Remote sensing is rapid and effective in monitoring crop fields to provide decision support to crop production management in field planning, nutrient management, pest control, irrigation, and harvest. Multi-source, multi-scale, multi-temporal agricultural remote sensing and monitoring provides data with huge volume and high complexity for various analytical applications for effective precision agricultural operations. In the past decade, precision agricultural research have been conducted with the images acquired in the research farms over an area of 400 ha in the center of the Mississippi Delta. The images were acquired from high-resolution satellites, an agricultural airplane, and unmanned aerial vehicles along with ground-based detection and measurement. The image sensors are red-green-blue color, visible-near infrared (VNIR) multispectral, VNIR hyperspectral, and thermal infrared. The image data are not only valuable in research for precision agriculture, weed science, and crop genetics but also able to provide guides for farm consultants and producers in their digital agriculture practices in this area. The purpose of this project is to design and develop a systematic prototype to manage and publish the remote sensing image data acquired from different sources at different spatial and temporal scales on internet and mobile platforms to provide services to the local, regional, national, and even global professionals and farmers. To accommodate all data products, the images have to be resampled to fit into a global image tile structure with a data cube by stacking the image tiles in time sequences covering the same area on the ground. The application of a global image tile structure allows the local data tied into a global remote sensing big data management framework.
{"title":"Infrastructural development for farm-scale remote sensing big data service","authors":"Yanbo Huang","doi":"10.1117/12.2324327","DOIUrl":"https://doi.org/10.1117/12.2324327","url":null,"abstract":"Remote sensing is rapid and effective in monitoring crop fields to provide decision support to crop production management in field planning, nutrient management, pest control, irrigation, and harvest. Multi-source, multi-scale, multi-temporal agricultural remote sensing and monitoring provides data with huge volume and high complexity for various analytical applications for effective precision agricultural operations. In the past decade, precision agricultural research have been conducted with the images acquired in the research farms over an area of 400 ha in the center of the Mississippi Delta. The images were acquired from high-resolution satellites, an agricultural airplane, and unmanned aerial vehicles along with ground-based detection and measurement. The image sensors are red-green-blue color, visible-near infrared (VNIR) multispectral, VNIR hyperspectral, and thermal infrared. The image data are not only valuable in research for precision agriculture, weed science, and crop genetics but also able to provide guides for farm consultants and producers in their digital agriculture practices in this area. The purpose of this project is to design and develop a systematic prototype to manage and publish the remote sensing image data acquired from different sources at different spatial and temporal scales on internet and mobile platforms to provide services to the local, regional, national, and even global professionals and farmers. To accommodate all data products, the images have to be resampled to fit into a global image tile structure with a data cube by stacking the image tiles in time sequences covering the same area on the ground. The application of a global image tile structure allows the local data tied into a global remote sensing big data management framework.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"10780 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129913702","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}
X. Shao, C. Cao, Tung-Chang Liu, S. Uprety, Bin Zhang, Wenhui Wang, S. Błoński
The Day/Night Band (DNB) onboard NOAA-20 is a continuation of the heritage nighttime imaging capability on SNPP VIIRS/DNB and supports a wide range of applications such as short-term weather prediction, disaster response and numerous socioeconomic applications. Stray light was observed both in northern and southern hemisphere for SNPP VIIRS/DNB and monthly correction look-up-table has been routinely generated for operational DNB data production. For NOAA-20 VIIRS/DNB, a few changes were introduced such as using Mode 21 to aggregate CCD detectors to form pixels beyond zone 21 due to the nonlinearity in the aggregation with higher mode number. A direct consequence of such aggregation mode change is the extension of the scan angle coverage counter-clockwise beyond that of SNPP, i.e. ~ 4.22 degree into the extended Earth view zone. Evaluation of NOAA-20 DNB performance revealed the appearance of strong and rapidly rising stray light in the extended zone while the overall stray light pattern within the same scan angle range is similar to those of SNPP DNB. This paper characterizes the NOAA-20 DNB stray light. New developments in the DNB stray light correction to address the new stray light features in NOAA-20 DNB are discussed together with the evaluation of the performance of stray light correction.
{"title":"Characterization and correction of stray light for NOAA-20 VIIRS day/night band","authors":"X. Shao, C. Cao, Tung-Chang Liu, S. Uprety, Bin Zhang, Wenhui Wang, S. Błoński","doi":"10.1117/12.2323981","DOIUrl":"https://doi.org/10.1117/12.2323981","url":null,"abstract":"The Day/Night Band (DNB) onboard NOAA-20 is a continuation of the heritage nighttime imaging capability on SNPP VIIRS/DNB and supports a wide range of applications such as short-term weather prediction, disaster response and numerous socioeconomic applications. Stray light was observed both in northern and southern hemisphere for SNPP VIIRS/DNB and monthly correction look-up-table has been routinely generated for operational DNB data production. For NOAA-20 VIIRS/DNB, a few changes were introduced such as using Mode 21 to aggregate CCD detectors to form pixels beyond zone 21 due to the nonlinearity in the aggregation with higher mode number. A direct consequence of such aggregation mode change is the extension of the scan angle coverage counter-clockwise beyond that of SNPP, i.e. ~ 4.22 degree into the extended Earth view zone. Evaluation of NOAA-20 DNB performance revealed the appearance of strong and rapidly rising stray light in the extended zone while the overall stray light pattern within the same scan angle range is similar to those of SNPP DNB. This paper characterizes the NOAA-20 DNB stray light. New developments in the DNB stray light correction to address the new stray light features in NOAA-20 DNB are discussed together with the evaluation of the performance of stray light correction.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115836554","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}
D. Nicks, B. Baker, J. Lasnik, T. Delker, J. Howell, K. Chance, Xiong Liu, D. Flittner, Jhoon Kim
The Geostationary Environmental Monitoring Spectrometer (GEMS) and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) instruments will provide a new capability for the understanding of air quality and pollution. Ball Aerospace is the developer of these UV/Vis Hyperspectral sensors. The GEMS and TEMPO instrument use proven remote sensing techniques and take advantage of a geostationary orbit to take hourly measurements of their respective geographical areas. The high spatial and temporal resolution of these instruments will allow for measurements of the complex diurnal cycle of pollution driven by the combination of photochemistry, chemical composition and the dynamic nature of the atmosphere. The GEMS instrument was built for the Korea Aerospace Research Institute and their customer, the National Institute of Environmental Research (NIER) and the Principle Investigator (PI) is Jhoon Kim of Yonsei University. The TEMPO instrument was built for NASA under the Earth Venture Instrument (EVI) Program. NASA Langley Research Center (LaRC) is the managing center and the PI is Kelly Chance of the Smithsonian Astrophysical Observatory (SAO).
{"title":"Hyperspectral remote sensing of air pollution from geosynchronous orbit with GEMS and TEMPO","authors":"D. Nicks, B. Baker, J. Lasnik, T. Delker, J. Howell, K. Chance, Xiong Liu, D. Flittner, Jhoon Kim","doi":"10.1117/12.2324781","DOIUrl":"https://doi.org/10.1117/12.2324781","url":null,"abstract":"The Geostationary Environmental Monitoring Spectrometer (GEMS) and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) instruments will provide a new capability for the understanding of air quality and pollution. Ball Aerospace is the developer of these UV/Vis Hyperspectral sensors. The GEMS and TEMPO instrument use proven remote sensing techniques and take advantage of a geostationary orbit to take hourly measurements of their respective geographical areas. The high spatial and temporal resolution of these instruments will allow for measurements of the complex diurnal cycle of pollution driven by the combination of photochemistry, chemical composition and the dynamic nature of the atmosphere. The GEMS instrument was built for the Korea Aerospace Research Institute and their customer, the National Institute of Environmental Research (NIER) and the Principle Investigator (PI) is Jhoon Kim of Yonsei University. The TEMPO instrument was built for NASA under the Earth Venture Instrument (EVI) Program. NASA Langley Research Center (LaRC) is the managing center and the PI is Kelly Chance of the Smithsonian Astrophysical Observatory (SAO).","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114331960","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}
Zhiping He, Chunlai Li, R. Xu, G. Lv, Liyin Yuan, Jianyu Wang
Minerals such as pyroxene, plagioclase, olivine, and ilmenite, which constitute most of the lunar surface rocks with varying size and shape, have distinctive spectral characteristics in the VNIR and SWIR regions. To analyze the composition of lunar surface minerals, several spectrometers based on AOTF was developed to detect lunar surface objects and to obtain their reflectance spectra and geometric images includes the Visible and Near-IR Imaging Spectrometer(VNIS) onboard China’s Chang'E 3 and Chang’E 4 lunar rover and Lunar Mineralogical Spectrometer(LMS) onboard Chang'E 5 and Chang'E 6 lunar lander. These spectrometers, which use acoustic-optic tunable filters as dispersive components, consist of a VIS/NIR imaging spectrometer, an SWIR spectrometer, and a calibration unit with dust-proofing functionality. They are capable of synchronously acquiring the full spectra of lunar surface objects and performing in-situ calibration. This paper introduces these instruments, including their working principle, implementation, operation, and major specifications, as well as the initial scientific achievement of lunar surface exploration.
{"title":"The spectrometers based on AOTF for in-situ lunar surface measurement","authors":"Zhiping He, Chunlai Li, R. Xu, G. Lv, Liyin Yuan, Jianyu Wang","doi":"10.1117/12.2324437","DOIUrl":"https://doi.org/10.1117/12.2324437","url":null,"abstract":"Minerals such as pyroxene, plagioclase, olivine, and ilmenite, which constitute most of the lunar surface rocks with varying size and shape, have distinctive spectral characteristics in the VNIR and SWIR regions. To analyze the composition of lunar surface minerals, several spectrometers based on AOTF was developed to detect lunar surface objects and to obtain their reflectance spectra and geometric images includes the Visible and Near-IR Imaging Spectrometer(VNIS) onboard China’s Chang'E 3 and Chang’E 4 lunar rover and Lunar Mineralogical Spectrometer(LMS) onboard Chang'E 5 and Chang'E 6 lunar lander. These spectrometers, which use acoustic-optic tunable filters as dispersive components, consist of a VIS/NIR imaging spectrometer, an SWIR spectrometer, and a calibration unit with dust-proofing functionality. They are capable of synchronously acquiring the full spectra of lunar surface objects and performing in-situ calibration. This paper introduces these instruments, including their working principle, implementation, operation, and major specifications, as well as the initial scientific achievement of lunar surface exploration.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926319","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}
Yonghong Li, X. Xiong, J. Mcintire, A. Angal, S. Gusev, K. Chiang
The VIIRS instrument onboard the NOAA-20 satellite (launched on November 18, 2017) started to collect Earth-view data after its nadir door opened on December 13, 2017. Seven of the VIIRS bands, I4-5 and M12-16 are thermal emissive bands (TEBs), covering a spectral range from 3.6 to 12.5 μm. They began collecting valid data after the cold focal plane assembly (CFPA) cooled down to its nominal operating temperature on January 6, 2018. This paper will present the performance of each TEB, including calibration coefficients, noise equivalent differential temperature (NEdT), on-orbit calibration coefficient estimates from scheduled onboard blackbody warm-up and cool-down (WUCD) data, as well as related telemetry temperatures. Several methods are tested and compared in the WUCD data analysis for estimating the calibration coefficients. Based on the preliminary results, the NEdT of each band is well below the design specification and very close to that of the VIIRS onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite. The detector gains appear stable for bands on the short- and mid-wave infrared CFPA, whereas the detector gains have larger than expected degradation for bands on the long-wave infrared CFPA during the early mission. All TEB related telemetry temperatures are stable. The on-orbit performance of NOAA-20 VIIRS TEB is compared with VIIRS onboard the SNPP.
{"title":"NOAA-20 VIIRS thermal emissive bands on-orbit performance","authors":"Yonghong Li, X. Xiong, J. Mcintire, A. Angal, S. Gusev, K. Chiang","doi":"10.1117/12.2324515","DOIUrl":"https://doi.org/10.1117/12.2324515","url":null,"abstract":"The VIIRS instrument onboard the NOAA-20 satellite (launched on November 18, 2017) started to collect Earth-view data after its nadir door opened on December 13, 2017. Seven of the VIIRS bands, I4-5 and M12-16 are thermal emissive bands (TEBs), covering a spectral range from 3.6 to 12.5 μm. They began collecting valid data after the cold focal plane assembly (CFPA) cooled down to its nominal operating temperature on January 6, 2018. This paper will present the performance of each TEB, including calibration coefficients, noise equivalent differential temperature (NEdT), on-orbit calibration coefficient estimates from scheduled onboard blackbody warm-up and cool-down (WUCD) data, as well as related telemetry temperatures. Several methods are tested and compared in the WUCD data analysis for estimating the calibration coefficients. Based on the preliminary results, the NEdT of each band is well below the design specification and very close to that of the VIIRS onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite. The detector gains appear stable for bands on the short- and mid-wave infrared CFPA, whereas the detector gains have larger than expected degradation for bands on the long-wave infrared CFPA during the early mission. All TEB related telemetry temperatures are stable. The on-orbit performance of NOAA-20 VIIRS TEB is compared with VIIRS onboard the SNPP.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124909027","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}
Ball’s Compact Hyperspectral Prism Spectrometer is being developed for technology insertion in the Sustainable Land Imaging (SLI) program. NASA’s SLI program aims to develop technologies for future Landsat-like measurements. In support of this, NASA’s SLI-Technology program aims to develop a new generation of smaller, more capable, less costly payloads that meet or exceed current Landsat imaging capabilities. By providing continuous visible-to-shortwave hyperspectral data, CHPS will support legacy Landsat data products as well as a much broader range of land science products. We discuss the development of the CHPS technology, initial performance test results, planned airborne demonstration and data distribution to science collaborators, and path to spaceborne demonstration.
{"title":"The compact hyperspectral prism spectrometer for sustainable land imaging: continuing the data record and enabling new discoveries","authors":"T. Kampe","doi":"10.1117/12.2326932","DOIUrl":"https://doi.org/10.1117/12.2326932","url":null,"abstract":"Ball’s Compact Hyperspectral Prism Spectrometer is being developed for technology insertion in the Sustainable Land Imaging (SLI) program. NASA’s SLI program aims to develop technologies for future Landsat-like measurements. In support of this, NASA’s SLI-Technology program aims to develop a new generation of smaller, more capable, less costly payloads that meet or exceed current Landsat imaging capabilities. By providing continuous visible-to-shortwave hyperspectral data, CHPS will support legacy Landsat data products as well as a much broader range of land science products. We discuss the development of the CHPS technology, initial performance test results, planned airborne demonstration and data distribution to science collaborators, and path to spaceborne demonstration.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"134 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116578974","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}
Kazuhiro Tanaka, Y. Okamura, M. Mokuno, T. Amano, J. Yoshida
JAXA's Global Change Observation Mission for Climate (GCOM-C) spacecraft called "SHIKISAI", which means colorfulness in Japanese, was successfully launched on December 23, 2017 by H-IIA launch vehicle, Flight 37 (F37). GCOM-C is sun-synchronous polar orbit satellite with wide field of view (FOV) and 19 channels optical imager, Second Generation Global Imager (SGLI). The essential satellite operation to establish the satellite basic function to be used for the house keeping was successfully completed after the one day critical phase operation. The three months initial commissioning activities for the both satellite bus and sensor has been conducted before the calibration and verification phase to ensure the sensor observation product accuracy. This paper describes the commissioning of SGLI that we have performed during the first several months of in-orbit operation to confirm the system integrity. The technical aspects to the lunar calibration and the thermal infrared performance are specially described.
{"title":"First year on-orbit calibration activities of SGLI on GCOM-C satellite","authors":"Kazuhiro Tanaka, Y. Okamura, M. Mokuno, T. Amano, J. Yoshida","doi":"10.1117/12.2324703","DOIUrl":"https://doi.org/10.1117/12.2324703","url":null,"abstract":"JAXA's Global Change Observation Mission for Climate (GCOM-C) spacecraft called \"SHIKISAI\", which means colorfulness in Japanese, was successfully launched on December 23, 2017 by H-IIA launch vehicle, Flight 37 (F37). GCOM-C is sun-synchronous polar orbit satellite with wide field of view (FOV) and 19 channels optical imager, Second Generation Global Imager (SGLI). The essential satellite operation to establish the satellite basic function to be used for the house keeping was successfully completed after the one day critical phase operation. The three months initial commissioning activities for the both satellite bus and sensor has been conducted before the calibration and verification phase to ensure the sensor observation product accuracy. This paper describes the commissioning of SGLI that we have performed during the first several months of in-orbit operation to confirm the system integrity. The technical aspects to the lunar calibration and the thermal infrared performance are specially described.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"10781 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202247","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}
N. Smith, Susan Thomas, M. Shankar, K. Priestley, N. Loeb, D. Walikainen
The Clouds and the Earth’s Radiant Energy System (CERES) mission is instrumental in monitoring changes in the Earth’s radiant energy and cloud systems. The CERES project is critical in guaranteeing the continuation of highly accurate Earth radiation budget Climate Data Records (CDRs). The CERES Flight Model-5 (FM-5) instrument, integrated onto the Suomi-National Polar-Orbiting Partnership (NPP) spacecraft, joined a suite of four CERES instruments deployed aboard NASA’s Earth Observing System (EOS) satellites Terra and Aqua. Each CERES instrument consists of scanning thermistor bolometer sensors that measure broadband radiances in the shortwave (0.3 to 5μm), total (0.3 to < 200 μm) and water vapor window (8 to 12 μm) regions. In order to ensure the consistency and accuracy of instrument radiances, needed for generating higher-level climate data products, the CERES project implements rigorous and comprehensive radiometric calibration and validation procedures. This paper briefly describes the trends observed in Edition-1 FM5 flux data products that are corrected for inflight gain changes derived from on-board calibration sources. The strategy to detect artifacts and correct for any sensor spectral response changes is discussed. Improvements and validation results of preliminary FM5 Edition-2 products will be compared with Terra and Aqua data products.
{"title":"Assessment of on-orbit variations of the Clouds and the Earth's Radiant Energy System (CERES) FM5 instrument","authors":"N. Smith, Susan Thomas, M. Shankar, K. Priestley, N. Loeb, D. Walikainen","doi":"10.1117/12.2324739","DOIUrl":"https://doi.org/10.1117/12.2324739","url":null,"abstract":"The Clouds and the Earth’s Radiant Energy System (CERES) mission is instrumental in monitoring changes in the Earth’s radiant energy and cloud systems. The CERES project is critical in guaranteeing the continuation of highly accurate Earth radiation budget Climate Data Records (CDRs). The CERES Flight Model-5 (FM-5) instrument, integrated onto the Suomi-National Polar-Orbiting Partnership (NPP) spacecraft, joined a suite of four CERES instruments deployed aboard NASA’s Earth Observing System (EOS) satellites Terra and Aqua. Each CERES instrument consists of scanning thermistor bolometer sensors that measure broadband radiances in the shortwave (0.3 to 5μm), total (0.3 to < 200 μm) and water vapor window (8 to 12 μm) regions. In order to ensure the consistency and accuracy of instrument radiances, needed for generating higher-level climate data products, the CERES project implements rigorous and comprehensive radiometric calibration and validation procedures. This paper briefly describes the trends observed in Edition-1 FM5 flux data products that are corrected for inflight gain changes derived from on-board calibration sources. The strategy to detect artifacts and correct for any sensor spectral response changes is discussed. Improvements and validation results of preliminary FM5 Edition-2 products will be compared with Terra and Aqua data products.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680498","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}
In recent years, JAXA has been conducting a technical survey for a geostationary Earth observation satellite using a 3.5 m diameter aperture with a segmented primary mirror. One of the problems associated with such a large optical observing satellite is a reduction in image quality due to thermal deformation of the optical elements and the metering structure. In this paper, we present our first conceptual structural design and thermal analysis of that design. We also propose a solar light incident avoidance maneuver for this satellite and show the validity of that maneuver.
{"title":"Thermal-structural analysis of geostationary Earth observation satellite with large segmented telescope","authors":"S. Yasuda, A. Okamoto, T. Mizutani","doi":"10.1117/12.2324429","DOIUrl":"https://doi.org/10.1117/12.2324429","url":null,"abstract":"In recent years, JAXA has been conducting a technical survey for a geostationary Earth observation satellite using a 3.5 m diameter aperture with a segmented primary mirror. One of the problems associated with such a large optical observing satellite is a reduction in image quality due to thermal deformation of the optical elements and the metering structure. In this paper, we present our first conceptual structural design and thermal analysis of that design. We also propose a solar light incident avoidance maneuver for this satellite and show the validity of that maneuver.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075123","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}
Tiebiao Zhao, A. Koumis, Haoyu Niu, Dong Wang, Y. Chen
Many studies have shown that hyperspectral measurements can help monitor crop health status, such as water stress, nutrition stress, pest stress, etc. However, applications of hyperspectral cameras or scanners are still very limited in precision agriculture. The resolution of satellite hyperspectral images is too low to provide the information in the desired scale. The resolution of either field spectrometer or aerial hyperspectral cameras is fairly high, but their cost is too high to be afforded by growers. In this study, we are interested in if the flow-cost hyperspectral scanner SCIO can serve as a crop monitoring tool to provide crop health information for decision support. In an onion test site, there were three irrigation levels and four types of soil amendment, randomly assigned to 36 plots with three replicates for each treatment combination. Each month, three onion plant samples were collected from the test site and fresh weight, dry weight, root length, shoot length etc. were measured for each plant. Meanwhile, three spectral measurements were made for each leaf of the sample plant using both a field spectrometer and a hyperspectral scanner. We applied dimension reduction methods to extract low-dimension features. Based on the data set of these features and their labels, several classifiers were built to infer the field treatment of onions. Tests on validation dataset (25 percent of the total measurements) showed that this low-cost hyperspectral scanner is a promising tool for crop water stress monitoring, though its performance is worse than the field spectrometer Apogee. The traditional field spectrometer yields the best accuracy as high as above 80%, whereas the best accuracy of SCIO is around 50%.
{"title":"Onion irrigation treatment inference using a low-cost hyperspectral scanner","authors":"Tiebiao Zhao, A. Koumis, Haoyu Niu, Dong Wang, Y. Chen","doi":"10.1117/12.2325500","DOIUrl":"https://doi.org/10.1117/12.2325500","url":null,"abstract":"Many studies have shown that hyperspectral measurements can help monitor crop health status, such as water stress, nutrition stress, pest stress, etc. However, applications of hyperspectral cameras or scanners are still very limited in precision agriculture. The resolution of satellite hyperspectral images is too low to provide the information in the desired scale. The resolution of either field spectrometer or aerial hyperspectral cameras is fairly high, but their cost is too high to be afforded by growers. In this study, we are interested in if the flow-cost hyperspectral scanner SCIO can serve as a crop monitoring tool to provide crop health information for decision support. In an onion test site, there were three irrigation levels and four types of soil amendment, randomly assigned to 36 plots with three replicates for each treatment combination. Each month, three onion plant samples were collected from the test site and fresh weight, dry weight, root length, shoot length etc. were measured for each plant. Meanwhile, three spectral measurements were made for each leaf of the sample plant using both a field spectrometer and a hyperspectral scanner. We applied dimension reduction methods to extract low-dimension features. Based on the data set of these features and their labels, several classifiers were built to infer the field treatment of onions. Tests on validation dataset (25 percent of the total measurements) showed that this low-cost hyperspectral scanner is a promising tool for crop water stress monitoring, though its performance is worse than the field spectrometer Apogee. The traditional field spectrometer yields the best accuracy as high as above 80%, whereas the best accuracy of SCIO is around 50%.","PeriodicalId":370971,"journal":{"name":"Asia-Pacific Remote Sensing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133872123","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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