Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Nikos, Koutsias"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103547- (2023)
Extreme wildfires are a major agent of disturbance in present-day forest ecosystems and, have serious impacts on society in terms of human casualties and economic losses. Prioritizing and implementing relief and recovery measures after fires require
Externí odkaz:
https://doaj.org/article/fa6bd104ec21488db3908d22e84b0c58
Autor:
Jofre Carnicer, Andrés Alegria, Christos Giannakopoulos, Francesca Di Giuseppe, Anna Karali, Nikos Koutsias, Piero Lionello, Mark Parrington, Claudia Vitolo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-6 (2022)
Abstract Fire activity has significantly changed in Europe over the last decades (1980–2020s), with the emergence of summers attaining unprecedented fire prone weather conditions. Here we report a significant shift in the non-stationary relationshi
Externí odkaz:
https://doaj.org/article/f94febee10534b2d98517d63ad0f04fa
Autor:
Eleni Papadopoulou, Giorgos Mallinis, Sofia Siachalou, Nikos Koutsias, Athanasios C. Thanopoulos, Georgios Tsaklidis
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4657 (2023)
The images of the Sentinel-2 constellation can help the verification process of farmers’ declarations, providing, among other things, accurate spatial explicit maps of the agricultural land cover. The aim of the study is to design, develop, and eva
Externí odkaz:
https://doaj.org/article/7b9197e1eb18490cac9bee029a549e4e
Autor:
Nikos Koutsias, Magdalini Pleniou
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 11, Pp 1602-1623 (2021)
At local or regional scales, where Landsat has been extensively applied to monitor burned areas, semi- or fully automated methods are not very common. Koutsias et al. ([2013]. “A Rule-Based Semi-Automatic Method to map Burned Areas: Exploring the U
Externí odkaz:
https://doaj.org/article/c90e9759ce954d1a9f1f99baa9a759fd
Publikováno v:
Fire, Vol 6, Iss 5, p 198 (2023)
Wildfires are key drivers of land use/land cover (LULC) dynamics by burning vegetation and affecting human infrastructure. On the contrary, LULC changes (LULCCs) may affect the fire regime by influencing vegetation type, burnable areas, fuel loads an
Externí odkaz:
https://doaj.org/article/ccec3ed983b64340b1ffb0c06263cc6f
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5237 (2022)
Forest fires are considered to be an important part of numerous terrestrial ecosystems and vegetation types, being also a significant factor of ecosystem disruption. In this sense, fires play an important role in the structure and function of the eco
Externí odkaz:
https://doaj.org/article/b6402ceaf0304a9598b0e996b57768b2
Publikováno v:
Fire, Vol 5, Iss 5, p 141 (2022)
Fire is a recurrent disturbance in Mediterranean ecosystems. Data assemblage from forest fire services can provide useful information for understanding climate controls on daily fire hazard or long term trends. Located at the driest range of the Medi
Externí odkaz:
https://doaj.org/article/22d0195dde994c52a4b3c1844ae5164c
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5149 (2021)
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total Water Storage Anomaly (TWSA) data is described, exploiting the observations of precipitation from the Global Precipitation Measurement (GPM) mission,
Externí odkaz:
https://doaj.org/article/261e518ad0644fac8c7b3c5321484f31
Wildfires play a fundamental role in Land Use/Land Cover (LULC) change dynamics by burning vegetation in forested and rural areas and by affecting human infrastructures. Conversely, LULC can disturb fire regime by altering vegetation cover, condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bfca9bd1fb613231184e3fee07e2541
https://doi.org/10.5194/egusphere-egu23-5159
https://doi.org/10.5194/egusphere-egu23-5159
Autor:
Spyridon E. Detsikas, George P. Petropoulos, Nikos Koutsias, Dionisios Gasparatos, Vasilis Pisinaras, Heye Bogena, Frank Wendland, Frank Herrmann, Andreas Panagopoulos
Obtaining Soil Moisture Content (SMC) over large scales is of key importance in several environmental and agricultural applications especially in the context of climate change and transition to digital farming. Remote sensing (RS) has a demonstrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8bd9ab2476d691451d4dd9f9e9cd474
https://doi.org/10.5194/egusphere-egu23-5175
https://doi.org/10.5194/egusphere-egu23-5175