2Project «multilevel system of Earth operational hyperspectral monitoring» The project on multilevel system of Earth operational hyperspectral monitoring is oriented towards development of regional system of operational hyperspectral monitoring of physicochemical conditions of natural and anthropogenic objects based on data obtained with hyperspectral sensors used in space, aviation and ground facilities in the interest of regional state authority and local government as well as in the interests of enterprises having different form of property to solve a wide range of socioeconomic and scientific tasks.
3Multilevel system of Earth operational hyperspectral monitoring FunctionSpaceGlobal observation of Earth surface using three type of equipmentsAviationOperative high-resolution hyperspectral imaging. Synchronous under spacecraft imaging for calibration and validation remote sensing data from Resurs-P spacecraftGroundProbe fence of soil and water, their analyzing, forming and updating database of etalons of relations «spectral coefficient of surface reflection – chemical composition»Detection of chemical compositionDatabase of spectral signatures
4Subproject of multilevel system of Earth operational hyperspectral monitoring Development and examination plane-laboratory equipped hyperspectral sensor (0,4 – 2,5 µm) and high-precision navigation equipment, attestation and certification it.Development of hyperspectraldata found.Development of system of stationary andmobile physical and chemical laboratories.Development of software of thematic processing Information, obtained fromthe hyperspectral monitoring system.Organization business structures for dissemination of remote sensing information.
5Space facilities of Monitoring Basic specifications of Resurs-P spacecraft equipmentHigh-resolution equipmentSwath, km(with altitude 475 km)Spectral ranges, m- panchromatic band ,58 – 0,8- narrow spectral bands 0,45 – 0,520,52 – 0,60,62 – 0,690,72 – 0,90,59 – 0,640,7 – 0,730,7 – 0,8Ground resolution in nadir, m(with altitude 475 km)- panchromatic band- narrow spectral bands – 4Wide-swath equipmentSwath, km /441Spectral ranges, m- panchromatic band ,43 – 0,7- narrow spectral bands ,43 – 0,510,51 – 0,580,60 – 0,700,70 – 0,900,80 – 0,90Ground resolution in nadir, m- panchromatic band /60- narrow spectral bands /120Hyperspectral equipmentSwath, kmSpectral range, m ,4 – 0.96Number of spectral bandsGround resolution in nadir, m
6Aviation facilities of Monitoring MAIN specification of «Rysachok» airplaneAviation hyper spectral imagerAisa FenixFeatureValuePayload (without taking pilot’s weight), kg470Range of cruising speed, km/hOperating altitude, mдо 6000Distance of flight, km1990Flight endurance, h7,5HSI specificationVNIRSWIRSpectral range, nmSpectral resolutions, nm3,510Spatial resolutions, m1,47(Н=1000 м)Number of spectral bands344275Swath, m580(H=1000 m)
7ground facilities of monitoring Database of spectral signaturesDetection of chemical compositionMobile physical and chemical laboratories
8Development of software of thematic processing information, obtained from the hyperspectral monitoring systemIdentification of objects on the specified spectral characteristicsHyperspectral imageSegmentation of objectsSpectral characteristicsof selected objectsDatabaseof etalonsof spectralcharacteristicsCOMPARIOSON OF SPECTRAL CHARACTERISTICSStep 1. Segmentation of objects in a hyperspectral image based on correlation spectral characteristicsStep 2. Determination of spectral characteristics for the selected segmentsStep 3. Comparison of the spectral characteristics of the selected segments with etalon spectral characteristics of the database based on determination of the spectral angleStep 4. Classification of objects and the formation objects mapvegetationroad surfacewater surfacerooftops
9Monitoring of waste oil pits using hypespectral information Classification content of waste oil pitsDifferent content of the pitsSpace imageRGB compositeaccording to the HSIIdentifying the boundaries of regions with different concentrations of pollutants
10Determination of pond’s depth with using methods of bathymetry Three-dimensional model of the pond, built with the help of echo sounder’s measurementsPond in area of Chubovka village(Samara region)Bathymetry map constructed by spectral characteristics of hyperspectral image
11Monitoring of landfills and solid waste using hyperspectral data RGB – compositeClassification resultLandfillContaminated waterSoilSandMetal roofDirt roadVegetation
12Targets of hyperspectral monitoring Hyperspectral information gives us opportunity to create thematic mapsand geo-information systems aimed to solve problems below: water quality monitoring in water basins and rivers, mechanic, chemical and biological contaminant evaluation; soil salinity classification; soil fertility and mineral composition evaluation; vegetation cover, agricultural and forest landscapes monitoring; narcotic plants identification; technogenic and natural dangerous substances emission and leakage monitoring, their consequences development forecasting; dumping sites detection, their content and size estimation.
13Forecast the North American market of hyperspectral information (million Dollars) * Remote sensing market in North America20092011201420172020Hyperspectral data195,5204,9214,4221,9229,4Multispectral data218,0233,0248,0258,5269,0Total:413,5437,9462,4480,4498,4* Expert’s forecast of the American Society for Photogrammetry and Remote Sensing Charles Mondello and George Hepner.
14The problem of mixing of the spectra ("mixed pixel"). The main problems in the sphere of hyperspectral information processingThe lack of highly qualified specialists in the field of processing and analysis of hyperspectral data;The elimination of the influence of atmospheric conditions (atmospheric correction);The absence of domestic spectral libraries of natural and man-made objects;Identification of receptor portions of the spectrum and determination of the optimal spectral intervals for specific tasks;The problem of mixing of the spectra ("mixed pixel").