著者
Kaho NITTA Prakhar MISRA Sachiko HAYASHIDA
出版者
The Remote Sensing Society of Japan
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.42, no.1, pp.36-50, 2022-02-10 (Released:2022-04-26)
参考文献数
36

In this study, the advantage of the state-of-the-art sensor TROPOspheric Monitoring Instrument (TROPOMI) for air pollution research in Indian subcontinent is examined by comparing it with the conventional sensor Ozone Monitoring Instrument (OMI), which has been utilized for more than 15 years since its launch in 2004. The OMI nitrogen dioxide (NO2) dataset was used for comparison, namely, version 4.0 of the standard product developed by NASA (named OMNO2). As our focus is the application of satellite sensors to the study of air pollution, only the areas with high NO2 concentration were extracted for the analysis. A one-year comparison between July 2018 and June 2019 showed strong positive correlation between TROPOMI and the OMI product, with Pearson correlation coefficient of 0.76. The difference between OMI and TROPOMI was generally random. Compared with OMNO2 version 4.0, the annually averaged difference of TROPOMI was found to be (−0.8±1.1)×1015 (1σ) molecules cm−2, which is −22 %±24 % (1σ) as a relative value. The good agreement between TROPOMI and OMI confirmed the compatibility of the observed values. The high resolution of TROPOMI enables the observation of small-scale sources of NO2 that cannot be detected by OMI, which allowed the identification of some examples of NO2 hotspots over power plants in India. The recent identification of a rapid decrease in NO2 after the COVID-19 lockdown in March 2020 in India using TROPOMI data demonstrates the potential of this sensor to detect rapid changes in anthropogenic activities. Our analysis demonstrates usefulness of the NO2 data from TROPOMI, and fruitful scientific results are expected in the future.
著者
大木 真人 夏秋 嶺 青山 定敬 田殿 武雄
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
pp.2021.075, (Released:2022-04-16)
参考文献数
27

Increasing human and economic losses due to urban floods demand rapid flood monitoring using synthetic aperture radar (SAR). In a global first, this study conducted simultaneous experiments using a flood experimental field that can reproduce the conditions of submerged buildings and satellite monitoring using the L-band SAR aboard the Advanced Land Observing Satellite-2 (ALOS-2). Through these experiments, we investigated the relationships among the threshold of interferometric coherence, the accuracy of urban flood detection, the multi-look number in interferometric processing, and floodwater depth. To achieve a better understanding of our experimental results, we also performed theoretical coherence simulations. Our results revealed that the coherence and flood detection accuracy statistically depends on the multi-look number and that 3×3 looks are needed to obtain reasonable accuracy. We also found that coherence-based change detection can detect urban floods with a depth of as little as 6 cm. There was no clear correlation between coherence and water depth. We also performed urban flood detection using ALOS-2 data from observed flood events; the results proved the validity of our theory and its applicability to actual disaster activities. Our findings enable robust urban flood monitoring and contribute to disaster prevention and mitigation.SAR, PALSAR-2, disaster monitoring, flooding, interferometry
著者
小林 秀樹
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.38, no.2, pp.125-130, 2018-04-20 (Released:2018-10-28)
参考文献数
5

Google Earth Engine (GEE) is a cloud-based geospatial data analysis platformfor educational and research purposes. Without familiarity with super-computingarchitecture, users are able to process massive geospatial data sets on GEE. This article describes the characteristics of GEE and some examples of Landsatdata analysis.
著者
佐藤 正樹
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.41, no.2, pp.133-139, 2021-05-15 (Released:2021-08-25)
参考文献数
16

We propose a collaboration study between numerical models and ground remote-sensing observation data over the metropolitan area of Tokyo. The initiative is called ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment), in which using an intensive observation data in the Tokyo area together with satellite observations, cloud microphysics schemes of numerical models are evaluated and improved. We have various kinds of remote sensing data by radars and lidars in the Tokyo area both for operational and research purposes.In particular, we will consider the use of observation data planned for ground validation of the EarhCARE satellite, which is scheduled to be launched in FY2022. We will also use the dual-polarization Doppler weather radar, which is now in operation at the Japan Meteorological Agency. As for the numerical models, we will consider the use and comparison of several models. We particularly focus on the evaluation and improvement of the Non-hydrostatic Icosahedral Atmospheric Model (NICAM), which can be used seamlessly on both global and regional domains, allowing us to quickly test the improved scheme on a global scale, compare it with satellite observations, and estimate climate sensitivity. In addition, this study aims to improve short time forecasts for several hours and beyond by improving the cloud microphysics scheme by using the local model “asuca” of the Japan Meteorological Agency.
著者
陶山 淳治 石井 吉徳 山口 靖 鎌田 浩毅 長谷 絋和 小川 克郎
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.2, no.4, pp.57-65_9, 1982

This paper reviews the method and results of the airborne SAR survey which was conducted by NEDO (New Energy Development Organization) as a part of the Nation-Wide Geothermal Survey Project. The whole Japanese Islands except IzuOgasawara Islands were covered by non-stereo/west-look SAR images. In addition to this, main geothermal area was covered by non-stereo/northlook images and Izu peninsula was covered by stereo/north and west-look images. The SAR holographic date was processed through an optical correlator to present the mosaic image of scale 1 : 200, 000. The geological and geothermal interpretation of the images are now under progress.<BR>This paper presents several SAR images as well as maps produced from SAR images. Some technical problems arisen during the data acquisition (flight) are also presented.
著者
竹内 延夫
出版者
The Remote Sensing Society of Japan
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.2, no.1, pp.3-20, 1982-03-05 (Released:2009-05-22)
参考文献数
68
被引用文献数
2

Laser radar (lidar) is an excellent remote monitoring method for obtaining spatial resolved information of the atmosphere. This paper consists of the followings : 1) an outline of the principle in laser radar measurement and types of laser radars, 2) laser radar systems, and 3) measurements of typical phenomena in air pollution and air-pollution related meteorology, using three laser radar systems (a mobile Mie-scattering laser radar, a large laser radar and a differential absorption lidar (DIAL)) at National Institute for Environmental Studies. Described phenomena cover aerosol dispersion of a stack plume, NO2, concentration distribution in a plume, temporal and spatial structures of atmospheric boundary layer using an aerosol distribution as an indicator, and wide-area pollution map. In addition, data processing of image data of wide-area pollution is described.by Nobuo Takeuchi
著者
前田 佳子 本田 謙一 引地 慶多 廣瀬 葉子
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.40, no.3, pp.135-140, 2020-07-20 (Released:2021-01-06)
参考文献数
2

According to legend, Yakushima still has the giant tree that larger than Jomon-sugi. To search for this legendary giant tree, we used aerial LiDAR data to estimate the distribution area of the giant tree. In the analysis using low-density LiDAR data, the factors related to the distribution of the giant tree were elevation, tree height, tree crown area, tree species and topography, and the giant trees were extracted from these elements. In the analysis using the high-density laser, the factors related to the distribution of giant cedar were set as the gap in the forest and the gentle slope of the valley. We extracted these elements from voxel analysis and estimated the distribution of giant trees.
著者
青山 定敬 西川 肇 村井 宏
出版者
The Remote Sensing Society of Japan
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.10, no.4, pp.539-551, 1990-12-30 (Released:2009-05-22)
参考文献数
18

It is very important to obtain the information on soil physical properties and the growth condition of trees, when we make runoff analysis in forest land. But actual vegetation map is not including the growth condition of trees, and it is difficult to obtain the information on the soil. Therefore, it is thought that the usefulness of satellite data have to be verified in this aspect.This paper aims at estimating the ratio of coarse pore, which relates to hydrologic cycle in forest using satellite data and applying it to flood-runoff analysis. In mountainous terrain, it is necessary to eliminate the terrain effect to radiometrical distortion for satellite data. Therefore, the radiometrical distortions of used LANDSAT/TM data were eliminated using digital terrain model (DTM). Many measurement points were selected in the area for survey of various physical soil properties and vegetation conditions of the forest.In order to estimate the ratio of coarse pore from satellite data, we made linear multiple regression equation through multiple regression analyses on the relationship between the ratio of coarse pore and corrected LANDSAT/TM data to each of categorized three forest types. As the result, it was found that the ratio of coarse pore related to the band ratio of near-infrared/red. Further, we tried to apply the estimated ratio of coarse pore to runoff simulation model. It was found that this method was useful to estimate the ratio of coarse pore, because of the simulated hydrograph well coincide with the observed one.
著者
山本 晴彦 鈴木 義則 早川 誠而
出版者
The Remote Sensing Society of Japan
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.15, no.5, pp.463-470, 1995-12-30 (Released:2009-05-22)
参考文献数
23

The changes in spectral reflectance of plant leaves due to overlapping, leaf thickness, content of chlorophyll and content of water in leaf were investigated using spectrophotometer with integrating sphere. As experimental plants, we selected soybean (c.v. Fukuyutaka), sweet potato (c.v. Benikomachi) and mulberry (c.v. Tokiyutaka), which were main upland cultivar in Japan.1) Spectral reflectance of leaf surface in near infrared range increased in ASLW (accumulated of specific leaf weight, g/cm2). In visible range, even if ASLW increased, spectral reflectance of leaf surface not increased.2) In near infrared range, spectral reflectance of leaf surface linearly increased with increasing SLW (specific leaf weight, g/cm2) in the range of 0-0.05 g/cm2, which showed leaf thickness. For soybean leaves, the equation was "Reflectance in near infrared range (800-1100 nm, %)=2010× SLW+47.2", where correlation coefficient (r) was 0.905. The correlation coefficient value was 0.514 for sweet potato and 0.806 for mulberry respectively.3) Spectral reflectance of leaf surface from visible range to near infrared range increased with decreasing the leaf water content.
著者
齋藤 元也 石塚 直樹 坂本 利弘
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.37, no.3, pp.193-203, 2017-07-21 (Released:2018-01-31)
参考文献数
97
被引用文献数
2

With the advent of new remote-sensing platforms and sensors such as drones, Synthetic Aperture Radar (SAR), high-frequency observation satellites, etc., remote sensing technology is now being used to elucidate or resolve many agriculture-related issues from global food security to precision farming. This article looks back on the trajectory of the remote sensing studies on agriculture in Japan and reviews the results of studies published mainly by researchers at agricultural research institutes in four time periods since the late 1970 s, which we refer to as the “dawn and infancy period”, “development period”, “establishment period”, and “present”.
著者
諏訪 実
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.40, no.1, pp.26-31, 2020-01-31 (Released:2020-07-07)
参考文献数
13

The Forestry Agency plans to revise afforestation grant program rules to allow to use various remote sensing data in application and inspection of the grant procedure. Under the new rules, grant applicants can submit, for example, UAV orthophotos and GIS data instead of printed pictures or paper maps. Inspection is conducted with the submitted data. Efficient grant operation and GIS application in forest management and forestry are expected.
著者
菅野 正人 阿部 友幸
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.40, no.1, pp.32-37, 2020-01-31 (Released:2020-07-07)
参考文献数
5

In October 2015, Typhoon 201523 created very strong winds in central Hokkaido, Japan, causing windfall forest damage in Hokkaido prefectural forests. To assess the windfall damage quickly, we applied remote-sensing techniques using LANDSAT8 images (resolution 30 m) to estimate the distribution and area of the windfall damage and gave the results to relevant organizations. We could evaluate large-scale (≥1 ha) windfall damage, and we found that the LANDSAT8 analysis results helped to reduce the effort required in field surveys.
著者
森野 勇 内野 修
出版者
一般社団法人 日本リモートセンシング学会
雑誌
日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日
vol.39, no.1, pp.37-42, 2019-02-28 (Released:2019-08-01)
参考文献数
40

GOSAT product validation activities and future issues are described in this article. An overview of the GOSAT-2 validation plan is also given. The present main ideas of acquiring validation data for the GOSAT-2 are the same as those for the GOSAT. The TANSO-FTS-2 SWIR L2 products of the column-averaged dry-air mole fractions of CO2, CH4, CO, H2O were obtained as follows. Ground-based high-resolution Fourier transform spectrometer data of the TCCON (Total Carbon Column Observing Network) and NDACC IRWG (Network for the Detection of Atmospheric Composition Change-InfraRed Working Group) sites will be used, and some sites will be co-located with lidar and sky-radiometer systems for extensive validation data acquisition. In-situ measurements and/or sampling of CO2, CH4, and CO onboard commercial and charter aircraft by CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) and NOAA (National Oceanic and Atmospheric Administration) will also be employed. The National Institute for Environmental Studies (NIES) validation team, organizations responsibly participating in the GOSAT series project, and research teams selected through Research Announcement will conduct the validation of the products.