, Sioux Falls, SD Gregg J. Wiche Doug G. Emerson U. S. Geological Survey Bismarck,
Rasters Steve Signell, Instructor Robert Poirier, TA School of Science Rensselaer Polytechnic Institute Monday, February.
Mapping Chapter 16. Uses of Topographic Maps To determine the topography or relief of a tract of land. To determine hydrologic features such as drainage.
A Coal Resource Assessment for Afghanistan U.S. Department of the Interior U.S. Geological Survey by John SanFilipo background: Giral Coal Mine, Rajasthan,
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
U.S. Geological Survey CEOS U.S.Gelogical Survey – Agency Report ) The Committee on Earth Observation Satellites Data and Access Subgroups May 2002.
Task B7. Monitoring and Forecasting for Water Management and Drought/Flood Hazards Goals National scale characterization of snow water resources (Afghanistan’s.
National Agriculture Imagery Program 2006 NAIP Contract Plans December 5, 2005 USDA NAIP Planning Meeting Salt Lake City, Utah W. Geoffrey Gabbott, Contracting.
Alaska DEM Workshop JULY 22, Agenda Sensors Terrain Models Accuracy Grid Spacing Deliverables Archive (DEMs, Stereo coverage) Product.
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
LANDSLIDE INVENTORIES THE KEY TO SEISMIC LANDSLIDE HAZARD ANALYSIS.
Integrated spatial data LIDAR Mapping for Coastal Monitoring Dr Alison Matthews Geomatics Manager Environment Agency Geomatics Group.
Satellite Image Pixel Size vs Mapping Scale
Surface Analysis Tools. Lesson 7 overview  Topographic data  Sources  Uses  Topographic analysis  Hillshade  Visibility  Contours  Slope, aspect,
Rasters Peter Fox – based on materials from Steve Signell
Satellite Image Pixel Size vs Mapping Scale
Advanced Spaceborne Thermal Emission and Reflection Radiometer
New Mexico’s RGIS Program: State Geospatial Data Clearinghouse
Digital Elevation Models (DEM) Digital Terrain Models (DTM) / Digital Surface Models (DSM) Brief Review Applications in image processing: Inclusion in.
Satellite Sensors – Historical Perspectives
Warm-up slide Jan : end of The World: Dubai island development sinks back into sea - financial crisis.
IKONOS ~Derived from the Greek term eikōn, meaning image~
Information Session: October 12, 2011 – 2:30 – 4:00 in Rm
Presentation transcript:

U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development: Task 7 - Digital Elevation Modeling by Pete Chirico

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: OBJECTIVE Develop publicly releasable digital elevation models (DEMs) at multiple resolutions from multiple sources to support USGS, USAID, and Afghan Ministries Reconstruction Projects 3D Perspective view of Panjshir valley developed from SRTM DEM and ASTER imagery

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 90m SRTM 30m SRTM 5m DEM DIGITAL ELEVATION MODELING TASK: APPLICATION EXAMPLES Applications for which absolute* (not relative) DEMs are important: Medium horizontal resolution: 90m -30m  Geologic Mapping and Interpretation  Satellite Imagery Terrain Correction High horizontal resolution: 30m – 5m  Hydrological Applications  Geohazard Modeling Very-high horizontal resolution: 5m - 1m  Infrastructure Site Selection and Engineering  Urban Applications * absolute DEMs are tied to a vertical datum on the ground

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: FUNDING and STAFFING Budget First 6 Months: Gross Budget:$300,000 Net Budget after Assessment: $196,000 Proposed Second 6 Months: Gross Budget:$350,000 Net Budget after Assessment: $228,650 Staffing: ½ FTE Pete Chirico (GD EESP Team – Reston) ½ FTE Contractor (GD EESP Team – Reston) ½ FTE Kim Angeli (NMD Advanced Systems Center – Reston)

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: FY05 GOALS  SRTM DEM Covering all of Afghanistan (no gaps) 85m horizontal resolution  ASTER DEMs Regional Areas of Interest -approximately 38 ASTER Scenes 30m horizontal resolution  High Resolution DEMs from Stereo –Ikonos Imagery Regional Areas of Interest – approximately 5 Areas 3-5m horizontal resolution  Very-High Resolution DEM from NTM data Kabul Possibly one other area  Geo-rectified Russian Topographic Maps 1:200,000 Scale 1:50,000 Scale Topographic effects on communication tower frequency range

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: FY05 PROGRESS  SRTM DEM -Preliminary Official Use Only “gap-filled” ( with level 1 DTED data) DEM completed and delivered to EDC and Flagstaff -Continuing to produce publicly releasable elevation data to fill gaps  ASTER DEMs -Regional Areas of Interest Identified -approximately 38 Level 1-A ASTER Scenes requested from EDC  High Resolution DEMs from Stereo –Ikonos Imagery - No areas identified - yet  Very-High Resolution DEM from NTM data -DIR written and Data requested for Kabul and Pol-i-Khomri study areas  Geo-rectified Russian Topographic Maps 1:200,000 Scale -Scanned, Cropped, and Geo-rectified to Landsat Mosiac – supplied to EDC 1:50,000 Scale – Procured cropped and geo-rectified maps from Government source and supplied to EDC (1-CD of data missing –am working on correcting that)

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: SRTM DEM  Preliminary “Gap-Filled” SRTM DEM  85m horizontal resolution

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: Gap Filling SRTM  White voids are gaps in SRTM Data.  Red areas show Russian 1:200,000 Maps for which contours have been digitized to fill SRTM data gaps.

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: Prelim ASTER DEM Areas  Brown circles represent approximate ASTER Scene coverage.  Red and orange boxes show identified priority areas

Afghan Reconstruction Project Meeting: Flagstaff 10/20/04 DIGITAL ELEVATION MODELING TASK: FY05 PRODUCTS  3 Month Deliverables -Digital Collection of Geo-rectified Russian 1:200,000 scale map sheets -Digital Collection of Geo-rectified Russian 1:50,000 scale map sheets  6 Month Deliverables - Publicly releasable SRTM DEM segmented into 1:250,000 scale sheet series - ASTER DEMs of selected regions (Kabul, Mazar, Jalalabad, Pol-i-Khomri, and Panjshir)  12 Month Deliverables - ASTER DEMs of selected regions (Kandahar, Herat, others?) -1 or 2 High Resolution DEMs from Stereo –Ikonos Imagery - Very-High Resolution DEM of Kabul