Results 71 to 80 of about 1,727,336 (191)

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

Characterization and Repetition Rate Locking of a 1 GHz Erbium‐Doped ZBLAN Waveguide‐Chip Comb Laser

Laser &Photonics Reviews, EarlyView.
A compact, erbium‐doped ZBLAN waveguide chip mode‐locked laser that self‐starts, delivers stable ultrashort pulses, and repetition rate locked to a 1 GHz radio‐frequency reference. The laser produces near transform‐limited 324 fs pulses and 12 nm bandwidth with low noise and long‐term stability, with potential applications in optical frequency ...
Wen Qi Zhang, Nicolas Bourbeau Hébert, Dale E. Otten, Colin Hall, David G. Lancaster   +4 more
wiley   +1 more source

Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]

, 2010
Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
core   +1 more source

Multispectral Mid‐Infrared Imaging With Incoherent Light via Adiabatic Upconversion

Laser &Photonics Reviews, EarlyView.
We demonstrate room‐temperature broadband MIR imaging based on adiabatic frequency upconversion, driven by a Q‐switched pump laser and incoherent illumination. The small‐foot‐print system upconverts the spectral range to the visible domain, without scanning, thermal control and with spatial resolution below 20μm$20\mathrm{\mu}\mathrm{m}$.
Daniel Beitner, Ziv Abelson, Eyal Hollander, Omri Meron, Haim Suchowski   +4 more
wiley   +1 more source

Carbon sequestration strategies for climate resilience: Sorghum‐based innovations for sustainable agriculture in dryland regions

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is intensifying heat, drought, and food insecurity, threatening dryland farming and carbon management worldwide. We reviewed research on sorghum, a drought‐adapted C4 crop, covering physiology, roots, biomass allocation, soil carbon, bioenergy, breeding, phenotyping, management, and policy.
Monir Idres Yahya Ahmed, Ahmed Khaled Hassan Mohammedali, Nasrein Mohamed Kamal, Takashi Okamoto, Takayoshi Ishii   +4 more
wiley   +1 more source

A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning

Sensors
With the rapid advancement of remote-sensing technology, the spectral information obtained from hyperspectral remote-sensing imagery has become increasingly rich, facilitating detailed spectral analysis of Earth’s surface objects.
Wenhui Song, Xin Zhang, Guozhu Yang, Yijin Chen, Lianchao Wang, Hanghang Xu   +5 more
doaj   +1 more source

An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
This paper reviews well-known classic algorithms and more recent experimental approaches for distinguishing the weak signal of a target (either known or anomalous) from the cluttered background of a hyperspectral image. Making this distinction requires characterization of the targets and characterization of the backgrounds, and our emphasis in this ...
MATTEOLI, STEFANIA, DIANI, MARCO, James Theiler   +2 more
openaire   +6 more sources

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

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

The Emerging Role of UAV for Heathland Monitoring and Conservation: State of the Art and Perspectives

Remote Sensing in Ecology and Conservation, EarlyView.
Heathland ecosystems are currently in a degraded state due to agricultural transformations and the effects of climate change. They are semi‐natural ecosystems hosting a variety of species (fauna and flora), and they also carry landscape and cultural importance, hence the need to pay careful attention to their conservation.
J. Boissonnat, F. Binet, T. Houet
wiley   +1 more source