Results 51 to 60 of about 2,900 (227)

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Transformers in Remote Sensing: A Survey

Remote Sensing, 2023
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformer-based architectures, originally introduced in natural language processing, have pervaded ...
Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan   +6 more
doaj   +1 more source

Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures

Limnology and Oceanography: Methods, EarlyView.
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall, Adam C. Mumford, Aaron M. Goldfain, David W. Allen, E. Terrence Slonecker, Alisa Shtabnoy, Carl J. Legleiter, Sarah A. Spaulding   +7 more
wiley   +1 more source

Multi-platform optical remote sensing dataset for target detection

Data in Brief, 2020
Target detection in remote sensing has vital applications in mineral mapping, law enforcement, precision agriculture, strategic surveillance, etc. We present the acquisition of a first-of-its-kind high-resolution multi-platform (ground, airborne, and ...
Sudhanshu Shekhar Jha, Manohar Kumar, Rama Rao Nidamanuri   +2 more
doaj   +1 more source

Weaving for action: Transformative change in biodiversity monitoring

People and Nature, EarlyView.
Abstract The Post‐2020 Kunming‐Montreal Biodiversity Framework aims to drive transformative change to halt biodiversity loss. To track progress toward its goals and targets, a dedicated monitoring framework has been established. The current biodiversity monitoring framework relies on a set of indicators developed through a unidirectional process of ...
Carol X. Garzon‐Lopez, Laura M. Bellis, Camilo Castillo, Tahani Nadim, Duccio Rocchini, Koenraad Van Meerbeek, Hakon Stokland, Esther Turnhout, Margaret Gold, Anne Beaulieu   +9 more
wiley   +1 more source

Hyperspectral Investigation of an Abandoned Waste Mining Site: The Case of Sidi Bou Azzouz (Morocco)

Remote Sensing
The increasing demand for critical raw materials (CRMs), driven by global energy transition, underscores the need for innovative approaches to identify secondary resources, such as mining residues.
Daniela Guglietta, Roberto Salzano, Amina Wafik, Aida M. Conte, Matteo Paciucci, Rosalda Punturo, Rosamaria Salvatori, Giorgio S. Senesi, Carmela Vaccaro   +8 more
doaj   +1 more source

Spatial–Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery

Remote Sensing, 2019
The fine classification of crops is critical for food security and agricultural management. There are many different species of crops, some of which have similar spectral curves.
Lifei Wei, Ming Yu, Yanfei Zhong, Ji Zhao, Yajing Liang, Xin Hu   +5 more
doaj   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Remote Distinction of A Noxious Weed (Musk Thistle: CarduusNutans) Using Airborne Hyperspectral Imagery and the Support Vector Machine Classifier

Remote Sensing, 2013
Remote detection of non-native invasive plant species using geospatial imagery may significantly improve monitoring, planning and management practices by eliminating shortfalls, such as observer bias and accessibility involved in ground-based surveys ...
Norman C. Elliott, Charles M. Rush, Gerald J. Michels, Karl Steddom, David C. Jones, Mustafa Mirik, R. James Ansley   +6 more
doaj   +1 more source

Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation

Remote Sensing in Ecology and Conservation, EarlyView.
How well can airborne imaging spectroscopy detect plant diversity in vertically complex agroforestry systems? We tested this in a biodiversity‐enriched oil palm plantation in Sumatra, Indonesia, using high‐resolution hyperspectral data. We calculated spectral alpha and beta diversity and compared them to field‐based plant diversity.
Vannesa Montoya‐Sánchez, Anna K. Schweiger, Michael Schlund, Gustavo Brant Paterno, Stefan Erasmi, Holger Kreft, Dirk Hölscher, Fabian Brambach, Bambang Irawan, Leti Sundawati, Delphine Clara Zemp   +10 more
wiley   +1 more source