Remote Sensing of Land Surface Phenology

Remote Sensing of Land Surface Phenology

Land surface phenology (LSP) uses remote sensing to monitor seasonal dynamics in vegetated land surfaces and retrieve phenological metrics (transition dates, rate of change, annual integrals, etc.). LSP has developed rapidly in the last few decades. Both regional and global LSP products have been ro...

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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Environmental science, engineering and technology
History of engineering and technology
Technology: general issues
arctic
autumn phenology
carbon cycle
carbon exchange
climate change
climate changes
climatic limitation
contribution
crop sowing date
data suitability
development stage
different drivers
digital camera
driving factors
enhanced vegetation index
evapotranspiration
Google Earth Engine
GPP
gross primary production
Hangzhou
high elevation
human activities
land surface phenology
land surface temperature
MODIS
Mongolian oak
n/a
NDPI
NDVI
Northeast China
phenology
photosynthesis
plant phenology
process-based model
Qilian Mountains
Qinghai-Tibetan Plateau
random forest model
remote sensing
sap flow
satellite data
seasonally dry tropical forest
snow cover
snow phenology
soil moisture
solar-induced chlorophyll fluorescence
spatial scaling effects
spatiotemporal dynamics
spatiotemporal patterns
spatiotemporal variations
structural equation model
the Loess Plateau
Three-River Headwaters region
turning point
urban heat island effect
urbanization
vegetation dynamics
vegetation indexes
vegetation phenology
water use efficiency
yield gap
yield potential
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