Agriculture 1(Room A, Dec. 21st (Mon.) 9 : 30-10 : 30)

A1

Estimation of Normal Rice Yield Considering Heading Stage ………………………………………………
○ Y. Sofue, C. Hongo, N. Manago (Chiba Univ.),
G. Sigit (Regional Office of Food Crops Service West Java Province),
K. Homma (Tohoku Univ.), and B. Barus (Bogor Agricultural Univ.)

A2

Relationship between TVDI in consideration of growth stage and rice yieldby using GCOM-C/SGLI data ……………………………………………………………………………………
○ N. Shoji, C. Hongo, Y. Sofue (Chiba Univ.),
G. Sigit, and B. Utoyo (Regional Office of Food Crops Service West Java Province)

A3

A4Estimation of the Bacterial Leaf Blight disease damage rate using multi-period
Sentinel-2 data in Indonesia ………………………………………………………………………………………
○ Y. Shibuya, C. Hongo, Y. Sohue (Chiba Univ.), G. Sigit (West Java Province), andB. Barus (Bogor Agricultural Univ.)
Transplanting date estimation for flood damage assessment of paddy rice in Indonesia ………………
○ N. Manago, C. Hongo (Chiba Univ.), H. Wakabayashi (Nihon Univ.),
B. Tjahjono (Bogor Agricultural Univ.), and
S. Dewayani (Regional Office of Food Crops Service West Java Province)
Agriculture 2A5A6A7A8579(Room A, Dec. 21st (Mon.) 10 : 45-11 : 45)

Hyperspectral assessment of soil fertility−a case study in decontaminated farmlands in Fukushima− ………………………………………………
○ Y. Inoue, A. Iwasaki (Univ. Tokyo),
T. Saito, T. Nemoto, and T. Ono (Fukushima ATC)
Relationships between vegetation or soil indexes and meteorological data using
GCOM-C/SGLI data Toward farm monitoring in India drylands …………………………………………
○ M. Sawa, K. Muramatsu (Nara Women's Univ.), and N. Soyama (Tenri Univ.)
Study of Estimating Rice-plant Stem Number using a Vehicle-mounted
LiDAR onboard a UAV System …………………………………………………………………………………
○ M. Ichisawa (Nagaoka Univ. of Tech.),A.T.T. Phan (Vietnam National Univ.-Hochiminh City Univ. of Tech.), andK. Takahashi (Nagaoka Univ. of Tech.)
Mitigating the Effects of Sunlight Conditions for Drone-based Crop Monitoring …………………………
○ A. Hama, A. Kondoh (Chiba Univ.), K. Tanaka (Japan Map Center), andT. Chen (DJI JAPAN)
Vegetation 1313151719(Room A, Dec. 21st (Mon.) 13 : 15-14 : 00)

A9

On the quality of GOSAT-2 solar-induced chlorophyll fluorescence data …………………………………
○ H. Oshio, Y. Yoshida, and T. Matsunaga (NIES)

A10Analysis of characteristics of seasonal changes in chlorophyll index using Sentinel-2/MSI data ……… 27○ S. Miyamoto and K. Muramatsu (Nara Women's Univ.)

A11

The observation of diurnal changes of solar induced chlorophyll fluorescence on groundon extremely hot day ……………………………………………………………………………………………
○ N. Yamamoto, K. Muramatu (Nara Women's Univ.), and K. Kuriyama (Shizuoka Univ.)

（6）

25

29

Vegetation 2(Room A, Dec. 21st (Mon.) 14 : 15-15 : 15)

A12

Verification of ALOS-2/PALSAR-2 logging detection for use in forest cloud system ……………………
○ M. Hayashi, T. Takeo, O. Ochiai, K. Hamamoto (JAXA),
H. Saito, M. Takahashi, and G. Takao (FFPRI)

A13

Trial of accuracies improvement for JJ-FAST deforestation detection algorithm
using deep learning ………………………………………………………………………………………………
○ M. Watanabe, C. Koyama, M. Shimada (Tokyo Denki Univ.),
M. Hayashi, I. Nagatani, and T. Tadono (JAXA)

33

35

A14

Mapping of paddy stubble burning in Punjab, India with GCOM-C/SGLI …………………………………
○ K. Yu, K. Muramatsu (Nara Women's Univ.), and N. Soyama (Tenri Univ.)

37

A15

Detection of traces of crop residue burning in India using Landsat8 OLI/TIRS data ……………………
○ M. Obayashi and K. Muramatsu (Nara Women's Univ.)

39

Vegetation 3
A16(Room A, Dec. 21st (Mon.) 15 : 45-17 : 15)

High-frequency analysis of land surface temperature in 2018 East Asia
heatwave using geostationary satellite Himawari-8/AHI data ………………………………………………
○ Y. Yamamoto, K. Ichii (Chiba Univ.), andM. Kang (National Center for Agro-Meteorology)

43

A17

Positional Accuracy of Time-Series Multiple Satellite Images andVegetation Index Change Tracking …………………………………………………………………………… 45○ T. Shimode, A. Iwasaki, and Y. Inoue (Univ. Tokyo)

A18

Beach Vegetation Classification Using CNN on the Nijigahama Beach in Yamaguchi Prefecture …… 47○ S. Ito, K. Oka, T. Konishi, and Y. Oguro (Hiroshima Inst. Tech.)

A19

Mapping of Japanese oak wilt with pan-sharpen image and field survey data−Forcusing on the canopy size− ……………………………………………………………………………… 49○ Y. Fujiwara, K. Muramatsu (Nara Women's Univ.),
Y. Sakai, and K. Matsui (Nara Univ. of Edu.)

A20

Monitoring of Japanese Oak Wilt with Satellite Data Over Long Period of Time ………………………
○ H. Maekawa and K. Muramatu (Nara Women's Univ.)

51

A21

Hyperspectral data classification using wavelet transform and CNN ………………………………………
○ T. Yamada and A. Iwasaki (Univ. Tokyo)

53

SAR

(Room A, Dec. 22nd (Tue.) 9 : 15-10 : 15)

A22

Super-resolution SAR tomography by a fast compressive sensing algorithm ……………………………
○ Y. Yamaguchi and T. Tanaka (NEC Data Science Research Laboratories)

57

A23

Feasibility study of footprints identification on SAR interferogram using MRF model …………………
○ J. Uemoto and H. Umehara (NICT)

61

A24

Image registration of SAR images for disaster detection using phase correlation ………………………
○ T. Teshima and A. Iwasaki (Univ. Tokyo)

63

A25

Accuracy Improvement of Geometrical Correction of Himawari-8/AHI Nighttime Image ……………
○ S. Tanba (Hirosaki Univ.) and M. Takada (JA Hokkaido)

65

（7）

Landform/Geology(Room A, Dec. 22nd (Tue.) 10 : 30-12 : 00)

A26

Fault Displacement Detection Caused by Large Earthquake Using Extended Deepmatching …………
◯ Y. Kumon and A. Iwasaki (Univ. Tokyo)

A27

Applicability of reconstructed training data sets for multiple simultaneous slope
failure hazard mapping ……………………………………………………………………………………………
○ Y. Nakagawa, H. Kojima (Tokyo Univ. Science), and I. Uchida (PASCO)

71

73

A28

Examination of Landscape change extraction by fusion optical and SARdata ……………………………
○ A. Harimoto and M. Nagai (Yamaguchi Univ.)

75

A29

Development of a mineral identification model with SVM for hyperspectral data ………………………
○ Y. Tochikura and Y. Yamaguchi (Nagoya Univ.)

79

A30

Improvement of the mineral mapping method by a combination of hyper- andmulti-spectral images ……………………………………………………………………………………………
○ K. Nakayama and H. Tonooka (Ibaraki Univ.)
Classification

A31A3281(Room A, Dec. 22nd (Tue.) 13 : 15-14 : 45)

Land-cover classification in multi-temporal optical satellite images using deep learning toward
the Advanced Land Observing Satellite-3 (ALOS-3) …………………………………………………………
○ S. Hirayama, T. Tadono, and Y. Mizukami (JAXA)
A loss function and Pre- and Post-processing for Road Extraction
from Remote Sensing Images by U-net …………………………………………………………………………
○ K. Kobayashi, K. Tadamura (Yamaguchi Univ.), andT. Samura (Yamaguchi Univ./JAXA)

85

87

A33

Fine Land Cover Classification by Light Convolutional Neural Networks Training
with Land Cover Dataset from Other Areas ………………………………………………………………… 89○ K. Uchida, K. Tadamura (Yamaguchi Univ.), andT. Samura (Yamaguchi Univ./JAXA)

A34

Shape estimate for black rain in Hiroshima ……………………………………………………………………
○ S. Ogawa (Institute of Spatial Tech.)

91

A35

Damage proxy map in Beirut explosion ………………………………………………………………………
○ T. Yamada (Nihon Unisys)

93

System 1(Room B, Dec. 21st (Mon.) 9 : 30-10 : 30)

B1

Effect of multi-polarization in GAN based SAR-optical image transformation ……………………………
◯ H. Oishi, M. Maruya, C. Tsutsumi, and R. Nakamura (AIST)

B2

Moving object (human) detection by millimeter-wave radar ………………………………………………… 101○ M. Miyawaki, A. Nohmi, K. Okita, and H. Nohmi (Alouette Technology)

B3

Threshold setting for image texture feature classification using ultra-high resolution data …………… 103○ R. Chiku, D. Watanabe, H. Kojima (Tokyo Univ. Science), andH. Furuki (Nippon Koei)

（8）

97

B4

Selection of effective principal components of hyper spectral data for classificationin concrete surface crack areas ………………………………………………………………………………… 105○ S. Munakata, D. Watanabe, K. Sato, S. Yoshida, andH. Kojima (Tokyo Univ. Science)
System 2(Room B, Dec. 21st (Mon.) 10 : 45-11 : 45)

B5

Effectiveness of skew correction in system corrected images of Landsat ETM+ ……………………… 109○ S. Sawada and H. Saito (Hirosaki Univ.)

B6

Improvement and evaluation of the building height estimation method basedon shadow analysis of a high-resolution satellite image ……………………………………………………… 113○ A. Tokida and H. Tonooka (Ibaraki Univ.)

B7

Detection of poles from a high-resolution satellite image based on shadow analysis …………………… 115○ M. Tsuda and H. Tonooka (Ibaraki Univ.)

B8

Super-resolution reconstruction of satellite images by a channel attention residual network ………… 117○ W. Xin and H. Tonooka (Ibaraki Univ.)
Atmosphere(Room B, Dec. 21st (Mon.) 13 : 15-14 : 00)

B9

Global Distributions of Carbon Dioxide, Methane, and Carbon Monoxide in 2019-2020
as Revealed by GOSAT-2 FTS-2 SWIR Level 2 Standard Products ……………………………………… 121○ T. Matsunaga, I. Morino, Y. Yoshida, M. Saito, H. Noda, H. Ohyama, andY. Niwa (National Institute for Environmental Studies)

B10

Intercomparison of TROPOMI and OMI tropospheric NO2 over South Asia …………………………… 123○ K. Nitta (Nara Women's Univ.) and S. Hayashida (Nara Women's Univ./RIHN)
Water(Room B, Dec. 21st (Mon.) 15 : 45-17 : 15)

B12

Early mega-tsumani warning system based on airborne radar altimeters ……………………………… 127○ A. Nadai (NICT), T. Hirobe (JWA), and Y. Niwa (Univ. Tokyo)

B13

Study on aerosol reflectance correction scheme considering the effect of absorbing aerosol ………… 129○ Y. Takita, M. Toratani, A. Tanaka (Tokai Univ.), andH. Higa (Yokohama National Univ.)

B14

Comparative evaluation of optical satellite atmosphere correction products anddark pixel offset images based on water depth data in shallow-water …………………………………… 131○ Y. Mizukami and T. Tadono (JAXA)

B15

A study on the estimation of the chlorophyll-a concentration in the Uwa Sea
by Landsat-8/OLI data (Part 3) ………………………………………………………………………………… 133○ Y. Oguro, T. Konishi, S. Ito, and C. Miura (Hiroshima Inst. of Tech.)

B16

Drone-based monitoring of the current situation of oyster aquaculture area in Nagatsura-ura Lagoon,
Miyagi Prefecture for grasping environmental carrying capacity ………………………………………… 135○ H. Murata, M. Hara, Y. Yamazaki, M. Saito, andC. Yonezawa (Tohoku Univ.)（9）

Observation instrument(Room B, Dec. 22nd (Tue.) 9 : 15-10 : 15)

B17

Post-arrival Calibration of ONC onboard Hayabusa2 at Ryugu …………………………………………… 139○ T. Kouyama (AIST), Y. Yokota (JAXA), K. Yumoto (Univ. Tokyo),
E. Tatsumi (IAC), M. Yamada (Chiba Inst. of Tech.),R. Honda (Kochi Univ.), and C. Honda (Aizu Univ.)

B18

Development of a Cooled Infrared Camera for Measuring Volcanic Surface Phenomena ……………… 143○ T. Jitsufuchi (NIED)

B19

Wide-range observation method of solar-induced fluorescence image over vegetation canopies ……… 145○ K. Kuriyama (Shizuoka Univ.), N. Manago, H. Kuze (Chiba Univ.), andK. Muramatsu (Nara Women's Univ.)

B20

Evaluation of signal processing method for signals collected by 1.3-GHz wind profiler radar ………… 149○ M.K. Yamamoto (NICT)
Application(Room B, Dec. 21st (Mon.) 14 : 15-15 : 15)

U1

Evaluation of cross-calibration between satellite and drone data for integrated data use ……………… 153○ T. Eguchi, D. Ichikawa, Y. Nagai, M. Nagai (YUCARS), andS. Okamoto (Yamaguchi Univ.)

U2

Multi-year rice growth monitoring using UAV-based hyperspectral remote sensing …………………… 157○ J. Kurihara (Hokkaido Univ.) and T. Nagata (HRO)

U3

Landslide detection by deep-learning using high resolution satellite images ……………………………… 159○ S. Kakuta, J. Kapilaratne, and S. Kaneta (Asia Air Survey)

U4Land cover classification for the river basin condition understanding using SAR data ………………… 161○ M. Moriyama (Nagasaki Univ.), C. Takatori (Kyushu Univ.),
T. Tashiro, and S. Iizuka (Nagoya Univ.)

U5

Assessment of bridge damages due to the July 2020 Japan flood using ALOS-2 images ……………… 163○ W. Liu (Chiba Univ.) and F. Yamazaki (NIED)
Special Session 1(Room B, Dec. 22nd (Tue.) 10 : 15-11 : 45)

S1

Status of GCOM-C/SGLI version 2 ocean products ………………………………………………………… 169○ K. Ogata, H. Murakami (JAXA), M. Toratani, and H. Fukushima (Tokai Univ.)

S2

Expanding utilization of Shikisai (GCOM-C) ocean data ……………………………………………………… 171
M. Takahashi, ○ N. Fujishima, and K. Tanaka (JAXA)S3SGLI data application for coastal fisheries by GIS …………………………………………………………… 173○ K. Saitoh (JAFIC) and N. Uzaki (Aichi Fisheries Research Institute)

S4

Detection of harmful algal bloom in Ariake Bay by SGLI data …………………………………………… 175○ J. Ishizaka (Nagoya Univ.)

S5

Continuous optical measurement on atmosphere and in-water for GCOM-C/SGLI validationin Tokyo Bay ……………………………………………………………………………………………………… 177○ H. Higa, T. Nakayama (Yokohama National Univ.),
K. Takahashi, and H. Muraoka (Holonix International)

（10）

S6

Estimation for Turbidity distribution in Tokyo Bay immediately after heavy rain by SGLI data …… 179○ Y. Sakuno (Hiroshima Univ.), M. Toratani (Tokai Univ.), andH. Higa (Yokohama National Univ.)（11）