Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Alexandra Gemitzi"'
Autor:
Amirhossein Ahrari, Kedar Ghag, Syed Mustafa, Anandharuban Panchanathan, Alexandra Gemitzi, Mourad Oussalah, Björn Klöve, Ali Torabi Haghighi
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100485- (2024)
Understanding the impact of Climate Variability (CV) on crop yield is crucial for developing sustainable agriculture practices, especially in regions vulnerable to climate change. This study aims to identify the causes of the observed decline in pota
Externí odkaz:
https://doaj.org/article/4c9ea5a47ed54501ae3c537e0483b7b0
Publikováno v:
Land, Vol 13, Iss 7, p 987 (2024)
Carrying capacity for development refers to the maximum level of economic and social growth that an environment can support without experiencing significant degradation or collapse. This concept integrates environmental and socioeconomic dimensions t
Externí odkaz:
https://doaj.org/article/416a07c2a21b411684ce52f913b0e0b3
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1816 (2024)
Wildfires in Mediterranean areas are becoming more frequent, and the fire season is extending toward the spring and autumn months. These alarming findings indicate an urgent need to develop fire susceptibility methods capable of identifying areas vul
Externí odkaz:
https://doaj.org/article/8e24ca83896149f9b07d114d5c4cb6c3
Publikováno v:
Ecological Indicators, Vol 153, Iss , Pp 110414- (2023)
Landscape transitions in the Nile River basin will likely accelerate over the next decades due to socioeconomic developments and climate change. However, the assessments of land use/land cover (LULC) changes and their impact on the water resources ov
Externí odkaz:
https://doaj.org/article/24ec1939b807427f9bd9c0f6f34ff4d2
Autor:
Konstantinos Kourtidis, Apostolos Tzivleris, Stavros Stathopoulos, Alexandra Gemitzi, Aristeidis K. Georgoulias
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 39 (2023)
We examine the atmospheric concentrations of methane (CH4) over the Greater Thessaloniki Area using data from the periods 2003–2004 and 2018–2022. Earlier data are from SCIAMACHY on ENVISAT, while the later years are from TROPOMI on Sentinel 5P.
Externí odkaz:
https://doaj.org/article/2328318f3bf0417c946a760374a444f4
Autor:
Maria Kofidou, Alexandra Gemitzi
Publikováno v:
Hydrology, Vol 10, Iss 8, p 176 (2023)
The present work aims to highlight the possibility of improving model performance by assimilating soil moisture information in the calibration and validation process. The Soil and Water Assessment Tool (SWAT) within QGIS, i.e., QSWAT, was used to sim
Externí odkaz:
https://doaj.org/article/f21dea5e60a94f9b9a166abf8e24ca9d
Autor:
Alexandra Gemitzi
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 3, Pp 425-441 (2021)
Land change modeling (LCM) is a complex GIS procedure aiming at predicting land cover changes in the future, contributing thus to the design of interventions that help maintain ecosystem services and mitigate climate change impacts. In the present wo
Externí odkaz:
https://doaj.org/article/0d6bd5ba889a44359b4635ec5d714584
Autor:
Margarita Bachantourian, Kyriakos Chaleplis, Alexandra Gemitzi, Kostas Kalabokidis, Palaiologos Palaiologou, Christos Vasilakos
Publikováno v:
Land, Vol 11, Iss 9, p 1453 (2022)
Land cover can reflect global environmental changes if their associated transitions are quantitatively and correctly analysed, thus helping to assess the drivers and impacts of climate change and other applied research studies. It is highly important
Externí odkaz:
https://doaj.org/article/7305a4a44d9e40929d640fe494b8cc02
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 96, Iss , Pp 102283- (2021)
The potential to map geothermal anomalies using remote sensing information has attracted recently much research, reflecting thus the increasing interest for renewable energy resources. Aim of the present work is to highlight areas with geothermal ano
Externí odkaz:
https://doaj.org/article/ba635723a4ad40cfb43f8699801119a6
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