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Remote Sensing, Volume 16, Issue 11

2024 June-1 - 225 articles

Cover Story: A surge is a natural catastrophe during which a glacier accelerates to 100–200 times its normal speed, resulting in rapid mass transfer from the cryosphere to the oceans and contributing significantly to sea-level rise. To study the current surge of the Negribreen Glacier System in Arctic Svalbard, we investigate the trade-offs between two different approaches to modern machine learning in the geosciences: (1) deep, convolutional neural networks (CNNs) and (2) NNs informed by Earth observations and geophysical knowledge (physically constrained NNs). Combining the advantages from each method in the GEOCLASS-image system, we derive a physically informed CNN, VarioCNN, that allows rapid and efficient extraction of complex geophysical information from submeter-resolution satellite imagery. View this paper
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Articles (225)

  • Article
  • Open Access
2,377 Views
19 Pages

Lunar High Alumina Basalts in Mare Imbrium

  • Jingran Chen,
  • Shengbo Chen,
  • Ming Ma and
  • Yijun Jiang

6 June 2024

High-alumina (HA) mare basalts play a critical role in lunar mantle differentiation. Although remote sensing methods have speculated their potential presence regions based on sample FeO and TiO2 compositions, the location and distribution characteris...

  • Article
  • Open Access
4 Citations
2,238 Views
20 Pages

Study of Fast and Reliable Time Transfer Methods Using Low Earth Orbit Enhancement

  • Mingyue Liu,
  • Rui Tu,
  • Qiushi Chen,
  • Qi Li,
  • Junmei Chen,
  • Pengfei Zhang and
  • Xiaochun Lu

6 June 2024

The Global Navigation Satellite System (GNSS) can be utilized for long-distance and high-precision time transmission. With the ongoing development of low Earth orbit (LEO) satellites and the rapidly changing geometric relationships between them, the...

  • Article
  • Open Access
2 Citations
3,705 Views
18 Pages

Evaluation of Soybean Drought Tolerance Using Multimodal Data from an Unmanned Aerial Vehicle and Machine Learning

  • Heng Liang,
  • Yonggang Zhou,
  • Yuwei Lu,
  • Shuangkang Pei,
  • Dong Xu,
  • Zhen Lu,
  • Wenbo Yao,
  • Qian Liu,
  • Lejun Yu and
  • Haiyan Li

6 June 2024

Drought stress is a significant factor affecting soybean growth and yield. A lack of suitable high-throughput phenotyping techniques hinders the drought tolerance evaluation of multi-genotype samples. A method for evaluating drought tolerance in soyb...

  • Article
  • Open Access
2,811 Views
23 Pages

6 June 2024

A submarine landslide on the edge of the Norwegian shelf that occurred around 8150 ± 30 cal. years BP triggered a major ocean-wide tsunami, the deposits of which are recorded around the North Atlantic, including Scotland. Ground-penetrating ra...

  • Article
  • Open Access
9 Citations
4,149 Views
19 Pages

Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning

  • Michael Mckay,
  • Monica F. Danilevicz,
  • Michael B. Ashworth,
  • Roberto Lujan Rocha,
  • Shriprabha R. Upadhyaya,
  • Mohammed Bennamoun and
  • David Edwards

6 June 2024

Weeds pose a significant threat to agricultural production, leading to substantial yield losses and increased herbicide usage, with severe economic and environmental implications. This paper uses deep learning to explore a novel approach via targeted...

  • Article
  • Open Access
4 Citations
1,344 Views
15 Pages

6 June 2024

This work presents preliminary experimental results for advancing non-destructive testing methods for detecting steel bars in cement via contactless investigations in the X-band spectrum. This study reveals the field’s penetration into cement,...

  • Article
  • Open Access
5 Citations
2,574 Views
21 Pages

6 June 2024

Atmospheric turbulence primarily originates from abrupt density variations in a vertically stratified atmosphere. Based on the prognostic equation of turbulent kinetic energy (TKE), we here chose three indicators corresponding to the forcing terms of...

  • Review
  • Open Access
11 Citations
5,858 Views
27 Pages

6 June 2024

Vineyards and olive groves are two of the most important Mediterranean crops, not only for their economic value but also for their cultural and environmental significance, playing a crucial role in global agriculture. This systematic review, based on...

  • Article
  • Open Access
2 Citations
1,610 Views
24 Pages

6 June 2024

The unknown relative motions between synthetic aperture radar (SAR) and a ground moving target will lead to serious range cell migration (RCM) and Doppler frequency spread (DFS). The energy of the moving target will defocus, given the effect of the R...

  • Article
  • Open Access
4 Citations
2,426 Views
21 Pages

6 June 2024

The non-scanning radiometer with short-wavelength (SW: 0.2–5.0 μm) and total-wavelength (TW: 0.2–50.0 μm) channels is the primary payload of the Integrated Earth–Moon Radiation Observation System (IEMROS), which is designed to...

  • Article
  • Open Access
4 Citations
2,733 Views
28 Pages

6 June 2024

The algorithm proposed in this paper aims at solving the problem of star map matching in high-limiting-magnitude astronomical images, which is inspired by geometric voting star identification techniques. It is a two-step star map matching algorithm r...

  • Article
  • Open Access
3 Citations
2,326 Views
20 Pages

6 June 2024

Evaluating sea surface temperature (SST) products is essential before their application in marine environmental monitoring and related studies. SSTs from the in situ SST Quality Monitor (iQuam) system, Advanced Microwave Scanning Radiometer 2 (AMSR2)...

  • Article
  • Open Access
7 Citations
3,096 Views
30 Pages

Monitoring Chlorophyll-a Concentration Variation in Fish Ponds from 2013 to 2022 in the Guangdong-Hong Kong-Macao Greater Bay Area, China

  • Zikang Li,
  • Xiankun Yang,
  • Tao Zhou,
  • Shirong Cai,
  • Wenxin Zhang,
  • Keming Mao,
  • Haidong Ou,
  • Lishan Ran,
  • Qianqian Yang and
  • Yibo Wang

5 June 2024

Aquaculture plays a vital role in global food production, with fish pond water quality directly impacting aquatic product quality. The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) serves as a key producer of aquatic products in South China. Monit...

  • Article
  • Open Access
1 Citations
1,987 Views
25 Pages

5 June 2024

Water is the basis for human survival and growth, and it holds great importance for ecological and environmental protection. The Hindu Kush Himalaya (HKH) is known as the “Water Tower of Asia”, where water influences changes in the global...

  • Article
  • Open Access
2 Citations
2,239 Views
20 Pages

5 June 2024

This study aimed to improve the daytime fog detection algorithm GK2A_HR_FDA using the GEO-KOMPSAT-2A (GK2A) satellite by increasing the resolution (2 km to 500 m), improving predicted surface temperature by the numerical model, and optimizing some th...

  • Article
  • Open Access
4 Citations
3,197 Views
19 Pages

5 June 2024

Surface solar radiation, as a primary energy source, plays a pivotal role in governing land–atmosphere interactions, thereby influencing radiative, hydrological, and land surface dynamics. Ground-based instrumentation and satellite-based observ...

  • Article
  • Open Access
10 Citations
1,919 Views
24 Pages

A New Dual-Branch Embedded Multivariate Attention Network for Hyperspectral Remote Sensing Classification

  • Yuyi Chen,
  • Xiaopeng Wang,
  • Jiahua Zhang,
  • Xiaodi Shang,
  • Yabin Hu,
  • Shichao Zhang and
  • Jiajie Wang

5 June 2024

With the continuous maturity of hyperspectral remote sensing imaging technology, it has been widely adopted by scholars to improve the performance of feature classification. However, due to the challenges in acquiring hyperspectral images and produci...

  • Technical Note
  • Open Access
6 Citations
1,976 Views
16 Pages

5 June 2024

The IMERG data product is an optimal combination of precipitation estimates from the Global Precipitation Mission (GPM), making use of a variety of data types, primarily data from various spaceborne passive instruments. Previous versions of the IMERG...

  • Article
  • Open Access
3 Citations
2,469 Views
26 Pages

5 June 2024

Limited resources for edge computing platforms in airborne and spaceborne imaging payloads prevent using complex image processing models. Model pruning can eliminate redundant parameters and reduce the computational load, enhancing processing efficie...

  • Article
  • Open Access
2 Citations
1,710 Views
15 Pages

5 June 2024

Evapotranspiration (ET) accounts for over half of the moisture source of Asian monsoon rainfall, which has been significantly altered by anthropogenic forcings. However, how individual anthropogenic forcing affects the ET over monsoonal Asia is still...

  • Article
  • Open Access
3 Citations
1,583 Views
24 Pages

5 June 2024

In the field of remote sensing image analysis, the issue of cloud interference in high-resolution images has always been a challenging problem, with traditional methods often facing limitations in addressing this challenge. To this end, this study pr...

  • Article
  • Open Access
3 Citations
2,200 Views
19 Pages

Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions

  • Yifan Liu,
  • Tiecheng Song,
  • Chengye Xian,
  • Ruiyuan Chen,
  • Yi Zhao,
  • Rui Li and
  • Tan Guo

5 June 2024

Crater detection can provide valuable information for humans to explore the topography and understand the history of extraterrestrial planets. Due to the significantly varying scenario distributions, existing detection models trained on known labelle...

  • Article
  • Open Access
3 Citations
1,818 Views
21 Pages

A New Grid Zenith Tropospheric Delay Model Considering Time-Varying Vertical Adjustment and Diurnal Variation over China

  • Jihong Zhang,
  • Xiaoqing Zuo,
  • Shipeng Guo,
  • Shaofeng Xie,
  • Xu Yang,
  • Yongning Li and
  • Xuefu Yue

4 June 2024

Improving the accuracy of zenith tropospheric delay (ZTD) models is an important task. However, the existing ZTD models still have limitations, such as a lack of appropriate vertical adjustment function and being unsuitable for China, which has a com...

  • Article
  • Open Access
2 Citations
2,530 Views
27 Pages

A GPU-Based Integration Method from Raster Data to a Hexagonal Discrete Global Grid

  • Senyuan Zheng,
  • Liangchen Zhou,
  • Chengshuai Lu and
  • Guonian Lv

4 June 2024

This paper proposes an algorithm for the conversion of raster data to hexagonal DGGSs in the GPU by redevising the encoding and decoding mechanisms. The researchers first designed a data structure based on rhombic tiles to convert the hexagonal DGGS...

  • Article
  • Open Access
1,429 Views
22 Pages

LPI Sequences Optimization Method against Summation Detector Based on FFT Filter Bank

  • Qiang Liu,
  • Fucheng Guo,
  • Kunlai Xiong,
  • Zhangmeng Liu and
  • Weidong Hu

4 June 2024

Waveform design is a crucial factor in electronic surveillance (ES) systems. In this paper, we introduce an algorithm that designs a low probability of intercept (LPI) radar waveform. Our approach directly minimizes the detection probability of summa...

  • Article
  • Open Access
9 Citations
1,711 Views
42 Pages

Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting

  • Michalis Giannopoulos,
  • Grigorios Tsagkatakis and
  • Panagiotis Tsakalides

4 June 2024

Earth observation imaging technologies, particularly multispectral sensors, produce extensive high-dimensional data over time, thus offering a wealth of information on global dynamics. These data encapsulate crucial information in essential climate v...

  • Article
  • Open Access
5 Citations
8,101 Views
24 Pages

Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning

  • Elena C. Reinisch,
  • Charles J. Abolt,
  • Erika M. Swanson,
  • Bertrand Rouet-Leduc,
  • Emily E. Snyder,
  • Kavya Sivaraj and
  • Kurt C. Solander

4 June 2024

Detecting surface deformation associated with low-magnitude (Mw5) seismicity using interferometric synthetic aperture radar (InSAR) is challenging due to the subtlety of the signal and the often challenging imaging environments. However, low-magnitu...

  • Article
  • Open Access
21 Citations
3,361 Views
18 Pages

Revealing the Eco-Environmental Quality of the Yellow River Basin: Trends and Drivers

  • Meiling Zhou,
  • Zhenhong Li,
  • Meiling Gao,
  • Wu Zhu,
  • Shuangcheng Zhang,
  • Jingjing Ma,
  • Liangyu Ta and
  • Guijun Yang

4 June 2024

The Yellow River Basin (YB) acts as a key barrier to ecological security and is an important experimental region for high-quality development in China. There is a growing demand to assess the ecological status in order to promote the sustainable deve...

  • Article
  • Open Access
1 Citations
2,103 Views
20 Pages

Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence

  • Lucas Vaz Peres,
  • Damaris Kirsh Pinheiro,
  • Hassan Bencherif,
  • Nelson Begue,
  • José Valentin Bageston,
  • Gabriela Dorneles Bittencourt,
  • Thierry Portafaix,
  • Andre Passaglia Schuch,
  • Vagner Anabor and
  • David Mendes
  • + 9 authors

4 June 2024

This paper presents the observational, remote sensing, and model simulation used to analyze southern Brazil Antarctic ozone hole influence (SBAOHI) events that occurred between 2005 and 2014. To analyze it, we use total ozone column (TOC) data provid...

  • Article
  • Open Access
3 Citations
2,823 Views
20 Pages

4 June 2024

Overshooting tops (OTs), prominent signatures within deep convective storms, are produced by intense updrafts and are closely linked to heavy rainfall, strong winds, and other severe weather conditions. Using an OT dataset derived from multiyear obse...

  • Article
  • Open Access
3 Citations
1,795 Views
20 Pages

SLR Validation and Evaluation of BDS-3 MEO Satellite Precise Orbits

  • Ran Li,
  • Chen Wang,
  • Hongyang Ma,
  • Yu Zhou,
  • Chengpan Tang,
  • Ziqian Wu,
  • Guang Yang and
  • Xiaolin Zhang

4 June 2024

Starting from February 2023, the International Laser Ranging Service (ILRS) began releasing satellite laser ranging (SLR) data for all BeiDou global navigation satellite system (BDS-3) medium earth orbit (MEO) satellites. SLR data serve as the best e...

  • Technical Note
  • Open Access
23 Citations
4,659 Views
14 Pages

A Catalogue of Impact Craters and Surface Age Analysis in the Chang’e-6 Landing Area

  • Yexin Wang,
  • Jing Nan,
  • Chenxu Zhao,
  • Bin Xie,
  • Sheng Gou,
  • Zongyu Yue,
  • Kaichang Di,
  • Hong Zhang,
  • Xiangjin Deng and
  • Shujuan Sun

4 June 2024

Chang’e-6 (CE-6) is the first sample-return mission from the lunar farside and will be launched in May of 2024. The landing area is in the south of the Apollo basin inside the South Pole Aitken basin. Statistics and analyses of impact craters in the...

  • Article
  • Open Access
1,400 Views
15 Pages

3 June 2024

For synthetic aperture microwave radiometers, the problem of Radio Frequency Interference (RFI) is becoming more and more serious, which affects both the scientific retrieval of remote sensing data and the imaging quality of brightness temperature (B...

  • Article
  • Open Access
12 Citations
2,137 Views
25 Pages

Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing

  • Dragomir D. Sângeorzan,
  • Florin Păcurar,
  • Albert Reif,
  • Holger Weinacker,
  • Evelyn Rușdea,
  • Ioana Vaida and
  • Ioan Rotar

3 June 2024

Arnica montana L. is a medicinal plant with significant conservation importance. It is crucial to monitor this species, ensuring its sustainable harvesting and management. The aim of this study is to develop a practical system that can effectively de...

  • Feature Paper
  • Article
  • Open Access
10 Citations
2,992 Views
27 Pages

3 June 2024

Building land-use type classification using earth observation data is essential for urban planning and emergency management. Municipalities usually do not hold a detailed record of building land-use types in their jurisdictions, and there is a signif...

  • Article
  • Open Access
3 Citations
1,835 Views
18 Pages

3 June 2024

Understanding changes of soil organic carbon (SOC) in top layers of croplands and their driving factors is a vital prerequisite in decision-making for maintaining sustainable agriculture. However, high-precision estimation of SOC of croplands at regi...

  • Article
  • Open Access
5 Citations
2,338 Views
20 Pages

Ice Thickness Measurement and Volume Modeling of Muztagh Ata Glacier No.16, Eastern Pamir

  • Yefei Yang,
  • Zhongqin Li,
  • Feiteng Wang,
  • Weibo Zhao,
  • Jianxin Mu,
  • Shuang Jin,
  • Fanglong Wang,
  • Xin Zhang,
  • Qibin Liang and
  • Hao Ma
  • + 1 author

3 June 2024

As a heavily glaciated region, the Eastern Pamir plays a crucial role in regional water supply. However, considerable ambiguity surrounds the distribution of glacier ice thickness and the details of ice volume. Accurate data at the local scale are la...

  • Article
  • Open Access
4 Citations
2,252 Views
18 Pages

3 June 2024

The infrared (IR) satellite remote sensing of sea surface skin temperature (SSTskin) is challenging in the northern high-latitude region, especially in the Arctic because of its extreme environmental conditions, and thus the accuracy of SSTskin retri...

  • Article
  • Open Access
4 Citations
1,393 Views
20 Pages

3 June 2024

We present a study on the effectiveness of using varying data sizes to transfer crop type classification models from one year to the next, emphasizing the balance between data sufficiency and model accuracy. The significance of crop detection through...

  • Technical Note
  • Open Access
2 Citations
1,243 Views
10 Pages

Oxygen and Air Density Retrieval Method for Single-Band Stellar Occultation Measurement

  • Zheng Li,
  • Xiaocheng Wu,
  • Cui Tu,
  • Junfeng Yang,
  • Xiong Hu and
  • Zhaoai Yan

3 June 2024

The stellar occultation technique is capable of atmospheric trace gas detection using the molecule absorption characteristics of the stellar spectra. In this paper, the non-iterative and iterative retrieval methods for oxygen and air density detectio...

  • Article
  • Open Access
4 Citations
2,804 Views
19 Pages

A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature

  • Libin Du,
  • Zhengkai Wang,
  • Zhichao Lv,
  • Dongyue Han,
  • Lei Wang,
  • Fei Yu and
  • Qing Lan

2 June 2024

With the aim of solving the problem of identifying complex underwater acoustic targets using a single signal feature in the Time–Frequency (TF) feature, this paper designs a method that recognizes the underwater targets based on the Delay-Doppl...

  • Article
  • Open Access
1 Citations
2,546 Views
19 Pages

2 June 2024

Instance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious. Despite some progress in automatic annotation, the perfo...

  • Article
  • Open Access
6 Citations
3,150 Views
22 Pages

2 June 2024

Small object detection poses significant challenges in the realm of general object detection, primarily due to complex backgrounds and other instances interfering with the expression of features. This research introduces an uncomplicated and efficien...

  • Article
  • Open Access
3 Citations
1,254 Views
18 Pages

Assessment of C-Band Polarimetric Radar for the Detection of Diesel Fuel in Newly Formed Sea Ice

  • Leah Hicks,
  • Mahdi Zabihi Mayvan,
  • Elvis Asihene,
  • Durell S. Desmond,
  • Katarzyna Polcwiartek,
  • Gary A. Stern and
  • Dustin Isleifson

2 June 2024

There is a heightened risk of an oil spill occurring in the Arctic, as climate change driven sea ice loss permits an increase in Arctic marine transportation. The ability to detect an oil spill and monitor its progression is key to enacting an effect...

  • Article
  • Open Access
7 Citations
3,319 Views
17 Pages

Quantitative Assessment of Volcanic Thermal Activity from Space Using an Isolation Forest Machine Learning Algorithm

  • Claudia Corradino,
  • Arianna Beatrice Malaguti,
  • Micheal S. Ramsey and
  • Ciro Del Negro

1 June 2024

Understanding the dynamics of volcanic activity is crucial for volcano observatories in their efforts to forecast volcanic hazards. Satellite imager data hold promise in offering crucial insights into the thermal behavior of active volcanoes worldwid...

  • Article
  • Open Access
2 Citations
2,435 Views
19 Pages

1 June 2024

A strong motion seismometer is a kind of inertial sensor, and it can record middle- to high-frequency ground accelerations. The double-integration from acceleration to displacement amplifies errors caused by tilt, rotation, hysteresis, non-linear ins...

  • Communication
  • Open Access
3 Citations
1,870 Views
12 Pages

Universal Software Only Radar with All Waveforms Simultaneously on a Single Platform

  • Vitali Kozlov,
  • Anton Kharchevskii,
  • Eran Rebenshtok,
  • Vjaceslavs Bobrovs,
  • Toms Salgals and
  • Pavel Ginzburg

1 June 2024

Abstract: While software-defined radars can switch their transmitted waveform on the go, they cannot transmit all waveforms at the same time, meaning they must balance the advantages and drawbacks of each configuration. Here, we propose theoretically...

  • Article
  • Open Access
10 Citations
2,985 Views
24 Pages

Lake Environmental Data Harvester (LED) for Alpine Lake Monitoring with Autonomous Surface Vehicles (ASVs)

  • Angelo Odetti,
  • Gabriele Bruzzone,
  • Roberta Ferretti,
  • Simona Aracri,
  • Federico Carotenuto,
  • Carolina Vagnoli,
  • Alessandro Zaldei and
  • Ivan Scagnetto

1 June 2024

This article introduces the Lake Environmental Data Harvester (LED) System, a robotic platform designed for the development of an innovative solution for monitoring remote alpine lakes. LED is intended as the first step in creating portable robotic t...

  • Article
  • Open Access
7 Citations
4,458 Views
25 Pages

31 May 2024

The study of ancient irrigation is crucial in the archaeological research of arid regions. It covers a wide range of topics, with the Near East being the focus for decades. However, political instability and limited data have posed challenges to thes...

  • Article
  • Open Access
4 Citations
2,132 Views
23 Pages

Trends of Key Greenhouse Gases as Measured in 2009–2022 at the FTIR Station of St. Petersburg State University

  • Maria Makarova,
  • Anatoly Poberovskii,
  • Alexander Polyakov,
  • Khamud H. Imkhasin,
  • Dmitry Ionov,
  • Boris Makarov,
  • Vladimir Kostsov,
  • Stefani Foka and
  • Evgeny Abakumov

31 May 2024

Key long-lived greenhouse gases (CO2, CH4, and N2O) are perhaps among the best-studied components of the Earth’s atmosphere today; however, attempts to predict or explain trends or even shorter-term variations of these trace gases are not alway...

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Remote Sens. - ISSN 2072-4292