Lect_3_Urban

Lect_3_Urban - Remote Sensing of Urban Landscapes Remote...

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Unformatted text preview: Remote Sensing of Urban Landscapes Remote Sensing of Urban Landscapes Remote Quick Write: Quick Define the predominant photographic element differences in these images. Mecca, Saudi Arabia New York City Location Mecca Height/Depth Size Shape Various angular shapes Uniform rectangle Pattern Mixed Very large Very tall/ various depths Few tall, Small, general low individual structures/ structures uniform depths NYC Uniform Today: Group Today: Group the different the different features into features into classes classes 111 Single Family Single Family Residential Residential With Multiple With Multiple Family Residential Family Residential inclusions inclusions New York City Urban Remote Sensing Users Urban Remote Sensing Users •• Zoning regulation Zoning regulation •• Commerce and economic development Commerce and economic development •• Tax assessor Tax assessor •• Transportation and utilities Transportation and utilities •• Parks, recreation, and tourism Parks, recreation, and tourism •• Emergency management Emergency management Urban/Suburban Temporal Urban/Suburban Temporal Resolution Considerations Resolution Considerations •• Partial or complete clearing Partial or complete clearing •• Land subdivision Land subdivision •• Roads Roads •• Buildings Buildings •• Landscaping Landscaping 1975 1975 1995 1995 Urban Remote Sensing Urban Remote Sensing ••Minimum spatial resolution of 0.25 – 5 m Minimum spatial resolution of 0.25 – 5 m •Nominal Spatial Resolution vs. Ground Sample Distance •Nominal Spatial Resolution vs. Ground Sample Distance “Ground Resolving Distance” vs. GSD “Ground Resolving Distance” vs. GSD ••Minimum of four pixels within an object to identify Minimum of four pixels within an object to identify ((one-halfthe width of the smallest dimension -one-half the width of the smallest dimension i.e. 5 m mobile homes requires at least 2.5 m data)) i.e. 5 m mobile homes requires at least 2.5 m data Keep in mind these distinctions Keep in mind these distinctions a))Role of shape, size, texture, height/depth/volume, a Role of shape, size, texture, height/depth/volume, pattern, shadow, site/situation/association pattern, shadow, site/situation/association b) Land use vs. land cover? b) Land use vs. land cover? USGS Land-Use/Land-Cover USGS Land-Use/Land-Cover Classification (Anderson et al. 1976) Classification (Anderson et al. 1976) 1 Urban or Built-up Level II 1 Urban or Built-up Level 11 Residential Level II 11 Residential Level II 111 Single-Family Residential Level III 111 Single-Family Residential Level III 1111 House, houseboat, hut Level IV 1111 House, houseboat, hut Level IV 1112 Mobile home 1112 Mobile home 112 Multiple-Family Residential 112 Multiple-Family Residential 2 Agricultural land 2 Agricultural land 21 Cropland and pasture 21 Cropland and pasture 22 Orchard, groves, vineyards, ornamental horticulture 22 Orchard, groves, vineyards, ornamental horticulture See class web page for references/anderson.pdf See class web page for references/anderson.pdf Differentiate Level I Urban-Builtup from Agricultural Urban- Landcover/ use Height/Depth Texture Shape Pattern 2 1 Urban or built-up Very tall/ Rough, various depths various smooth, Various angular shapes Large uniform rectangle repeated, mixed, small grid Uniform, large grid 1 2 Agricultural general lower, Very land uniform smooth, depths smooth Differentiate within Level II Urban-Builtup Urban- Landcover/ Height/ use Depth 11 Residual Texture Shape Pattern … City of Davis 12 Commercial and Services Urban Minimum Resolution Requirements Urban Minimum Resolution Requirements Land Use/Cover Land Use/Cover USGS Level 1 USGS Level 1 USGS Level 2 USGS Level 2 USGS Level 3 USGS Level 3 USGS Level 4 USGS Level 4 Temporal Temporal 5-10 yrs 5-10 yrs 5-10 yrs 5-10 yrs 3-5 yrs 3-5 yrs 1-3 yrs 1-3 yrs Spatial Spatial 20-100 m 20-100 m 5-20 m 5-20 m 1-5 m 1-5 m 0.25-1 m 0.25-1 m Spectral Spectral VIS-NIR VIS-NIR VIS-NIR VIS-NIR Pan-VIS-NIR Pan-VIS-NIR Pan Pan Minimum Resolution Requirements Attributes Land Use/Land Cover L1 - USGS Level I L2 - USGS Level II L3 - USGS Level III L4 - USGS Level IV Building and Property Infrastructure B1 - building perimeter, area, height and cadastral information (property lines) Transportation Infrastructure T1 - general road centerline T2 - precise road width T3 - traffic count studies (cars, airplanes, etc.) T4 - parking studies Utility Infrastructure U1 - general utility line mapping and routing U2 - precise utility line width, right-of-way U3 - location of poles, manholes, substations Digital Elevation Model (DEM) Creation D1 - large scale DEM D2 - large scale slope map Socioeconomic Characteristics S1 - local population estimation S2 - regional/national population estimation S3 - quality of life indicators Energy Demand and Conservation E1 - energy demand and production potential E2 - building insulation surveys Meteorological Data M1 - weather prediction M2 - current temperature M3 - clear air and precipitation mode M4 - severe weather mode M5 - monitoring urban heat island effect Critical Environmental Area Assessment C1 - stable sensitive environments C2 - dynamic sensitive environments Disaster Emergency Response DE1 - pre-emergency imagery DE2 - post-emergency imagery DE3 - damaged housing stock DE4 - damaged transportation DE5 - damaged utilities, services Temporal 5 - 10 years 5 - 10 years 3 - 5 years 1 - 3 years 1 - 5 years Spatial 20 - 100 m 5 - 20 m 1-5m 0.25 - 1 m 0.25 - 0.5 m Spectral V-NIR-MIR-Radar V-NIR-MIR-Radar Pan-V-NIR-MIR Panchromatic Pan-Visible 1 - 5 years 1 - 2 years 5 - 10 min 10 - 60 min 1 - 5 years 1 - 2 years 1 - 2 years 5 - 10 years 5 - 10 years 5 - 7 years 5 - 15 years 5 - 10 years 1 - 5 years 1 - 5 years 3 - 25 min 3 - 25 min 6 - 10 min 5 min 12 - 24 hr 1 - 2 years 1 - 6 months 1 - 5 years 12 hr - 2 days 1 - 2 days 1 - 2 days 1 - 2 days 1 - 30 m 0.25 - 0.5 m 0.25 - 0.5 m 0.25 - 0.5 m 1 - 30 m 0.25 - 0.6 m 0.25 - 0.6 m 0.25 - 0.5 m 0.25 - 0.5 m 0.25 - 5 m 5 - 20 m 0.25 - 30 m 0.25 - 1 m 1-5m 1 - 8 km 1 - 8 km 1 km 1 km 5 - 30 m 1 - 10 m 0.25 - 2 m 1-5m 0.25 - 2 m 0.25 - 1 m 0.25 - 1 m 0.25 - 1 m Pan-V-NIR Pan-V Pan-V Pan-V Pan-V-NIR Pan-Visible Panchromatic Pan-Visible Pan-Visible Pan-V-NIR Pan-V-NIR Pan-V-NIR Pan-V-NIR TIR V-NIR-TIR TIR WSR-88D Radar WSR-88D Radar TIR V-NIR-MIR V-NIR-MIR-TIR Pan-V-NIR Pan-V-NIR-Radar Pan-V-NIR Pan-V-NIR Pan-V-NIR Urban/Suburban Attributes and Urban/Suburban Attributes and the Minimum Remote Sensing the Minimum Remote Sensing Resolutions Required to Provide Resolutions Required to Provide Such Information Such Information Clear polygons represent the spatial Clear polygons represent the spatial and temporal characteristics and temporal characteristics of selected urban attributes of selectedurban attributes urban Temporal Resolution in minutes Remote Sensing Remote Sensing Resolution Resolution Requirements Requirements Gray boxes depict the spatial and Gray boxes depict the spatial and temporal characteristics of the temporal characteristics of the remote sensing systems that may rremote sensing systems that may emote be used to extract the required be used to extract the required urban information urban information Land Use /Land Cover Land Use /Land Cover 80 80 50 50 30 30 20 20 10 10 5 45 4 3 3 2 2 1 1 Relationship between Relationship between sensor system spatial sensor system spatial resolution and land resolution and land use/land cover class use/land cover class 0.5 0.5 0.3 0.3 I II III IV I II III IV Land Cover Class (level) Land Cover Class (level) 0.3 1m 100 m 5 10 20 0.3 1m 100 m 5 10 20 107 107 15 year 8 S2 8 1015 year year 5 S2 10 yearD1 5 D2D1 LI LII S1 S3D2 3 LI LII S1 S3 3 5 year 5 year 2 4 year LIII E1 2 3 year 4 year LIII E1 6 U1 DE1, E2 T1 10 3 year U1 DE1, E2 T1 106 2 year B1 LIV 2 year T2 B1 LIV 8 C1 8 1 year U2T2 C1 5 1 year U3U2 5 U3 3 3 180 day SPOT HRV 1,2,3 and 4 (1998) 2 180 day Pan 1,2,3 and 4 (1998) SPOT HRV10 x10 2 MSS an 1020 P 20 x x10 JERS-1 IRS-1 AB SPOTMSS 20 x 20 HRG (2002) MSS JERS-1 18 x 24 B2 C2 105 100,000 min LISS-1 I72.5 xAB RS-1 72.5 Pan 3 xS3; 5 x HRG (2002) POT 5 (not shown) Radar 18 x 18 MSS 18 x 24 B2 C2 105 100,000 min LISS-1 72.5 x 72.5 MSS 10 x 3; 5 MIR(notxshown) LISS-2 36.25 x 36.25 Pan 3 x 10; x 5 20 20 55 day 8 Radar 18 x 18 IRS-1C LISS-2 36.25 x 36.25 MSS 10 x 10; MIR 20 x 20 day Pan 5.8 x 5.8 8 4455 day IRS-1C 5 LISS-3 23 Pan 5.8 x 5.8 x 70 x 23; MIR 70 3044 day day 5 2630 day EarthWatch LISS-3 23 x 23; MIR 70 x 70 day Earlybird (1998) EarthWatch 3 6 day 222day Pan 3 x 3 Earlybird (1998) 3 NOAA AVHRR 2 day MSS 15 x 15 Pan 3 x 3 162day 2 LAC 1.1 x 1.1 km LANDSAT 4,5 Quickbird15 x 15 NOAA AVHRR MSS (1998) 16 day 2 GAC 4 x 4 km km MSS 79 x 79 4,5 0.82 x 0.82 LAC 1.1 x 1.1 LANDSAT Quickbird (1998) 9 day TM SS x 30 79 3.28.823.28 GAC 4 x 4 km M30 79 x 0 x x 0.82 9 day 104 LANDSAT30(1998) TM 7 x 30 3.28 x 3.28 104 10,000 min LPan 15 x 15 (1998) ANDSAT 7 8 10,000 min Pan 15 x 15 8 5 day 5 day 4 day 5 4 day 5 3 day 3 day 3 3 2 day DE3 2 day MODIS * 2 DE4 DE3 Land 0.25 x 0.25 km MODIS * DE5 2 1 day DE4 Land 0.50 x 0.50 kmkm Land 0.25 x 0.25 DE5DE2 RADARSAT Ocean 1 x x 0.50 km 1 min Land 0.50 1 km 103 11 x 9 1,000day M5 Atmo 1 x 1 km km RADARSAT DE2 Ocean 1 x 1 100 x 1 x 9 TIR 1 x 1 x 1 km 103 12 hr min 1 100 1,000 M5 Atmo km 8 100 x 100 TIR 1 x 1 km EOSAT/Space Imaging 8 12 hr 5 EIKONOS (1998) OSAT/Space Imaging Pan 1 x 5 IKONOS1(1998) MSSan x 4 1 P 4 1x 3 IRS-P5 (1999) MSS 4 x 4 3 Pan 2.5 x 2.5 IRS-P5 (1999) 2 GOES Pan 2.5 x 2.5 VIS 0.9 X 0.9 km ORBIMAGE 2 M1 GOES TIR IS 0.9 8.00.9 km OrbView 3 (1999) V 8.0 X X km ORBIMAGE M1 102 100 min Pan 1 x 3 TIR 8.0 X 8.0 km OrbView 1 (1999) MSS 4 1 4 1 102 100 min Pan x x 8 MSS 4 x 4 8 1 hr 5 1 hr M2 5 M2 3 30 min Aerial Photography 3 30 min T4 2 0.3Aerial m (0.98 x 0.98 ft.) x 0.3 Photography METEOSAT T4 1 x01 m (3.281 x 3.281 0.98 ft.) M3 VISIR METEOSAT 2.5 x 2.5 km 2 .3 x 0.3 m (0.98 x ft.) 10 10 min 10 10 min 8 T3 8 T3 5 5 min 5 5 min 3 3 min 3 3 min 2 2 1 x 1 m (3.281 x 3.281 ft.) TIR 5 2.5 x 2.5 VISIR x 5 km km TIR 5 x 5 km Ground Doppler Ground Radar Doppler 4 x Radar 4 km 4 x 4 km M3 M4 M4 L1 - - USGS Level I L1 USGS Level I L2 - - USGS Level II L2 USGS Level II L3 - - USGS Level III L3 USGS Level III L4 - - USGS Level IV L4 USGS Level IV Temporal Spatial Temporal Spatial Resolution Resolution Resolution Resolution 55 - 10 years 20 - - 100 m - 10 years 20 100 m 55 - 10 years - 10 years 55 - 15 m - 15 m 33 -55 years - years 11 - 55 m m 11 -33 years 0.3 - - 11 m - years m 0.3 Approximate IFOV (m) Temporal Resolution 1 m 2 3 5 10 15 20 30 1 m 2 3 5 10 15 20 30 100 m 100 m 1 km 1m 1000 km 1000 m 5 km 10 km 5 km 10 km 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 23 5 103 2 3 4 5 8 104 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 23 5 103 2 3 4 5 8 104 Spatial Resolution in meters Building and Cadastral Building and Cadastral (Property Line) Infrastructure (Property Line) Infrastructure Derived from 0.3 xx 0.3 m Derived from 0.3 0.3 m (1 xx 1 ft.) spatial resolution (1 1 ft.) spatial resolution stereoscopic, panchromatic stereoscopic, panchromatic aerial photography aerial photography Temporal Temporal Resolution Resolution B1 - - building perimeter, area, volume, height 11 -22 years building perimeter, area, volume, height - years B1 B2 - - cadastral mapping (property lines) cadastral mapping (property lines) 11 -66 mo - mo B2 Spatial Spatial RResolution esolution 0.3 - - 0.5 m 0.3 0.5 m 0.3 - - 0.5 m 0.3 0.5 m 0.3 1m 100 m 5 10 20 0.3 1m 100 m 5 10 20 107 107 15 year 8 S2 8 1015 year year 5 S2 10 yearD1 5 LI D2D1 LII S1 S3D2 3 LI LII year S1 3 5 5 year S3 2 4 year LIII E1 2 3 4 year LIII E1 year T1 U1 DE1, E2 106 3 year 2 year B1 LIV T1 U1 DE1, E2 106 2 year T2 B1 LIV 8 C1 8 1 year U2T2 C1 5 1 year U3U2 5 U3 3 3 180 day SPOT HRV 1,2,3 and 4 (1998) 2 180 day Pan 1,2,3 and 4 (1998) SPOT HRV10 x10 2 MSS an 1020 P 20 x x10 JERS-1 IRS-1 AB SPOTMSS 20 x 20 HRG (2002) MSS JERS-1 18 x 24 105 100,000 min B2 C2 LISS-1 I72.5 xAB RS-1 72.5 Pan 3 xSPOT HRG (2002) 3; 5 x 5 (not shown) Radar 18 x 18 MSS 18 x 24 105 100,000 min B2 C2 LISS-1 72.5 x 72.5 MSS 10 x 3; 5 MIR(notxshown) LISS-2 36.25 x 36.25 Pan 3 x 10; x 5 20 20 55 day 8 Radar 18 x 18 IRS-1C LISS-2 36.25 x 36.25 MSS 10 x 10; MIR 20 x 20 Pan 5.8 x 5.8 day 8 4455 day IRS-1C 5 LISS-3 23 Pan 5.8 x 5.8 x 70 x 23; MIR 70 3044 day day 5 2630 day EarthWatch LISS-3 23 x 23; MIR 70 x 70 day Earlybird (1998) EarthWatch 3 6 day 222day Pan 3 x 3 Earlybird (1998) 3 NOAA AVHRR 2day 2 day MSS 15 x 153 Pan 3 x 16 2 LAC 1.1 x 1.1 km Quickbird15 x 15 LANDSAT 4,5 NOAA AVHRR MSS (1998) 16 day 2 GAC 4 x 4 km km 0.82 x 0.82 MSS 79 x 79 4,5 LAC 1.1 x 1.1 Quickbird (1998) LANDSAT 9 day 3.28.823.28 TM SS x 30 79 GAC 4 x 4 km 0 x x 0.82 M30 79 x 9 day 104 LANDSAT30(1998) 3.28 x 3.28 TM 7 x 30 104 10,000 min LPan 15 x 15 (1998) ANDSAT 7 8 0,000 51day min Pan 15 x 15 8 4 5 day day 5 day 5 3 4 day 3 day 3 day 3 2 2 day DE3 MODIS * 2 DE4 DE3 Land 0.25 x 0.25 km MODIS * DE5 2 1 day DE4 Land 0.50 x 0.50 kmkm Land 0.25 x 0.25 DE5DE2 RADARSAT Ocean 1 x x 0.50 km 1 min Land 0.50 1 km 103 11 x 9 1,000day M5 Atmo 1 x 1 km km RADARSAT Ocean 1 x 1 DE2 100 x 1 x 9 TIR 1 x 1 km km 103 12 hr min 1 100 1,000 Atmo 1 x 1 M5 8 100 x 100 TIR 1 x 1 km EOSAT/Space Imaging 8 12 hr 5 EIKONOS (1998) OSAT/Space Imaging Pan 1 x 1 5 IKONOS (1998) MSSan x 4 1 P 4 1x 3 IRS-P5 (1999) MSS 4 x 4 3 Pan 2.5 x 2.5 IRS-P5 (1999) 2 GOES Pan 2.5 x 2.5 ORBIMAGE VIS 0.9 X 0.9 km 2 M1 GOES OrbView 3 (1999) TIR IS 0.9 8.00.9 km ORBIMAGE V 8.0 X X km M1 2 100 min 10 Pan 1 x 3 OrbView 1 (1999) TIR 8.0 X 8.0 km MSS 4 1 4 1 102 100 min Pan x x 8 MSS 4 x 4 8 1 hr 5 1 hr M2 5 M2 3 30 min Aerial Photography 3 30 min T4 2 METEOSAT 0.3Aerial m (0.98 x 0.98 ft.) x 0.3 Photography T4 VISIR METEOSAT 2.5 x 2.5 km M3 1 x01 m (3.281 x 3.281 0.98 ft.) 2 .3 x 0.3 m (0.98 x ft.) 10 10 min 10 10 min 8 T3 8 T3 5 5 min 5 5 min 3 3 min 3 3 min 2 2 1 x 1 m (3.281 x 3.281 ft.) TIR 5 2.5 x 2.5 VISIR x 5 km km TIR 5 x 5 km Ground Doppler Ground Radar Doppler 4 x Radar 4 km 4 x 4 km M3 M4 M4 Temporal Resolution 1m 2 3 5 10 15 20 30 1m 2 3 5 10 15 20 30 100 m 100 m 1 km 1m 1000 km 1000 m 5 km 10 km 5 km 10 km 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 Spatial Resolution in meters Transportation Infrastructure Transportation Infrastructure Irmo, S.C. TIGER road network updated using SPOT 10 xx 10 m data Irmo, S.C. TIGER road network updated using SPOT 10 10 m data Bridge assessment using high Bridge assessment using high resolution oblique photography resolution oblique photography PParking/traffic studies require arking/traffic studies require high spatial/temporal resolution high spatial/temporal resolution Spatial Spatial RResolution esolution 11 - 10 m - 10 m 0.3 - - 0.5 m 0.3 0.5 m 0.3 - - 0.5 m 0.3 0.5 m 0.3 - - 0.5 m 0.3 0.5 m 0.3 1m 100 m 5 10 20 0.3 1m 100 m 5 10 20 107 107 15 year 8 S2 8 1015 year year 5 S2 10 yearD1 5 D2D1 LI LII S1 S3D2 3 LI LII S1 S3 3 5 year 5 year 2 4 year LIII E1 2 3 year 4 year LIII E1 U1 DE1, E2 T1 106 3 year U1 DE1, E2 T1 106 2 year B1 LIV 2 year T2 B1 LIV 8 C1 8 1 year U2T2 C1 5 1 year U3U2 5 U3 3 3 180 day SPOT HRV 1,2,3 and 4 (1998) 2 180 day Pan 1,2,3 and 4 (1998) SPOT HRV10 x10 2 MSS an 1020 P 20 x x10 JERS-1 IRS-1 AB SPOTMSS 20 x 20 HRG (2002) MSS JERS-1 18 x 24 B2 C2 105 100,000 min LISS-1 I72.5 xAB RS-1 72.5 Pan 3 xSPOT HRG (2002) 3; 5 x 5 (not shown) Radar 18 x 18 MSS 18 x 24 B2 C2 105 100,000 min LISS-1 72.5 x 72.5 MSS 10 x 3; 5 MIR(notxshown) LISS-2 36.25 x 36.25 Pan 3 x 10; x 5 20 20 8 55 day Radar 18 x 18 IRS-1C LISS-2 36.25 x 36.25 MSS 10 x 10; MIR 20 x 20 Pan 5.8 x 5.8 day 8 4455 day IRS-1C 5 LISS-3 23 Pan 5.8 x 5.8 x 70 x 23; MIR 70 3044 day day 5 2630 day EarthWatch LISS-3 23 x 23; MIR 70 x 70 day Earlybird (1998) EarthWatch 3 6 day 222day Pan 3 x 3 (1998) Earlybird 3 NOAA AVHRR 2 day MSS 15 x 153 Pan 3 x 162day 2 LAC 1.1 x 1.1 km Quickbird15 x 15 LANDSAT 4,5 NOAA AVHRR MSS (1998) 16 day 2 GAC 4 x 4 km km 0.82 x 0.82 MSS 79 x 79 4,5 LAC 1.1 x 1.1 Quickbird (1998) LANDSAT 9 day 3.28.823.28 TM 30 x 30 79 GAC 4 x 4 km 0 x x 0.82 MSS 79 x 9 day 104 10,000 min LANDSAT30(1998) 3.28 x 3.28 TM 7 x 30 104 10,000 min LPan 15 x 15 (1998) ANDSAT 7 8 Pan 15 x 15 8 5 day 5 day 4 day 5 4 day 5 3 day 3 day 3 3 2 day DE3 2 day MODIS * 2 DE4 DE3 Land 0.25 x 0.25 km MODIS * DE5 2 1 day DE4 Land 0.50 x 0.50 kmkm Land 0.25 x 0.25 DE5DE2 RADARSAT Ocean 1 x x 0.50 km Land 0.50 1 km 1 min 11 x 9 103 1,000day Atmo 1 x 1 km km M5 RADARSAT Ocean 1 x 1 DE2 100 x 1 x 9 TIR 1 x 1 x 1 km 1,000 1 100 103 12 hr min Atmo 1 km M5 8 100 x 100 TIR 1 x 1 km EOSAT/Space Imaging 8 12 hr 5 EIKONOS (1998) OSAT/Space Imaging Pan 1 x 1 5 IKONOS (1998) MSSan x 4 1 P 4 1x 3 IRS-P5 (1999) MSS 4 x 4 3 Pan 2.5 x 2.5 IRS-P5 (1999) 2 GOES Pan 2.5 x 2.5 ORBIMAGE VIS 0.9 X 0.9 km 2 M1 GOES OrbView 3 (1999) TIR IS 0.9 8.00.9 km ORBIMAGE V 8.0 X X km M1 2 100 min Pan 1 x 3 10 OrbView 1 (1999) TIR 8.0 X 8.0 km MSS 4 1 4 1 Pan x x 102 100 min 8 MSS 4 x 4 8 1 hr 5 1 hr M2 5 M2 3 30 min Aerial Photography 3 30 min T4 2 0.3Aerial m (0.98 x 0.98 ft.) x 0.3 Photography METEOSAT T4 M3 1 x01 m (3.281 x 3.281 0.98 ft.) VISIR METEOSAT 2.5 x 2.5 km 2 .3 x 0.3 m (0.98 x ft.) 10 10 min 10 10 min 8 T3 8 T3 5 5 min 5 min 5 3 3 min 3 min 3 2 2 1 x 1 m (3.281 x 3.281 ft.) TIR 5 2.5 x 2.5 VISIR x 5 km km TIR 5 x 5 km Ground Doppler Ground Radar Doppler 4 x Radar 4 km 4 x 4 km M3 M4 M4 Temporal Temporal Resolution Resolution T1 - - general road centerline general road centerline 11 -55 years - years T1 T2 - - precise road width 11 -22 years - years T2 precise road width T3 - - traffic count studies (cars, planes etc.) 55 -10 min - 10 min T3 traffic count studies (cars, planes etc.) T4 - - parking studies 10 - -60 min T4 parking studies 10 60 min Temporal Resolution 1 m 2 3 5 10 15 20 30 1 m 2 3 5 10 15 20 30 100 m 100 m 1 km 1m 1000 km 1000 m 5 km 10 km 5 km 10 km 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 Spatial Resolution in meters Meteorological Data Meteorological Data GOES East image of Hurricane Hugo 2:44 p.m. EDT Sept. 21, 1989 GOES East image of Hurricane Hugo 2:44 p.m. EDT Sept. 21, 1989 Temporal Spatial Temporal Spatial Resolution Resolution Resolution Resolution M1 - - daily weather prediction daily weather prediction 30 min - - 12 hr 12 hr 11 -88km M1 30 min km M2 - - current temperature 30 min - - 11 hr hr 11 -88km M2 current temperature 30 min km M3 - - current precipitation current precipitation 10 min - - 30 min 44xx 4km 30 min 4 km M3 10 min M4 - - immediate severe storm warning 55 min- - 10 min 44xx 4km min 10 min 4 km M4 immediate severe storm warning M5 - - monitoring urban heat islands 12 - - 24 hr 55xx 10m 10 m M5 monitoring urban heat islands 12 24 hr 0.3 1m 100 m 5 10 20 0.3 1m 100 m 5 10 20 107 107 15 year 8 S2 8 1015 year year 5 S2 10 yearD1 5 LI D2D1 LII S1 S3D2 3 LI LII year S1 3 5 5 year S3 2 4 year LIII E1 2 3 4 year LIII E1 year T1 U1 DE1, E2 106 3 year T1 U1 DE1, E2 106 2 year B1 LIV 2 year T2 B1 LIV 8 C1 8 1 year U2T2 C1 5 1 year U3U2 5 U3 3 3 180 day SPOT HRV 1,2,3 and 4 (1998) 2 180 day Pan 1,2,3 and 4 (1998) SPOT HRV10 x10 2 MSS an 1020 P 20 x x10 JERS-1 IRS-1 AB SPOTMSS 20 x 20 HRG (2002) MSS JERS-1 18 x 24 B2 C2 105 100,000 min LISS-1 I72.5 xAB RS-1 72.5 Pan 3 xSPOT HRG (2002) 3; 5 x 5 (not shown) Radar 18 x 18 MSS 18 x 24 B2 C2 105 100,000 min LISS-1 72.5 x 72.5 MSS 10 x 3; 5 MIR(notxshown) LISS-2 36.25 x 36.25 Pan 3 x 10; x 5 20 20 8 55 day Radar 18 x 18 IRS-1C LISS-2 36.25 x 36.25 MSS 10 x 10; MIR 20 x 20 Pan 5.8 x 5.8 day 8 4455 day IRS-1C 5 LISS-3 23 Pan 5.8 x 5.8 x 70 x 23; MIR 70 3044 day day 5 2630 day EarthWatch LISS-3 23 x 23; MIR 70 x 70 day Earlybird (1998) EarthWatch 3 6 day 222day Pan 3 x 3 Earlybird (1998) 3 NOAA AVHRR 2 day MSS 15 x 153 Pan 3 x 162day 2 LAC 1.1 x 1.1 km Quickbird15 x 15 (1998) LANDSAT 4,5 NOAA AVHRR MSS 16 day 2 GAC 4 x 4 km km 0.82 x 0.82 MSS 79 x 79 4,5 LAC 1.1 x 1.1 Quickbird (1998) LANDSAT 9 day 3.28.823.28 TM SS x 30 79 GAC 4 x 4 km 0 x x 0.82 M30 79 x 9 day 104 LANDSAT30(1998) 3.28 x 3.28 TM 7 x 30 104 10,000 min LPan 15 x 15 (1998) ANDSAT 7 8 1day min 0,000 Pan 15 x 15 8 5 5 day 4 day 5 day 5 3 4 day 3 day 3 day 3 2 2 day DE3 MODIS * 2 DE4 DE3 Land 0.25 x 0.25 km MODIS * DE5 2 1 day DE4 Land 0.50 x 0.50 kmkm Land 0.25 x 0.25 DE5DE2 RADARSAT Ocean 1 x x 0.50 km Land 0.50 1 km 1 min 3 11 x 9 1,000day 10 Atmo 1 x 1 km km M5 RADARSAT Ocean 1 x 1 DE2 100 x 1 x 9 TIR 1 x 1 km km 1 100 1,000 103 12 hr min Atmo 1 x 1 M5 8 100 x 100 TIR 1 x 1 km EOSAT/Space Imaging 8 12 hr 5 EIKONOS (1998) OSAT/Space Imaging Pan 1 x 1 5 IKONOS (1998) MSSan x 4 1 P 4 1x 3 IRS-P5 (1999) MSS 4 x 4 3 Pan 2.5 x 2.5 IRS-P5 (1999) 2 GOES Pan 2.5 x 2.5 ORBIMAGE VIS 0.9 X 0.9 km 2 M1 GOES OrbView 3 (1999) TIR IS 0.9 8.00.9 km ORBIMAGE V 8.0 X X km M1 Pan 1 x 3 102 100 min OrbView 1 (1999) TIR 8.0 X 8.0 km MSS 4 1 4 1 Pan x x 102 100 min 8 MSS 4 x 4 8 1 hr 5 1 hr 5 3 30 min 3 30 min T4 2 T4 2 10 10 min 10 10 min 8 T3 8 T3 5 min 5 5 min 5 3 min 3 3 min 3 2 2 M2 M2 Aerial Photography 0.3Aerial m (0.98 x 0.98 ft.) x 0.3 Photography 1 x01 m (3.281 x 3.281 0.98 ft.) .3 x 0.3 m (0.98 x ft.) 1 x 1 m (3.281 x 3.281 ft.) METEOSAT VISIR METEOSAT 2.5 x 2.5 km TIR 5 2.5 x 2.5 VISIR x 5 km km TIR 5 x 5 km Ground Doppler Ground Radar Doppler 4 x Radar 4 km 4 x 4 km M3 M3 Temporal Resolution M4 M4 1m 2 3 5 10 15 20 30 1m 2 3 5 10 15 20 30 100 m 100 m 1 km 1m 1000 km 1000 m 5 km 10 km 5 km 10 km 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 0.2 0.3 .5 .8 1.0 2 3 5 10 2 3 5 102 2 3 5 103 2 3 4 5 8 104 Spatial Resolution in meters Socioeconomic Characteristics Socioeconomic Characteristics •• Population Estimations Population Estimations •• Energy Demand and Conservation Energy Demand and Conservation •• Quality of Life Indicators Quality of Life Indicators Building Building Lot Lot Adjacent Amenities Adjacent Amenities Adjacent Hazards Adjacent Hazards Remote Sensing Quality of Living Indicators Remote Sensing Quality of Living Indicators Quality of living indicators such as house value, median family income, average Quality of living indicators such as house value, median family income, average number of rooms, average rent, education, and income can be estimated by number of rooms, average rent, education, and income can be estimated by extracting the following variables from high spatial resolution panchromatic extracting the following variables from high spatial resolution panchromatic and/or color imagery (Lindgren, 1985; Lo, 1986; 1995; Haack et al., 1997): and/or color imagery (Lindgren, 1985; Lo, 1986; 1995; Haack et al., 1997): •• building size (sq. ft.) •• lot size (acreage) building size (sq. ft.) lot size (acreage) •• existence of aapool (sq. ft.) •• vacant lots per city block existence of pool (sq. ft.) vacant lots per city block •• frontage (sq. ft.) •• distance house is set-back from street frontage (sq. ft.) distance house is set-back from street •• existence of driveways •• existence of garages existence of driveways existence of garages •• number of autos visible •• paved streets (%) number of autos visible paved streets (%) •• street width (ft.) street width (ft.) •• health of the landscaping (vegetation index signature) health of the landscaping (vegetation index signature) •• proximity to manufacturing and/or retail activity. proximity to manufacturing and/or retail activity. Human Habitation in Much of the Undeveloped World Human Habitation in Much of the Undeveloped World Usually Requires High Spatial Resolution Imagery to Usually Requires High Spatial Resolution Imagery to Estimate Population or Extract Quality of Life Indicators Estimate Population or Extract Quality of Life Indicators New Venice Village, Santa Marta, in the La Magdelena Province of New Venice Village, Santa Marta, in the La Magdelena Province of Colombia South America. The people built lake dwellings to be closer to Colombia South America. The people built lake dwellings to be closer to their fishing grounds. Buildings are separated by 10 to 30 m channels to their fishing grounds. Buildings are separated by 10 to 30 m channels to allow boat traffic in all directions. allow boat traffic in all directions. Farm in the altiplano adjacent to La Paz, Bolivia at 4,100 m Farm in the altiplano adjacent to La Paz, Bolivia at 4,100 m above sea level. Grain has been harvested and arranged in above sea level. Grain has been harvested and arranged in rows of sheaves. Piles of stones (cairns) have a a light center rows of sheaves. Piles of stones (cairns) have light center with a a darker border of weeds and shrubs. with darker border of weeds and shrubs. So. California Coast So. Oceanside, CA San Francisco Peninsula San San Bruno, CA Steamboat Springs, CO. Steamboat Gary, Indiana Virginia, Minnesota Virginia, UC Davis UC Read Chapter 4 for Wednesday Read Chapter 4 for Wednesday Download and read from class web page: Download and read from class web page: Additional reading/NRCS_Interp_Chap2 Additional reading/NRCS_Interp_Chap2 (ignore “activities” (ignore “activities”)) ...
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