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2023, Journal of the Indian Society of Remote Sensing
Climate change does not occur in the same way worldwide; its effects display regional differences. Some regions with unique characteristics may experience dramatic changes, leading to significant indications for the global climate. The Siberian high, a system of high atmospheric pressure, is formed on the Central Siberian Plateau, affecting a significant part of the northern hemisphere from November to February. Climate changes in this region have significant influences on the global climate cycle. Hence, determining the temperature trends of this region will yield key indicators for climate change studies. Remote sensing provides useful databases for climate change studies, surface temperatures, temporal and spatial resolutions, and numerous advantages. In the present study, we aimed to determine the temporal and spatial surface temperature trends of the Central Siberian Plateau. As our data source, we used MODIS (Aqua and Terra) satellite images for 8 days between 2002- and 2021. The measurements from the region were arranged as monthly and annual values, presented as mean, minimum, maximum, and standard deviation. Then, using these data, we obtained the mean values for the region and performed Mann–Kendall trend analyses. Accordingly, there was an overall increase of more than 2 C in the study area. We performed a pixel-based Mann–Kendall trend test to reveal the mean annual temperatures and detect local changes. Our findings showed significant rises in temperature in the northern part of the study area.
Environmental Research Letters, 2021
Arctic surface temperature has increased at approximately twice the global rate over the past few decades and is also projected to warm most in the 21st century. However, the mechanism of Arctic vegetation response to this warming remains largely uncertain. Here, we analyse variations in the seasonal profiles of MODerate resolution Imaging Spectroradiometer Leaf Area Index (LAI) and ERA-interim cumulative near-Surface Air Temperature (SATΣ) over the northern Russia, north of 60° N for 2000–2019. We find that commonly used broad temporal interval (seasonal) trends cannot fully represent complex interannual variations of the LAI profile over the growing season. A sequence of narrow temporal interval (weekly) LAI trends form an inverted S-shape over the course of the growing season with enhanced green-up and senescence, but balanced during the growing season’s peak. Spatial patterns of weekly LAI trends match with those of weekly SATΣ trends during the green-up, while the drivers of th...
Understanding the warming trends at local level is critical; and, the development of relevant adaptation and mitigation policies at those levels are quite challenging. Here, our overall goal was to generate local warming trend map at 1 km spatial resolution by using: (i) Moderate Resolution Imaging Spectroradiometer (MODIS)-based 8-day composite surface temperature data; (ii) weather station-based yearly average air temperature data; and (iii) air temperature normal (i.e., 30 year average) data over the Canadian province of Alberta during the period 1961–2010. Thus, we analysed the station-based air temperature data in generating relationships between air temperature normal and yearly average air temperature in order to facilitate the selection of year-specific MODIS-based surface temperature data. These MODIS data in conjunction with weather station-based air temperature normal data were then used to model local warming trends. We observed that almost 88% areas of the province experienced warming trends (i.e., up to 1.5˚C). The study concluded that remote sensing technology could be useful for delineating generic trends associated with local warming.
Remote Sensing
Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications of LST in the context of global change. By filtering a selection of relevant keywords, a total of 164 articles from 14 international journals published during the last two decades were analyzed based on study location, research topic, applied sensor, spatio-temporal resolution and scale and employed analysis methods. It was revealed that China and the USA were the most studied countries and those that had the most first author affiliations. The most prominent research topic was the Surface Urban Heat Island (SUHI), while the research topics related to climate change were underrepresented. MODIS was by far the most used sensor system, followed by Landsat. A relatively small number of studies analyzed LST dynamics on a global or continental scale. The extensive use of MODIS highly determined the stu...
Climate change in Siberia and more generally in high latitudes, is impacting strongly the environment and the societies. If the present climate warming evolves as projected, these impacts are likely to increase, greatly affecting ecosystems, cultures, lifestyles and economies. The CLASSIQUE French research project is focused on these questions, with a special attention to land cover evolution, forest vulnerability and permafrost reduction in Siberia. It mobilizes climatologists, hydrologists, agronomists, demographers, geographers and specialists of scientific mediation in a trans-disciplinary effort to better quantify (1) future changes of climate and vegetation properties in Siberia; (2) the consecutive evolution of the agricultural potential of the region; (3) the demographic and societal effects of these changes; and (4) the interactions and feedbacks induced. The chosen approach aims to develop integrated models able to predict the evolution of land cover and hydrology and the ...
Remote Sensing of Environment, 2023
The Tibetan Plateau (TP) is the highest plateau in the world, which imposes the intense thermal and dynamical forcings on the atmosphere and then impacts the climate in its surroundings. The TP has been undergoing a rapid warming, which accelerates glacial melting, and causes more natural hazards. Although the warming on the TP has been widely investigated, there is no complete picture of its thermal status during the past decades for lack of high-quality, long-term, spatiotemporal-continuous observations. The number of weather stations are rather limited and are mainly located in the east of the TP. The analysis based on these stations is confronted with the spatial representativeness problem. On the other hand, Satellites can monitor the earth seamlessly in space and time, but reliable land surface temperatures (LSTs) have only been available in recent 20 years, and moreover their physical meaning also differs from that of the most commonly used surface air temperatures (SATs). For climate change research, the period length of these satellite LSTs is too short to obtain a definitive conclusion. In this study, the entire algorithm consists of two primary steps. One is to develop an stacking-based ensemble learning algorithm to convert LSTs to SATs with the random forest model as both base learner and meta learner. The other is to construct a Bayesian-based temporal extension algorithm to merge satellite SATs and station SATs to obtain long-term, spatiotemporal-continuous SATs. After validating the reliability of these SATs and the warming trends based on them, 60 years (1961-2020) of SATs on the TP are implemented to examine the warming status of the TP. The spatial pattern of temperature trends illustrates that the warming occurs almost everywhere on the TP, and lots of areas with intensive warming, cannot be detected only based on station observations , especially in the western part of the TP. Similarly, ERA5-Land and CRU datasets underestimate the warming in these areas. The newly-derived warming rate arrives at 0.03 • C/year and is 50% greater than those computed based on ERA5-Land and CRU dataset, implying an unexpected severe threat to the cryosphere.
International Journal of Applied Earth Observation and Geoinformation, 2012
Climate Dynamics, 2012
Environmental Research Letters, 2012
Springer Environmental Science and Engineering, 2012
Arheologia trecerii de la epoca târzie a fierului la epoca romană în Dacia. contacte și conflicte în secolele I – II p. Chr., 2022
The recent discovery of two Almgren 69 type fibulae at the Mîrzoaia site (Nisporeni district, Republic of Moldova), gives us the opportunity to return to the discussion regarding a category of clothing accessories, which is quite widespread in Central and South-Eastern Europe during the second half of the 1st c. AD – beginning of the 2nd c. AD. They are a valuable class of objects for dating Early Roman period sites. With this occasion we will report on all the brooches of this type discovered in the Prut-Dniester area, while also reviewing the known discoveries from Romania and Ukraine. For the most accurate chronological framing of the fibulae on the one hand we will contextualize the fibulae and the associated material in the finding complexes and, on the other hand, we will refer to the opinion of several specialists in the field starting with Almgren, Rustoiu, Cociș and others and ending with Hellström's 2018 paper. Another aspect we will refer to is the presence of the sedentary population in the Prut-Dniestr area during the Early Roman Age. As evidenced by the archaeological investigations conducted to date, sites that may be ascribed to sedentary populations are practically absent from the Prut-Dniester forest steppe during the period comprised between late 1st century BC and first half of the 3rd century AD. Only a few archaeological sites that could be attributed to these communities are known so far. They include the sites of Rudi-La Șanțuri, Pruteni and most recently – that from Lipoveni. This serves as an antithesis to the idea that the Prut-Dniestr space was populated only by the so-called Sarmatians. As far as we are concerned, we consider that both the old discoveries and the more recent - those at Lipoveni and Mîrzoaia - are such as to make us more and more reserved about this assumption.
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