Results 121 to 130 of about 23,698,312 (402)

Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations

, 2021
With the launch of Sentinel-1 in 2014, a new era of openly accessible spaceborne radar imagery was begun, and its potential has been demonstrated throughout all fields of applications.
A. Braun
semanticscholar   +1 more source

Functional diversity of farmland bees across rural–urban landscapes in a tropical megacity

Ecological Applications, Volume 32, Issue 8, December 2022., 2022
Abstract Urbanization poses a major threat to biodiversity and food security, as expanding cities, especially in the Global South, increasingly compete with natural and agricultural lands. However, the impact of urban expansion on agricultural biodiversity in tropical regions is overlooked.
Gabriel Marcacci, Ingo Grass, Vikas S. Rao, Shabarish Kumar S, K. B. Tharini, Vasuki V. Belavadi, Nils Nölke, Teja Tscharntke, Catrin Westphal   +8 more
wiley   +1 more source

Combination of Linear Regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology—Case Study in Miyazaki, Japan

Remote Sensing, 2020
This study investigated the relationship between backscattering coefficients of a synthetic aperture radar (SAR) and the four biophysical parameters of rice crops—plant height, green vegetation cover, leaf area index, and total dry biomass. A paddy
Emal Wali, Masahiro Tasumi, Masao Moriyama   +2 more
doaj   +1 more source

The use of multi-sensor satellite imagery to analyze flood events and land cover changes using change detection and machine learning techniques in the Barito watershed

Journal of Degraded and Mining Lands Management, 2023
Indonesia is one of the countries in the world that is frequently affected by floods. Flood disasters can have various negative impacts and therefore need to be analyzed to determine prevention and mitigation measures.
Muhammad Priyatna, Sastra Kusuma Wijaya, Muhammad Rokhis Khomarudin, Fajar Yulianto, Gatot Nugroho, Pingkan Mayestika Afgatiani, Anisa Rarasati, Muhammad Arfin Hussein   +7 more
doaj   +1 more source

Interferometric Processing of Sentinel-1 TOPS Data [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2016
Sentinel-1 (S-1) has an unparalleled mapping capacity. In interferometric wide swath (IW) mode, three subswaths imaged in the novel Terrain Observation by Progressive Scans (TOPS) SAR mode result in a total swath width of 250 km. S-1 has become the European workhorse for large area mapping and interferometric monitoring at medium resolution.
Yague-Martinez, Nestor, Prats-Iraola, Pau, Rodriguez Gonzalez, Fernando, Brcic, Ramon, Shau, Robert, Geudtner, Dirk, Eineder, Michael, Bamler, Richard   +7 more
openaire   +3 more sources

Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data

Remote Sensing, 2022
The use of machine learning algorithms to classify complex landscapes has been revolutionized by the introduction of deep learning techniques, particularly in remote sensing.
Ali Jamali, M. Mahdianpari
semanticscholar   +1 more source

An Evaluation of Sentinel-1 and Sentinel-2 for Land Cover Classification [PDF]

, 2019
This study evaluates Sentinel-1 and Sentinel-2 remotely sensed images for tropical land cover classification. The dual polarized Sentinel-1 VV and VH backscatter images and four 10-meter multispectral bands of Sentinel-2 were used to create six land ...
Meneghini, Aaron
core   +1 more source

Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang, Daniel Kargilis, Thomas Tropea, John Robinson, Junchao Shen, Eliza M. Brody, Ann Brinkmalm, Simon Sjödin, Adama J. Berndt, Marc Carceles‐Cordon, EunRan Suh, Vivianna M. Van Deerlin, Kaj Blennow, Daniel Weintraub, Edward B. Lee, Henrik Zetterberg, Alice S. Chen‐Plotkin   +16 more
wiley   +1 more source

Comparative assessment of satellite‐ and drone‐based vegetation indices to predict arthropod biomass in shrub‐steppes

Ecological Applications, Volume 32, Issue 8, December 2022., 2022
Abstract Arthropod biomass is a key element in ecosystem functionality and a basic food item for many species. It must be estimated through traditional costly field sampling, normally at just a few sampling points. Arthropod biomass and plant productivity should be narrowly related because a large majority of arthropods are herbivorous, and others ...
J. Traba, J. Gómez‐Catasús, A. Barrero, D. Bustillo‐de la Rosa, J. Zurdo, I. Hervás, C. Pérez‐Granados, E. L. García de la Morena, A. Santamaría, M. Reverter   +9 more
wiley   +1 more source

Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps

European Journal of Remote Sensing, 2020
729Sentinel-1 data are an alternative for monitoring flooded inland surfaces during cloudy periods. Supervised classification approaches with a single-trained model for the entire image demonstrate poor accuracy due to confusing backscatter conditions of
Ioannis Manakos, Georgios A. Kordelas, Kalliroi Marini   +2 more
doaj   +1 more source