Results 71 to 80 of about 2,046 (182)

Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas

Remote Sensing
UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction.
Qixia Man, Xinming Yang, Haijian Liu, Baolei Zhang, Pinliang Dong, Jingru Wu, Chunhui Liu, Changyin Han, Cong Zhou, Zhuang Tan, Qian Yu   +10 more
doaj   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 3565-3583, October 2026.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

Genomic Innovations in High‐Oil Soybean Breeding: Overcoming Yield Barriers and Climate Resilience Challenges

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Soybean (Glycine max L.) is the world's most important oilseed crop, supplying 25% of world‘s edible oil and 66% of feed protein. This review address genomic innovations to overcome yield constraints and climate vulnerability (especially drought stress) in high‐oil soybean breeding.
Mujeeb Ur Rehman, Muhammad Azam, Muhammad Ahsan, Azhar Iqbal, Lili Yu, Jhon Larzabal, Juan E. Rosas, Li‐Juan Qiu   +7 more
wiley   +1 more source

Full waveform hyperspectral LiDAR for terrestrial laser scanning

Optics Express, 2012
We present the design of a full waveform hyperspectral light detection and ranging (LiDAR) and the first demonstrations of its applications in remote sensing. The novel instrument produces a 3D point cloud with spectral backscattered reflectance data. This concept has a significant impact on remote sensing and other fields where target 3D detection and
Teemu, Hakala, Juha, Suomalainen, Sanna, Kaasalainen, Yuwei, Chen   +3 more
openaire   +2 more sources

Advancing Thermotolerance in Beans: Integrating Physiology, Genomics, and Breeding for Climate Adaptation

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Rising global temperatures increasingly threaten bean production and the food security of millions of people who depend on these protein‐rich legumes. Heat stress during the reproductive stages induces pollen sterility, flower abscission, and disruptions in source–sink relationships, resulting in yield losses of 30%–40% or more when critical ...
Aastha Sharda, Shikha Chaudhary, Bhawna Kumari, Uday C. Jha, Mohar Singh, Inderjit Singh, Kamal Dev Sharma, Kadambot H. M. Siddique, P. V. Vara Prasad, Harsh Nayyar   +9 more
wiley   +1 more source

Data quality analysis after hyperspectral LiDAR sequentially mapping trees [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Light detection and ranging (LiDAR), as an innovative remote sensing tool, not only captures target reflectance but also provides its morphological parameters.
S. Dong, Y. Lin
doaj   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

Functional Ecology, Volume 40, Issue 9, Page 2760-2776, September 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves, Ritesh Chowdhry, Meilun Zhou, Ira Harmon, Ben Weinstein, S. K. Morgan Ernest, Alina Zare, Ethan P. White, Stephanie A. Bohlman   +8 more
wiley   +1 more source

Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

Remote Sensing, 2012
Our objective is to identify and map individuals of nine tree species in a Hawaiian lowland tropical forest by comparing the performance of a variety of semi-supervised classifiers.
Gregory P. Asner, Jean-Baptiste Féret
doaj   +1 more source

Twenty‐one questions shaping the future of plant phenology research in the 21st century

Functional Ecology, Volume 40, Issue 9, Page 2777-2792, September 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract This Perspective examines the critical frontiers shaping the future of plant phenology research and identifies key emerging challenges and opportunities expected to influence the field in the 21st century.
Barbara Templ, Johanna Kauffert, José A. Oteros, Sebastian Lehner, Eike Luedeling, Ester Prat, Victor Van der Meersch, Anton Vrieling, Jorad de Vries, Emma Izquierdo‐Verdiguier, Inaki García de Cortázar‐Atauri, Keke Duan, Urša Vilhar, Herminia Garcia‐Mozo, Francois Rebaudo, Haiyin Ye, Gal Oblišar, Raul Zurita‐Milla, Mahdi Khodadadzadeh, Annette Menzel   +19 more
wiley   +1 more source

Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data

Remote Sensing, 2015
Identification of crop species is an important issue in agricultural management. In recent years, many studies have explored this topic using multi-spectral and hyperspectral remote sensing data. In this study, we perform dedicated research to propose a
Xiaolong Liu, Yanchen Bo
doaj   +1 more source