Mapping local climate zones and their applications in European urban environments: A systematic literature review and future development trends
In the light of climate change and burgeoning urbanization, heat loads in urban areas have
emerged as serious issues, affecting the well-being of the population and the environment …
emerged as serious issues, affecting the well-being of the population and the environment …
Inter-/intra-zonal seasonal variability of the surface urban heat island based on local climate zones in three central European cities
This study analyzes inter-and intra-zonal seasonal variability of surface urban heat islands
(SUHIs) within the methodological framework of local climate zones (LCZs) in three central …
(SUHIs) within the methodological framework of local climate zones (LCZs) in three central …
[HTML][HTML] Application of maximum entropy for mineral prospectivity mapping in heavily vegetated areas of Greater Kurile Chain with Landsat 8 data
S Shevyrev, EJM Carranza - Ore geology reviews, 2022 - Elsevier
Exploration for strategic mineral resources, like precious metals, in remote areas of the
Greater Kurile Chain is challenging. Climate and weather conditions, dissected relief, soil …
Greater Kurile Chain is challenging. Climate and weather conditions, dissected relief, soil …
Estimating VAIA windstorm damaged forest area in Italy using time series Sentinel-2 imagery and continuous change detection algorithms
F Giannetti, M Pecchi, D Travaglini, S Francini… - Forests, 2021 - mdpi.com
Mapping forest disturbances is an essential component of forest monitoring systems both to
support local decisions and for international reporting. Between the 28 and 29 October …
support local decisions and for international reporting. Between the 28 and 29 October …
Monitoring Annual Land Use/Land Cover Change in the Tucson Metropolitan Area with Google Earth Engine (1986–2020)
F Dubertret, FM Le Tourneau, ML Villarreal… - Remote Sensing, 2022 - mdpi.com
The Tucson metropolitan area, located in the Sonoran Desert of southeastern Arizona
(USA), is affected by both massive population growth and rapid climate change, resulting in …
(USA), is affected by both massive population growth and rapid climate change, resulting in …
[HTML][HTML] Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics
Many studies have shown that high elevation environments are among very sensitive to
climatic changes and where impacts are exacerbated. Across Central Asia, which is …
climatic changes and where impacts are exacerbated. Across Central Asia, which is …
Qualitative and quantitative analysis of topographically derived CVA algorithms using MODIS and Landsat-8 data over Western Himalayas, India
The change detection via remote sensing offers a cost-effective solution to monitor the earth
surface variations and manage natural resources. Change vector analysis (CVA) is one of …
surface variations and manage natural resources. Change vector analysis (CVA) is one of …
Evaluation of unsupervised change detection methods applied to landslide inventory mapping using ASTER imagery
RN Ramos-Bernal, R Vázquez-Jiménez… - Remote Sensing, 2018 - mdpi.com
Natural hazards include a wide range of high-impact phenomena that affect socioeconomic
and natural systems. Landslides are a natural hazard whose destructive power has caused …
and natural systems. Landslides are a natural hazard whose destructive power has caused …
Evaluation and intercomparison of topographic correction methods based on Landsat images and simulated data
Topographic effects in medium and high spatial resolution remote sensing images greatly
limit the application of quantitative parameter retrieval and analysis in mountainous areas …
limit the application of quantitative parameter retrieval and analysis in mountainous areas …
The effect of topographic correction on forest tree species classification accuracy
C Dong, G Zhao, Y Meng, B Li, B Peng - Remote Sensing, 2020 - mdpi.com
Topographic correction can reduce the influences of topographic factors and improve the
accuracy of forest tree species classification when using remote-sensing data to investigate …
accuracy of forest tree species classification when using remote-sensing data to investigate …