IGARSS2011_Koyama_Schneider.pptx
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The document presents a study on retrieving soil moisture under vegetation using dual polarized ALOS PALSAR data. Field measurements were taken at a test site to measure soil properties and vegetation characteristics. PALSAR data from multiple dates was processed to generate HH and HV backscatter images and polarimetric decompositions. An empirical grassland soil moisture retrieval model was developed that accounts for effects of the grass canopy and thatch layer on the radar signal. The model was used to generate high resolution surface soil moisture distribution maps for the test site.
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This document provides instructions for clients of Fox Tax Planning and Preparation for preparing to have their taxes filed. It lists important income and deduction documentation to bring to an appointment, such as W-2s, 1099s, receipts for donations. It also includes an engagement letter detailing the services to be provided, responsibilities of both parties, fees, and electronic filing and signature procedures. Clients are asked to sign the letter agreeing to the terms and return it along with their tax information.
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FR1.L09.2 - ONBOARD RADAR PROCESSING CONCEPTS FOR THE DESDYNI MISSION
FR1.L09.2 - ONBOARD RADAR PROCESSING CONCEPTS FOR THE DESDYNI MISSION
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AT_MB_MM_IGARSS2011.ppt
The document presents research on using L-band radar to retrieve soil moisture and vegetation canopy parameters in boreal forests. A forward scattering model is developed to simulate radar backscatter from forest components. An inverse model using simulated annealing is formulated to estimate parameters by minimizing error between modeled and measured backscatter. The approach is tested on synthetic and real radar data from the CanEx-SM10 experiment, showing accurate retrieval of soil moisture for some forest types but larger errors for others due to model and data limitations.
Global Soil Spectral Library, A global reference, spectral library and conver...
http://www.fao.org/globalsoilpartnership
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©FAO: http://www.fao.org
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This document discusses upscaling flux tower data using remote sensing and modeling to produce global carbon and water flux maps. It summarizes work merging OzFlux tower data, AusCover remote sensing, eMAST modeling, and data integration to upscale measurements from plant to global scales. Two examples are provided of data-model integration at Tumbarumba and along the North Australian Tropical Transect, showing improved ecosystem process understanding through spatially resolved inputs to models from remote sensing. The work finds primary drivers of variability are land use and LAI rather than photosynthetic capacity, and scaling up through TERN facilitates integrated temporal and spatial information.
Evaluating aboveground terrestrial carbon flux as ecosystem planning
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igarss11_rudiger.ppt
The document discusses validation of SMOS L1c and L2 soil moisture products using airborne and ground-based observations across Australia. It describes environmental conditions and essential climate variables in Australia. It outlines the MoistureMap project which uses data assimilation to provide high-resolution soil moisture information. Field campaigns were conducted in the Murrumbidgee catchment and Arid Zone to collect validation data on soil moisture, vegetation properties, and more to compare to SMOS retrievals from overflying aircraft and satellites. Results showed SMOS L1c brightness temperatures were biased high compared to aircraft measurements but bias was reduced after further processing to L2 soil moisture products.
igarss11_rudiger.ppt
The document discusses validation of SMOS L1c and L2 soil moisture products using airborne and ground-based observations across Australia. It describes environmental conditions and essential climate variables in Australia. It outlines the MoistureMap project which uses data assimilation to provide high-resolution soil moisture information. Field campaigns were conducted in the Murrumbidgee catchment and Arid Zone to collect validation data on soil moisture, vegetation properties, and other variables. Results show that SMOS L1c brightness temperatures are validated within error thresholds, while L2 soil moisture products show biases around -8% that need to be corrected.
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This document provides an overview of the WaPOR process for producing biophysical models and satellite-derived data products. It describes updates made in version 3, including using higher resolution VIIRS LST data with thermal sharpening, new meteorological inputs of ERA5/AgERA5, smoothing techniques, accounting for free convection in soil moisture modeling, and infrastructure changes in computing and data registration. The goal is to improve spatial resolution and accuracy of root zone soil moisture, evapotranspiration, and net primary production models.
Soil spectroscopy as a tool for the spatial assessment of soil erosion states...
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This presentation was made during the International Workshop "Soil Spectroscopy: the present and future of Soil Monitoring" that took place at FAO HQ Rome, Italy from 4-6 December 2013. This presentation was made by Sabine Chabrillat, Thomas Schmid, Robert Milewski, Manuel Rodriguez, Paula Escribano, Marta Pelayo & Alicia Palacios-Orueta, and it has the objective to present Soil spectroscopy as a tool for the spatial assessment of soil erosion states in agricultural semi-arid Spain.
©FAO: http://www.fao.org
Bouvet_IGARSS2011.ppt
1) A land cover map of Africa was created at 100m resolution using dual-polarization ALOS PALSAR data from 2007.
2) A preliminary approach used HV backscatter thresholds but a refined analysis considered topography, water detection, and ancillary data.
3) The map was validated against other datasets with an accuracy of 72.4% for land cover classes and 88.3% for forest/non-forest.
Sabaghy_Workshop
This document presents a method for combining active and passive microwave observations to retrieve soil moisture at high spatial resolution. The study uses PALSAR SAR data at 100m resolution and AMSR-E passive microwave data at 25km resolution over a heterogeneous area in the Netherlands. A change detection algorithm is applied to downscale the coarse resolution AMSR-E soil moisture to match the SAR observations. Validation against in situ soil moisture measurements shows reasonable accuracy, with RMSE of around 0.06 m3/m3. Soil moisture maps are produced at 1km, 5km and 10km resolutions, showing the different information extracted at various scales.
IGARSS_2011_GALLOZA.pptx
This study evaluated the use of multispectral and hyperspectral sensor data to estimate crop residue cover over agricultural areas. Hyperspectral data provided more accurate residue cover estimates than multispectral data due to greater spectral sensitivity. Models using a cellulose absorption index performed best. Residue cover estimates from hyperspectral data were substituted into models developed using multispectral data, improving accuracy of estimates from broader coverage sensors. Future work will focus on sensor fusion methods and integrating residue cover information into hydrologic models.
NanoFASE exposure assessment: Middle tier
1) An intermediate tier environmental exposure assessment is used when a lower tier assessment indicates potential risk from exposure.
2) This assessment uses an exposure model that accounts for the nanomaterial's environmental behavior, such as heteroaggregation, and models multiple environmental compartments and transfer between them.
3) The example models titanium dioxide nanoparticles released during road spraying into the Thames catchment area using the SimpleBox4nano model, finding higher predicted environmental concentrations for particles not retained in the polymer matrix compared to those retained.
TH3.L10.1: THE NASA SOIL MOISTURE ACTIVE PASSIVE (SMAP) MISSION: OVERVIEW
The document provides an overview of the NASA Soil Moisture Active Passive (SMAP) mission, which is scheduled to launch in November 2014. SMAP's objectives are to map global soil moisture and freeze/thaw state to further understanding of water, energy and carbon cycles. It will carry radiometer and radar instruments to make high-resolution soil moisture measurements. SMAP data products will support applications in weather forecasting, climate modeling, agriculture, drought monitoring and other areas. The mission involves extensive calibration, validation and community engagement efforts.
3178_IGARSS11.ppt
The document discusses the NASA Soil Moisture Active Passive (SMAP) mission, which is scheduled for launch in 2014. SMAP will map global soil moisture and freeze/thaw state from space to further understanding of the water, energy, and carbon cycles. The mission involves an L-band radar and radiometer to provide soil moisture measurements. Algorithms are being developed and tested to generate products like soil moisture maps from the radar-radiometer data. Validation efforts and working groups are helping prepare for the mission.
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The document summarizes previous research inverting canopy reflectance models to retrieve vegetation biophysical parameters from remote sensing data. It then describes a study that coupled the PROSPECT leaf optical model with the SAIL canopy reflectance model to retrieve sugar beet canopy parameters like chlorophyll, water, leaf area index from AVIRIS hyperspectral data. The study found it could accurately estimate chlorophyll and water but had difficulty separating effects of leaf area index and leaf angle. It also applied the approach to Landsat TM data with similar results.
Summary of DART Electromagnetic Methodology 100111
A summary of the proposed Electromagnetic methodology to be used on the DART project. Presented at the academic and stakeholder meetings (10th and 11th January 2011 respectively) by David Stott (Leeds University).
Streamflow simulation using radar-based precipitation applied to the Illinois...
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e-SOTER Regional pilot platform as EU contribution to a Global Soil Observing...
http://www.fao.org/globalsoilpartnership
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©FAO: http://www.fao.org
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
This document describes the development of an airborne lidar instrument called A-LISTS to demonstrate technologies for a proposed spaceborne lidar mission called LIST. LIST aims to map global topography at 5m resolution to study Earth's surface and changes over time. A-LISTS will test a multi-beam laser transmitter, high sensitivity detectors, and data processing to achieve LIST measurement capabilities from an aircraft. Its first flight in September 2011 will collect lidar data over various terrain to evaluate performance. Key challenges for LIST that A-LISTS helps address include detecting ground returns through vegetation canopies and developing efficient, lightweight instruments.
Surface soil moisturescaling
The document summarizes research on modeling and analyzing soil moisture patterns at the basin scale using ground-based field data and remote sensing results. Key findings include:
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2) Soil moisture variance and correlation length depend on basin wetness. Spatial correlation follows a power law decay up to 1 km and exhibits multiscaling at larger scales.
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1) The document describes a segmentation algorithm for polarimetric SAR (PolSAR) data that can model both scalar-texture and multi-texture scattering.
2) The algorithm uses log-cumulants and hypothesis testing to determine whether a scalar-texture or dual-texture model best fits the data within each segment.
3) The algorithm is tested on simulated multi-texture PolSAR data and is shown to accurately segment the classes and estimate their texture parameters. However, when applied to real data sets, the algorithm only finds the simpler scalar-texture case.
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This document discusses using wavelet transforms to analyze two-point statistics of polarimetric synthetic aperture radar (PolSAR) data. It introduces wavelet variance and kurtosis as metrics that can be applied to PolSAR data transformed using a wavelet frame. It then provides an example of applying this analysis to ALOS PALSAR data over Hawaii's Papau Seamount to characterize sea surface features.
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The Sentinel-1 mission is part of the GMES program and consists of two satellites to provide C-band SAR data for emergency response, marine and land monitoring, and other applications. The satellites operate in a near-polar orbit with a 12 day repeat cycle. The main acquisition mode is an interferometric wide swath mode with 5m range and 20m azimuth resolution over a 250km swath. Sentinel-1 will support operational services and create a long-term SAR data archive.
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
The document summarizes the status of the GMES Space Component program. It describes the Sentinel satellite missions for monitoring land, ocean, atmosphere and emergency situations. The Sentinels will provide long-term data continuity as well as improved coverage compared to existing missions. Sentinel data will be freely and openly available to both operational users and the science community. The program is on track, with the first Sentinel launches beginning in 2013.
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EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
1) The EO-1 Hyperion instrument has collected over 65,000 scenes over its 12-year mission to study land and coastal ecosystems using imaging spectroscopy.
2) Studies using Hyperion data have identified spectral indices related to chlorophyll that correlate with carbon flux measurements at different sites, including a Zambian woodland and North Carolina forest sites.
3) Time series of Hyperion data at flux tower sites show seasonal changes in these spectral indices that match patterns in ecosystem carbon uptake and release.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
1) The EO-1 Hyperion instrument has collected over 65,000 scenes over its 12-year mission to study land and coastal ecosystems using imaging spectroscopy.
2) Studies using Hyperion data have identified spectral indices related to chlorophyll that correlate with carbon flux measurements at different forest, grassland, and woodland sites globally.
3) Time series of Hyperion data at sites in Zambia, North Carolina, and Kansas show seasonal changes in these spectral indices that match patterns in ecosystem carbon uptake and release measured by flux towers.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/Hyperion has been collecting hyperspectral imagery for over 12 years, acquiring over 65,000 scenes. Researchers have been using these data to develop and validate algorithms for estimating vegetation properties like fraction of absorbed photosynthetically active radiation (fAPAR) and photochemical reflectance index (PRI). Comparisons of Hyperion data to field measurements at flux tower sites show these algorithms can accurately track vegetation changes over time and relate spectral properties to productivity metrics like light use efficiency and gross ecosystem productivity. This work is helping prototype data products for the upcoming HyspIRI mission.
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This document is a return and exchange form for a wetsuit company. It provides instructions for customers to fill out when returning an undamaged item for a refund, exchange, or size change. The form requests information like the customer's order details, contact information, the suit being returned and its size, the reason for return, and if applicable, the new desired size. It also provides the return shipping address and notifies customers that the company is not responsible for lost or damaged return packages.
Tana_IGARSS2011.ppt
The document discusses mapping wetlands in North America using MODIS 500m imagery. It describes wetlands and existing global wetland databases. The methodology uses MODIS data from 2008, digital elevation models, and reference data to classify wetlands into three types - forest/shrub dominant wetlands, herbaceous dominant wetlands, and sea grass dominant wetlands. Training data is collected from existing land cover maps and Landsat imagery. A decision tree model and maximum likelihood classification are applied to extract wetlands from other land covers.
Solaro_IGARSS_2011.ppt
The document summarizes research using SBAS-DInSAR (Small BAseline Subset differential interferometric synthetic aperture radar) techniques to analyze ground deformation at Mt. Etna volcano in Italy over the last 18 years using ERS and ENVISAT satellite data. The analysis revealed three main deformation processes: inflation of the volcanic edifice, subsidence of sectors on the eastern flank due to gravitational spreading, and deflation-inflation cycles associated with eruptive and post-eruptive activity. More recent analysis using higher resolution COSMO-SkyMed data from 2009-2010 detected deformation related to faults and a 2010 earthquake more precisely than lower resolution ENVISAT data.
Sakkas.ppt
This study analyzed crustal deformation in the seismically active Patras Gulf region of Greece using GPS data. The GPS network was established in 1994 and expanded through additional campaigns in 1996, 2006, and 2011. The data show the Patras Gulf is opening up at a rate of 8-13 mm/yr with uplift of 5 mm/yr in the south. A continuous GPS station revealed southeast horizontal motion of 17.4 mm/yr and a clear signal from the 2008 Mw 6.4 Andravida earthquake. The results indicate increasing extension across the gulf and smaller extension near the Rio-Antirrio bridge area.
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Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
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Venue: Bangalore International Centre, Bangalore
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Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
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- 1. Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian Koyama & Karl Schneider Department of Geosciences University of Cologne IGARSS 2011 Vancouver July 26, 2011
- 3. ALOS PALSAR Data & Processing
- 4. Grassland Soil Moisture Retrieval Model
- 5. High Resolution Surface Soil Moisture Patterns
- 6. ConclusionsTable of Contents - 02 -
- 7. Grass layer Layer depth: 5 – 175 cm Dielectric constant: 15 – 25 Blade density: 1000 – 3000/m² Grass biomass: 0.2 – 3.1 kg/m² Thatch layer Layer depth: 2 – 4 cm Dielectric constant: 6 – 70 Soil half space Dielectric constant: 9.7 – 33.8 Texture: clay/silt loam Ground Truth Data (test site and field measurements) - 03 -
- 8. PALSAR Fine Mode Dual Polarization Data Region: Track 647+648 / Frame 1000+1010 Ground Range Resolution: 15 m Center Frequency: L-band @ 1,270 MHz Chirp Bandwidth: 14 MHz Polarization: HH + HV Off-Nadir Angle: 34.3 deg. 8/2/2007 9/17/2007 5/4/2008 6/2/2008 6/19/2008 7/18/2008 6/22/2009 7/21/2009 9/5/2009 9/22/2009 5/10/2010 6/25/2010 10/21/2009 Track 647 Track 648 Soil moisture Surface roughness Biomass Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. Nov. Dec. Aug. Sep. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June 2010 2007 2008 2009 ALOS PALSAR FBD343 DATA (product description & acquisition overview) - 04 -
- 9. ALOS PALSAR FBD343 Level 1.1 Multi-looking [C2] Matrix Elements Processing HH Power Image σ0HH HV Power Image σ0HV Multi-Looking Covariance [C2] Matrix Elements Coregistration + Generic Filtering H A alpha span Terrain Geocoding H/A/Alpha Decomposition Radiometric Calibration Geocoding Simplified Processing Chain (basicprocessingand polarimetric decompositionof FBD343) - 05 -
- 10. 2008-06-02 2008-07-18 2009-07-21 200 400 0 Meters Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Dual-pol α/H/span-HSV (H = alpha / S = entropy / V = span)
- 11. Grass canopy Thatch Matrix soil Thatch Layer Effect - 7 -
- 12. 2009-07-21 2008-05-04 2007-09-17 2008-06-02 mv = 51.1 SD = 4.2 mv = 34.5 SD = 3.4 mv = 48.7 SD = 4.9 mv = 37.9 SD = 4.4 Alpha [deg.] Alpha [deg.] Alpha [deg.] Alpha [deg.] Entropy Entropy Entropy Entropy Cloude, S.R. (2007): “The Dual Polarisation Entropy/Alpha Decomposition: A PALSAR Case Study, “ In Proceedings of PolInSAR 2007. Grassland H2αPlanes - 8 -
- 13. Empirical Grassland Parameter Model - 9 -
- 14. Grassland Soil Moisture Estimation - 10 -
- 15. 2007-08-02 2007-09-17 Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 25 75 Surface Soil Moisture Distribution mv [Vol.-%]
- 17. The retrieval algorithm is suitable to account for varying effects of vegetation and thatch
- 18. The thatch layer is the major source of attenuation
- 19. At L-band the amount of above ground grass biomass and its geometric properties can be neglected if <2 kg/m²Conclusions - 12 -
- 20. Thank you for your attention. Acknowledgements The authors thank the Japan Aerospace Exploration Agency (JAXA) and the European Space Agency (ESA) for the provision of ALOS PALSAR data through their PI programme (AOALO.3570). Financial support by the SFB/TR32 "Patterns in Soil-Vegetation-Atmosphere Systems" funded by the German Research Foundation (DFG) is gratefully acknowledged. christian.koyama@uni-koeln.de www.tr32.de - 13 -
- 21. 2009-07-21 2009-07-21 2009-07-21 200 400 0 Meters Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Dual-pol Pauli-RGB (R = C22 /G = C11-2xC12r+C22 /B = C11)
- 22. 2008-05-04 2008-06-02 2008-06-19 Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 25 75 Surface Soil Moisture Distribution mv [Vol.-%]
- 23. 16
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