Results 41 to 50 of about 2,046 (182)

Enviromics and Abiotic Enviromics: Enhancing Stress Biology and Plant Resilience Breeding

Advanced Science, EarlyView.
Environmental stressors are captured through high‐throughput envirotyping and integrated into an enviromic framework with genomic, transcriptomic, phenomic, and environmental data. AI/ML models enable prediction and guide marker‐assisted selection, genomic selection, genome editing, and gene pyramiding toward improved abiotic stress tolerance, yield ...
Guangchao Sun, Jose Luis Araus, James C. Schnable, Jie Xu, Henry T. Nguyen, Yunbi Xu, Yanli Lu   +6 more
wiley   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

Fully‐connected semantic segmentation of hyperspectral and LiDAR data

IET Computer Vision, 2019
Semantic segmentation is an emerging field in the computer vision community where one can segment and label an object all at once, by considering the effects of the neighbouring pixels. In this study, the authors propose a new semantic segmentation model that fuses hyperspectral images with light detection and ranging (LiDAR) data in the three ...
Aytaylan, Hakan, Yuksel, Seniha Esen
openaire   +4 more sources

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Evaluation of Goddard’s LiDAR, hyperspectral, and thermal data products for mapping urban land-cover types

GIScience & Remote Sensing, 2018
Goddard’s LiDAR (Light Detection And Ranging), hyperspectral and thermal (G-LiHT) airborne imager is a new system to advance concepts of data fusion for worldwide applications. A recent G-LiHT mission conducted in June 2016 over an urban area opens a new
Caiyun Zhang, Molly Smith, Chaoyang Fang
doaj   +1 more source

Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread for improving classification results.
B. Abbasi, H. Arefi, B. Bigdeli, M. Motagh, S. Roessner   +4 more
doaj   +1 more source

Multimodal Prompt Tuning for Hyperspectral and LiDAR Classification

Remote Sensing
The joint classification of hyperspectral imaging (HSI) and Light Detection and Ranging (LiDAR) data holds significant importance for various practical uses, including urban mapping, mineral prospecting, and ecological observation. Achieving robust and transferable feature representations is essential to fully leverage the complementary properties of ...
Zhengyu Liu, Xia Yuan, Shuting Yang, Guanyiman Fu, Chunxia Zhao, Fengchao Xiong   +5 more
openaire   +3 more sources

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Unsupervised multi-branch capsule for hyperspectral and LiDAR classification

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 2023
10 ...
Xu, Quanfeng, Tang, Yi, She, Yumei
openaire   +2 more sources

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification [PDF]

IEEE Geoscience and Remote Sensing Letters, 2020
During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock classification from different layers. It implies that a technique for rapidly and accurately classifying coal/rock in-site needs to be investigated and established, which is of significance for improving the ...
Hui Shao, Yuwei Chen 0005, Zhirong Yang, Changhui Jiang, Wei Li 0095, Haohao Wu, Zhijie Wen, Shaowei Wang, Eetu Puttonen, Juha Hyyppä   +9 more
openaire   +3 more sources