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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 |
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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Remote Sensing of Land Surface Phenology
| Remote Sensing of Land Surface Phenology |
| Autore | Ma Xuanlong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
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 |
| ISBN | 3-0365-5326-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465703321 |
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Ma Xuanlong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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