Remote Sensing of Aerosols, Clouds, and Precipitation
Editat de Tanvir Islam, Yongxiang Hu, Alexander A. Kokhanovsky, Jun Wangen Limba Engleză Paperback – 18 oct 2017
- Presents new approaches in the field, along with further research opportunities, based on the latest satellite data
- Focuses on how remote sensing systems can be designed/developed to solve outstanding problems in earth and atmospheric sciences
- Edited by a dynamic team of editors with a mixture of highly skilled and qualified authors offering world-leading expertise in the field
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Specificații
ISBN-13: 9780128104378
ISBN-10: 0128104376
Pagini: 364
Dimensiuni: 191 x 235 x 24 mm
Greutate: 0.84 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128104376
Pagini: 364
Dimensiuni: 191 x 235 x 24 mm
Greutate: 0.84 kg
Editura: ELSEVIER SCIENCE
Cuprins
Section 1 - Remote sensing of aerosols
Atmospheric aerosol models
Polarimetric aerosol remote sensing
Remote sensing of atmospheric aerosol using POLDER
Aerosol remote sensing using multispectral imagers
Aerosol remote sensing using MODIS
Multiangular remote sensing of atmospheric aerosol: MISR experience
Section 2 - Remote sensing of clouds
Cloud remote sensing using MODIS
Fog detection from a satellite
Polarimetric remote sensing of terrestrial clouds
Remote sensing of optically thick clouds: theory and applications
Cloud top height determination from a satellite
Section 3 - Remote sensing of precipitation
Land surface emissivity impact on precipitation remote sensing
Passive microwave remote sensing of precipitation
Precipitation retrieval using ATMS and SAPHIR
Global Precipitation Measurement (GPM) mission
Satellite data assimilation for extreme precipitation events
Section 4 - Remote sensing of aerosols-clouds-precipitation interaction
Impact of aerosols on clouds and precipitation
Aerosol-cloud-precipitation relationships from satellite measurements
Cloud microphysics for satellite based precipitation retrieval
Changes in precipitation and cloud patterns
Atmospheric aerosol models
Polarimetric aerosol remote sensing
Remote sensing of atmospheric aerosol using POLDER
Aerosol remote sensing using multispectral imagers
Aerosol remote sensing using MODIS
Multiangular remote sensing of atmospheric aerosol: MISR experience
Section 2 - Remote sensing of clouds
Cloud remote sensing using MODIS
Fog detection from a satellite
Polarimetric remote sensing of terrestrial clouds
Remote sensing of optically thick clouds: theory and applications
Cloud top height determination from a satellite
Section 3 - Remote sensing of precipitation
Land surface emissivity impact on precipitation remote sensing
Passive microwave remote sensing of precipitation
Precipitation retrieval using ATMS and SAPHIR
Global Precipitation Measurement (GPM) mission
Satellite data assimilation for extreme precipitation events
Section 4 - Remote sensing of aerosols-clouds-precipitation interaction
Impact of aerosols on clouds and precipitation
Aerosol-cloud-precipitation relationships from satellite measurements
Cloud microphysics for satellite based precipitation retrieval
Changes in precipitation and cloud patterns