Results 51 to 60 of about 2,046 (182)

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Modelling Forest α-Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing

Remote Sensing, 2012
The decline of biodiversity is one of the major current global issues. Still, there is a widespread lack of information about the spatial distribution of individual species and biodiversity as a whole.
Martin Wegmann, Stefan Dech, Jörg Müller, Carl Beierkuhnlein, Martin Bachmann, Björn Reineking, Benjamin F. Leutner   +6 more
doaj   +1 more source

Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images

Remote Sensing, 2022
Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring.
Jiajia Tang, Jie Liang, Yongjun Yang, Shaoliang Zhang, Huping Hou, Xiaoxiao Zhu   +5 more
doaj   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Alignment and 3D georeferencing of tunnel coaxial hyperspectral scanning system data for mine drift exploration

Geo-spatial Information Science
Remote sensing using light detection and ranging (LiDAR) and hyperspectral imaging is widely applied in underground exploration for non-contact detection and mapping of subsurface features, particularly in mining environments.
Hyunseob Baik, Junhyeok Park, Junyeong Heo, Young-Sun Son, Kwang-Eun Kim   +4 more
doaj   +1 more source

Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding

Remote Sensing, 2019
A new method of superpixel segmentation-based local pixel neighborhood preserving embedding (SSLPNPE) is proposed for the fusion of hyperspectral and light detection and ranging (LiDAR) data based on the extinction profiles (EPs), superpixel segmentation
Yunsong Li, Chiru Ge, Weiwei Sun, Jiangtao Peng, Qian Du, Keyan Wang   +5 more
doaj   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The attention mechanism is one of the most influential ideas in the deep learning community, which has shown excellent efficiency in various computer vision tasks.
Haotian Zhang, Jing Yao, Li Ni, Lianru Gao, Min Huang   +4 more
doaj   +1 more source

Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng, Joanne Alice O'Keeffe, Andrew J. Abraham, Jesper Riis Christiansen, Frederik Nygaard Philipsen, Klaus Steenberg Larsen, Fabio Berzaghi, Carsten W. Mueller, Lars Vesterdal, Jeppe A. Kristensen, Elizabeth Le Roux   +10 more
wiley   +1 more source