Sano_IGARSS2011.ppt
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The document presents a method to retrieve properties of biomass burning aerosols using a combination of near-UV radiance measurements from the GOSAT/CAI sensor and near-IR polarimetry measurements from the PARASOL/POLDER sensor. The method involves estimating ground reflectance, atmospheric light, aerosol models using refractive indices, vertical aerosol profiles from CALIPSO data, and retrieving aerosol optical thickness, Angstrom exponent and single scattering albedo. Validation with AERONET data shows the retrieved aerosol optical thickness and Angstrom exponent values match partially. The method demonstrates the biomass burning aerosol properties vary over plumes with optical depth and Angstrom exponent
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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.
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
The document describes the progress of the development of CFOSAT SCAT, a Ku-band scatterometer onboard the Chinese-French Oceanography Satellite (CFOSAT). CFOSAT will measure global ocean surface winds and waves to improve weather forecasting, ocean dynamics modeling, climate research, and understanding of surface processes. The SCAT instrument is a rotating fan-beam radar scatterometer that will retrieve wind vectors using measurements of backscatter at incidence angles from 26 to 46 degrees. It has a wide swath of over 1000km and specifications are designed to achieve high-precision wind measurements globally. System details including parameters and the operation mode are provided.
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The document describes the SAP4PRISMA project which aims to develop algorithms and products to support the Italian hyperspectral PRISMA Earth observation mission. The project will focus on data processing, quality assessment, classification methods, and generating level 3 and 4 products for applications like land monitoring, agriculture, and hazard monitoring. It will include the generation of "PRISMA-like" synthetic test data to support algorithm development and validation. The research will be carried out across multiple work packages focusing on topics like data quality, classification methods, calibration/validation, and developing applicative products.
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.
Test
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.
2011_Fox_Tax_Worksheets.pdf
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.
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.
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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.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Sano_IGARSS2011.ppt
- 1. Retrieval of biomass burning aerosols with combination of near-UV radiance and near -IR polarimetry I.Sano, S.Mukai, M. Nakata (Kinki University, Japan), B. Holben (NASA/GSFC, USA) and N. Kikuchi (NIES, Japan)
- 2. Objective Carbonaceous aerosol plays an important role not only in climate but also in aerosol study. It is difficult of modeling the biomass burning aerosols because their properties are widely varied. This work intends to develop an algorithm for retrieval of the biomass burning aerosols (BBA) based on combined use of near-UV radiance by GOSAT/CAI & near-IR polarization by PARASOL/POLDER .
- 4. Time difference between GOSAT/CAI and PARASOL/POLDER ± 5 min ± 30 min Apr. 25, 2009
- 5. Retrieval flow for BBA
- 6. Retrieval flow for BBA
- 8. Estimation of atmospheric light GOSAT / CAI (BGR: 380 , 870, 670 nm) Satellite image 2nd min image Atmos. light image
- 9. Retrieval flow for BBA
- 10. Aerosol model : carbonaceous aerosols Heterogeneous particles should be considered for carbonaceous aerosols. Heterogeneous particles is approximately interpreted by using the refractive index calculated by Maxwell-Garnett mixing rule . ex) Matrix : m =1.46 - 0.0002 i Inclusions: m =1.61 - 0.022 i measurements value for carbon Matrix Inclusions f [%] : volume fraction of inclusions against matrix
- 11. Refractive index (0.38 µm) from Maxwell-Garnett Single scattering albedo (0.38 µm) f : " SSA is decreasing according to the volume fraction of carbonaceous inclusions."
- 12. Retrieval flow for BBA
- 14. Retrieval flow for BBA
- 15. Retrieval process in practice A set of a , and is retrieved for each aerosol model based on POLDER Q U (670, 870) and GOSAT CAI I (380) R (380 nm) PR (670 nm ) PR (870 nm ) R (670 nm ) R (380 nm )
- 16. Aerosol properties over Central Russia on August 5, 2010
- 17. Aerosol properties over Central Russia on August 8, 2010
- 18. Validation of retrieved results a Å ngstr ö m exponent The AERONET AOT and Angstrom data are selected during the ± 30 min against the satellite overpass. Error bars : Min and max values of the measurements.
- 22. GCOM-C / SGLI VNIR Polarization TIR +/- 45 deg. along track tilting Band c SW1 1050 SW2 1380 SW3 1630 SW4 2210 T1 10.8 T2 12.0 Band c VN1 380 VN2 412 VN3 443 VN4 490 VN5 530 VN6 565 VN7 673.5 VN8 673.5 VN9 763 VN10 868.5 VN11 868.5 Band c P1 673.5 P2 868.5