Presentation is loading. Please wait.

Presentation is loading. Please wait.

Remote Sensing Applications

Similar presentations


Presentation on theme: "Remote Sensing Applications"— Presentation transcript:

1 Remote Sensing Applications
GEOG3610 Remote Sensing and Image Interpretation Remote Sensing Applications Remote Sensing Applications

2 Remote Sensing Applications
GEOG3610 Remote Sensing and Image Interpretation Remote Sensing Applications Agriculture and forestry Resource and environment Urban and regional development Other applications Remote Sensing Applications

3 Agriculture and forestry
GEOG3610 Remote Sensing and Image Interpretation Agriculture and forestry Agriculture Resource inventory Monitoring and prediction Management Forestry Planning and management Environment protection and management Remote Sensing Applications

4 Agriculture resource inventory
GEOG3610 Remote Sensing and Image Interpretation Agriculture resource inventory Landsat TM colour infrared composite showing a marginal agriculture area in Fukang County of Xinjiang, western China. The agriculture and life rely on water supply so that a reliable irrigation system is fundamental for agriculture. Note the existing farmlands are clearly shown on the image. In between there are potential farmlands but currently suffered from lack of irrigation, salinity and sand shifting. The sand dunes are shown in the north with a clear boundary to the farmlands. Remote Sensing Applications

5 GEOG3610 Remote Sensing and Image Interpretation
Yield prediction Cropped area The larger the cropped area, the higher yield probability Growth condition temperature water pests control Remote Sensing Applications

6 GEOG3610 Remote Sensing and Image Interpretation
Cropped area Landsat TM image acquired in spring 1998 showing the winter wheat crop land (green colour) in the North China Plain south of Beijing. The Beijing city is shown on the mid-top of the image (dark grey colour). Note during the early spring season, the winter wheat is almost the only green vegetation shown in the area. Remote Sensing Applications

7 Growth conditions and prediction method
GEOG3610 Remote Sensing and Image Interpretation Growth conditions and prediction method Use historical data over a number of growth seasons to calibrate model. Climate: temperature and rainfall Final harvest yield Derive NDVI images at key periods of growth Derive relationships between NDVI images, climatic conditions prior to and at image acquisition and the final yield. Favourable climate and High NDVI will probably result in high yield. Remote Sensing Applications

8 GEOG3610 Remote Sensing and Image Interpretation
Growth conditions B NIR Reflectance Stressed Healthy G R Band Soil Evaluation of reflectance in NIR will show the variation between healthy and stressed vegetation. t1 Climate condition Time t2 Harvest Yield NDVI norm NDVI season Comparison between vegetation indices acquired during critical growth period will reveal growth status of the crop. Remote Sensing Applications

9 GEOG3610 Remote Sensing and Image Interpretation
Precision farming Precision agriculture is the customization of soil and crop management according to conditions found within fields. At its core is variable rate technology (VRT), i.e. vary crop inputs according to the need fertilizer water The key issue is to define the “need” ground sampling remotely sensing Remote Sensing Applications

10 Use of remote sensing technology
GEOG3610 Remote Sensing and Image Interpretation Use of remote sensing technology satellites Maps: Yield Soil properties Pests V R T aeroplane Reports for agriculture input for GIS models GPS Soil classification Crop emergence Weed pressure Pest detection Nutrient problems Water problems Other anomalies Change detection Remote sensing images Site specific crop management Variable Rate Technology (VRT) Remote Sensing Applications

11 Low-altitude aircraft
GEOG3610 Remote Sensing and Image Interpretation Low-altitude aircraft Remotely piloted aircraft, typical flight height: metres Ultra-light aircraft, 2 seats, typical flight height: metres Remote Sensing Applications

12 GEOG3610 Remote Sensing and Image Interpretation
Crop conditions A low-altitude colour infrared airphoto acquired in May 1998 showing an agriculture winter wheat field. Note the variations of the crop growth condition due to the micro-relief, local soil varieties and minor differences in management (fertilising and irrigation). Remote Sensing Applications

13 GEOG3610 Remote Sensing and Image Interpretation
Soil conditions A low-altitude colour infrared airphoto acquired in May 1998 showing an agriculture field with or without winter wheat crops. Note the variations of the soil condition, ploughed or not, also varied in moisture. Remote Sensing Applications

14 GEOG3610 Remote Sensing and Image Interpretation
Forestry Planning and management Timber reserves Log planning Environment protection and management Forest regeneration Wildlife protection and reserves Remote Sensing Applications

15 GEOG3610 Remote Sensing and Image Interpretation
Forest condition IKONOS 4-m resolution colour infrared composite acquired on 12/10/99 showing the mountains and ski runs near Copper Mountain, Colorado. Note the clear-cut area and forest health difference that can be interpreted by the shade of red colour (the darker the healthier). (courtesy spaceimaging.com) Remote Sensing Applications

16 GEOG3610 Remote Sensing and Image Interpretation
Fire detection The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image shows the Clear Creek fire in Idaho of USA on the morning of 30 August 2000. (courtesy NASA) Remote Sensing Applications

17 Evaluating fire damage
GEOG3610 Remote Sensing and Image Interpretation Evaluating fire damage IKONOS 4-m resolution colour infrared composite acquired on 14/6/00 showing the Hi Meadows fire in Jefferson and Park Counties, Colorado. Note the heavily burned areas (dark blue), the haze of smoke and areas not yet burned (red). (courtesy spaceimaging.com) Remote Sensing Applications

18 Resource and environment
GEOG3610 Remote Sensing and Image Interpretation Resource and environment Resource inventory land resources (e.g. farmland) water resources mineral resources Environment management rangeland management coastal zone management natural hazards and disasters Remote Sensing Applications

19 GEOG3610 Remote Sensing and Image Interpretation
Mineral exploration The composite of Radarsat image and Total Field MAG. The image is produced by rasterising 500m line spacing GSC Survey to 200m pixel spacing and integrated with Radarsat image through IHS as: Intensity: Radarsat SAR Hue: MAG Total Field Saturation: DN=75 (constant) (courtesy Canadian Space Agency) Remote Sensing Applications

20 GEOG3610 Remote Sensing and Image Interpretation
Geological structure The perspective view shows a proportion of the 1200km San Andreas Fault and was generated using data from the Shuttle Radar Topography Mission (SRTM), which flew on NASA's Space Shuttle in February 2000, and an enhanced Landsat TM natural colour composite. (courtesy NASA) Remote Sensing Applications

21 Rangeland vegetation resources
GEOG3610 Remote Sensing and Image Interpretation Rangeland vegetation resources Low-altitude airphoto pair acquired in July 1997 showing distribution of shrub vegetation and soil erosion features in Fowlers Gap Station at western New South Wales, Australia. The height of the shrubs can be measured using digital photogrammetric methods so that the total volumes of vegetation and biomass can be modelled. Remote Sensing Applications

22 GEOG3610 Remote Sensing and Image Interpretation
Rangeland management Landsat MSS image acquired on 15 December 1989 showing the rangeland environment around Pooncarie, western New South Wales, Australia. A series of ancient dry lakes are clearly shown with the most famous Lake Mango national park - a natural heritage of the world. Note the clear boundaries between properties indicating the management differences between land owners. Remote Sensing Applications

23 Coastal zone management
GEOG3610 Remote Sensing and Image Interpretation Coastal zone management Airborne multispectral images showing coastal zone features such as waves, sand bars, lagoon and landuse features. The image on the left is natural colour composite while the one on the right is the colour infrared composite. (courtesy Mercator GIS and Environmental Corporation) Remote Sensing Applications

24 Natural hazards and disasters
GEOG3610 Remote Sensing and Image Interpretation Natural hazards and disasters Airborne multispectral scanner images showing South Padre Island, Texas, USA. The "cuts" shown on the right image were created by Hurricane Bret and the imagery (acquired in September 1999) shows substantial coastal erosion when compared with the one taken in 1996 (left). (courtesy Mercator GIS and Environmental Corporation) Remote Sensing Applications

25 GEOG3610 Remote Sensing and Image Interpretation
Flood Classified Radarsat (C-band) image for mid-reach of Yangtze River flooded area (near the city of Wuhan) on 22/8/1998. Remote Sensing Applications

26 GEOG3610 Remote Sensing and Image Interpretation
Volcano activity Landsat 7 Enhanced Thematic Mapper (ETM+) natural colour composite acquired on 13 February 2000 showing the active Kagoshima Volcano, Japan. There are many people living in close proximity to the volcano (top left) regardless the inconvenience of the high density of volcano ash and potential danger. (Courtesy USGS) Remote Sensing Applications

27 GEOG3610 Remote Sensing and Image Interpretation
Earthquake In radar interferometry, two or more radar images are combined to give measurements of surface height and surface change, making it useful for the detection of earthquake centre. This can be seen on the right image showing 1995 earthquake in Kobe, Japan. Remote Sensing Applications

28 GEOG3610 Remote Sensing and Image Interpretation
Geological hazards Zhou Qu landslide and mudflow (August 2010): high-resolution images were used to detect the change of land cover for the assessment of the damage. - Courtesy of State Bureau of Surveying and Mapping, China, and PanSpace Remote Sensing Applications

29 Urban and regional development
GEOG3610 Remote Sensing and Image Interpretation Urban and regional development Regional landuse change detection Urban expansion Living conditions and housing standards Planning Remote Sensing Applications

30 GEOG3610 Remote Sensing and Image Interpretation
Regional development A B C D E TM image for Pearl River Delta, one of the most rapidly developed region in the world. Note the five international airports in a very closed proximity (A: Hong Kong, B: Shenzhen, C: Macau, D: Zhuhai and E: Guangzhou). How many more are there to be built? Remote Sensing Applications

31 Landuse and land cover change
GEOG3610 Remote Sensing and Image Interpretation Landuse and land cover change Landsat TM images acquired in 1988 and 1998 showing the dramatic landuse change in Dongguan City at eastern Pearl River Delta. Note the industrial belt from Humen to Dongguan shown on the 1998 image did not exist at all on the image acquired 10 years ago. 1988 1998 Remote Sensing Applications

32 GEOG3610 Remote Sensing and Image Interpretation
Urban planning Airphotos showing urban area change in Hong Kong in the last 50 years. The up photo shows Central in 1945 and right photo shows Wanchai in 1999. Remote Sensing Applications

33 GEOG3610 Remote Sensing and Image Interpretation
Other applications Weather forecasting Global studies: El Nino and La Nina phenomena Military interest Astronomic studies and exploration Remote Sensing Applications

34 GEOG3610 Remote Sensing and Image Interpretation
Weather forecasting Cloud imagery is now the default part for TV weather report Tropical cyclone (typhoon) warning Sandstorm forecasting Remote Sensing Applications

35 GEOG3610 Remote Sensing and Image Interpretation
Tropical cyclone Meteorological satellite image showing a tropical cyclone hitting Hong Kong. Remote Sensing Applications

36 GEOG3610 Remote Sensing and Image Interpretation
Sandstorm Meteorological satellite image showing a sandstorm swiping North China on 22 March 2010. Remote Sensing Applications

37 Sandstorm forecasting
GEOG3610 Remote Sensing and Image Interpretation Sandstorm forecasting 17 March 2000 22 March 2000 27 March 2000 6 April 2000 8 April 2000 9 April 2000 Images showing the progress of the sandstorm over North China in spring The image acquired on 9 April was from Chinese Fengyun meteorological satellite. The rest were acquired from NOAA meteorological satellites. (courtesy Institute of Remote Sensing Applications of Chinese Academy of Sciences) Remote Sensing Applications

38 GEOG3610 Remote Sensing and Image Interpretation
Global studies Oceanography El nino and La Nina phenomena Global warming The global carbon circulation (CO and CO2 emission) Ozone layer monitoring El Nino phenomenon shown by NOAA satellite image. Note the high temperature current along equator. Remote Sensing Applications

39 GEOG3610 Remote Sensing and Image Interpretation
Ocean temperature The global ocean temperature distribution by NOAA satellites. (courtesy NOAA) Remote Sensing Applications

40 GEOG3610 Remote Sensing and Image Interpretation
Ocean current CZCS image of the Gulf Stream and northeastern coast of the US. Several large Gulf Stream warm core rings are visible in this image. (courtesy daac.gsfc.nasa.gov) Remote Sensing Applications

41 Changing global land surface
GEOG3610 Remote Sensing and Image Interpretation Changing global land surface The carbon cycle Evapotranspiration and greenhouse warming Plants on the move Snow and ice Remote Sensing Applications

42 Global climatic change
GEOG3610 Remote Sensing and Image Interpretation Global climatic change GERES images showing the global short-wave (upper) and long-wave (lower) radiation, measuring the balance of solar energy received by the Earth and the energy reflected and emitted back into space. Understanding the energy balance of the Earth system is critical for assessing scientific models of climatic change. (courtesy terra.nasa.gov) Remote Sensing Applications

43 GEOG3610 Remote Sensing and Image Interpretation
Deforestation Landsat image showing deforestation in the Amazon region, taken from the Brazilian state of Para on 15 July The dark areas are forest, the white is deforested areas, and the grey is re-growth. The pattern of deforestation spreading along roads is obvious (lower part of the image). (courtesy terra.nasa.gov) Remote Sensing Applications

44 GEOG3610 Remote Sensing and Image Interpretation
Snow and ice These Landsat images, acquired 13 years apart, show the retreat of the Muir Glacier (A) in southeastern Alaska. Between 12 September 1973 (left image) and 6 September 1986 (right image), the Muir Glacier retreated to the northwest more than 7 km. (courtesy terra.nasa.gov) Remote Sensing Applications

45 GEOG3610 Remote Sensing and Image Interpretation
Military interest A digital orthophoto quadrangle image showing a "parking yard" of B52 bombers located 17km southeast of Tucson, Arizona, USA. The image was acquired on 5 December 1994, while the most B52s retired from military service. (courtesy USGS) Remote Sensing Applications

46 GEOG3610 Remote Sensing and Image Interpretation
Target recognition Airphotos showing objects of military interest. Above: pentagon building (US Department of Defence), Right: a battle ship (USS Intrepid) at New York City Harbour. (courtesy USGS) Remote Sensing Applications

47 GEOG3610 Remote Sensing and Image Interpretation
Damage caused by war IKONOS 1-m resolution images showing downtown Grozny, Chechnya. The left image was acquired on 16 December 1999 and the right image was acquired on 16 March It is evident that several buildings surrounding Minutka Square (lower-right) have been severely damaged. (courtesy spaceimaging.com) Remote Sensing Applications

48 Military campaign assessment
GEOG3610 Remote Sensing and Image Interpretation Military campaign assessment Military spy satellite images showing the Heart Airfield, Afghanistan during the anti-terrorism strike by the U.S. military force in October The left is the pre-strike image and the left is the post-strike image. The damage on the parking aircraft is clearly shown on the post-strike image. (courtesy sina.com.cn) Remote Sensing Applications

49 Astronomic Studies and Exploration
GEOG3610 Remote Sensing and Image Interpretation Astronomic Studies and Exploration Remote sensing technology does not only look down the earth, but also look out the universe. Right: surface of the moon; Top left: the Jupiter; Top: the Saturn. (courtesy spaceimaging.com) Remote Sensing Applications

50 GEOG3610 Remote Sensing and Image Interpretation
Summary Remotely sensed data have been widely used in many fields of applications. In early dates, because of the low resolution, remote sensing images were mostly used in environment and natural resource studies. With the largely improved availability of high resolution data, the technology is now widely used in urban and regional applications, as well as management. The technology will soon become an important part of daily life. Remote Sensing Applications


Download ppt "Remote Sensing Applications"

Similar presentations


Ads by Google