Pub Date : 2013-06-27DOI: 10.1109/IGARSS.2010.5649173
W. Heaps
In recent years, lasers have proven themselves to be invaluable to a variety of remote sensing applications. LIDAR techniques have been used to measure atmospheric aerosols and a variety of trace species, profile winds, and develop high resolution topographical maps. Often it would be of great advantage to make these measurements from an orbiting satellite. Unfortunately, the space environment is a challenging one for the high power lasers that would enable many LIDAR missions. Optical mounts must maintain precision alignment during and after launch. Outgassing materials in the vacuum of space lead to contamination of laser optics. Electronic components and optical materials must survive the space environment, including a vacuum atmosphere, thermal cycling, and radiation exposure. Laser designs must be lightweight, compact, and energy efficient. Many LIDAR applications require frequency conversion systems that have never been designed or tested for use in space. For the last seven or eight years the National Aeronautical and Space Administration (NASA) has undertaken a program specifically directed at addressing the durability and long term reliability issues that face space-borne lasers (The Laser Risk Reduction Program-LRRP).
{"title":"One micron laser technology advancements at GSFC","authors":"W. Heaps","doi":"10.1109/IGARSS.2010.5649173","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649173","url":null,"abstract":"In recent years, lasers have proven themselves to be invaluable to a variety of remote sensing applications. LIDAR techniques have been used to measure atmospheric aerosols and a variety of trace species, profile winds, and develop high resolution topographical maps. Often it would be of great advantage to make these measurements from an orbiting satellite. Unfortunately, the space environment is a challenging one for the high power lasers that would enable many LIDAR missions. Optical mounts must maintain precision alignment during and after launch. Outgassing materials in the vacuum of space lead to contamination of laser optics. Electronic components and optical materials must survive the space environment, including a vacuum atmosphere, thermal cycling, and radiation exposure. Laser designs must be lightweight, compact, and energy efficient. Many LIDAR applications require frequency conversion systems that have never been designed or tested for use in space. For the last seven or eight years the National Aeronautical and Space Administration (NASA) has undertaken a program specifically directed at addressing the durability and long term reliability issues that face space-borne lasers (The Laser Risk Reduction Program-LRRP).","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243577","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}
Pub Date : 2010-12-03DOI: 10.1109/IGARSS.2010.5650415
D. Long, E. Zaugg, M. Edwards, J. Maslanik
During the summer of 2009, the Characterization of Arctic Sea Ice Experiment 2009 (CASIE-09) operated a small, unmanned aircraft system (UAS) over the Arctic Ocean for a number of long-distance flights from Svalbard Island. In addition to other instruments, the UAS carried a small C-band synthetic aperture radar (SAR) known as MicroASAR to image sea ice roughness at 1 m resolution. This paper briefly describes the SAR, its role in CASIE-09, and presents sample SAR image results.
{"title":"The microasar experiment on CASIE-09","authors":"D. Long, E. Zaugg, M. Edwards, J. Maslanik","doi":"10.1109/IGARSS.2010.5650415","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650415","url":null,"abstract":"During the summer of 2009, the Characterization of Arctic Sea Ice Experiment 2009 (CASIE-09) operated a small, unmanned aircraft system (UAS) over the Arctic Ocean for a number of long-distance flights from Svalbard Island. In addition to other instruments, the UAS carried a small C-band synthetic aperture radar (SAR) known as MicroASAR to image sea ice roughness at 1 m resolution. This paper briefly describes the SAR, its role in CASIE-09, and presents sample SAR image results.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126424437","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}
Pub Date : 2010-12-03DOI: 10.1109/IGARSS.2010.5648851
C. McPherson, J. Reagan, C. Hostetler, J. Hair, R. Ferrare
The Constrained Ratio Aerosol Model-fit (CRAM) technique is a method for making aerosol retrievals from dual-wavelength elastic scatter lidars which attempts to constrain the retrievals so as to be consistent with a number of aerosol models thought to characterize a variety of aerosol types observed around the world. The NASA Langley Research Center Airborne HSRL is an airborne high spectral resolution lidar capable of direct measurements of aerosol extinction and backscatter at 532 nm and having the capability for elastic backscatter measurements at 1064 nm. Aerosol measurements by HSRL during the TEXas Air Quality Survey/ Gulf of Mexico Atmospheric Composition and Climate Study (TEXAQS/GoMACCS) campaign are used to validate existing aerosol models critical to the application of CRAM, in particular to data from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) lidar instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite.
{"title":"Progress in the validation of dual-wavelength aerosol retrieval models via airborne high spectral resolution lidar data","authors":"C. McPherson, J. Reagan, C. Hostetler, J. Hair, R. Ferrare","doi":"10.1109/IGARSS.2010.5648851","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5648851","url":null,"abstract":"The Constrained Ratio Aerosol Model-fit (CRAM) technique is a method for making aerosol retrievals from dual-wavelength elastic scatter lidars which attempts to constrain the retrievals so as to be consistent with a number of aerosol models thought to characterize a variety of aerosol types observed around the world. The NASA Langley Research Center Airborne HSRL is an airborne high spectral resolution lidar capable of direct measurements of aerosol extinction and backscatter at 532 nm and having the capability for elastic backscatter measurements at 1064 nm. Aerosol measurements by HSRL during the TEXas Air Quality Survey/ Gulf of Mexico Atmospheric Composition and Climate Study (TEXAQS/GoMACCS) campaign are used to validate existing aerosol models critical to the application of CRAM, in particular to data from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) lidar instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117186044","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}
Pub Date : 2010-12-03DOI: 10.1109/IGARSS.2010.5652919
N. Yokoya, N. Miyamura, A. Iwasaki
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of the spectra and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem is used as an example. An image registration method using normalized cross-correlation for characteristic lines in spectrum image demonstrates its effectiveness for detection of the spectral and spatial misregistrations. Cubic spline interpolation using estimated properties makes it possible to modify the spectral signatures. The accuracy of the proposed postlaunch estimation of the Hyperion properties has been proven to be comparable to that of the prelaunch measurements, which enables the precise onboard calibration of hyperspectral sensors.
{"title":"Detection and correction of spectral and spatial misregistrations for hyperspectral data","authors":"N. Yokoya, N. Miyamura, A. Iwasaki","doi":"10.1109/IGARSS.2010.5652919","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652919","url":null,"abstract":"Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of the spectra and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem is used as an example. An image registration method using normalized cross-correlation for characteristic lines in spectrum image demonstrates its effectiveness for detection of the spectral and spatial misregistrations. Cubic spline interpolation using estimated properties makes it possible to modify the spectral signatures. The accuracy of the proposed postlaunch estimation of the Hyperion properties has been proven to be comparable to that of the prelaunch measurements, which enables the precise onboard calibration of hyperspectral sensors.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746649","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}
Pub Date : 2010-12-03DOI: 10.1109/IGARSS.2010.5651642
Jinyang Du, Jiancheng Shi, C. Xiong
Active microwave sensors, especially high-frequency radar systems, are highly sensitive to snow pack parameters, including Snow Water Equivalent (SWE). With the availability of several X-band space-borne SAR systems, the study attempts to make use of multiple-angle SAR observations and develop relevant SWE inversion algorithms. Analysis was carried out based on parameterized scattering models for both soil surface and snowpack. It is found that the backscattering signals at two incident angles are well correlated for both soil surface and snowpack; and snow optical thickness can be well defined and estimated through snow volume scattering at two different angles. The snow and soil parameters can be estimated through two pairs of adjacent observations. The technique was tested using theoretical simulated database. Initial analysis shows that current technique needs to be further improved and a better estimation of single scattering albedo is needed.
{"title":"A method to estimate Snow Water Equivalent using multi-angle X-band radar observations","authors":"Jinyang Du, Jiancheng Shi, C. Xiong","doi":"10.1109/IGARSS.2010.5651642","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651642","url":null,"abstract":"Active microwave sensors, especially high-frequency radar systems, are highly sensitive to snow pack parameters, including Snow Water Equivalent (SWE). With the availability of several X-band space-borne SAR systems, the study attempts to make use of multiple-angle SAR observations and develop relevant SWE inversion algorithms. Analysis was carried out based on parameterized scattering models for both soil surface and snowpack. It is found that the backscattering signals at two incident angles are well correlated for both soil surface and snowpack; and snow optical thickness can be well defined and estimated through snow volume scattering at two different angles. The snow and soil parameters can be estimated through two pairs of adjacent observations. The technique was tested using theoretical simulated database. Initial analysis shows that current technique needs to be further improved and a better estimation of single scattering albedo is needed.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031548","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650965
Ammar Al Muhairi, H. Ghedira, H. Al-Ahmad, A. Dawood
Today, various processes of seawater desalination are used to satisfy the increasing demand of fresh water. Desalination plants treat the seawater pumped from their intakes and discharge the generated waste back to the sea through their outfalls. The discharged waste, also called brine, has a high salinity level, high temperature and high concentration of other suspended matters which may cause negative environmental effects on the water quality surrounding the discharge point. In this paper, medium and high resolution satellite data collected by MODIS and DubaiSat-1 (DS-1), respectively, were used to derive average digital value and its spatial variability surrounding Jebel Ali plant. Satellite-derived sea surface temperature (SST) was derived and compared to field measured temperature collected between January and December 2008. In order to have a better understanding of the spectral and spatial characteristics of satellite data, the mean squared error (MSE) and peak signal to noise ratio (PSNR) were also calculated for different locations in the study area with determined window's size. Structural Similarity (SSIM) factor was used to compare two locations, one with pollution and the other without pollution.
{"title":"Using medium and high resolution satellite images in monitoring water quality surrounding the discharges of desalination plants in the UAE","authors":"Ammar Al Muhairi, H. Ghedira, H. Al-Ahmad, A. Dawood","doi":"10.1109/IGARSS.2010.5650965","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650965","url":null,"abstract":"Today, various processes of seawater desalination are used to satisfy the increasing demand of fresh water. Desalination plants treat the seawater pumped from their intakes and discharge the generated waste back to the sea through their outfalls. The discharged waste, also called brine, has a high salinity level, high temperature and high concentration of other suspended matters which may cause negative environmental effects on the water quality surrounding the discharge point. In this paper, medium and high resolution satellite data collected by MODIS and DubaiSat-1 (DS-1), respectively, were used to derive average digital value and its spatial variability surrounding Jebel Ali plant. Satellite-derived sea surface temperature (SST) was derived and compared to field measured temperature collected between January and December 2008. In order to have a better understanding of the spectral and spatial characteristics of satellite data, the mean squared error (MSE) and peak signal to noise ratio (PSNR) were also calculated for different locations in the study area with determined window's size. Structural Similarity (SSIM) factor was used to compare two locations, one with pollution and the other without pollution.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115712354","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5651926
F. Casu, A. Manconi, A. Pepe, M. Manzo, R. Lanari
We propose advances on the generation of deformation time series in areas affected by large deformation dynamics, where the exploitation of the differential SAR phase can be strongly limited by severe misregistration errors or by very high fringe rates. First, to overcome the former issue, we present an extension of the amplitude-based Pixel-Offset (PO) analyses by applying the Small BAseline Subset (SBAS) strategy, in order to move from the investigation of single (large) deformation events to that of dynamic phenomena. Secondly, to handle the high fringe rate interferograms, we subtract from them properly generated synthetic deformation models allowing us to reduce the fringe rate, thus helping the phase unwrapping step. The proposed approaches have been tested on ASAR-ENVISAT data acquired on Galápagos Islands and validated via continuous GPS measurements.
{"title":"Advances in the generation of deformation time series from SAR data sequences in areas affected by large dynamics","authors":"F. Casu, A. Manconi, A. Pepe, M. Manzo, R. Lanari","doi":"10.1109/IGARSS.2010.5651926","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651926","url":null,"abstract":"We propose advances on the generation of deformation time series in areas affected by large deformation dynamics, where the exploitation of the differential SAR phase can be strongly limited by severe misregistration errors or by very high fringe rates. First, to overcome the former issue, we present an extension of the amplitude-based Pixel-Offset (PO) analyses by applying the Small BAseline Subset (SBAS) strategy, in order to move from the investigation of single (large) deformation events to that of dynamic phenomena. Secondly, to handle the high fringe rate interferograms, we subtract from them properly generated synthetic deformation models allowing us to reduce the fringe rate, thus helping the phase unwrapping step. The proposed approaches have been tested on ASAR-ENVISAT data acquired on Galápagos Islands and validated via continuous GPS measurements.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123099729","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5651724
N. Rodriguez-Alvarez, X. Bosch-Lluis, R. Acevo-Herrera, A. Aguasca, Adriano Camps, M. Vall-llossera, I. Ramos-Pérez, E. Valencia
The use of Global Navigation Satellite Signals Reflections (GNSS-R) techniques to retrieve geophysical parameters from surfaces has been increased in the recent years. These techniques have resulted in suitable tools to obtain information about the sea state of oceans, which is very useful to improve the ocean salinity retrieval [1–3], and also, information about the soil moisture [4–6] of lands. The present work focuses on the use of the Interference Pattern Technique (IPT) [7–10], a particular type of GNSS-R technique, to study vegetation-covered soils. The IPT consists mainly of the measurement of the interference pattern between the GPS direct and reflected signals (the interference power), after they impinge over the ensemble soil surface and vegetation layer. The measured interference signal provides information on the soil moisture of the surface and also, on the vegetation height.
{"title":"Study of maize plants effects in the retrieval of soil moisture using the interference pattern GNSS-R technique","authors":"N. Rodriguez-Alvarez, X. Bosch-Lluis, R. Acevo-Herrera, A. Aguasca, Adriano Camps, M. Vall-llossera, I. Ramos-Pérez, E. Valencia","doi":"10.1109/IGARSS.2010.5651724","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651724","url":null,"abstract":"The use of Global Navigation Satellite Signals Reflections (GNSS-R) techniques to retrieve geophysical parameters from surfaces has been increased in the recent years. These techniques have resulted in suitable tools to obtain information about the sea state of oceans, which is very useful to improve the ocean salinity retrieval [1–3], and also, information about the soil moisture [4–6] of lands. The present work focuses on the use of the Interference Pattern Technique (IPT) [7–10], a particular type of GNSS-R technique, to study vegetation-covered soils. The IPT consists mainly of the measurement of the interference pattern between the GPS direct and reflected signals (the interference power), after they impinge over the ensemble soil surface and vegetation layer. The measured interference signal provides information on the soil moisture of the surface and also, on the vegetation height.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121788966","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5650107
Xiaoliang Wu, S. Collings, P. Caccetta
The advent of very high resolution airborne and spaceborne imaging systems provides opportunities for quantitative mapping and monitoring applications using data from such sensors. Radiometric calibration is an essential step for carrying out quantitative analysis. In this paper, a radiometric calibration approach for high resolution image data is presented, which includes Bi-directional Reflectance Distribution Function (BRDF) calibration, terrain illumination correction for removal of illumination effects caused by undulating surfaces, and detection of shadow and occlusion using high resolution Digital Surface Models (DSM). These methods are showcased in an urban environment monitoring project named Urban Monitor. This project employs photogrammetric sensors to acquire high resolution panchromatic and multi-spectral data. Some radiometric calibration results from the Urban Monitor project are presented. Particular issues such as several shadows cast by above ground objects are addressed and possible solutions are explored. Future work inspired by the recent advances from scene perception research is discussed.
{"title":"BRDF and illumination calibration for very high resolution imaging sensors","authors":"Xiaoliang Wu, S. Collings, P. Caccetta","doi":"10.1109/IGARSS.2010.5650107","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650107","url":null,"abstract":"The advent of very high resolution airborne and spaceborne imaging systems provides opportunities for quantitative mapping and monitoring applications using data from such sensors. Radiometric calibration is an essential step for carrying out quantitative analysis. In this paper, a radiometric calibration approach for high resolution image data is presented, which includes Bi-directional Reflectance Distribution Function (BRDF) calibration, terrain illumination correction for removal of illumination effects caused by undulating surfaces, and detection of shadow and occlusion using high resolution Digital Surface Models (DSM). These methods are showcased in an urban environment monitoring project named Urban Monitor. This project employs photogrammetric sensors to acquire high resolution panchromatic and multi-spectral data. Some radiometric calibration results from the Urban Monitor project are presented. Particular issues such as several shadows cast by above ground objects are addressed and possible solutions are explored. Future work inspired by the recent advances from scene perception research is discussed.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"127 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124272294","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}
Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5653328
F. Ling, Zeng-yuan Li, E. Chen, X. Tian, L. Bai, Fengyu Wang
The objective of this paper is to assess the use of ALOS PALSAR FBD data to map rice growing areas. Image enhancement in backscattering in rice fields as a result of Bragg resonance scattering was found only at HH polarization since double-bounce scattering is a prerequisite to Bragg resonance scattering for radar backscatter from bunches of rice plants. A rice mapping method using HV images was developed and applied to Haian test site. Validation showed that rice mapping using L-band SAR is promising when cross-polarized data are available to cope with the Bragg resonance scattering effects.
{"title":"Rice areas mapping using ALOS PALSAR FBD data considering the Bragg scattering in L-band SAR images of rice fields","authors":"F. Ling, Zeng-yuan Li, E. Chen, X. Tian, L. Bai, Fengyu Wang","doi":"10.1109/IGARSS.2010.5653328","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653328","url":null,"abstract":"The objective of this paper is to assess the use of ALOS PALSAR FBD data to map rice growing areas. Image enhancement in backscattering in rice fields as a result of Bragg resonance scattering was found only at HH polarization since double-bounce scattering is a prerequisite to Bragg resonance scattering for radar backscatter from bunches of rice plants. A rice mapping method using HV images was developed and applied to Haian test site. Validation showed that rice mapping using L-band SAR is promising when cross-polarized data are available to cope with the Bragg resonance scattering effects.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116661387","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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