The 22nd CEReS International Symposium on Remote Sensing [PDF]

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Proceedings of The 22nd CEReS International Symposium

                         

  29 October 2014                                       Organizers:   Center for Environmental Remote  Sensing, Chiba University, Japan   The 6th Indonesia Japan Joint Scientific Symposium (IJJSS 2014)  

Sekip Room, University Club Universitas Gadjah Mada

Jl. Pancasila No.2, Bulaksumur, Yogyakarta Indonesia

Chiba University Sister Universities

(UI, IPB, ITB, Unpad, UGM, Undip, ITS, Unud, Unhas, BMKG)

The 22nd CEReS International Symposium

The 22nd CEReS International Symposium was held at University of Gadjah Mada (UGM), Yogyakarta, Indonesia on 29 October 2014 13:00-18:15. This symposium was realized by collaboration between staffs and students of Center for Environmental Remote Sensing (CEReS), Chiba University, Japan and our Sister Universities and Research Institutions in Indonesia to promote the science and technology exchange in remote sensing fields. This symposium is co-organized with The 6th Indonesia Japan Joint Scientific Symposium (IJJSS 2014, 28-30 October 2014) and sponsored by Center for Environmental Remote Sensing, Chiba University, Japan. Venue Sekip Room, University Club – Universitas Gadjah Mada Jl. Pancasila No.2, Bulaksumur, Yogyakarta Telp: 0274-563461, Fax: 0274-563461 Organizers Center for Environmental Remote Sensing, Chiba University, Japan The 6th Indonesia Japan Joint Scientific Symposium (IJJSS 2014) Chiba University Sister Universities (UI,IPB,ITB,Unpad,UGM,Undip,ITS,Unud,Unhas,BMKG) Contact Person Prof. Josaphat Tetuko Sri Sumantyo, Ph.D Center for Environmental Remote Sensing, Chiba University 1-33 Yayoi, Inage, Chiba 263-8522 Japan Tel. +81 (0)43 290 3840 / Fax +81 (0)43 290 3857 Email [email protected] Website http://www2.cr.chiba-u.jp/jmrsl/

Cover

Monitoring of land deformation of Jakarta city, Indonesia using ASTER and ALOS PALSAR PSInSAR by JMRSL (http://www2.cr.chiba-u.jp/jmrsl/)

Acknowledgement

ASTER data byThe National Institute of Advanced Industrial Science and Technology (AIST) and ALOS PALSAR data by Japan Aerospace Exploration Agency (JAXA) PI Project

Program / Content Page 13:00 – 13:15

Opening Speech & CEReS Introduction, Director CEReS Prof Ryutaro Tateishi

Moderator : Prof. Atsushi Higuchi 13:15 – 13:30 Indonesian Weather, Climate and Tsunami Early Warning System: Future and Challenge Andi Eka Sakya, Head of Indonesian Agency for Meteorological, Climatological and Geophysics (BMKG) 13:30 – 13:45 Separation of Contributions from Atmospheric Scattering and Surface Reflectance in Optical Satellite Imagery Hiroaki Kuze, Naohiro Manago, and Yoshikazu Iikura, CEReS Chiba University 13:45 – 14:00 Application of Unmanned Aerial Vehicle (UAV) for Shoreline Analysis Muh Aris Marfai *1, Fredi Satya C. Rosaji *2, Ahmad Cahyadi *1,*2, Muhammad Rifqi Ghozali I. *1 *1 University of Gadjah Mada, 2 CV. Mitra Geotama Optimizing Indonesian Atmospheric Database (BISMA) And 14:00 – 14:15

Implementations

Laras Tursilowati, Muzirwan, Mahmud, Edy Maryadi, Halimurrahman, and Afif Budiyono, National Institute of Aeronautics and Space (LAPAN) 14:15 – 14:30 Break Moderator : Prof Junun Sartohadi 14:30 – 14:45 Development of Synthetic Aperture Radar onboard UAV and Microsatellites for Environmental Observation Josaphat Tetuko Sri Sumantyo and Nobuyoshi Imura, CEReS Chiba University 14:45 – 15:00 A Compact and Robust Telemetry Systems Construction for the Environmental Observations Elyas Palantei, University of Hasanuddin (Unhas) 15:00 – 15:15 Geospatial Data Sharing/Overlay System – CEReS Gaia – by International Cluster Linkage Ryutaro Tateishi, CEReS Chiba University 15:15 – 15:30 CEReS Archived Satellites Related Datasets and These Applications Higuchi, A.*1, H. Takenaka*2, H. Hirose*1, M.K. Yamamoto*3, S. Kotsuki*4, H. Irie*1, K. Tanaka*5, *1, M. Hayasaki*6 *1 Chiba University, *2 The University of Tokyo, *3 Kyoto University, *4 RIKEN, *5 Kyoto University, *6 University of Tsukuba 15:30 – 15:45 The Dynamic Resources Management in the Active Volcanoes Junun Sartohadi, University of Gadjah Mada (UGM) 15:45 – 16:00 Break Moderator : Dr Ilham Alimuddin 16:00 – 16:15 Application of Hyperspectral Camera for Aerosol Characterization Naohiro Manago, Hayato Saito, Yohei Takara, Makoto Suzuki, and Hiroaki Kuze, CEReS Chiba University 16:15 – 16:30 The Calculation of Natural Ventilation Rate in a Tropical Singlespan Greenhouse with Fog Cooling System Muhammad Hasan, Handarto, and Sudaryanto, University of Padjadjaran (Unpad)

16:30 – 16:45

16:45 – 17:00

Measurement of Sky Radiance using a CMOS Camera for the Retrieval of Aerosol Optical Properties Hiroaki Iwanade, Hayato Saito, Ilham Alimuddin, Naohiro Manago, Hiroaki Kuze, CEReS Chiba University Coastline changes monitoring using satellite images of Makassar Coastal Areas Ilham Alimuddin 1,2, R. Langkoke 2, B. Rochmanto 2, Josaphat Tetuko Sri Sumantyo 1, and Hiroaki Kuze 1 1 Chiba University, 2 Hasanuddin University

17:00 – 17:15

Closing Remarks, Vice Director CEReS Prof Hiroaki Kuze

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CEReS is waiting for you Josaphat Tetuko Sri Sumantyo Research fields are microwave remote sensing and its applications, especially development on synthetic  aperture radar (SAR) devices, unmanned aerial vehicle (UAV) and microsatellites. Students can study synthetic aperture radar (SAR) image processing and its application, Synthetic  Aperture Radar (SAR) devices, unmanned aerial vehicle (UAV) and microsatellites. http://www2.cr.chiba‐u.jp/jmrsl/

Remote Sensing

UAV experiment with a newly developed SAR

Yoshiaki Honda Main research subject is vegetation remote sensing involved in the GCOM‐C1 Research . Students can study vegetation remote sensing and ground validation. Koji Kajiwara Main research subject is vegetation biomass estimation for global/continental scale using earth  observation satellite data based on ground observation of vegetation structure and spectral information. Students can study measurement methods for vegetation spectrum, forest structure observation using  LIDAR system, computer simulation of BRDF, and huge volume satellite data processing.

Ground validation by helicopter for vegetation remote sensing

Hiroaki Kuze Main research subject is to develop optical methods for precise understanding of atmospheric processes  and surface reflection phenomena, with coordinated application of satellite and ground‐based  observations. Students can study satellite and ground‐based atmospheric remote sensing. http://www.cr.chiba‐u.jp/~kuze‐lab/index.html Ryutaro Tateishi Main research subject is global land cover mapping and monitoring. Students can study information extraction of terrestrial environment by remote sensing. http://www.cr.chiba‐u.jp/~tateishi‐lab/

Satellite and  ground‐based  atmospheric  remote  sensing  Measurement  of aerosols  and pollution  gases

Global land cover mapping by MODIS 2008

Various approaches in atmospheric remote sensing

RGB composite map to diagnose land‐atmosphere coupling. Annual mean rainfall (blue), annual mean NDVI (green), and  frequency of surface temperature stress (red).

Atsushi Higuchi Main research interest is to understand land‐atmosphere interaction process in the Earth climate system  using long‐term several satellite observations. Students can study regional climate or meteorological phenomena by long‐term satellite observation  datasets. http://www.cr.chiba‐u.jp/~higulab/top_wiki/

Global Environmental Science

Naoko Saitoh Research field is atmospheric science utilizing satellite remote sensing. Students can study the basis of atmospheric gas retrieval and satellite data analysis. http://www.cr.chiba‐u.jp/~saitohlab/ Upper atmospheric CO2 concentrations observed by GOSAT

Hitoshi Irie Research field is atmospheric environmental science including atmospheric chemistry and physics. Students can study the advanced utilization of remote sensing to understand where, when, and how  much atmospheric environment is changing on a global scale. http://www.cr.chiba‐u.jp/~irielab/index_e.html

Synergistic use of ground- and space-based remote sensing for advanced atmospheric environment research.

Akihiko Kondoh Research fields are geography and hydrology, in brief, human geosciences.  Students can study geographic analyses for the restoration of the sound relationship between human and  nature. http://dbx.cr.chiba‐u.jp/

Contribution to Society

Chiharu Hongo Main research subjects are environmental sciences and food production.  Students can study environmental conscious food production through analysis and diagnosis of  agricultural ecosystem by remote sensing.

Map of nitrogen fertilization amount to be recommended for potato cultivation

Center for Environmental Remote Sensing (CEReS) Chiba University, Japan, is seeking well motivated students. Please contact a secretary of the Director   

BMKG

INDONESIAN WEATHER, CLIMATE AND TSUNAMI EARLY WARNING SYSTEM:

FUTURE AND CHALLENGE Andi E. Sakya Director General Presented at the 6th Indonesia Japan Joint Scientific Symposium (IJJSS 2014), Jogyakarta, 28 – 30 October 2014

CONTENTS BMKG

CONTENTS INTRODUCTION

1. INTRODUCTION

PRESENT STATUS

2. PRESENT STATUS

FUTURE DEVELOPMENT

3. FUTURE DEVELOPMENT

CONCLUSION

4. CONCLUSION

INTRODUCTION BMKG

INDONESIA

CONTENTS



Archipelagic country ~ 17,504 islands (10,000 small islands), right at the equatorial line;



4 M-km2 width of ocean and 2 Mkm2 land, 6,000 km distance from east to west, and 80,000 km of coastal length;



Flanked by 2 ocean (India and Pacific) and 2 continents (Australia and Asia);

INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION



Lays above three plates moving on different speed of creeping Î prone to Earthquake and Tsunami;



Exposed by 3 types of rain, 2 extreeme weather on the east and west, more than 220 seasonal variation zone.

INTRODUCTION BMKG

CONTENTS

WEATHER AND CLIMATE FACTORS Ags Sep

ASIA

4

Okt Nov

INTRODUCTION

1 PRESENT STATUS

1

EL NINO / LA NINA

2

3

DIPOLE MODE POSITIVE/ DIPOLE MODE NEGATIV NEGATIVE VE SURFACE TEMPERATURE

4

EASTERLY/ WESTERLY WIND

3

2

DIRECTION OF SEASONAL WIND AUG – SEP EASTERLY

FUTURE DEVELOPMENT

Ags Sep

ASIA

OCT– NOV WESTERLY

Okt Nov

4 1

CONCLUSION

3 2

INTRODUCTION BMKG

GEOLOGICAL FACTOR

CONTENTS INTRODUCTION

PRESENT STATUS

90 mm/year

FUTURE DEVELOPMENT

CONCLUSION

INTRODUCTION BMKG

POTENTIAL TSUNAMI AFFECTED AREA

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

– Since 1629 until 2013 had occurred 110 significant tsunamis in Indonesia; – 100 times by tectonic earthquake, 9 times by volcanoes and 1 time by landslide; – Northern of West and middle Java tsunami caused by Krakatau explosion 1883

INTRODUCTION BMKG

WHY DISASTER OFTEN CAUSED VICTIMS ?

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

1. Mechanisms from hazards to disaster are not fully understood; 2. Natural supporting capacity is getting more and more vulnerable;

3. People are powerless. CONCLUSION

4. Early Warning System (EWS) is not functioning well or not exist;

PRESENT STATUS BMKG

INA-TEWS

CONTENTS INTRODUCTION

PRESENT STATUS

Teleconference

InaTEWS Inauguration

FUTURE DEVELOPMENT

CONCLUSION

− The 1st phase of InaTEWS is developed from 2005 – 2008 after Aceh Tsunami, and launched in Nov 11, 2008; − 10 RCs, 163 BB SS, 281 − It involved more than 16 national institutions and 5 Intsm, 56 DVB; 28 Sirines, international donor countries and DSS.

PRESENT STATUS BMKG

INA-TEWS

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

PRESENT STATUS BMKG

CONTENTS

INA-TEWS 2005 – 2012

2012 – NOW

INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

NTSP

RTSP

PRESENT STATUS BMKG

DSS EMBEDDED

PRESENT STATUS BMKG

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

INA MEWS – 2011; – Focused on Extreme Weather Î ƒ Heavy Rain,; ƒ Potential Flood,; ƒ Wave Height; and ƒ Potential Forest Fire; ƒ Etc

PRESENT STATUS BMKG

INA CEWS – 2013; – Focused on Extreme Climate Î ƒ Seasonal Onset; ƒ Atmospheric Dyanamic; ƒ Water Content; ƒ Drought ƒ Etc

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

PRESENT STATUS BMKG

DISSEMINATION

CONTENTS

Twitter INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

Google Public Alert

FUTURE DEVELOPMENT BMKG

MANDATE

CONTENTS

1. COMPETENCE LAW 31/09 on Met, Clim & Geo

INTRODUCTION

FUTURE DEVELOPMENT

CONCLUSION

RESPOND TIME

PRESENT STATUS

Long

Quick, Timely, Accurate, Wide Coverage and Comprehensible

Climate – Air Quality

Meteorology

– – –

Human Resource Management Standard

2 EQUIPMENT: – – – –

Sensor; Density; Maintenance; Up-dating

1. Ina-TEWS (2008);

Earthquake

2. Ina-MEWS (2011); Short

Predictable

Unpredictable

3. Ina-CEWS (2013);

NATURAL PHENOMENON

FUTURE DEVELOPMENT BMKG

LESSON LEARNT

CONTENTS INTRODUCTION

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

1. Displaced > ~ 20,000 people, affected about 4,000 households, and 435 people reported dead, with over 100 more missing; 2. Early Warning System wroked well as it disseminated the warning within 4 minute 46 second; 3. The epicenter is so close to the islands that a warning would probably have been too late in any case, as the tsunami only took about five to ten minutes to reach Pagai; 4. Post comprehensive evaluation Î the system works well, the downstream part is as not fast as the upstream development.

FUTURE DEVELOPMENT BMKG

CHALLENGES

1. To produce an early warning information quickly, timely, accurately, broadly and understandably; 2. To encourage people to act safely and properly upon receiving the warning information; 3. To reduce till zero casualities and economic loss at the event of disaster.

FUTURE DEVELOPMENT BMKG

FUTURE DIRECTION

CONTENTS INTRODUCTION

ACT SAFE AND PROPER

PRESENT STATUS

FUTURE DEVELOPMENT

CONCLUSION

Early Warning System Establishment: 1. Continuous Learning, Effort, Assessment and Report (CLEAR); 2. Involving multi: Elements, Stakehorlders, Sectors, Aspects, and Years (ESSAY);

Threshold Level of Vulnerability

• Awareness; • Exposure and Level of Risk.

Multi Scale Approach vs Prediction

• Upstream and downstream Ù Structural and Cultural Approach

Decision Based vs Dissemination Coverage

• Train; • Practise; • Exercise

Early Warning System

CONCLUSION BMKG

CONTENTS INTRODUCTION

PRESENT STATUS

CONCLUDING REMARKS 1. Indonesia, as an archipelagic country and lays right on the tropical line, is highly vulnerable to hydro-meteorological as well as geological disasters ; 2. The development and establishment of Multi-hazards Early Warning System has proven to perform well; 3. Lesson learnt shows that continuous effort to build the downstream part is ultimate important;

FUTURE DEVELOPMENT

CONCLUSION

4. The challenge and future establishment of EWS lay on the understanding following elements to succeed 1)

Level of Vulnerability;

2)

Multiscale approach;

3)

Dissemination coverage;

4)

Continuous effort and assessment (CLEAR ESSAY).

BMKG

THANK YOU [email protected]

Separationofcontributionsfromatmospheric scatteringand surfacereflectanceinoptical satelliteimagery HiroakiKuzea*,Naohiro Managoa, andYoshikazuIikurab aCenter

forEnvironmentalRemoteSensing(CEReS), ChibaUniversity, Chiba2638522,Japan bFaculty of ScienceandTechnology, Hirosaki University,Aomori0368561,Japan

Organizationofthispresentation 1.Introduction 2.Theory 3.Resultsanddiscussion 4.Conclusion

http://earthexplorer.usgs.gov/browse/landsat_8/2014/120/065/LC81200652014274LGN00.jpg

1.Introduction 䚔 Spectralradianceobservedwithasatellitesensoriscomposedofa numberofcontributionsfrombothgroundreflectionandatmospheric scattering.

3

Variationofaerosolopticalthickness(AOT) 䚔 Thedifficultyinanalyzingsatelliteimagery comesfromthevariabilityofaerosol,liquidor solidparticlesfloatingintheatmosphere. 䚔 ThechangeinAOT(W)canbedirectly measuredwithasunphotometerthatobserves theintensityofsolarirradianceatseveral wavelengthbands.

I=I0exp(W)

4

2.Theory OpticalthicknessW 䚔 LambertBeer’stheorystatesthatthechangeoflight intensity(dI)isproportionaltotheproductofI anddz: LambertBeer’slaw constant dI

dz

D I

I

TI 0 I 0e D z I 0e W

I0

W = z = (nV z : opticalthickness 䠄W=1 I = 0.37 I0 䠅

I0eW

䚔 ImportantaspectofAOTisthatthevalueisproportionalto theconcentrationandcrosssectionofthetargetparticle.

5

Fine particles

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㻜㻚㻡 㻌

㻜㻚㻡 㻜㻚㻜 㻝㻚㻜

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Coarse particles 㻌

㻯㼛㼍㼞㼟㼑

㻜㻚㻡



㼂㼛㼘㼡㼙㼑㻌㼞㼍㼠㼕㼛

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LongtermaerosolanalysisatChibaUniversity

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㻜㻚㻜 㻝㻥㻥㻥 㻞㻜㻜㻜 㻞㻜㻜㻝 㻞㻜㻜㻞 㻞㻜㻜㻟 㻞㻜㻜㻠

S.Fukagawaetal.,Atmos.Environ.,40,21602168(2006)

6

Typicalspectralreflectance

7

Absorptioncoefficientforwater

http://www.lsbu.ac.uk/water/vibrat.html 8

HDTVimageoftheEarthfromLunaOrbiter

SELENE,November7,2007 http://www.jaxa.jp/press/2007/11/20071113_kaguya_j.html

9

SpectralIrradianceofsolarradiation

Groundvisibility:V=20km Angstromexponent:p=1

10

CrosssectionofRayleighscattering  ScatteringduetoAirMolecules(N2,O2,Ar,...)

k=2S/O wavenumber D~ molecular polarizability At O= 550 nm, D~ 1.7361u1030 [m3 ] 4SH 0

T

1.7120 @ 1064 nm 11

Polarizabilityandconstantofrefraction 㻸㼛㼞㼑㼚㼠㼦㻙㻸㼛㼞㼑㼚㼦㻌㼑㼝㼡㼍㼠㼕㼛㼚

D~ 4SH 0

n 1 2S n15

n =1.0002770

D~ :molecularpolarizability n15 :molecularnumberdensity at15Υ Constantofrefractioncanbepreciselydeterminedasafunction ofwavelengthandtemperature

(values for air molecule) n15= 2.5469 㽢1025 m-3 O= 355 nm : D~ /(4SH0) = 1.7864 㽢 10-30 m3 O= 532 nm : D~ /(4SH0) = 1.7384 㽢 10-30 m3 O= 1064 nm: D~ /(4SH0) = 1.7120 㽢 10-30 m3

LordRayleigh 18421919 12

3.ResultsRadiancesimulatedforsatellitebands

䚔 Radianceduetothescatteringintheatmosphere(Lmol + Laer) andradianceduetothesurfacereflection(Ld)aresimulated assumingonlythesinglescatteringcontributions.

13

Effect ofmultiplescattering

䚔 SimulationwiththeMODTRANradiativetransfercodewith thefollowingparameters;atmosphericmodel=midlatitude summer,aerosolmodel=maritime,groundvisibility=20km, solarzenithangle=20deg,viewzenithangle=60deg,view azimuth=sameasthesolarazimuth. 14

Relationshipbetweenthesurfacereflectance()and aerosolopticalthickness()

䚔 Typicalrelationshipbetweenandforvariousvaluesof satelliteobservedradiance(Lobs)simulatedforMODISband4 (540 560nm).Whenissmall,thesurfacereflectancecan readilybeestimatedfromthevalueofLobs.

15

MonthlyreflectancemapsaroundTokyobasedonMODIS

䚔 ThemonthlyreflectancemapsarederivedfromMODISband4 (540 560nm)during20072009.Pertinentaerosolinformation wasderivedfromgroundbasedspectroradiometer (EKO,MS720) observationatChibaUniversity.

16

Separationof surface reflectanceand aerosol information fromGMS5 meteorological satellitedata.

䚔 Monthlycompositeapproachwastakenforderivingreflectancemap,andthe resultingsurfaceinformation(reflectancedistribution, map)wasemployedfor estimatingthedistributionofaerosolopticalthickness(AOT, map).

17

Atmosphericcorrection ofruggedterrain (c)isthesolarincidence anglemeasuredfromthe surfacenormal.

(d)Thereflectance imageafterthe topographic correction(terrain slopeeffectand illuminationeffect).

(a)OriginalimagebasedonLandsatTMdatatakenonJuly 26,1997.Theareaisinthenorthernpartofmainisland (Honshu)inJapan,withavolcanoMt.Iwaki(1625m).

18

Himawari8 &9(JMA) Advancedfeatures: 䚕 500mresolution 䚕 observationevery 10min 䚕 RGBbands, 16bandsintotal 䚕 Tobeoperated from2015

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4.Conclusion 䚔 Thispaperhasdescribedthespectralappearanceofatmospheric radiancecomponentsincomparisonwiththespectralreflectance behaviorofusuallyencounteredsurfacecoverage. 䚔 Forthecaseofrelativelylimitedareacoverage(

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