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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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Bewaard in:
Formaat: Online
Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2022
Onderwerpen:
climate change
digital camera
MODIS
Mongolian oak
phenology
sap flow
urbanization
plant phenology
spatiotemporal patterns
structural equation model
Google Earth Engine
Three-River Headwaters region
GPP
carbon cycle
arctic
photosynthesis
remote sensing
crop sowing date
development stage
yield gap
yield potential
process-based model
land surface temperature
urban heat island effect
contribution
Hangzhou
land surface phenology
NDVI
spatiotemporal dynamics
different drivers
random forest model
data suitability
satellite data
spatial scaling effects
the Loess Plateau
autumn phenology
turning point
climate changes
human activities
Qinghai-Tibetan Plateau
snow phenology
driving factors
spatiotemporal variations
Northeast China
vegetation indexes
seasonally dry tropical forest
vegetation phenology
climatic limitation
solar-induced chlorophyll fluorescence
enhanced vegetation index
gross primary production
evapotranspiration
water use efficiency
NDPI
Qilian Mountains
snow cover
high elevation
soil moisture
vegetation dynamics
carbon exchange
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
Online toegang:ONIX_20221025_9783036553252_69
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