Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Afforestation and Reforestation: Drivers, Dynamics, and Impacts
| Afforestation and Reforestation: Drivers, Dynamics, and Impacts |
| Autore | Sun Ge |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto non controllato |
simulation modeling
shear strength stand structure vegetation restoration surface runoff soil and water conservation function soil enzymes riverbank evapotranspiration human activity afforestation Artemisia ordosica forest cover precipitation variation soil bioengineering base flow Poyang Lake Basin in situ calibration quantification chlorophyll fluorescence photoprotection remote sensing root distribution ecosystem model CASA afforestation ecosystem phenophase vegetation cover change soil characteristics Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations composted pine bark water-energy balance sediment load soil respiration energy partitioning soil microbial biomass transpiration net primary productivity spatio-temporal scales seedling quality peat moss fresh pine sawdust understory plants ring-porous trees different climatic conditions dye tests structural equation model Loess Plateau evapotranspiration (ET) Pinus engelmannii Carr empirical statistics heat dissipation probes MODIS slope change ratio of cumulative quantities (SCRCQ) soil water balance LAI climate fluctuation BTOPMC model living brush mattress vegetation greening streamflow |
| ISBN | 3-03921-448-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Afforestation and Reforestation |
| Record Nr. | UNINA-9910367752403321 |
Sun Ge
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing in Hydrology and Water Resources Management
| Remote Sensing in Hydrology and Water Resources Management |
| Autore | Duan Weili |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (487 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
precipitation datasets
evaluation spatial scale temporal scale climate Yellow River Basin data assimilation WRF WRFDA 3DVar water levels surface areas volume variations hypsometry bathymetry lakes reservoirs remote sensing DAHITI modified strahler approach airborne LiDAR DEM flood inundation flood map flood model LiDAR terrestrial LiDAR evapotranspiration variability uncertainty unmanned aerial system sUAS multispectral viticulture water resources management California lake Tibetan Plateau hydrological changes water balance Chindwin basin hydrological modelling multi-variable calibration satellite-based rainfall product TRMM temporal resolution rainfall erosivity combined approach multi-objective optimization modeling uncertainty model constraint SWAT semiarid area hydrological variations normalized difference vegetation index total water storage change groundwater change extreme precipitation estimation TMPA 3B42-V7 regional frequency analysis China satellite datasets accuracy evaluation hydrological applicability Bosten Lake Basin actual evapotranspiration available water resources climate change vegetation greening VIP-RS model Lancang-Mekong river basin MSWEP AgMERRA APHRODITE CHIRPS PERSIANN error correction agricultural water management crop water consumption remote sensing model evapotranspiration allocation inland water IWCT Tianjin Landsat data Tarim River Basin desert-oasis ecotone land-use change CA-Markov model remote sensing in hydrology precipitation performance evaluation GPM Poyang Lake Yangtze River assimilation nonparametric modeling multi-source landscape pattern spatiotemporal changes influencing factors watershed China SE satellite data LUE-GPP SPEI copula function conditional probability soil moisture neural network downscaling microwave data MODIS data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557632803321 |
|
Duan Weili
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||