Multi-temporal hyperspectral classification of grassland using transformer network
X Zhao, S Zhang, R Shi, W Yan, X Pan - Sensors, 2023 - mdpi.com
In recent years, grassland monitoring has shifted from traditional field surveys to remote-
sensing-based methods, but the desired level of accuracy has not yet been obtained. Multi …
sensing-based methods, but the desired level of accuracy has not yet been obtained. Multi …
Airborne HySpex hyperspectral versus multitemporal Sentinel-2 images for mountain plant communities map**
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 …
the spread of expansive and alien invasive plants, thus reducing their biodiversity. Due to …
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 …
popular data source that can enrich traditional methods of vegetation monitoring. The …
Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European …
The reliability of remote sensing technology is essential for its efficient operational
applications in nature conservation practices. In our study, multi-temporal, multispectral, and …
applications in nature conservation practices. In our study, multi-temporal, multispectral, and …
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 …
data have facilitated to monitor the land use land cover (LULC) dynamics. In the recent past …
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 …
and management, help medical staff to carry out auxiliary diagnosis, improve the efficiency …
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 …
techniques is becoming increasingly feasible. Various data types and methods are used for …
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 …
planning, especially in protected areas. One of the widespread invasive plants that threatens …
Intraspecific differences in spectral reflectance curves as indicators of reduced vitality in high-arctic plants
Remote sensing is a suitable candidate for monitoring rapid changes in Polar regions,
offering high-resolution spectral, spatial and radiometric data. This paper focuses on the …
offering high-resolution spectral, spatial and radiometric data. This paper focuses on the …
Classification of high-mountain vegetation communities within a diverse Giant Mountains ecosystem using airborne APEX hyperspectral imagery
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 …
field surveys deliver high quality data but are usually limited to relatively small areas. In this …