著者

原 香実 リュウ ウェン 山崎 文雄

出版者

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.36, no.4, pp.338-347, 2016-09-20 (Released:2017-03-24)

参考文献数

25

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Synthetic Aperture Radar (SAR) is a very useful tool for detecting surface changes and deformation caused by volcano activities because of its independence from weather and daylight conditions. A volcano in Kuchinoerabu Island, Kagoshima, Japan, erupted explosively and pyroclastic flows reached the coastal area on May 29, 2015. In this study, ALOS-2 PALSAR-2 data were used to analyze surface changes and deformations associated with the eruptive activity. The pyroclastic flows around the Shindake crater were observed by the differences of backscattering coefficients and the coherence values. Changed areas were extracted by a threshold value of the coherence, and were compared with a visual interpretation result conducted by the Geospatial Information Authority of Japan (GSI). The ground deformation due to the eruption was detected by the interferometric analysis, and its vertical component was estimated by combining the results from two InSAR pairs.

著者

土屋 清

出版者

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.36, no.2, pp.163-166, 2016-04-25 (Released:2016-10-28)

参考文献数

20

著者

祖父江 真一 荒木 博志 田澤 誠一 野田 寛大 奥村 隼人 東泉 一郎 島田 卓也 比嘉 聡 小林 江里子

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 = Journal of the Remote Sensing Society of Japan (ISSN:02897911)

巻号頁・発行日

vol.28, no.3, pp.274-277, 2008-06-25

著者

吉田 和雄

出版者

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.17, no.5, pp.405-410, 1997-12-30 (Released:2009-05-29)

著者

新井 康平

出版者

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.8, no.3, pp.271-278, 1988-09-30 (Released:2009-05-22)

参考文献数

43

著者

早坂 忠裕

出版者

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.34, no.4, pp.266-277, 2014-09-20 (Released:2015-05-09)

参考文献数

42

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The satellite observation of clouds has been contributing to meteorology and climate change science for more than 50 years. Remote sensing techniques have been developed and improved to obtain quantitative data regarding cloud properties. Quantitative estimation of cloud physical parameters depends on the observation technique used, and even basic cloud properties such as cloud amount and top height are different according to the technique. Therefore, to use the obtained data it is necessary to understand the principle of observation. Active remote sensing provides vertical profiles of clouds, although the coverage is limited to the nadir of the satellite orbit. On the other hand, passive remote sensing with a radiometer can scan a wide swath. The combination of these two sensors produces valuable information on the cloud, as well as on the use of multi-wavelength measurements. A comparison of satellite remote sensing with results of numerical simulation, and data assimilation of satellite data are powerful methods for advancing the understanding of cloud properties, which then impacts meteorology and climate change science.

著者

虎谷 充浩

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.33, no.1, pp.56-58, 2013-01-30 (Released:2013-08-24)

参考文献数

2

著者

祖父江 真一 平林 毅 田殿 武雄 村上 浩 久世 暁彦 石澤 淳一郎 清水 収司 大吉 慶 河村 耕平 濱本 昂 池畑 陽介 佐々木 善信 中元 経史朗 落合 治 松尾 尚子 原田 まり子

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.41, no.2, pp.302-304, 2021-05-15 (Released:2021-08-25)

参考文献数

2

著者

本多 嘉明 梶原 康司

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.32, no.2, pp.101-104, 2012-04-20 (Released:2012-11-01)

参考文献数

8

被引用文献数

2

著者

可知 美佐子

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.38, no.5, pp.466-469, 2018-11-28 (Released:2019-05-18)

参考文献数

5

著者

泉澤 遥 平山 颯太 水上 陽誠 奈佐原(西田) 顕郎

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

pp.2022.031, (Released:2023-05-23)

参考文献数

27

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Okinawa Island faces a number of environmental problems, such as red soil runoff and biodiversity degradation. Land use/land cover (LULC) is a major factor contributing to these problems, as are changes in LULC. However, there are few up-to-date LULC maps for Okinawa Island with sufficient accuracy or details in classification categories. In this study, we developed an integrated localization method in which new local LULC maps with a localized classification category system were created by taking advantage of existing LULC maps (polygon-based maps and probabilistic layers from AI-based maps) and local expert knowledge. Using this method, we created LULC maps with 13 categories including major categories found on Okinawa Island such as "Agricultural greenhouse," "Sugarcane," "Pineapple" and "Mangrove forest." We used Sentinel-1 and -2 satellite images, Google’s Dynamic World (DW) probability maps, JAXA’s HRLULC version 21.11 (JAXA-v21.11) probability maps, and MAFF’s Fude Polygon maps as input data for classification. By combining all these input data as a single feature space and, applying Random Forests classification with training data collected by ourselves, we obtained an updated LULC map (2020 as the reference year, 10-m spatial resolution) with a higher overall accuracy (OA; 88.45±1.10 %) than other existing maps. To find the contribution of each set of input data, we tested different choices and combinations of the input data. OA was the lowest (83.18±1.29 %) in the case of Sentinel satellite images only (LC_S), however, incorporating DW probability maps (LC_S&D) or JAXA-v21.11 probability maps (LC_S&J) increased the OA to 85.56±1.21 % and 84.20±1.26 %, respectively. Incorporating Fude Polygon maps (LC_S&F) increased the OA to 86.28±1.19 %. The product developed in this study has been released on JAXA’s "High-resolution Land Use Land Cover Maps" website.

著者

樋口 篤志 竹中 栄晶 青木 佐恵子 豊嶋 紘一 山本 宗尚 山本 雄平 市井 和仁

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.4, pp.487-492, 2021-09-20 (Released:2022-01-13)

参考文献数

28

著者

安在 亮 富谷 光良

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.21, no.3, pp.232-239, 2001-06-29 (Released:2009-05-22)

参考文献数

9

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Image-to-image registration is applied to register overlapped images of a scene from different dates and views. Area features of the same regions are extracted from images as matching entities.The boundaries are matched in the frequency domain (Fourier descriptors) as area features. Two applications to extract the features from images as matching entities, "Edge enhancement and thinning" and "Region growing" are examined for this method. Registering a pair ofremote sensing data using this method is presented to show the secular change and the seasonal change of the data.

著者

亀山 哲 宮本 千晴 須田 清治 浅野 哲美

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.5, pp.399-404, 2019-11-20 (Released:2020-05-20)

参考文献数

25

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Mangrove is a general term for plants that inhabit coastal intertidal zones in the tropical to subtropical regions. We focused on the green infrastructure function of this mangrove wetland. In addition to ecological restoration, we are also supporting restoration activities in the coastal area of Vietnam from the viewpoint of Eco-DRR (Ecosystem-based Disaster Risk Reduction), which contributes to mitigating the effects of climate change. The purpose of using remote sensing (partially GIS database) for this project is to detect primary mangrove habitats by analyzing past satellite images before the coastal area was developed. In this activity, we regarded the native mangrove area as the suitable place for the original mangrove habitat (a place suitable for wetland restoration), and used the image analysis results in the selection of plantations effectively. The most part of the native mangrove area detected as a result of this analysis was concentrated in the coastal delta (especially near the estuary where the island is located offshore). This approach of integrating native (potential) mangrove habitats with huge amounts of big data to detect natural restoration sites in a wide area can reduce the cost of field surveys. Therefore, future application in nature restoration is strongly expected.

著者

井上 吉雄

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

vol.41, no.2, pp.119-126, 2021-05-15 (Released:2021-08-25)

参考文献数

18

著者

六川 修一

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.1, pp.1, 2021-01-20 (Released:2021-06-04)

著者

金田 真一 千葉 達朗

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.42, no.3, pp.196-198, 2022-08-10 (Released:2022-11-26)

参考文献数

5

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On August 13, 2021, there was an eruption of Fukutoku-Oka-no-Ba submarine volcano, located between Iwo Jima and Minami Iwo Jima in the southernmost part of the Ogasawara Islands, approximately 1,300 km from Tokyo. The volcanic plume reached a height of 16 km and ejected a large amount of pumice, which floated over the Pacific Ocean.Some of the floating pumice drifted to the Ryukyu Islands, reaching the main island of Okinawa and Amami-Oshima in early October 2021. As of June 2022, floating pumice was still affecting marine traffic, fishing, and tourism in the area. This article presents satellite images of the eruption and the drifting floating pumice stone.

著者

横矢 直人

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.105-110, 2018-04-20 (Released:2018-10-28)

参考文献数

22

被引用文献数

1

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Resolution enhancement is a key technology that can expand the range of potential applications for spaceborne hyperspectral missions. This paper provides an overview of resolution enhancement techniques for hyperspectral imagery, namely, hyperspectral superresolution, subpixel mapping, hyperspectral pansharpening, and hyperspectral and multispectral data fusion. The paper describes the potential and limitations of each technique from the viewpoint of practicality.

著者

Takeshi HOSHIKAWA Kazukiyo YAMAMOTO

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.40, no.1, pp.13-19, 2020-01-31 (Released:2020-07-07)

参考文献数

28

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Pine wilt disease is one of the most destructive disease of pine forests. It is important to detect and exterminate infected trees for preservation of the forest. We demonstrated a novel method combining individual tree detection (ITD) and classification by logistic regression using unmanned aerial vehicle (UAV) images for the mapping of infected trees. In the ITD phase, 50 % and 84 % of damaged trees were automatically detected from the 3D point cloud generated from the UAV images using the local maximum filter. These rates of detection were comparable to previous studies that used UAV imagery. Subsequently, five vegetation indices calculated from multispectral and visible color (RGB) images were used. Among the vegetation indices, normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and vegetation atmospherically resistant index (VARI) were preferable explanatory variable in the logistic regression to divide damaged and undamaged trees. The accuracy of these models ranged from 98 % to 100 % and the F-measure ranged from 94 % to 100 %. The best model, the logistic regression model using VARI as the explanatory variable, was then tested using five datasets to evaluate general performance. Each model showed explicitly high accuracy ranging from 95 % to 100 %. The best accuracy when considering the ITD and classification was 84 %. To map pine wilt disease, the proposed method is suitable for practical use due to its high-efficient and low-cost.

著者

笠井 康子

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.36, no.3, pp.251-255, 2016-07-05 (Released:2016-12-27)

参考文献数

11

被引用文献数

1