Progress in the remote sensing monitoring of the ecological environment in mining areas

W Song, W Song, H Gu, F Li - International Journal of Environmental …, 2020 - mdpi.com
Based on the results of an extensive literature research, we summarize the research
progress of remote sensing monitoring in terms of identifying mining area boundaries and …

Comparison of support vector machine and random forest algorithms for invasive and expansive species classification using airborne hyperspectral data

A Sabat-Tomala, E Raczko, B Zagajewski - Remote Sensing, 2020 - mdpi.com
Invasive and expansive plant species are considered a threat to natural biodiversity
because of their high adaptability and low habitat requirements. Species investigated in this …

Comparison of support vector machines and random forests for corine land cover map**

A Dabija, M Kluczek, B Zagajewski, E Raczko… - Remote Sensing, 2021 - mdpi.com
Land cover information is essential in European Union spatial management, particularly that
of invasive species, natural habitats, urbanization, and deforestation; therefore, the need for …

Comparison of random forest, support vector machines, and neural networks for post-disaster forest species map** of the krkonoše/karkonosze transboundary …

B Zagajewski, M Kluczek, E Raczko, A Njegovec… - Remote Sensing, 2021 - mdpi.com
Mountain forests are exposed to extreme conditions (eg, strong winds and intense solar
radiation) and various types of damage by insects such as bark beetles, which makes them …

The impact of spatial resolution on the classification of vegetation types in highly fragmented planting areas based on unmanned aerial vehicle hyperspectral images

M Liu, T Yu, X Gu, Z Sun, J Yang, Z Zhang, X Mi… - Remote Sensing, 2020 - mdpi.com
Fine classification of vegetation types has always been the focus and difficulty in the
application field of remote sensing. Unmanned Aerial Vehicle (UAV) sensors and platforms …

Classification of expansive grassland species in different growth stages based on hyperspectral and LiDAR data

A Marcinkowska-Ochtyra, A Jarocińska, K Bzdęga… - Remote Sensing, 2018 - mdpi.com
Expansive species classification with remote sensing techniques offers great support for
botanical field works aimed at detection of their distribution within areas of conservation …

Airborne HySpex hyperspectral versus multitemporal Sentinel-2 images for mountain plant communities map**

M Kluczek, B Zagajewski, M Kycko - Remote Sensing, 2022 - mdpi.com
Climate change and anthropopression significantly impact plant communities by leading to
the spread of expansive and alien invasive plants, thus reducing their biodiversity. Due to …

[HTML][HTML] Identifying and Monitoring Gardens in Urban Areas Using Aerial and Satellite Imagery

F Arabi Aliabad, H Ghafarian Malamiri, A Sarsangi… - Remote Sensing, 2023 - mdpi.com
In dry regions, gardens and trees within the urban space are of considerable significance.
These gardens are facing harsh weather conditions and environmental stresses; on the …

Assessment of Sentinel-2 images, support vector machines and change detection algorithms for bark beetle outbreaks map** in the Tatra mountains

R Migas-Mazur, M Kycko, T Zwijacz-Kozica… - Remote sensing, 2021 - mdpi.com
Cambiophagous insects, fires and windthrow cause significant forest disturbances,
generating ecological changes and economical losses. The bark beetle (Ips typographus …

Multi-temporal sentinel-2 data in classification of mountain vegetation

M Wakulińska, A Marcinkowska-Ochtyra - Remote Sensing, 2020 - mdpi.com
The electromagnetic spectrum registered via satellite remote sensing methods became a
popular data source that can enrich traditional methods of vegetation monitoring. The …