Retrieval Consistency between LST CCI Satellite Data Products over Europe and Africa

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(13), P. 3281 - 3281

Published: June 26, 2023

The assessment of satellite-derived land surface temperature (LST) data is essential to ensure their high quality for climate applications and research. This study intercompared seven LST products (i.e., ATSR_3, MODISA, MODIST, SLSTRA, SLSTRB, SEVIR2 SEVIR4) the European Space Agency’s (ESA) Climate Change Initiative (LST_cci) project, which are retrieved polar geostationary orbit satellites, three operational products: NASA’s MODIS MOD11/MYD11 ESA’s AATSR LST. All were re-gridded on a common spatial grid 0.05° matched concurrent overpasses within 5 min. analysed over Europe Africa monthly seasonally aggregated median differences studied dependence cover class satellite viewing geometry. For most sets, results showed an overall agreement ±2 K robust standard deviation (RSD). A seasonal variation between sensor was observed Europe, higher in summer lower winter. Over all classes, about 2 colder than LST_cci sets. No different covers, but larger sets seen bare soil classes. Regarding geometry, asymmetric increase with respect nadir view day-time data, mainly caused by shadow effects. night-time these symmetric considerably smaller. Overall, despite retrieval algorithms good consistency determined.

Language: Английский

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Spatial and Temporal Variation of Urban Heat Islands in French Guiana

Sensors, Journal Year: 2024, Volume and Issue: 24(6), P. 1931 - 1931

Published: March 18, 2024

A surface urban heat island (SUHI) is a phenomenon whereby temperatures in areas are significantly higher than that of surrounding rural and natural due to replacing semi-natural with impervious surfaces. The evaluated through the SUHI intensity, which difference between non-urban areas. In this study, we assessed spatial temporal dynamics two French Guiana, namely Ile de Cayenne Saint-Laurent du Maroni, for year 2020 using MODIS-based gap-filled LST data. Our results show north southwest Cayenne, where there high concentration build-up areas, were experiencing compared rest region. Furthermore, northeast west Maroni also hotspots phenomenon. We further observed peak intensity could reach 5 °C both during dry season when temperature limited rainfall. This study sets stage future studies Guiana aims contribute knowledge needed by decision-makers achieve sustainable urbanization.

Language: Английский

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Multi-city analysis of satellite surface temperature compared to crowdsourced air temperature

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(12), P. 124063 - 124063

Published: Nov. 22, 2024

Abstract Many urban heat studies have been conducted on a city-by-city basis, primarily focusing summer days, overlooking the broader impact of background climate, seasonality, and diurnal cycle. Moreover, in some cities where there is lack observational data air temperature ( T ), has reliance satellite-based land surface (LST) to explore predict changes near-surface thermal environments. However, it still unclear how applicable LST for exploring temporal spatial variation across different seasons climates. To address these shortcomings, we used high-density crowdsourced observations satellite imagery characterise variability city-wide compare with 55 populated cities. Cities were selected according number measurements, percentage clear sky pixels global coverage. Results show that trends agree more closely at night compared daytime. During day, agreement greater winter, especially colder While intra-urban distribution does not align , city-average values are highly correlated. strength this correlation differs by season time day further influenced climate. If focus, can be as an indicator variations over time, particularly night. also winter days temperate cold its application daytime requires caution, arid These findings provide new insights into satellite-derived variability.

Language: Английский

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A Multi-Layer Perceptron Approach to Downscaling Geostationary Land Surface Temperature in Urban Areas

Remote Sensing, Journal Year: 2024, Volume and Issue: 17(1), P. 45 - 45

Published: Dec. 27, 2024

Remote sensing of land surface temperature (LST) is a fundamental variable in analyzing variability urban areas. Geostationary sensors provide sufficient observations throughout the day for diurnal analysis temperature, however, lack spatial resolution needed highly heterogeneous areas such as cities. Polar orbiting have advantage higher resolution, enabling better characterization while only providing one to two per day. This work aims at using multi-layer perceptron-based method downscale geostationary-derived LST based on polar-orbit-derived one. The model trained pixel-by-pixel basis, which reduces complexity requiring fewer auxiliary data characterize conditions. Results show that able successfully city Madrid, from approximately 4.5 km 750 m. Performance metrics between training and validation datasets no overfitting. was applied different time period compared derived three additional sensors, were not used any stage process, yielding R2 0.99, root mean square errors 1.45 1.58 absolute ranging 1.07 1.15. downscaled shown improve representation both temporal heterogeneity when geostationary- individually. resulting take high observation frequency geostationary data, combined with polar may be added value study seasonal patterns environments.

Language: Английский

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Potential of the satellite-based Dynamic Habitat Index (DHI) to capture changes in soil properties and drought conditions across Land Use/Land Cover types in a Central European landscape

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Dec. 8, 2023

Land Use/Land Cover (LULC) maps deliver essential information on landscape structure and functions, but such are usually considered static, more progress is needed towards dynamic LULC products. The Dynamic Habitat Index (DHI), for example, has revealed high potential in biodiversity studies, its capability to capture the variability of different types under differing environmental conditions, which turn affect biodiversity, underexplored. In this study, we used NDVI products Copernicus Global Service test if DHIs sensitive changing conditions across over a 4-year period (2017–2020) central European Germany. We found that (1) all had distinct DHI characteristics, (2) components responded an extreme drought year 2018 with no return pre-drought except deciduous forests, captured spatio-temporal pedo-climatic conditions. Thus, Integrated ancillary geodata it could add continuous quantitative component common categorical broad application ecosystem research. Such integrated serve as valuable tools decision makers formulate sustainable land management strategies contribute Sustainable Develop Goal (SDG) indicators related degradation, e.g. by identifying deviations from typical profiles given context response disturbance stress.

Language: Английский

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