Results 61 to 70 of about 1,140 (180)
Abstract Lightning initiation depends on the charge separation within the mixed‐phase areas of convective clouds, where graupel, ice, and supercooled water interact. However, the specific mixed‐phase structures that enhance charge separation remain unclear.
M. Kondo, T. Ushio
wiley +1 more source
Abstract Extreme positive cloud‐to‐ground lightning over East Asian midlatitudes exhibits a spring–autumn double maximum hidden by the familiar winter climatology. Using 1,838,538 return strokes with absolute peak currents at least 200 kA during 2006–2024, we resolve its annual cycle by month and latitude.
Nengxing Guo +7 more
wiley +1 more source
Insect monitoring without pitfalls: Seven steps for robust insect sensing systems
Cameras, acoustics, radar and photonics allow us to observe insects at unprecedented spatial and temporal scales. Different sensors have unique strengths, while species ID is a critical bottleneck. Artificial intelligence (AI) and other processing tools should complement human workflows—not consume them. Expert annotation is more important than ever to
Jamie Alison +27 more
wiley +1 more source
The goal of this work is to assess the impact of polarimetric SAR decompositions for soil moisture retrieval, and identify the decomposition that performs best for varying vegetation covers and soil conditions.
Giovanni Anconitano +3 more
doaj +1 more source
Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods. [PDF]
Wang M +6 more
europepmc +1 more source
Model-Based Polarimetric Decomposition With Higher Order Statistics
This letter presents a new general framework for solving polarimetric target decompositions that extends them to use more statistical information and include radar texture models. Polarimetric target decomposition methods generally have more physical parameters than equations and are, thus, underdetermined and have no unique solution.
Torbjørn Eltoft, Anthony P. Doulgeris
openaire +2 more sources
Discriminant Analysis Based Graph for Feature Extraction and Classification of Polarimetric SAR Images [PDF]
Polarimetric Synthetic Aperture Radar (PolSAR) imagery, as an advanced remote sensing technology provides rich information about the scattering characteristics of the Earth's surface, significantly enhancing classification accuracy.
F. Saneipour, M. Imani, H. Ghassemian
doaj +1 more source
Mapping Glacierized Regions With Quad-Pol Dual Frequency LS-ASAR: Insights for the NISAR Mission
NISAR, a spaceborne L- and S-band radar mission, is set to launch in 2025. As part of mission testing, airborne L- and S-band radar sensors were employed to obtain dual-frequency quad-polarimetric (LS-ASAR) data in the United States. This study evaluates
Gopika Das +8 more
doaj +1 more source
A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands
Previous polarimetric target decomposition methods have been widely used in forests and buildings and have achieved good results. However, there is a lack of corresponding modeling for the study of grassland scattering characteristics.
Baokun Liu +8 more
doaj +1 more source
Autonomous Coastal Land Cover Assessment Using Polarimetric Decomposition of SAR Data [PDF]
The paper reports an experiment on classification using fully polarimetric SAR data. Many reports have been presented mentioning test sites in temperate regions utilizing polarimetric SAR data from airborne and/or spaceborne SAR sensors.
Bambang H. Trisasongko
doaj

