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Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
| Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems |
| Autore | Kim Jong-Suk |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (180 p.) |
| Soggetto topico |
Meteorology and climatology
Research and information: general |
| Soggetto non controllato |
artificial neural network
Bangladesh Bayesian approach China climate change climate variability climatic variables copula function decision tree deep learning dengue fever depth-averaged temperature drought drought duration drought severity extreme El Niño event flood risk influence of rainfall characteristics inland-river combined flood system land-ocean temperature contrast/meridional temperature gradient layers lifetime maximum intensity LSTM meteorological extremes neurons nonstationarity quantile delta mapping rainfall ranges of flood sizes reanalysis products reference evapotranspiration seasonality South Korea specific flood distributions standardized precipitation evapotranspiration index temperature tropical cyclone tropical cyclone-induced precipitation ungauged watersheds urban flood forecasting and warning vector wind speed |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470503321 |
Kim Jong-Suk
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Land Degradation Assessment with Earth Observation
| Land Degradation Assessment with Earth Observation |
| Autore | Symeonakis Elias |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (368 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Amu Darya delta (ADD)
archetypes arid and semi-arid areas aridity index AVHRR bfast BFAST Botswana breakpoint analysis breakpoints and timeseries analysis browning central Asia developing countries drivers drought drought adaptation drought impacts drought index drought vulnerability Earth observation East Africa ecosystem structural change Gaofen satellite GEE geographically weighted regression (GWR) Google Earth Engine greenhouse gas emissions greening gully mapping high temporal resolution irrigated systems Kenya Kobresia pygmaea community Kyrgyzstan land cover land degradation land degradation neutrality land productivity land surface phenology land use land use-land cover Landsat Landsat time series analysis machine learning Mann-Kendall mining development MODIS monitoring and reporting n/a NDVI Niger River basin Nigeria Normalised Difference Vegetation Index (NDVI) pastures precipitation random forest REDD+ reference levels remote sensing remote sensing index RWEQ salinity index salinization salinized land degradation index (SDI) satellite imagery satellite-based aridity index savannah SDG self-organizing maps semi-arid areas semi-arid environment Sen's slope Sentinel-1 Sentinel-2 Sentinel-2 images shrub encroachment slangbos Soil Adjusted Vegetation Index (SAVI) soil organic carbon South Africa spatial distribution spatial heterogeneity spatial-temporal variation standardized precipitation evapotranspiration index support vector machines sustainable land management programmes Synthetic Aperture Radar (SAR) TI-NDVI time series trend analysis Uganda unmanned aerial vehicle Vegetation Condition Index (VCI) vegetation index vegetation resilience vegetation trends vegetation-precipitation relationship wind erosion modeling Xishuangbanna |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873503321 |
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Symeonakis Elias
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
| The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| Autore | Kim Tae-Woong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ARIMA model
artificial neural network assessment atmospheric teleconnection patterns bivariate frequency analysis China climate change climate variability comprehensive drought monitoring drought drought forecasting drought prediction drought return period drought risk extreme drought extreme spring drought forecasting GAMLSS global warming Hubei Province human activities hydrologic risk Indian Ocean Dipole Indochina Peninsula intentionally biased bootstrap method maize yield meteorological drought multisource data multivariate nonstationarity quantitative attribution reference period reference precipitation seasonal drought Songliao Plain maize belt southern Taiwan SPI standardized precipitation evapotranspiration index stochastic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557738803321 |
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Kim Tae-Woong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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