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