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1 Ergebnisse
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Risk Assessment of Rising Temperatures Using Landsat 4–9 LS..:
Tommaso Orusa
;
Annalisa Viani
;
Boineelo Moyo
..
Environmental Remote Sensing. , 2023
Link:
https://doi.org/10.3390/rs15092348
RT Journal T1
Risk Assessment of Rising Temperatures Using Landsat 4–9 LST Time Series and Meta® Population Dataset: An Application in Aosta Valley, NW Italy
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2072-4292_15_9_2348_&Exemplar=1&LAN=DE A1 Tommaso Orusa A1 Annalisa Viani A1 Boineelo Moyo A1 Duke Cammareri A1 Enrico Borgogno-Mondino PB Multidisciplinary Digital Publishing Institute YR 2023 K1 Google Earth Engine K1 USGS NASA Landsat 4–9 missions K1 LST timeseries analysis K1 risk population assessment K1 HDX meta population K1 trends modeling K1 Aosta Valley K1 Italy K1 Alps K1 climate change JF Environmental Remote Sensing LK http://dx.doi.org/https://doi.org/10.3390/rs15092348 DO https://doi.org/10.3390/rs15092348 SF ELIB - SuUB Bremen
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