Combining multitemporal optical and radar satellite data for map** the Tatra mountains non-forest plant communities

M Kluczek, B Zagajewski, M Kycko - Remote Sensing, 2024 - mdpi.com
Climate change is significantly affecting mountain plant communities, causing dynamic
alterations in species composition as well as spatial distribution. This raises the need for …

Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European …

L Kupková, L Červená, M Potůčková, J Lysák… - Remote Sensing of …, 2023 - Elsevier
The reliability of remote sensing technology is essential for its efficient operational
applications in nature conservation practices. In our study, multi-temporal, multispectral, and …

[HTML][HTML] 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] 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 …

Polarimetric decomposition methods for LULC map** using ALOS L-band PolSAR data in Western parts of Mizoram, Northeast India

BR Parida, SP Mandal - SN Applied Sciences, 2020 - Springer
The rapid advancement of remote sensing and availability of polarimetric SAR (PolSAR)
data have facilitated to monitor the land use land cover (LULC) dynamics. In the recent past …

[HTML][HTML] Multitemporal hyperspectral data fusion with topographic indices—Improving classification of natura 2000 grassland habitats

A Marcinkowska-Ochtyra, K Gryguc, A Ochtyra… - Remote Sensing, 2019 - mdpi.com
Accurately identifying Natura 2000 habitat areas with the support of remote sensing
techniques is becoming increasingly feasible. Various data types and methods are used for …

Health big data classification using improved radial basis function neural network and nearest neighbor propagation algorithm

C Jiang, Y Li - IEEE Access, 2019 - ieeexplore.ieee.org
Health big data classification can effectively improve the level of medical and health services
and management, help medical staff to carry out auxiliary diagnosis, improve the efficiency …

Airborne hyperspectral images and machine learning algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows

A Sabat-Tomala, E Raczko, B Zagajewski - Remote Sensing, 2024 - mdpi.com
The map** of invasive plant species is essential for effective ecosystem control and
planning, especially in protected areas. One of the widespread invasive plants that threatens …

[HTML][HTML] Classification of high-mountain vegetation communities within a diverse Giant Mountains ecosystem using airborne APEX hyperspectral imagery

A Marcinkowska-Ochtyra, B Zagajewski, E Raczko… - Remote Sensing, 2018 - mdpi.com
Map** plant communities is a difficult and time consuming endeavor. Methods relying on
field surveys deliver high quality data but are usually limited to relatively small areas. In this …

Map** wildfire ignition probability using sentinel 2 and LiDAR (Jerte Valley, Cáceres, Spain)

Y Sánchez Sánchez, A Martínez-Graña… - Sensors, 2018 - mdpi.com
Wildfire is a major threat to the environment, and this threat is aggravated by different
climatic and socioeconomic factors. The availability of detailed, reliable map** and …