CN101881829A - Ocean oil spill detection algorithm based on MODIS (Moderate Resolution Imaging Spectroradiometer) optical remote sensing data - Google Patents
Ocean oil spill detection algorithm based on MODIS (Moderate Resolution Imaging Spectroradiometer) optical remote sensing data Download PDFInfo
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- CN101881829A CN101881829A CN2009100836794A CN200910083679A CN101881829A CN 101881829 A CN101881829 A CN 101881829A CN 2009100836794 A CN2009100836794 A CN 2009100836794A CN 200910083679 A CN200910083679 A CN 200910083679A CN 101881829 A CN101881829 A CN 101881829A
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Abstract
The invention relates to an ocean oil spill detection method, in particular to an ocean oil spill detection algorithm based on MODIS (Moderate Resolution Imaging Spectroradiometer) optical remote sensing data. The algorithm comprises the following steps of: computing the spectrum synthetical values SI of the MODIS optical remote sensing data; then working out an ocean surface oil spill index SSOI, a suspended silt index SSI and a seawater purity index SWPI by applying the ocean oil spill detection algorithm based on the MODIS optical remote sensing data, and detecting ocean oil spill according to a judgment standard based on the result of the oil spill detection algorithm. The invention improves the accuracy and the precision of ocean oil spill detection.
Description
Technical field
The present invention relates to a kind of marine oil spill detection algorithm, particularly a kind of marine oil spill detection algorithm based on MODIS remote optical sensing data.
Technical background
The leakage of offshore oil platform blast, offshore oil exploitation and gas blowout accident and oil tanker be stranded in the navigation process, hit a submerged reef and marine oil spill accident that collision etc. causes, cause bulk petroleum to invade the ocean at short notice, bring serious pollution to the ocean, it has the occurrence frequency height, distribution area is wide, characteristics such as extent of injury height.The marine oil spill class is polluted has become one of important pollutant that influences the marine eco-environment.
Airborne remote sensing provides advanced technological means for marine oil spill detects.Can be used for the ETM data of Landsat satellite of MODIS data, middle high-resolution of the Terra of SeaWiFS data that visible spectral remote sensing satellite data source that offshore spilled oil detects mainly comprises the AVHRR data of NOAA satellite of low resolution and Seasat, intermediate resolution and Aqua satellite and the data such as HRV of SPOT satellite at present.
The AVHRR data are a kind of satellite datas that are widely used, and are mainly used in weather monitoring.AVHRR does not have the ocean passage, and spectral resolution is not high yet, and the marine environment detectability is lower.The emission of Seasat satellite has greatly improved the ability of ocean remote sensing, and the spectral resolution of SeaWiFS has bigger improvement than AVHRR, and many ocean users adopt the SeaWiFS data to carry out marine monitoring, but the spatial resolution of these data is still lower.Landsat, SPOT remote sensing satellite data have advantage on spatial resolution, be very beneficial for the accurate check and analysis of oil spilling.But the satellite repeated accesses cycle is long, be difficult in time the marine oil spill on any date is caught the tracking continuous with every day, and wave band is limited, spectral resolution also is difficult to distinguish effectively oil spilling district and non-oil spilling district, compare with other satellites of existing middle low resolution, the MODIS data of Terra and Aqua satellite, in the ability that has kept the AVHRR data, all done sizable improvement at aspects such as data wave hop count order and data range of application, data resolution, Data Receiving and data layout, satellite band number and data ranges of application.
MODIS is designed to 36 wave bands.It is 250 meters that 2 wave bands are arranged in 36 wave bands, and 5 wave bands are 500 meters, 1000 meters of all the other 29 wave bands.Make the MODIS data volume increase (be about as much as the AVHRR data volume same period about 18 times) significantly.MODIS data time resolution has superiority.Can pass by in one day 2 times, various sudden, fast-changing disasteies are had stronger real-time monitoring capability.Spectral resolution improves greatly.36 wave bands of MODIS have strengthened greatly to the observing capacity of earth complication system with to the recognition capability of face of land type.And ground receiving station every day or per two days can obtain the global observation data one time, in real time and dynamic monitoring good Data Source is provided.
Utilizing satellite remote sensing date to carry out marine oil spill detects, Chang Yong method is the artificial visual decomposition method the most, pass through expertise, expert judgments comes marine oil spill is detected, the false judgment that many human factors have caused marine oil spill to detect, and marine oil spill generally occurs under the environment atrocious weather condition, influenced the readability of data, this just makes that detecting marine oil spill by the artificial visual decomposition method exists very large uncertainty.Therefore need a kind of scientific methods to detect marine oil spill, for national correlation department provides decision support.
Summary of the invention
In order to overcome the deficiency that existing artificial visual decipher detects marine oil spill, the invention provides a kind of marine oil spill detection algorithm marine oil spill is detected, so that provide decision support for national correlation department based on MODIS remote optical sensing data.
Technical scheme of the present invention is: a kind of computing method that detect based on the marine oil spill of MODIS remote optical sensing data comprise the steps:
(1) calculate the spectrum integrated value SI of MODIS data according to formula S I=(b3-b1)/(b4-b1), wherein, b1, b3, b4 are the 1st, the 3rd, the 4th band spectrum value of MODIS
(2), obtain the discrepancy delta SOSS of the standard spectrum integrated value of oil spilling sea, standard marine site spectrum integrated value SSOS and this oil spilling sea, marine site spectrum integrated value and other water bodys respectively by MODIS remote optical sensing data are tested in a large number; The discrepancy delta SSS of the standard spectrum integrated value of standard marine site suspension bed sediment spectrum integrated value SSS and this marine site suspension bed sediment spectrum integrated value and other water bodys; The discrepancy delta SPW of the standard spectrum integrated value of standard marine site pure seawater spectrum integrated value SPW and this marine site pure seawater spectrum integrated value and other water bodys
(3) result who obtains based on (1), (2)
According to formula S SOI=EXP[-(SI-SOSS)
2/ 2 * Δ SOSS
2] calculate the offshore spilled oil index SSOI of MODIS data
According to formula S SI=EXP[-(SI-SSS)
2/ 2 * Δ SSS
2] calculate the suspension bed sediment index SSI of MODIS data
According to formula S WPI=EXP[-(SI-SPW)
2/ 2 * Δ SPW
2] calculate the seawater purity index SWPI of MODIS data;
(4) based on (3) step result of calculation,, judge whether to be marine oil spill according to criterion
The method that the application MODIS remote optical sensing data that the present invention proposes detect marine oil spill, utilize the spectral characteristic of MODIS, calculating by to marine oil spill index, suspension bed sediment index, seawater purity index detects marine oil spill through the criterion analysis.Than detecting oil spilling with artificial visual interpretation more fast, accurately.Eliminated artificial subjective factor.
Embodiment
Utilize the present invention that certain marine oil spill of marine site, prince wife Cao pasture, the Bohai Sea is detected.
Cao Feidian is positioned at the bigger marine site of the western depth of water, Bohai Sea Gulf, east longitude 118 ° of 30 ' 50 "～118 ° 59 ' 12 ", 38 ° 55 ' 11 of north latitude "～39 ° 10 ' 47 ".
It is that the American I TT Visual Information Solutions ENVI of company is as platform that following data processing is used.
1. data are prepared
What obtain in the embodiments of the invention is the MODIS optical satellite remote sensing images of the system-level correction of process, image in 23 days 0300 March in 2006 (UTM) constantly, east longitude 119 ° of 08 ' 50 "～119 ° 35 ' 12 ", 38 ° 26 ' 11 of north latitude "～39 ° 10 ' 47 ", spatial resolution is 500m.Select the 7th, the 2nd, the 1st wave band, synthetic false colored satellite image.
2. doubtful oil spilling zone is selected
According to (1) resulting result, the ROI that uses ENVI chooses doubtful oil spilling zone.
3.MODIS the marine oil spill detection algorithm of remote optical sensing data
(1) MODIS data light spectral synthesis value is calculated
MODIS data light spectral synthesis value computing formula is: SI=(b3-b1)/(b4-b1), wherein, b1, b3, b4 are the 1st, the 3rd, the 4th band spectrum value of MODIS.At first use the 1st, the 3rd, the 4th band spectrum value of the Stats statistics MODIS of ENVI software ROI Tool, use ENVI software band math result of calculation again and be:
SI＝(b3-b1)/(b4-b1)
＝(0.093337-0.051316)/(0.079541-0.051316)
＝3.125081
(2) marine oil spill Index for Calculation
MODIS data offshore spilled oil formula of index is: SSOI=EXP[-(SI-SOSS)
2/ 2 * Δ SOSS
2], wherein SI is a MODIS data light spectral synthesis value, SOSS is the standard oil spilling sea spectrum integrated value in this marine site, i.e. and the spectrum integrated value at oil spilling place, the Bohai Sea Gulf value is 3.Δ SOSS is the difference of the standard spectrum integrated value of this standard oil spilling sea, marine site spectrum integrated value and other water bodys, and this regional value is 1.Using ENVI software band math result of calculation is:
SSOI＝EXP[-(SI-SOSS)
2/2×ΔSOSS
2]
＝EXP[-(3.125081-3)
2/2×1
2]
＝EXP(-0.007822)
＝0.992209
(3) suspension bed sediment Index for Calculation
MODIS data offshore spilled oil formula of index is: SSI=EXP[-(SI-SSS)
2/ 2 * Δ SSS
2], wherein SI is a MODIS data light spectral synthesis value, and SSS is the standard suspension bed sediment spectrum integrated value in this marine site, and the spectrum integrated value of promptly typical suspension bed sediment seawater, Bohai Sea Gulf value are 12.Δ SSS is the difference of the standard spectrum integrated value of this marine site standard suspension bed sediment spectrum integrated value and other water bodys, and this regional value is 9.Using ENVI software band math result of calculation is:
SSI＝EXP[-(SI-SSS)
2/2×ΔSSS
2]
＝EXP[-(3.125081-12)
2/2×9
2]
＝EXP(-0.486198)
＝0.614960
(4) seawater purity Index for Calculation
MODIS data offshore spilled oil formula of index is: SWPI=EXP[-(SI-SPW)
2/ 2 * Δ SPW
2], wherein SI is a MODIS data light spectral synthesis value, SPW is the pure seawater spectrum of the standard in this a marine site integrated value, i.e. and the spectrum integrated value of pure seawater, the Bohai Sea Gulf value is 2.Δ SPW is the difference of the standard spectrum integrated value of this marine site standard pure seawater spectrum integrated value and other water bodys, and this regional value is 1.Using ENVI software band math result of calculation is:
SWPI＝EXP[-(SI-SPW)
2/2×ΔSPW
2]
＝EXP[-(3.125081-2)
2/2×1
2]
＝EXP(-0.632904)
＝0.531048
4. analysis result
Can obtain SSOI＞SSI＞SWPI by result of calculation, promptly the offshore spilled oil possibility suspends and clean sea water greater than silt, and offshore spilled oil index SSOI approaches 1.According to criterion, marine site, prince wife Cao pasture on the 23rd March in 2006, east longitude 119 ° of 08 ' 50 "～119 ° 35 ' 12 ", north latitude 38 ° 26 ' 11 "～39 ° 10 ' 47 " locate to take place oil spilling, are true to life.
Claims (1)
1. marine oil spill detection method based on MODIS remote optical sensing data, it is characterized in that, by calculating to the band spectrum value of MODIS remote optical sensing data, and calculate the marine oil spill index, suspension bed sediment exponential sum seawater purity index detects marine oil spill, described marine oil spill detection method comprises the steps:
(1) calculate the spectrum integrated value SI of MODIS data according to formula S I=(b3-b1)/(b4-b1), wherein, b1, b3, b4 are the 1st, the 3rd, the 4th band spectrum value of MODIS
(2) by being tested respectively in a large number, MODIS remote optical sensing data obtain:
The discrepancy delta SOSS of the standard spectrum integrated value of oil spilling sea, standard marine site spectrum integrated value SSOS and this oil spilling sea, marine site spectrum integrated value and other water bodys
The discrepancy delta SSS of the standard spectrum integrated value of standard marine site suspension bed sediment spectrum integrated value SSS and this marine site suspension bed sediment spectrum integrated value and other water bodys
The discrepancy delta SPW of the standard spectrum integrated value of standard marine site pure seawater spectrum integrated value SPW and this marine site pure seawater spectrum integrated value and other water bodys
(3) based on (1), (2) result of calculation,
According to formula S SOI=EXP[-(SI-SOSS)
2/ 2 * Δ SOSS
2] calculate the offshore spilled oil index SSOI of MODIS data
According to formula S SI=EXP[-(SI-SSS)
2/ 2 * Δ SSS
2] calculate the suspension bed sediment index SSI of MODIS data
According to formula S WPI=EXP[-(SI-SPW)
2/ 2 * Δ SPW
2] calculate the seawater purity index SWPI of MODIS data;
(4) based on (3) step result of calculation, according to criterion, judge whether to be marine oil spill, thereby reach detection marine oil spill.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073792A (en) * | 2011-01-19 | 2011-05-25 | 安徽师范大学 | Method for performing inversion on optical property of aerosol of coastal zone by using MODIS image |
| CN102507474A (en) * | 2011-10-28 | 2012-06-20 | 大连海事大学 | Method and system for identifying oil spilling target of ship |
| CN102609600A (en) * | 2011-01-19 | 2012-07-25 | 中国科学院地理科学与资源研究所 | Spilled oil detecting algorithm based on MODIS (moderate resolution imaging spectroradiometer) time sequence standard deviations |
| CN102721652A (en) * | 2012-06-18 | 2012-10-10 | 中国科学院地理科学与资源研究所 | High-reflectivity marine oil spill detection method based on optical remote sensing data of MODIS (moderate resolution imaging spectrometer) |
| CN106769882A (en) * | 2016-11-01 | 2017-05-31 | 深圳先进技术研究院 | Spilled oil monitoring instrument and its monitoring method |
| CN107436286A (en) * | 2017-06-29 | 2017-12-05 | 华中光电技术研究所（中国船舶重工集团公司第七七研究所） | A kind of oil spilling detection system and oil spilling method for early warning |
-
2009
- 2009-05-08 CN CN2009100836794A patent/CN101881829A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073792A (en) * | 2011-01-19 | 2011-05-25 | 安徽师范大学 | Method for performing inversion on optical property of aerosol of coastal zone by using MODIS image |
| CN102609600A (en) * | 2011-01-19 | 2012-07-25 | 中国科学院地理科学与资源研究所 | Spilled oil detecting algorithm based on MODIS (moderate resolution imaging spectroradiometer) time sequence standard deviations |
| CN102507474A (en) * | 2011-10-28 | 2012-06-20 | 大连海事大学 | Method and system for identifying oil spilling target of ship |
| CN102721652A (en) * | 2012-06-18 | 2012-10-10 | 中国科学院地理科学与资源研究所 | High-reflectivity marine oil spill detection method based on optical remote sensing data of MODIS (moderate resolution imaging spectrometer) |
| CN106769882A (en) * | 2016-11-01 | 2017-05-31 | 深圳先进技术研究院 | Spilled oil monitoring instrument and its monitoring method |
| CN106769882B (en) * | 2016-11-01 | 2021-12-03 | 深圳先进技术研究院 | Oil spilling monitor and monitoring method thereof |
| CN107436286A (en) * | 2017-06-29 | 2017-12-05 | 华中光电技术研究所（中国船舶重工集团公司第七七研究所） | A kind of oil spilling detection system and oil spilling method for early warning |
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Application publication date: 20101110 |