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Record Nr. |
UNIORUON00114317 |
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Autore |
SHES rab rgyal mtshan, 25th rJe mKhan chen |
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Titolo |
rJe btsun dpal ldan bla ma dam pa'i rtogs pa skal bzang dad pa'i 'dod 'jo dpag bsam yongs 'du'i 'khri shing = A detailed biography of the 16th rJe mKhan chen of Bhutan Shes rab seng ge / by the 25th rJe mKhan chen Shes rab rgyal mtshan |
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Pubbl/distr/stampa |
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Edizione |
[Thimphu : Kunsang Topgay] |
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Descrizione fisica |
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Reproduced from a rare manuscript from Nalendra Monastery in Bhutan |
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Classificazione |
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Soggetti |
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BUDDHISMO - BHUTAN - MAESTRI - BIOGRAFIE |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910367563203321 |
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Autore |
Fang Hongliang |
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Titolo |
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
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Basel, Switzerland : , : MDPI, , 2019 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (334 p.) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Monitoring of vegetation structure and functioning is critical to modeling terrestrial ecosystems and energy cycles. In particular, leaf area index (LAI) is an important structural property of vegetation used in many land surface vegetation, climate, and crop production models. Canopy structure (LAI, fCover, plant height, and biomass) and biochemical parameters (leaf pigmentation and water content) directly influence the radiative transfer process of sunlight in vegetation, determining the amount of radiation measured by passive sensors in the visible and infrared portions of the electromagnetic spectrum. Optical remote sensing (RS) methods build relationships exploiting in situ measurements and/or as outputs of physical canopy radiative transfer models. The increased availability of passive (radar and LiDAR) RS data has fostered their use in many applications for the analysis of land surface properties and processes, thanks also to their insensitivity to weather conditions and the capability to exploit rich structural and textural information. Data fusion and multi-sensor integration techniques are pressing topics to fully exploit the information conveyed by both optical and microwave bands. |
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