SlideShare a Scribd company logo
Monitoring Vegetation Water Content by Using Optical Vegetation Index and Microwave Vegetation Index:   Field Experiment and Application Hui Lu (  Tsinghua University, China ) Toshio Koike & Hiroyuki Tsutsui ( The University of Tokyo ) Hedeyuki Fujii ( JAXA )
Outline Background and motivation Microwave vegetation index Field Experiment Setting and instruments Observed Results Application  Mongolia site Remark
Background Global vegetation information is closely related to  Food productivity, famine, …… Environment, ecological system, …. In land surface modeling and remote sensing retrieval, vegetation is A key variable of land surface remote sensing Soil moisture, soil temperature, vegetation water content A key parameter in GCM, hydrology and land surface scheme LAI, fPAR, ET, precipitation interception  A key parameter in terrestrial ecosystem model Carbon cycle
Motivation Vegetation parameters observed by satellites: VIS/IR: fractional coverage, NDVI, LAI, NDWI, EVI MW: Vegetation water content (VWC), Microwave vegetation index (MVI) MW RS has daily global coverage and deeper penetration depth Complement vegetation information to VIS/IR What the relationship between these parameters?  Accurate VWC is useful in  Improving soil moisture retrieval algorithm Improving LDAS
VWC, MVI, NDVI, NDWI Microwave vegetation index by Shi NDVI: VIS (620 - 670nm) & NIR (841 - 876 nm)  NDWI:SWIR in band 5 (1230-1250 nm) or band 6 (1628-1652 nm)
Field  Experiment --Instruments and setting Brightness temperature observed by Ground Based Microwave Radiometer, at 6.925, 10.65, 18.7, 23.8, 36.5, 89 GHz  VIS/IR reflectance measured by ASD FieldSpec Pro in a spectral range of 350nm – 2500nm
Experiment design 1 2 3
Experiment design Observing winter wheat One kind of main crops VWC is not so big, C-band could penetrate. Winter wheat development VWC was measured by sampling
Vegetation 01-16 01-19 01-24 02-07 11-29 12-08 12-13 12-20
Observed Results VWC  ~ NDVI NDVI shows a poor correlation to the VWC, with an R-square less than 0.2.  It is not good to estimate VWC from NDVI observation!
Observed Results VWC  ~ NDWI NDWI has a good correlation to VWC, while band 5 has bigger R value VWC information maybe can be estimated by NDWI 5,  for vwc in [0,4]
Observed Results VWC  ~ MWI VWC = linear regression function of MVI High R for X-C band
Application Domain  AMPEX Mongolia; Relative homogenous VWC survey at 2003 Jul  and Aug; 160*120km;
Application: VWC retrieved from JAXA algorithm Vs. in situ VWC provided by JAXA algorithm is comparable to the in situ observed VWC Using as reference data to check the performance of MVI-based method
Results: VWC from MVI-based method A3 H7 MVI(10,6) MVI (18,10) High R for X-C band
Remark Field experiment which observing winter wheat development by using microwave radiometer and VIS/IF spectroradiometer simultaneously. Comparing to in situ observed VWC NDVI show poor correlation NDWI show good correlation MVI show strong correlation MVI-based linear equation could provide VWC information, but the absolute values should be scaled Can be used to monitor the vegetation temporal variation The coefficient of linear equation should be related to (vfc, vegetation type)  Future work:  Quantify the coefficient by each vegetation type (LSM classification, or real type) Test for more observation sites (US site, MDB site, China)
Thank you for your attention!

More Related Content

PDF
Applications of ecological niche modelling for mapping the risk of Rift Valle...
PPTX
kellndorfer_WE3.T05.4.pptx
PPT
Abe Retreat 2009
PDF
Applications of ecological niche modelling for mapping the risk of Rift Valle...
PPT
IGARSS 2011 - FR3.T02 Clement ALBINET.ppt
PPTX
UMResearchPoster
PPT
igarss_2011_breunig_DLR_TDM_water_mask.ppt
PPTX
Satellite Link Measurements
Applications of ecological niche modelling for mapping the risk of Rift Valle...
kellndorfer_WE3.T05.4.pptx
Abe Retreat 2009
Applications of ecological niche modelling for mapping the risk of Rift Valle...
IGARSS 2011 - FR3.T02 Clement ALBINET.ppt
UMResearchPoster
igarss_2011_breunig_DLR_TDM_water_mask.ppt
Satellite Link Measurements

What's hot (10)

PPT
IGARSS_July2011_CANEX_SH.ppt
PDF
EENA 2018 - Weather-related emergencies
PPTX
Presentation of NGS ppt
PPTX
CAMS General Assembly Fires by Kaiser
PPT
100528 satellite obs_china_husar
PDF
1 1 kankiewicz_sandia_epri_pv_perf_wrk_shp_presentation_2016
PPT
Poster Nov19 V1
PPTX
CAMS GS Global Analyses
PDF
Breathe London - Hyperlocal Air Quality Monitoring Network - Jim Mills
PPT
TH4.L10.2: SMAPEX: SOIL MOISTURE ACTIVE PASSIVE REMOTE SENSING EXPERIMENT FOR...
IGARSS_July2011_CANEX_SH.ppt
EENA 2018 - Weather-related emergencies
Presentation of NGS ppt
CAMS General Assembly Fires by Kaiser
100528 satellite obs_china_husar
1 1 kankiewicz_sandia_epri_pv_perf_wrk_shp_presentation_2016
Poster Nov19 V1
CAMS GS Global Analyses
Breathe London - Hyperlocal Air Quality Monitoring Network - Jim Mills
TH4.L10.2: SMAPEX: SOIL MOISTURE ACTIVE PASSIVE REMOTE SENSING EXPERIMENT FOR...
Ad

Viewers also liked (13)

PDF
Map Calculaton using GRASS
PPT
2856 IGARSS 2011- CHARMS.ppt
PPT
Greg Butler, Orroroo presentation
PPTX
Forecasting Wheat Yield and Production for Punjab Province, Pakistan from Sat...
PPT
McNairn soil moisture IGARSS 2011 v2.ppt
PPT
Approaches and needs of remote sensing in phenotyping for plant breeding
PDF
PPTX
Determining gamma radiation dose......Leonard
PPTX
Mapping of abiotic stresses in rice production system - creating target envir...
PPTX
Drought and heat stress in late sown wheat and mitigation strategies
PPT
Growing Wheat
PPTX
Seed treatment, Seed germination and crop establishment in relation to soil m...
PPTX
Seed Germination - Photo Sequence
Map Calculaton using GRASS
2856 IGARSS 2011- CHARMS.ppt
Greg Butler, Orroroo presentation
Forecasting Wheat Yield and Production for Punjab Province, Pakistan from Sat...
McNairn soil moisture IGARSS 2011 v2.ppt
Approaches and needs of remote sensing in phenotyping for plant breeding
Determining gamma radiation dose......Leonard
Mapping of abiotic stresses in rice production system - creating target envir...
Drought and heat stress in late sown wheat and mitigation strategies
Growing Wheat
Seed treatment, Seed germination and crop establishment in relation to soil m...
Seed Germination - Photo Sequence
Ad

Similar to MONITORING VEGETATION WATER CONTENT BY USING OPTICAL VEGETATION INDEX AND MICROWAVE VEGETATION INDEX FIELD EXPERIMENTS AND APPLICATIONS.ppt (20)

PPTX
remote sensing in agriculture
PPT
IGARSS_2011CropCondition.ppt
PPTX
Identification and Evaluation of Cercospora Leaf Spot of Sugar Beet by using ...
PPTX
Optical and Microwave Remote Sensing for Crop Monitoring in Mexico
PDF
Third IDMP CEE workshop: Policy oriented study on remote sensing agricultural...
PDF
Assessment of wheat crop coefficient using remote sensing techniques
PPSX
Hv uav multispectral compared to hyperspectral final
PPTX
Atmospheric Remote Sensing and its Applications.pptx
PDF
Lecture by Prof. Sabino Bufo
PDF
John Stafford
PPTX
Seminar on 'Remote Sensing, Drone in Agriculture'
PPT
Pierdicca-Igarss2011_july2011.ppt
PPT
Pierdicca-Igarss2011_july2011.ppt
PDF
Mapping of Temporal Variation of Drought using Geospatial Techniques
PPT
UAVs: granular remote sensing solutions to leverage smallholder agriculture
PDF
Advanced weather forecasting for RES applications: Smart4RES developments tow...
PDF
Gis n gps in nematode
PDF
Method for Estimation of Grow Index of Tealeaves Based on Bi-Directional Refl...
PDF
IRJET- Rainfall Simulation using ANN based Generealized Feed Forward and MLR ...
remote sensing in agriculture
IGARSS_2011CropCondition.ppt
Identification and Evaluation of Cercospora Leaf Spot of Sugar Beet by using ...
Optical and Microwave Remote Sensing for Crop Monitoring in Mexico
Third IDMP CEE workshop: Policy oriented study on remote sensing agricultural...
Assessment of wheat crop coefficient using remote sensing techniques
Hv uav multispectral compared to hyperspectral final
Atmospheric Remote Sensing and its Applications.pptx
Lecture by Prof. Sabino Bufo
John Stafford
Seminar on 'Remote Sensing, Drone in Agriculture'
Pierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.ppt
Mapping of Temporal Variation of Drought using Geospatial Techniques
UAVs: granular remote sensing solutions to leverage smallholder agriculture
Advanced weather forecasting for RES applications: Smart4RES developments tow...
Gis n gps in nematode
Method for Estimation of Grow Index of Tealeaves Based on Bi-Directional Refl...
IRJET- Rainfall Simulation using ANN based Generealized Feed Forward and MLR ...

More from grssieee (20)

PDF
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
PDF
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
PPTX
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
PPT
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
PPTX
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
PPTX
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PPT
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
PPT
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
PPT
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
PPT
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
PDF
Test
PPT
test 34mb wo animations
PPT
Test 70MB
PPT
Test 70MB
PDF
2011_Fox_Tax_Worksheets.pdf
PPT
DLR open house
PPT
DLR open house
PPT
DLR open house
PPT
Tana_IGARSS2011.ppt
PPT
Solaro_IGARSS_2011.ppt
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
Test
test 34mb wo animations
Test 70MB
Test 70MB
2011_Fox_Tax_Worksheets.pdf
DLR open house
DLR open house
DLR open house
Tana_IGARSS2011.ppt
Solaro_IGARSS_2011.ppt

Recently uploaded (20)

PDF
1 - Historical Antecedents, Social Consideration.pdf
PDF
A Late Bloomer's Guide to GenAI: Ethics, Bias, and Effective Prompting - Boha...
PDF
Hindi spoken digit analysis for native and non-native speakers
PPTX
Final SEM Unit 1 for mit wpu at pune .pptx
PDF
Developing a website for English-speaking practice to English as a foreign la...
PDF
A contest of sentiment analysis: k-nearest neighbor versus neural network
PPTX
Benefits of Physical activity for teenagers.pptx
PDF
WOOl fibre morphology and structure.pdf for textiles
PDF
Hybrid model detection and classification of lung cancer
PDF
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
PPT
Geologic Time for studying geology for geologist
PDF
Taming the Chaos: How to Turn Unstructured Data into Decisions
PDF
Enhancing emotion recognition model for a student engagement use case through...
PPTX
Web Crawler for Trend Tracking Gen Z Insights.pptx
PDF
Architecture types and enterprise applications.pdf
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PDF
Zenith AI: Advanced Artificial Intelligence
PDF
Five Habits of High-Impact Board Members
PPTX
The various Industrial Revolutions .pptx
PDF
Transform Your ITIL® 4 & ITSM Strategy with AI in 2025.pdf
1 - Historical Antecedents, Social Consideration.pdf
A Late Bloomer's Guide to GenAI: Ethics, Bias, and Effective Prompting - Boha...
Hindi spoken digit analysis for native and non-native speakers
Final SEM Unit 1 for mit wpu at pune .pptx
Developing a website for English-speaking practice to English as a foreign la...
A contest of sentiment analysis: k-nearest neighbor versus neural network
Benefits of Physical activity for teenagers.pptx
WOOl fibre morphology and structure.pdf for textiles
Hybrid model detection and classification of lung cancer
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
Geologic Time for studying geology for geologist
Taming the Chaos: How to Turn Unstructured Data into Decisions
Enhancing emotion recognition model for a student engagement use case through...
Web Crawler for Trend Tracking Gen Z Insights.pptx
Architecture types and enterprise applications.pdf
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
Zenith AI: Advanced Artificial Intelligence
Five Habits of High-Impact Board Members
The various Industrial Revolutions .pptx
Transform Your ITIL® 4 & ITSM Strategy with AI in 2025.pdf

MONITORING VEGETATION WATER CONTENT BY USING OPTICAL VEGETATION INDEX AND MICROWAVE VEGETATION INDEX FIELD EXPERIMENTS AND APPLICATIONS.ppt

  • 1. Monitoring Vegetation Water Content by Using Optical Vegetation Index and Microwave Vegetation Index: Field Experiment and Application Hui Lu ( Tsinghua University, China ) Toshio Koike & Hiroyuki Tsutsui ( The University of Tokyo ) Hedeyuki Fujii ( JAXA )
  • 2. Outline Background and motivation Microwave vegetation index Field Experiment Setting and instruments Observed Results Application Mongolia site Remark
  • 3. Background Global vegetation information is closely related to Food productivity, famine, …… Environment, ecological system, …. In land surface modeling and remote sensing retrieval, vegetation is A key variable of land surface remote sensing Soil moisture, soil temperature, vegetation water content A key parameter in GCM, hydrology and land surface scheme LAI, fPAR, ET, precipitation interception A key parameter in terrestrial ecosystem model Carbon cycle
  • 4. Motivation Vegetation parameters observed by satellites: VIS/IR: fractional coverage, NDVI, LAI, NDWI, EVI MW: Vegetation water content (VWC), Microwave vegetation index (MVI) MW RS has daily global coverage and deeper penetration depth Complement vegetation information to VIS/IR What the relationship between these parameters? Accurate VWC is useful in Improving soil moisture retrieval algorithm Improving LDAS
  • 5. VWC, MVI, NDVI, NDWI Microwave vegetation index by Shi NDVI: VIS (620 - 670nm) & NIR (841 - 876 nm) NDWI:SWIR in band 5 (1230-1250 nm) or band 6 (1628-1652 nm)
  • 6. Field Experiment --Instruments and setting Brightness temperature observed by Ground Based Microwave Radiometer, at 6.925, 10.65, 18.7, 23.8, 36.5, 89 GHz VIS/IR reflectance measured by ASD FieldSpec Pro in a spectral range of 350nm – 2500nm
  • 8. Experiment design Observing winter wheat One kind of main crops VWC is not so big, C-band could penetrate. Winter wheat development VWC was measured by sampling
  • 9. Vegetation 01-16 01-19 01-24 02-07 11-29 12-08 12-13 12-20
  • 10. Observed Results VWC ~ NDVI NDVI shows a poor correlation to the VWC, with an R-square less than 0.2. It is not good to estimate VWC from NDVI observation!
  • 11. Observed Results VWC ~ NDWI NDWI has a good correlation to VWC, while band 5 has bigger R value VWC information maybe can be estimated by NDWI 5, for vwc in [0,4]
  • 12. Observed Results VWC ~ MWI VWC = linear regression function of MVI High R for X-C band
  • 13. Application Domain AMPEX Mongolia; Relative homogenous VWC survey at 2003 Jul and Aug; 160*120km;
  • 14. Application: VWC retrieved from JAXA algorithm Vs. in situ VWC provided by JAXA algorithm is comparable to the in situ observed VWC Using as reference data to check the performance of MVI-based method
  • 15. Results: VWC from MVI-based method A3 H7 MVI(10,6) MVI (18,10) High R for X-C band
  • 16. Remark Field experiment which observing winter wheat development by using microwave radiometer and VIS/IF spectroradiometer simultaneously. Comparing to in situ observed VWC NDVI show poor correlation NDWI show good correlation MVI show strong correlation MVI-based linear equation could provide VWC information, but the absolute values should be scaled Can be used to monitor the vegetation temporal variation The coefficient of linear equation should be related to (vfc, vegetation type) Future work: Quantify the coefficient by each vegetation type (LSM classification, or real type) Test for more observation sites (US site, MDB site, China)
  • 17. Thank you for your attention!

Editor's Notes

  • #9: E Emergence 0 29-Nov-06 DR Floral initiation (double ridge) 35 3-Jan-07 TS Terminal spikelet 60 28-Jan-07 First node 80 17-Feb-07 HD Heading 120 29-Mar-07 A Anthesis 130 8-Apr-07 PM Physiological maturity 170 18-May-07