satellite-based remote sensing technology from Japan Tsugit ito - - PowerPoint PPT Presentation

Tsugit ito Nagano ano

Deputy ty Manag ager / B Business s Deve velopment lopment Division ision / Solution tion Servic vice Departm tment nt

Remote e Sensing ing Tech chnolo logy gy Center er of Japan (R (REST STEC) EC)

Information services using satellite-based remote sensing technology from Japan

2

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥＳ ＴＥＣ ２０１４

1

Fiv Five e bus busines iness Domains Domains in in RE RESTEC

. . Ca Capa pacity city De Develop elopmen ment; t; Mor More th than 4,00 ,000 tr traine inees s fr from

• m 55

55 cou count ntries ries Nowadays, focusing on “developing solutions”

• no

not l t limi imite ted d to to sa sate tell llite ite

• no

not l t limi imite ted d to to R&D R&D

• ex)

x) pad paddy dy fiel field, d, dr droug

• ught/

ht/flood, flood, land subsi land subsiden dence.

• ce. vessels

essels tr tracking ing etc tc.. ..

The c he cor

• re or

e organ ganiz ization f tion for

• r

sa satell tellite ite-based based remote s emote sensing ensing tec technologies in J hnologies in Japan pan

Mor

• re than 40 y

e than 40 year ears, , RE RESTEC w C wor

• rks

ks f for

• r

EO mis missions ions mainl mainly entr entrus usted by ted by the the Japan pan Ae Aeros

• spac

pace E e Expl xplor

• ration

tion Ag Agenc ency (JAXA) AXA)

REmote Sensing TEchnology Center of Japan

For Climate Change Adaptation

(demonstrating at Fiji, Samoa and Vanuatu)

with introducing Ministry of the Environment Japan (MOEJ) ‘s project

“Developing methodology to evaluate climate change impact in Small Island States”

implemented by RESTEC in association with the University of Tokyo, KANAZAWA University and Broad Band Tower Inc.

4

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥＳ ＴＥＣ ２０１６

Key Technology : Satellite based Digital Surface Model (DSM)

5

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥＳ ＴＥＣ ２０１６

Key Technology : Satellite based Digital Surface Model (DSM)

Coverage map for AW3D DSM made by Japanese Satellite (JAXA’s satellite “ALOS”)

30 m version -> Free of Charge. You can download from JAXA website

6

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥＳ ＴＥＣ ２０１６

Key Technology : Satellite Derived Bathymetry (SDB)

• Z: Depth
• L:radiance recorded by

satellite sensor

• i: band number
• R: sea bottom reflectance
• La: Coefficient about Sun

irradiance and transmittance in atmosphere

• K: Diffuse attenuation

coefficient

• F: Geometric factor
• Ls: radiance scatted in

atmosphere and sea surface

• Lg: radiance of sunglint effect

Lsi Sun Satellite Sea surface Bottom surface Z Li Esun Ki Ri Lgi

Radiance model in coastal water Li = Lai・Ri ・exp(‐Ki・F・Z) + Lsi + Lgi (W/m2/sr/μm) Depth estimation model by Lyzenga (1978) 𝑎 = 𝛾0 + σ𝑗=1

𝑂

𝛾𝑗𝑌𝑗 （𝑌𝑗 = ln（Li − Lsi − Lgi））

Following the increase of N (number

• f bands）, accuracy also increases

Satellite Derived Bathymetry

(by Tatsuyuki Sagawa, RESTEC)

8

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥ ＳＴＥＣ ２０１６

Key Technology : Computing simulation for wave height / direction

Estimated water depth by SDB at Takara Bay, Efate island, Vanuatu Simulation to reproduce wave height and direction condition at TC Pam case (by University of Tokyo)

9

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥ ＳＴＥＣ ２０１６

Key Technology : Applying Climate Change Scenario

The contents will be developed with; 3 scenarios

• RCP 2.6
• RCP 4.5
• RCP 8.5

3 return period

• 50 years
• 100 years
• 200 Years

(by Kanazawa Univ.)

10

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥ ＳＴＥＣ ２０１６

3D Hazard Map (trial version)

11

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥ ＳＴＥＣ ２０１６

For Dissemination: Develop “real” 3D map with projected hazard information

The demonstration system with hazard map for Suva, Fiji was displayed at Japan pavilion at COP23 meeting

Application of Storm surge/wave hazard information (Future vision)

Infrastructure development plans & Climate adaptation plans in SIDS coastal area Storm surge /wave hazards assessment Shoreline storm surge /wave hazards estimation Offshore wave height Dataset for each Climate scenario /return period Operate the stochastic typhoon model Estimate hazards of each target area

Sea depth, DEM, LU/LC etc. Data source: Satellite, Lidar etc.

Display Make presentations to policy makers & stakeholders Practical business

Possible funding /loan condition Open to public ?

For Agriculture [potential contribution to the Pacific]

AO-GEOSS Task 5: food security and agriculture GEOGLAM/Asia-RiCE

ID Target Agricultural Products

P1 Rice Crop Area Estimates/Maps P2 Crop Calendars/Crop Growth Status P3 Crop Damage Assessment P4 Agro-meteorological Information Products P5 Production Estimation and Forecasting

http://www.asia-rice.org

Asia-RiCE (Asia Rice Crop Estimation & Monitoring) is a program led by JAXA and CNES, with more than 20 Asian space agencies and ministries of agriculture, as well as international organizations such as ASEAN/AFSIS, UN/FAO, and IRRI (POCs: Sobue.shinichi@jaxa.jp, ohyoshi.kei@jaxa.jp, Thuy.letoan@cesbio.cnes.fr)

• ADB projects, APRSAF/SAFE

projects and GEORICE projects have successfully demonstrated INAHOR, using SAR data to achieve mapping accuracies of 80-90% for the target provinces

• Scaling-up for major rice producing

areas (planting area and growing stages) are currently demonstrated in Vietnam and Indonesia

• Continuing work on rice crop outlooks

for Asia using EO data in cooperation with ASEAN

• Assessing the impact of typhoons on

rice production in The Philippines using EO data (in cooperation with PSA and ADB)

• GEOSS-AP AGRICULTURE AND

FOOD SECURITY WG was held to share Asia-RiCE accomplishments and linkages with the SDGs Agricultural damage estimation using multi-temporal ALOS-2 data

Challenges / next steps / events:  GEOGLAM sessions at ACRS, APRSAF Space Applications WG (India) and the JECAM/Asia-RiCE meeting (Chinese Taipei)  Scale-up of CH4 measurements to regional-scale, for MRV using SAR/optical data with GHG observations from space  Data fusion / integrated usage and inter-comparison (L/X/C-Band SARs + very high and medium resolution optical)

02 Sept 2017

Earth Observation Satellites Contribute to Food Security and Agriculture

15

Precipitation Soil Moisture Solar Radiation (PAR) + Ground Observation + Models Land Surface Temperature

Agriculture-Related Products

Crop Calendar Planted Area Vegetation Index Drought Index Statistics Early Warning Damage Asses.

Agriculture-related Services

Farming etc.

Product : Damage Assessment Typhoon Lando hit Philippines (13-21 October 2015)

Digital Typhoon (Prof. Kitamoto, NII, Japan) http://agora.ex.nii.ac.jp/digital-typhoon Observed by Himawari-8 Japanese Geostationary Satellite

Agricultural Damage Estimation by Multi-Temporal ALOS-2

17

• Damage (yield decrease) were estimated by using ALOS-2 data (before/after

flooding).

Before Flood (27 Sep 2015) After Flood (20 Oct 2015)

Pro roduct t : Ag Agro ro-me mete teorol rologica cal Monito tor r for r As Asia-RiCE

• JASM

SMIN provides satellite-based precipitation, drought index, solar radiation, land surface temperature, soil moisture, and vegetation index (updated twice a month).

• Map, T

ime-series plot, and text data are available.

Map Time-serie ries plot Top Page

http://suzak aku.eorc.jax axa. a.jp jp/JASMI MIN/in index.htm tml

[Oyoshi et al., JSPRS., 2016]

Vietnam

In the North th, the seeding of autumn-winter rice (wet season rice) is completed. The sown area is around 1.1 million ha, accounting for 99.2% of the last year

• area. The weather

ther in the North th is not good for paddy due to storm m and flood. In the South, the summer-autumn rice enters a harvesting time. The harvested area is around 1.0 million ha …..

Rice Growth Outlook (September 2016)

Precipitation anomaly in first half of September

Satellite deri rived agro-met information can support to judge ge rice growth.

Precipitation (Hanoi Province)

Example: Rice Growt wth Outlook k in V ietnam

Rice Gr Growth th Ou Outl tlook to to GE GEOG OGLAM AM for r F AO AOAM AMIS IS

Agro- met Data AFSIS Agricult ltural Statisticians Monthly y Rice Growt wth Outlo look k is report rted to GEOGLAM for FAO/AMI MIS Phase-2 Phase-1 Ric ice Gr Growt wth Outlo look

Market Monit itor is published by FAO.AM AMIS IS on monthly basis to assess international agricultural market situation and outlo look of wheat, maize, rice, and soybe beans.

Thailand Indonesia Vietnam Philippines Cambodia

Laos

Myanmar

Introduction JAXA’s satellite and service

Global Satellite Mapping of Precipitation

Global Satellite Mapping of Precipitation

22

Global Precipitation Measurement Core satellite

Dual-Frequency Precipitation Radar Constellation satellites

Providing reference standard

Precipitation Radar Microwave Radiometer IR Imager

IR imager by Geostationary satellite

GPM Microwave Imager

Multi-satellite Rainfall Product

• hourly global rainfall data
• 0.1x0.1deg. lat/lon
• In near real time

distribution

23

JAXA JAXA sate satell llites ites sch sched eduled uled for la for laun unch ch in JFY201 in JFY2017

GCOM-C

• bservation

Global data accumulation and synthesis with other satellite data

Land vegetation, ocean chlorophyll-a, and primary production Sea and Land surface temperature Surface albedo and land cover Photosynthetically available radiation Cloud fraction and properties Aerosol amount and properties

SGLI VNR one-day coverage

Examples of GCOM-C SGLI Products

24

25

Remote Sensing Technology Center of Japan

Ａｌｌ ｒｉｇｈｔｓ ｒｅｓｅｒｖｅｄ ＲＥＳＴＥＣ ２０１４

1

• Tea

eam m Japa pan n is r is rea eady dy for

• r mor

more co e contribution to ntribution to the the Pacific using Japan’s satellites and information ser service vices. s.

• For 3D Haza
• r 3D Hazard

d Ma Mapp pping, R ing, RES ESTE TEC C pr prop

• pose
• ses

s to to enhance enhance a a col collabor borati tion

• n wi

with m th maj ajor

• r impl

mplement ementing ng age genc ncies ies in t in the he r region gion. .

• You
• u can

can con contac tact t wi with th us thr us throu

• ugh

gh SP SPC C (Dr (Dr. . Wolf

• lf

and and Dr Dr.J .Jen ens) ) as the as the r region gional par al partne tner of r of R RES ESTE TEC whe hene never y er you

• u w

wan ant. t.

• 10

10 cop copies ies of

• f r

ref efer eren ence ces (A s (AW3D W3D / / 3D haz 3D hazar ard d ma map) p) ar are a e availa vailable tod ble today ay

Conclusion