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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Detalles Bibliográficos
Otros Autores:	Ma, Xuanlong (Editor), Jin, Jiaxin (Otro), Zhu, Xiaolin, Zhou, Yuke, Xie, Qiaoyun
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Materias:	Technology: general issues History of engineering & technology Environmental science, engineering & technology 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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009689920006719