Cheng Jing, Yang Yu, Xiaofeng Yang, W. Ma, Di Dong, Ziwei Li
Global Navigation Satellite System can not only positioning but also emit microwaves of L band to the earth surface. With the reflection signals, we can obtain information about the sea surface. The Delay Doppler Map calculated from the received power recently play a key role in building relationships with the sea surface parameters. In this paper, the basics of Delay-Doppler Map are introduced and conducted by employing a set of new released TechDemoSat-1 GNSS-R data. In addition, sea surface parameters retrieved by using Delay-Doppler Maps are presented as a prospect.
{"title":"Studies on delay-Doppler mapping of GNSS-R signals","authors":"Cheng Jing, Yang Yu, Xiaofeng Yang, W. Ma, Di Dong, Ziwei Li","doi":"10.1117/12.2204729","DOIUrl":"https://doi.org/10.1117/12.2204729","url":null,"abstract":"Global Navigation Satellite System can not only positioning but also emit microwaves of L band to the earth surface. With the reflection signals, we can obtain information about the sea surface. The Delay Doppler Map calculated from the received power recently play a key role in building relationships with the sea surface parameters. In this paper, the basics of Delay-Doppler Map are introduced and conducted by employing a set of new released TechDemoSat-1 GNSS-R data. In addition, sea surface parameters retrieved by using Delay-Doppler Maps are presented as a prospect.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wavelet transform is a kind of effective image-scale transformation method, which can achieve multi-scale transformation by distinguishing the low-frequency information and the high-frequency information. Hyperspectral remote sensing data combining image with spectrum has almost continuous spectrum that is the important premise of extracting hyperspectral image information, while scale transformation will inevitably lead to the change of image and spectra. Therefore, it is important to study the image and spectral fidelity after wavelet transform. In this paper, the Proba CHRIS hyperspectral remote sensing image of Yellow River Estuary Wetland is used to investigate the image and spectral fidelity of image transformed by wavelet which remained the low-frequency information. The level 1-3 of up-scale images are obtained and then compared with the original. Then image and spectral fidelity is quantitatively analyzed. The results show that the image fidelity is slightly reduced by up-scale transformation, but near-infrared images have a larger distortion than other bands. With the increasing scaling up, the distortion of spectrum is more and more great, but spectral fidelity is overall well. For the typical wetland objects, Phragmites austrialis has the best spectral correlation, Spartina has a small spectra change, and aquaculture water spectral distortion is most remarkable.
{"title":"Image and spectral fidelity study of hyperspectral remote sensing image scaling up based on wavelet transform","authors":"Ni An, Yi Ma, Y. Bao","doi":"10.1117/12.2204853","DOIUrl":"https://doi.org/10.1117/12.2204853","url":null,"abstract":"Wavelet transform is a kind of effective image-scale transformation method, which can achieve multi-scale transformation by distinguishing the low-frequency information and the high-frequency information. Hyperspectral remote sensing data combining image with spectrum has almost continuous spectrum that is the important premise of extracting hyperspectral image information, while scale transformation will inevitably lead to the change of image and spectra. Therefore, it is important to study the image and spectral fidelity after wavelet transform. In this paper, the Proba CHRIS hyperspectral remote sensing image of Yellow River Estuary Wetland is used to investigate the image and spectral fidelity of image transformed by wavelet which remained the low-frequency information. The level 1-3 of up-scale images are obtained and then compared with the original. Then image and spectral fidelity is quantitatively analyzed. The results show that the image fidelity is slightly reduced by up-scale transformation, but near-infrared images have a larger distortion than other bands. With the increasing scaling up, the distortion of spectrum is more and more great, but spectral fidelity is overall well. For the typical wetland objects, Phragmites austrialis has the best spectral correlation, Spartina has a small spectra change, and aquaculture water spectral distortion is most remarkable.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116900662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaowei Tong, Boqin Zhu, Hua-yang Gan, Z. Xia, Kelin Wang, Y. Yue, Ru Li
The study investigated wetland change in Wanning. For this purpose, three high resolution SPOT images recorded in 2002, 2007 and 2013, respectively, were classified. The results indicated that there were little change in wetland types during 2002 and 2013. The coastal waters, culture pond and river were the main wetland types. The natural wetland trended to decline. The ditch had the largest net increase and the reservoir shrank the most. There was a dramatic increase of culture pond plaques, which making the landscape more fragmentized. The coastal waters and the land had a lot change with other wetland types. The area change in Wanning was mainly composed of the transition between the land and culture pond.
{"title":"Wetland change in Wangning during 2002 and 2013","authors":"Xiaowei Tong, Boqin Zhu, Hua-yang Gan, Z. Xia, Kelin Wang, Y. Yue, Ru Li","doi":"10.1117/12.2204941","DOIUrl":"https://doi.org/10.1117/12.2204941","url":null,"abstract":"The study investigated wetland change in Wanning. For this purpose, three high resolution SPOT images recorded in 2002, 2007 and 2013, respectively, were classified. The results indicated that there were little change in wetland types during 2002 and 2013. The coastal waters, culture pond and river were the main wetland types. The natural wetland trended to decline. The ditch had the largest net increase and the reservoir shrank the most. There was a dramatic increase of culture pond plaques, which making the landscape more fragmentized. The coastal waters and the land had a lot change with other wetland types. The area change in Wanning was mainly composed of the transition between the land and culture pond.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132023755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. L. Chen, J. Wu, L. Guo, X. Wang, H. Tan, C. Y. Shen
Conventional D-InSAR (Differential SAR Interferometry) can only monitor 1-D surface deformation along LOS (line of sight) direction. In order to overcome this limitation and extract 3-D coseismic displacement, we combine the LOS displacement derived from D-InSAR technology, the OKADA elastic half space dislocation model theory, jointly the surface rupture distribution by field investigations and the fault model inverted by GPS, level data and gravity survey to retrieve the directions of surface co-seismic displacement, and then have got Wenchuan Ms8.0 Earthquake 3D displacement. Firstly, thirty six L-band PALSAR images of six adjacent ascending tracks are processed with D-InSAR technology to obtain the coseismic displacements along LOS direction. According to the OKADA model and the thrust fault movement model of the Long-Men-Shan Fault , we specify the three directions of surface coseismic displacements. And thus the 3D coseismic displacement field is then recovered by using LOS displacement and relevant geometric projection formulas, obviously including horizontal displacements field and vertical deformation contour maps. By comparing with the 3D displacement estimated from OKADA dislocation model and fault model, the displacement retrieved in this study can give more detail, and reflect seismic characteristics more truly.
{"title":"3D coseismic deformation inversion of Wenchuan Ms8.0 earthquake with D-InSAR and the fault movement model","authors":"Y. L. Chen, J. Wu, L. Guo, X. Wang, H. Tan, C. Y. Shen","doi":"10.1117/12.2205112","DOIUrl":"https://doi.org/10.1117/12.2205112","url":null,"abstract":"Conventional D-InSAR (Differential SAR Interferometry) can only monitor 1-D surface deformation along LOS (line of sight) direction. In order to overcome this limitation and extract 3-D coseismic displacement, we combine the LOS displacement derived from D-InSAR technology, the OKADA elastic half space dislocation model theory, jointly the surface rupture distribution by field investigations and the fault model inverted by GPS, level data and gravity survey to retrieve the directions of surface co-seismic displacement, and then have got Wenchuan Ms8.0 Earthquake 3D displacement. Firstly, thirty six L-band PALSAR images of six adjacent ascending tracks are processed with D-InSAR technology to obtain the coseismic displacements along LOS direction. According to the OKADA model and the thrust fault movement model of the Long-Men-Shan Fault , we specify the three directions of surface coseismic displacements. And thus the 3D coseismic displacement field is then recovered by using LOS displacement and relevant geometric projection formulas, obviously including horizontal displacements field and vertical deformation contour maps. By comparing with the 3D displacement estimated from OKADA dislocation model and fault model, the displacement retrieved in this study can give more detail, and reflect seismic characteristics more truly.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Qu, J. X. Lu, T. T. Zhang, Y. Tan, W. Song, Z. Pang
The Tropical Rainfall Measuring Mission (TRMM) satellite rainfall data were assessed and calibrated using limited ground meteorological and hydrological data in Irrawaddy River basin, a watershed with complex terrain conditions but lack of data. A correction factor was determined to adjust TRMM data, taking basin water balance and terrain slopes into consideration. A distributed hydrological model SWAT was established and used to simulate the basin rainfall-runoff processes from 2001 to 2011, driven by the calibrated TRMM rainfall data series. Results show that, in a data scarce basin like Irrawaddy River basin, such a water balanced based TRMM data calibration method is suitable and reliable.
{"title":"Calibration and application of TRMM precipitation data in Irrawaddy River Basin","authors":"W. Qu, J. X. Lu, T. T. Zhang, Y. Tan, W. Song, Z. Pang","doi":"10.1117/12.2204793","DOIUrl":"https://doi.org/10.1117/12.2204793","url":null,"abstract":"The Tropical Rainfall Measuring Mission (TRMM) satellite rainfall data were assessed and calibrated using limited ground meteorological and hydrological data in Irrawaddy River basin, a watershed with complex terrain conditions but lack of data. A correction factor was determined to adjust TRMM data, taking basin water balance and terrain slopes into consideration. A distributed hydrological model SWAT was established and used to simulate the basin rainfall-runoff processes from 2001 to 2011, driven by the calibrated TRMM rainfall data series. Results show that, in a data scarce basin like Irrawaddy River basin, such a water balanced based TRMM data calibration method is suitable and reliable.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The high spatial heterogeneity forms a major uncertainty in accurately monitoring of vegetation coverage. In this study, an optimal zoning approach with dividing the whole heterogeneous image into relatively homogeneously segments was proposed to reduce the effects of high heterogeneity on vegetation coverage estimation. With the combination of the spectral similarity of the adjacent pixels and spatial autocorrelation of the segments, the optimal zoning approach accounted for the intrasegment uniformity and intersegment disparity of improved image segmentation. In comparison, vegetation coverage in the highly heterogeneous karst environments tended to be underestimated by the normalized difference vegetation index (NDVI) and overestimated by the normalized difference vegetation index-spectral mixture analysis (NDVI-SMA) model. Hence, when applying remote sensing for highly heterogeneous environments, the influence of high heterogeneity should not be ignored. Our study indicates that the proposed model, using NDVI-SMA model with improved segmentation, is found to ameliorate the effects of the highly heterogeneous environments on the extraction of vegetation coverage from hyperspectral imagery. The proposed approach is useful for obtaining accurate estimations of vegetation coverage in not only karst environments but also other environments with high heterogeneity.
{"title":"Improvement of remotely sensed vegetation coverage in heterogeneous environments with an optimal zoning approach","authors":"Ru Li, Y. Yue","doi":"10.1117/12.2204959","DOIUrl":"https://doi.org/10.1117/12.2204959","url":null,"abstract":"The high spatial heterogeneity forms a major uncertainty in accurately monitoring of vegetation coverage. In this study, an optimal zoning approach with dividing the whole heterogeneous image into relatively homogeneously segments was proposed to reduce the effects of high heterogeneity on vegetation coverage estimation. With the combination of the spectral similarity of the adjacent pixels and spatial autocorrelation of the segments, the optimal zoning approach accounted for the intrasegment uniformity and intersegment disparity of improved image segmentation. In comparison, vegetation coverage in the highly heterogeneous karst environments tended to be underestimated by the normalized difference vegetation index (NDVI) and overestimated by the normalized difference vegetation index-spectral mixture analysis (NDVI-SMA) model. Hence, when applying remote sensing for highly heterogeneous environments, the influence of high heterogeneity should not be ignored. Our study indicates that the proposed model, using NDVI-SMA model with improved segmentation, is found to ameliorate the effects of the highly heterogeneous environments on the extraction of vegetation coverage from hyperspectral imagery. The proposed approach is useful for obtaining accurate estimations of vegetation coverage in not only karst environments but also other environments with high heterogeneity.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129119784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hailiang Gao, X. Gu, Tao Yu, Huaying He, Lingya Zhu, Feng Wang
Hyper Spectral Imager (HSI) is the first Chinese space-borne hyperspectral sensor aboard the HJ-1A satellite. We have developed a data preprocess flow for HSI images, which includes destriping, atmospheric correction and spectral filtering. In this paper, the product level of HSI image was introduced in the beginning, and a destriping method for HSI level 2 images was proposed. Then an atmospheric correction method based on radiative transfer mechanism was summarized to retrieve ground reflectance from HSI image. Furthermore, a new spectral filter method for ground reflectance spectra after atmospheric correction was proposed based on reference ground spectral database. Lastly, a HSI image acquired over Lake Dali in Inner Mongolia was used to evaluate the effect of the preprocess method. The HSI image after destriping was compared with the original HSI image, which shows that the stripe noise has been removed effectively. Both un-smoothed reflectance spectra and smoothed spectra using the preprocess method proposed in this paper are compared with the reflectance spectral derived with the well-known FLAASH method. The results show that the spectra become much smoother after the application of the spectral filtered algorithm. It was also found that the spectra using this new preprocessing method have similar results as that of the FLAASH method.
{"title":"Study of data preprocess for HJ-1A satellite HSI image","authors":"Hailiang Gao, X. Gu, Tao Yu, Huaying He, Lingya Zhu, Feng Wang","doi":"10.1117/12.2204891","DOIUrl":"https://doi.org/10.1117/12.2204891","url":null,"abstract":"Hyper Spectral Imager (HSI) is the first Chinese space-borne hyperspectral sensor aboard the HJ-1A satellite. We have developed a data preprocess flow for HSI images, which includes destriping, atmospheric correction and spectral filtering. In this paper, the product level of HSI image was introduced in the beginning, and a destriping method for HSI level 2 images was proposed. Then an atmospheric correction method based on radiative transfer mechanism was summarized to retrieve ground reflectance from HSI image. Furthermore, a new spectral filter method for ground reflectance spectra after atmospheric correction was proposed based on reference ground spectral database. Lastly, a HSI image acquired over Lake Dali in Inner Mongolia was used to evaluate the effect of the preprocess method. The HSI image after destriping was compared with the original HSI image, which shows that the stripe noise has been removed effectively. Both un-smoothed reflectance spectra and smoothed spectra using the preprocess method proposed in this paper are compared with the reflectance spectral derived with the well-known FLAASH method. The results show that the spectra become much smoother after the application of the spectral filtered algorithm. It was also found that the spectra using this new preprocessing method have similar results as that of the FLAASH method.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126289455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of using unmanned aerial vehicle (UAV) remote sensing application in Five-hundred-meter aperture spherical telescope (FAST) project is to dynamically record the construction process with high resolution image, monitor the environmental impact, and provide services for local environmental protection and the reserve immigrants. This paper introduces the use of UAV remote sensing system and the course design and implementation for the FAST site. Through the analysis of the time series data, we found that: (1) since the year 2012, the project has been widely carried out; (2) till 2013, the internal project begun to take shape;(3) engineering excavation scope was kept stable in 2014, and the initial scale of the FAST engineering construction has emerged as in the meantime, the vegetation recovery went well on the bare soil area; (4) in 2015, none environmental problems caused by engineering construction and other engineering geological disaster were found in the work area through the image interpretation of UAV images. This paper also suggested that the UAV technology need some improvements to fulfill the requirements of surveying and mapping specification., including a new data acquisition and processing measures assigned with the background of highly diverse elevation, usage of telephoto camera, hierarchical photography with different flying height, and adjustment with terrain using the joint empty three settlement method.
{"title":"The application of the unmanned aerial vehicle remote sensing technology in the FAST project construction","authors":"Boqin Zhu","doi":"10.1117/12.2204935","DOIUrl":"https://doi.org/10.1117/12.2204935","url":null,"abstract":"The purpose of using unmanned aerial vehicle (UAV) remote sensing application in Five-hundred-meter aperture spherical telescope (FAST) project is to dynamically record the construction process with high resolution image, monitor the environmental impact, and provide services for local environmental protection and the reserve immigrants. This paper introduces the use of UAV remote sensing system and the course design and implementation for the FAST site. Through the analysis of the time series data, we found that: (1) since the year 2012, the project has been widely carried out; (2) till 2013, the internal project begun to take shape;(3) engineering excavation scope was kept stable in 2014, and the initial scale of the FAST engineering construction has emerged as in the meantime, the vegetation recovery went well on the bare soil area; (4) in 2015, none environmental problems caused by engineering construction and other engineering geological disaster were found in the work area through the image interpretation of UAV images. This paper also suggested that the UAV technology need some improvements to fulfill the requirements of surveying and mapping specification., including a new data acquisition and processing measures assigned with the background of highly diverse elevation, usage of telephoto camera, hierarchical photography with different flying height, and adjustment with terrain using the joint empty three settlement method.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126083665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The intercalibration of the two thermal infrared channels of SVISSR/FY-2 with AIRS/Aqua is developed by using an improved HSC (High Spectral Convolution) method. The improvement of HSC includes two aspects: sub-pixel spatial matching and automatic removing coarse errors of the measurement pairs. According to the viewing geometries of SVISSR/FY-2 and AIRS/Aqua, a study area with the longitude from 41.5°E to 149.5°E and the latitude from 10°S to 10°N is especially selected. To transfer the calibration coefficients from AIRS/Aqua to SVISSR/FY-2, the SVISSR/FY-2 Normalized (NOM) 1B dataset and the AIRS/Aqua 1B infrared data in the months of December 2006, September 2007, December 2007, September 2009 and May 2010 covering the study area are employed and are aggregated into the study area with the spatial resolution of 0.5°×0.5°. The measurement pairs are extracted from the aggregated SVISSR/FY-2 and AIRS/Aqua images under the following conditions: co-location, absolute solar zenith angle difference in the same day less than 2° (|▵SZA|<2°), absolute viewing zenith angle differences less than 3° (|ΔVZA|<3°), and absolute relative azimuth angle differences less than 6° (|▵RAA|<6°). The intercalibration results show that the SVISSR/FY-2 measurements are well linearly correlated with the convolved AIRS/Aqua data. On contrast to AIRS/Aqua channels, the calibration biases exist in two SVISSR/FY-2 thermal infrared channels, and the re-calibration coefficients are presented.
{"title":"Intercalibration of SVISSR/FY-2 thermal infrared channels with AIRS/Aqua channels","authors":"Geng-Ming Jiang, Yaqiu Jin","doi":"10.1117/12.910392","DOIUrl":"https://doi.org/10.1117/12.910392","url":null,"abstract":"The intercalibration of the two thermal infrared channels of SVISSR/FY-2 with AIRS/Aqua is developed by using an improved HSC (High Spectral Convolution) method. The improvement of HSC includes two aspects: sub-pixel spatial matching and automatic removing coarse errors of the measurement pairs. According to the viewing geometries of SVISSR/FY-2 and AIRS/Aqua, a study area with the longitude from 41.5°E to 149.5°E and the latitude from 10°S to 10°N is especially selected. To transfer the calibration coefficients from AIRS/Aqua to SVISSR/FY-2, the SVISSR/FY-2 Normalized (NOM) 1B dataset and the AIRS/Aqua 1B infrared data in the months of December 2006, September 2007, December 2007, September 2009 and May 2010 covering the study area are employed and are aggregated into the study area with the spatial resolution of 0.5°×0.5°. The measurement pairs are extracted from the aggregated SVISSR/FY-2 and AIRS/Aqua images under the following conditions: co-location, absolute solar zenith angle difference in the same day less than 2° (|▵SZA|<2°), absolute viewing zenith angle differences less than 3° (|ΔVZA|<3°), and absolute relative azimuth angle differences less than 6° (|▵RAA|<6°). The intercalibration results show that the SVISSR/FY-2 measurements are well linearly correlated with the convolved AIRS/Aqua data. On contrast to AIRS/Aqua channels, the calibration biases exist in two SVISSR/FY-2 thermal infrared channels, and the re-calibration coefficients are presented.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"87 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114134836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Signal to noise ratio (SNR) is of great significance to the satellite remote sensing system dedicated to the monitoring of lake water color. The technical requisites were set in this paper taking reference to the Sea-viewing Wide Field-of-View Sensor (SeaWiFS), which was aboard on the SeaStar. We simulated radiative transfer process from water-leaving radiance to apparent radiance on the top of atmosphere using 6S model, and calculated SNR based on the Equivalent Electron Theory. Our results showed that SNR in bands less than 500 nm was too low to meet the demand. Time Delay Integration (TDI) was essential in these bands. However, in bands greater than 500 nm, the SNR was higher enough (greater than 400), indicating there was still much potential to improve the spatial or spectral resolution in these bands.
{"title":"Signal to noise ratio simulation of lake water color monitoring oriented satellite remote sensing system","authors":"Jia Tian, Bin Peng, Jing Wang, Xiang Li","doi":"10.1117/12.910369","DOIUrl":"https://doi.org/10.1117/12.910369","url":null,"abstract":"Signal to noise ratio (SNR) is of great significance to the satellite remote sensing system dedicated to the monitoring of lake water color. The technical requisites were set in this paper taking reference to the Sea-viewing Wide Field-of-View Sensor (SeaWiFS), which was aboard on the SeaStar. We simulated radiative transfer process from water-leaving radiance to apparent radiance on the top of atmosphere using 6S model, and calculated SNR based on the Equivalent Electron Theory. Our results showed that SNR in bands less than 500 nm was too low to meet the demand. Time Delay Integration (TDI) was essential in these bands. However, in bands greater than 500 nm, the SNR was higher enough (greater than 400), indicating there was still much potential to improve the spatial or spectral resolution in these bands.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114410117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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