Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2019Beskrivning: 1 electronic resource (404 p.)Innehållstyp: - text
- computer
- online resource
- 9783038972761
- Earth Sciences, Geography, Environment, Planning
- Geography
- 3D reconstruction
- <i>Cunninghamia<
- AMSR2
- AVHRR
- Antarctica
- BEPS
- BRDF
- CMA
- China
- Chinese fir
- EVI2
- FY-3C
- Fraunhofer Line Discrimination (FLD)
- GF-1 WFV
- GLASS
- GLASS LAI time series
- GPP
- HJ-1 CCD
- HiWATER
- ICESat GLAS
- LAI
- LUT method
- Land surface emissivity
- Land surface temperature
- Landsat
- LiDAR
- MCD43A3 C6
- MERSI
- MODIS
- MODIS products
- MRT-based model
- MS–PT algorithm
- MWRI
- MuSyQ-GPP algorithm
- NDVI
- NIR
- NPP
- Northeast China
- PROSPECT
- PROSPECT-5B+SAILH (PROSAIL) model
- RADARSAT-2
- SCOPE
- SIF
- SPI
- SURFRAD
- South China's
- Synthetic Aperture Radar (SAR)
- TMI data
- Tibetan Plateau
- VPM
- Visible Infrared Imaging Radiometer Suite (VIIRS)
- ZY-3 MUX
- aboveground biomass
- aerosol
- aerosol retrieval
- albedometer
- algorithmic assessment
- anisotropic reflectance
- arid
- biodiversity
- black-sky albedo (BSA)
- boreal forest
- canopy reflectance
- cloud fraction
- composite slope
- comprehensive field experiment
- controlling factors
- copper
- cost-efficient
- crop-growing regions
- daily average value
- decision tree
- dense forest
- disturbance index
- downscaling
- downward shortwave r
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Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.
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eng
Freely available e-book