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 |
Symeonakis Elias
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 online resource (276 p.) |
| Soggetto topico |
Environmental science, engineering and technology
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
arctic
autumn phenology carbon cycle carbon exchange climate change climate changes climatic limitation contribution crop sowing date data suitability development stage different drivers digital camera driving factors enhanced vegetation index evapotranspiration Google Earth Engine GPP gross primary production Hangzhou high elevation human activities land surface phenology land surface temperature MODIS Mongolian oak n/a NDPI NDVI Northeast China phenology photosynthesis plant phenology process-based model Qilian Mountains Qinghai-Tibetan Plateau random forest model remote sensing sap flow satellite data seasonally dry tropical forest snow cover snow phenology soil moisture solar-induced chlorophyll fluorescence spatial scaling effects spatiotemporal dynamics spatiotemporal patterns spatiotemporal variations structural equation model the Loess Plateau Three-River Headwaters region turning point urban heat island effect urbanization vegetation dynamics vegetation indexes vegetation phenology water use efficiency yield gap yield potential |
| ISBN | 3-0365-5326-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465703321 |
Ma Xuanlong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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