Remote Sensing Lecture Notes PDF

Example of Remote Sensing System The Human Visual System  deriving Practice of information about the earth’s land and water surfaces using images acquired from an overhead perspective electromagnetic using radiation in one or more regions of the electromagnetic spectrum, reflec...

Example of Remote Sensing System The Human Visual System  deriving Practice of information about the earth’s land and water surfaces using images acquired from an overhead perspective electromagnetic using radiation in one or more regions of the electromagnetic spectrum, reflected or emitted from the earth’s surface. (James Campbell) This diagram of Earth’s energy budget shows incoming energy from the Sun and where that energy goes once it reaches the Earth system. -NASA GPM  DATA ACQUISITION INFORMATION EXTRACTION Based on the geographical, Domain of the physical and mathematical, statistical, biological, mathematical sciences physical and psychological sciences Illumination source emits EMR which varies based on their wavelengths  Is RS the best available method to acquire the information? Does the information required about the environment change with spatial position in that environment? Point observations? Interpolation Changing weather and other conditions Remotely-sensed data provides a permanent record of the whole area of interest at a point in time.  Is RS the best available method to acquire the information? Is the required information dependent on time? Information varies with time Collection at regular time intervals Change detection and mapping Remotely-sensed data provides derived information that is relatively consistent spatially and temporally, particularly if using similar sensors.  Is RS the best available method to acquire the information? Does the collection of required information either affect the resource being monitored, cause undue time delays, or create unacceptable admin or cost structures for data collection? Timeliness Remote sensing does not interfere with, or cause responses by, the resources being measured or observed.  Is RS the best available method to acquire the information? Can the required information be reliably extracted from image data? EMR-material interaction Clouds Night or day acquisition Remote sensing can provide information directly from data or through its relationship with other physical characteristics of the environment.  APPLICATIONS Topography, drainage, temperature, tectonic motion Urban & regional planning Natural resource inventories Monitoring environmental issues Agriculture (e.g. crop forecasting, precision farming) Geology, hydrologic studies Land cover benthic cover mapping Soil surveys (soil moisture) Military reconnaissance Atmospheric applications (precipitation, clouds, concentrations of gases, etc.) Ocean (temperature, color) Renewable energy assessment Others Remote Sensing Puerto Galera QuickBird Image: Blue band 0.45-0.52 um Puerto Galera QuickBird Image: Green band 0.52-0.60 um Puerto Galera QuickBird Image: Red band 0.63-0.69 um Puerto Galera QuickBird Image: NIR band 0.76-0.90 um Puerto Galera: True Color Composite QuickBird Image: R-G-B Puerto Galera: False Color Composite QuickBird Image: NIR-R-G Water Quality Mapping RADARSAT radar backscatter image of Mt. Pinatubo (February 1998) SPOT image of Mt. Pinatubo (December 1991) Comparison of NW Summit from SPOT data obtained between 1991 and 1998 Red shows vegetation, the ash deposits are light blue Summit is at lower right Changes in Mt. Pinatubo lahar deposits. Lower Pasig-Potrero River 1991 - 1996 Meteorology  Remote Sensing Applications Meteorology: Typhoon Tracking Super Typhoon ROSITA 2018/10/28 8:00 PST 2018/10/28 9:00 PST 2018/10/28 10:00 PST 8:00 PST 9:00 PST 10:00 PST 2018/10/29 8:00 PST 2018/10/30 8:00 PST 2018/10/31 8:00 PST https://www.eorc.jaxa.jp/ptree/index.html Disaster Management: Aftermath of Typhoon Yolanda 02/23/2012 11/10/2013 Disaster Management: Aftermath of Typhoon Yolanda 02/23/2012 11/10/2013 Disaster Management: Aftermath of Typhoon Yolanda 02/23/2012 11/10/2013 Renewable Energy Assessment Estimated Theoretical Solar PV Power (PPV) Potential, h = 17.47% Renewable Energy Assessment Theoretical mean seasonal solar PV power output for selected cities in the Asia Pacific region (h = 17.47%) Identifying Fishing Grounds in the Philippines using Earth Observation Data and Machine Learning Flood Extent Mapping Sulfur Dioxide Amount During Mt. Bulusan Eruption (2022) Sulfur Dioxide Amount Around Mt. Mayon  COPYRIGHT NOTICE This material has been reproduced and communicated to you by or on behalf of University of the Philippines pursuant to PART IV: The Law on Copyright of Republic Act (RA) 8293 or the “Intellectual Property Code of the Philippines”. The University does not authorize you to reproduce or communicate this material. The Material may contain works that are subject to copyright protection under RA 8293. Any reproduction and/or communication of the material by you may be subject to copyright infringement and the copyright owners have the right to take legal action against such infringement. Do not remove this notice.