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Remote Sensing, Volume 12, Issue 21

2020 November-1 - 206 articles

Cover Story: The climatological surface solar radiation (SSR) is an important indicator of the solar energy production potential. In the Baltic area, previous studies have indicated lower cloud amounts over seas than over land. Here, we quantify the climatological land–sea contrast of the SSR using two satellite data records of EUMETSAT. Our results show that off-shore locations on average receive higher SSR than inland areas and that the land–sea contrast is strongest during the summer. Furthermore, the land–sea contrast in the summer time SSR exhibits similar behavior in various parts of the Baltic. The annual SSR is 8% higher 20 km off the coastline than 20 km inland. We further find that convective clouds are a key driver of this behavior, as they tend to form over inland areas rather than over the seas during the summer part of the year. View this paper
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Articles (206)

  • Editorial
  • Open Access
41 Citations
8,600 Views
7 Pages

Special Issue “Hyperspectral Remote Sensing of Agriculture and Vegetation”

  • Simone Pascucci,
  • Stefano Pignatti,
  • Raffaele Casa,
  • Roshanak Darvishzadeh and
  • Wenjiang Huang

9 November 2020

The advent of up-to-date hyperspectral technologies, and their increasing performance both spectrally and spatially, allows for new and exciting studies and practical applications in agriculture (soils and crops) and vegetation mapping and monitoring...

  • Article
  • Open Access
37 Citations
9,676 Views
22 Pages

Deformations Prior to the Brumadinho Dam Collapse Revealed by Sentinel-1 InSAR Data Using SBAS and PSI Techniques

  • Fábio F. Gama,
  • José C. Mura,
  • Waldir R. Paradella and
  • Cleber G. de Oliveira

9 November 2020

Differential Interferometric SAR (DInSAR) has been used to monitor surface deformations in open pit mines and tailings dams. In this paper, ground deformations have been detected on the area of tailings Dam-I at the Córrego do Feijão Mi...

  • Article
  • Open Access
9 Citations
3,454 Views
23 Pages

9 November 2020

Remote sensing technology has rendered lots of information in agriculture. It has usually been used to monitor paddy growing ecosystems in the past few decades. However, there are uncertainties in data fusion techniques which can be resolved in image...

  • Article
  • Open Access
7 Citations
3,713 Views
24 Pages

Application of the DIC Technique to Remote Control of the Hydraulic Load System

  • Radosław Jasiński,
  • Krzysztof Stebel and
  • Jarosław Domin

9 November 2020

Displacements or deformations of materials or structures are measured with linear variable differential transducers (LVDT), fibre optic sensors, laser sensors, and confocal sensor systems, while strains are measured with electro-resistant tensometers...

  • Article
  • Open Access
17 Citations
4,239 Views
23 Pages

Application of Multiple Geomatic Techniques for Coastline Retreat Analysis: The Case of Gerra Beach (Cantabrian Coast, Spain)

  • José Juan de Sanjosé Blasco,
  • Enrique Serrano-Cañadas,
  • Manuel Sánchez-Fernández,
  • Manuel Gómez-Lende and
  • Paula Redweik

9 November 2020

The beaches of the Cantabrian coast (northern Spain) are exposed to strong winter storms that cause the coastline to recede. In this article, the coastal retreat of the Gerra beach (Cantabria) is analyzed through a diachronic study using the followin...

  • Feature Paper
  • Article
  • Open Access
9 Citations
6,024 Views
23 Pages

Spatiotemporal Changes in 3D Building Density with LiDAR and GEOBIA: A City-Level Analysis

  • Karolina Zięba-Kulawik,
  • Konrad Skoczylas,
  • Ahmed Mustafa,
  • Piotr Wężyk,
  • Philippe Gerber,
  • Jacques Teller and
  • Hichem Omrani

9 November 2020

Understanding how, where, and when a city is expanding can inform better ways to make our cities more resilient, sustainable, and equitable. This paper explores urban volumetry using the Building 3D Density Index (B3DI) in 2001, 2010, 2019, and quant...

  • Article
  • Open Access
26 Citations
4,981 Views
22 Pages

9 November 2020

Net Primary Productivity (NPP) is one of the significant indicators to measure environmental changes; thus, the relevant study of NPP in Northeast China, Asia, is essential to climate changes and ecological sustainable development. Based on the Globa...

  • Article
  • Open Access
22 Citations
4,923 Views
17 Pages

9 November 2020

Solar photovoltaics (PV) has advanced at an unprecedented rate and the global cumulative installed PV capacity is growing exponentially. However, the ability to forecast PV power remains a key technical challenge due to the variability and uncertaint...

  • Article
  • Open Access
7 Citations
3,607 Views
19 Pages

Development of a Seamless Forecast for Solar Radiation Using ANAKLIM++

  • Isabel Urbich,
  • Jörg Bendix and
  • Richard Müller

9 November 2020

A novel approach for a blending between nowcasting and numerical weather prediction (NWP) for the surface incoming shortwave radiation (SIS) for a forecast horizon of 1–5 h is presented in this study. The blending is performed with a software t...

  • Article
  • Open Access
22 Citations
6,016 Views
18 Pages

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM

  • Mengxue Liu,
  • Xiangnan Liu,
  • Xiaobin Dong,
  • Bingyu Zhao,
  • Xinyu Zou,
  • Ling Wu and
  • Hejie Wei

9 November 2020

The use of the spatiotemporal data fusion method as an effective data interpolation method has received extensive attention in remote sensing (RS) academia. The enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) is one of the m...

  • Article
  • Open Access
3 Citations
3,264 Views
19 Pages

9 November 2020

To reconstruct Moderate Resolution Imaging Spectroradiometer (MODIS) band reflectance with optimal spatiotemporal continuity, three bidirectional reflectance distribution function (BRDF) models—the Ross-Thick-Li-Sparse Reciprocal (RTLSR) model,...

  • Article
  • Open Access
23 Citations
4,383 Views
19 Pages

8 November 2020

Hyperspectral images (HSIs), which obtain abundant spectral information for narrow spectral bands (no wider than 10 nm), have greatly improved our ability to qualitatively and quantitatively sense the Earth. Since HSIs are collected by high-resolutio...

  • Article
  • Open Access
36 Citations
5,488 Views
31 Pages

Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario

  • Guoyang Wang,
  • Peng Li,
  • Zhenhong Li,
  • Dong Ding,
  • Lulu Qiao,
  • Jishang Xu,
  • Guangxue Li and
  • Houjie Wang

8 November 2020

Coastal dams along the Yellow River Delta are built to prevent seawater intrusion. However, land subsidence caused by significant oil, gas and brine extraction, as well as sediment compaction, could exacerbate the flooding effects of sea-level rise a...

  • Article
  • Open Access
37 Citations
8,150 Views
22 Pages

A Deep Learning-Based Method for Quantifying and Mapping the Grain Size on Pebble Beaches

  • Antoine Soloy,
  • Imen Turki,
  • Matthieu Fournier,
  • Stéphane Costa,
  • Bastien Peuziat and
  • Nicolas Lecoq

8 November 2020

This article proposes a new methodological approach to measure and map the size of coarse clasts on a land surface from photographs. This method is based on the use of the Mask Regional Convolutional Neural Network (R-CNN) deep learning algorithm, wh...

  • Article
  • Open Access
18 Citations
4,960 Views
21 Pages

8 November 2020

Based on the analysis of multispectral satellite data, this work demonstrates the influence of coastal upwelling on the variability of chlorophyll-a (Chl-a) concentration in the south-eastern Baltic (SEB) Sea and in the Curonian Lagoon. The analysis...

  • Feature Paper
  • Article
  • Open Access
49 Citations
6,223 Views
22 Pages

Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires

  • Darío Domingo,
  • Juan de la Riva,
  • María Teresa Lamelas,
  • Alberto García-Martín,
  • Paloma Ibarra,
  • Maite Echeverría and
  • Raúl Hoffrén

8 November 2020

Mediterranean forests are recurrently affected by fire. The recurrence of fire in such environments and the number and severity of previous fire events are directly related to fire risk. Fuel type classification is crucial for estimating ignition and...

  • Article
  • Open Access
22 Citations
7,726 Views
21 Pages

8 November 2020

A large part of the population in low-income countries (LICs) lives in fragile and conflict-affected states. Many cities in these states show high growth dynamics, but little is known about the relation of conflicts and urban growth. In Afghanistan,...

  • Article
  • Open Access
54 Citations
9,950 Views
15 Pages

Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine

  • Meinan Zhang,
  • Huabing Huang,
  • Zhichao Li,
  • Kwame Oppong Hackman,
  • Chong Liu,
  • Roger Lala Andriamiarisoa,
  • Tahiry Ny Aina Nomenjanahary Raherivelo,
  • Yanxia Li and
  • Peng Gong

8 November 2020

Madagascar, one of Earth’s biodiversity hotpots, is characterized by heterogeneous landscapes and huge land cover change. To date, fine, reliable and timely land cover information is scarce in Madagascar. However, mapping high-resolution land c...

  • Article
  • Open Access
131 Citations
6,587 Views
21 Pages

7 November 2020

The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), an Earth-observing laser altimetry mission, is currently providing global elevation measurements. Geolocation validation confirms the altimeter’s ability to accurately position the measurement...

  • Article
  • Open Access
51 Citations
6,309 Views
21 Pages

7 November 2020

Recent global warming has been accompanied by high water temperatures (HWTs) in coastal areas of Korea, resulting in huge economic losses in the marine fishery industry due to disease outbreaks in aquaculture. To mitigate these losses, it is necessar...

  • Article
  • Open Access
36 Citations
6,858 Views
24 Pages

7 November 2020

Automatic and efficient ground penetrating radar (GPR) data analysis remains a bottleneck, especially restricting applications in real-time monitoring systems. Deep learning approaches have good practice in automatic object identification, but their...

  • Article
  • Open Access
6 Citations
3,200 Views
17 Pages

Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis

  • Sruthy Sasi,
  • Vijay Natraj,
  • Víctor Molina García,
  • Dmitry S. Efremenko,
  • Diego Loyola and
  • Adrian Doicu

7 November 2020

An algorithm for retrieving aerosol parameters by taking into account the uncertainty in aerosol model selection is applied to the retrieval of aerosol optical thickness and aerosol layer height from synthetic measurements from the EPIC sensor onboar...

  • Article
  • Open Access
3 Citations
4,357 Views
25 Pages

7 November 2020

We investigated the change in terminus position between 1985 and 2015 of 17 marine-terminating glaciers that drain into Disko and Uummannaq Bays, West Greenland, by manually digitizing over 5000 individual frontal positions from over 1200 Landsat ima...

  • Article
  • Open Access
21 Citations
5,818 Views
29 Pages

Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches

  • Zsuzsanna Csatáriné Szabó,
  • Tomáš Mikita,
  • Gábor Négyesi,
  • Orsolya Gyöngyi Varga,
  • Péter Burai,
  • László Takács-Szilágyi and
  • Szilárd Szabó

7 November 2020

Floodplains are valuable scenes of water management and nature conservation. A better understanding of their geomorphological characteristic helps to understand the main processes involved. We performed a classification of floodplain forms in a natur...

  • Article
  • Open Access
3,018 Views
20 Pages

6 November 2020

Navigation systems used for the motion correction (MOCO) of radar terrain images have several limitations, including the maximum duration of the measurement session, the time duration of the synthetic aperture, and only focusing on minimizing long-te...

  • Article
  • Open Access
23 Citations
4,518 Views
13 Pages

Improving the Retrieval of Carbon-Based Phytoplankton Biomass from Satellite Ocean Colour Observations

  • Marco Bellacicco,
  • Jaime Pitarch,
  • Emanuele Organelli,
  • Victor Martinez-Vicente,
  • Gianluca Volpe and
  • Salvatore Marullo

6 November 2020

Phytoplankton is at the base of the marine food web and plays a fundamental role in the global carbon cycle. Ongoing climate change significantly impacts phytoplankton distribution in the ocean. Monitoring phytoplankton is crucial for a full understa...

  • Article
  • Open Access
30 Citations
4,982 Views
22 Pages

6 November 2020

Evapotranspiration (ET) is an important component of the Earth’s energy and water cycle via the interaction between the atmosphere and the land surface. The reference evapotranspiration (ET0) is particularly important in the croplands because i...

  • Article
  • Open Access
7 Citations
2,775 Views
19 Pages

6 November 2020

Widespread and long-lasting drought disasters can aggravate environmental degradation. They can lead to significant economic losses and even affect social stability. The existing drought index mostly chose arid and semi-arid regions as study areas, b...

  • Article
  • Open Access
26 Citations
5,214 Views
27 Pages

Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning

  • Pan Xiong,
  • Cheng Long,
  • Huiyu Zhou,
  • Roberto Battiston,
  • Xuemin Zhang and
  • Xuhui Shen

6 November 2020

The low-altitude satellite DEMETER recorded many cases of ionospheric perturbations observed on occasion of large seismic events. In this paper, we explore 16 spot-checking classification algorithms, among which, the top classifier with low-frequency...

  • Article
  • Open Access
9 Citations
4,330 Views
17 Pages

6 November 2020

Croplands are commonly mapped using time series of remotely sensed images. The dynamic time warping (DTW) algorithm is an effective method for realizing this. However, DTW algorithm faces the challenge of capturing complete and accurate representativ...

  • Article
  • Open Access
50 Citations
8,937 Views
22 Pages

6 November 2020

Understanding the spatial distribution of populations at a finer spatial scale has important value for many applications, such as disaster risk rescue operations, business decision-making, and regional planning. In this study, a random forest (RF)-ba...

  • Article
  • Open Access
4 Citations
3,311 Views
15 Pages

6 November 2020

Precise orbit determination (POD) using GNSS has been rapidly developed and is the mainstream technology for the navigation of low Earth orbit (LEO) satellites. The initialization of orbit parameters is a key prerequisite for LEO POD processing. For...

  • Article
  • Open Access
47 Citations
6,985 Views
18 Pages

Oil Spill Detection and Mapping: A 50-Year Bibliometric Analysis

  • Rodrigo N. Vasconcelos,
  • André T. Cunha Lima,
  • Carlos A. D. Lentini,
  • Garcia V. Miranda,
  • Luís F. Mendonça,
  • Marcus A. Silva,
  • Elaine C. B. Cambuí,
  • José M. Lopes and
  • Milton J. Porsani

6 November 2020

Oil spill detection and mapping (OSPM) is an extremely relevant issue from a scientific point of view due to the environmental impact on coastal and marine ecosystems. In this study, we present a new approach to assess scientific literature for the p...

  • Article
  • Open Access
11 Citations
3,776 Views
19 Pages

6 November 2020

Ocean tidal backwater reshapes the stage–discharge relation in the fluvial-to-marine transition zone at estuaries, rendering the cautious use of these data for hydrological studies. While a qualitative explanation is traditionally provided by e...

  • Article
  • Open Access
53 Citations
7,843 Views
21 Pages

Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry

  • Xiaojuan Lin,
  • Min Xu,
  • Chunxiang Cao,
  • Yongfeng Dang,
  • Barjeece Bashir,
  • Bo Xie and
  • Zhibin Huang

6 November 2020

Forest canopy height is an indispensable forest vertical structure parameter for understanding the carbon cycle and forest ecosystem services. A variety of studies based on spaceborne Lidar, such as ICESat, ICESat-2 and airborne Lidar, were conducted...

  • Article
  • Open Access
12 Citations
4,946 Views
24 Pages

Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan

  • Zain Nawaz,
  • Xin Li,
  • Yingying Chen,
  • Naima Nawaz,
  • Rabia Gull and
  • Abdelrazek Elnashar

6 November 2020

Spatial and temporal precipitation data acquisition is highly important for hydro-meteorological applications. Gridded precipitation products (GPPs) offer an opportunity to estimate precipitation at different time and resolution. Though, the products...

  • Article
  • Open Access
12 Citations
3,632 Views
22 Pages

Suppression of Wind Ripples and Microwave Backscattering Due to Turbulence Generated by Breaking Surface Waves

  • Stanislav A. Ermakov,
  • Vladimir A. Dobrokhotov,
  • Irina A. Sergievskaya and
  • Ivan A. Kapustin

5 November 2020

The role of wave breaking in microwave backscattering from the sea surface is a problem of great importance for the development of theories and methods on ocean remote sensing, in particular for oil spill remote sensing. Recently it has been shown th...

  • Article
  • Open Access
19 Citations
3,274 Views
18 Pages

Multisensor Characterization of the Incandescent Jet Region of Lava Fountain-Fed Tephra Plumes

  • Luigi Mereu,
  • Simona Scollo,
  • Costanza Bonadonna,
  • Valentin Freret-Lorgeril and
  • Frank Silvio Marzano

5 November 2020

Explosive basaltic eruptions eject a great amount of pyroclastic material into the atmosphere, forming columns rising to several kilometers above the eruptive vent and causing significant disruption to both proximal and distal communities. Here, we a...

  • Article
  • Open Access
9 Citations
3,807 Views
16 Pages

5 November 2020

Object detection and recognition in aerial and remote sensing images has become a hot topic in the field of computer vision in recent years. As these images are usually taken from a bird’s-eye view, the targets often have different shapes and a...

  • Technical Note
  • Open Access
11 Citations
4,623 Views
16 Pages

Assessment of Wind Direction Estimation Methods from SAR Images

  • Alexandre Corazza,
  • Ali Khenchaf and
  • Fabrice Comblet

5 November 2020

Wind information on SAR images are essential to characterize a marine environment in offshore or coastal area. More and more applications require high resolution wind field estimation. In this article, classical wind wave direction estimation methods...

  • Article
  • Open Access
17 Citations
4,842 Views
17 Pages

Automated Canopy Delineation and Size Metrics Extraction for Strawberry Dry Weight Modeling Using Raster Analysis of High-Resolution Imagery

  • Amr Abd-Elrahman,
  • Zhen Guan,
  • Cheryl Dalid,
  • Vance Whitaker,
  • Katherine Britt,
  • Benjamin Wilkinson and
  • Ali Gonzalez

5 November 2020

Capturing high spatial resolution imagery is becoming a standard operation in many agricultural applications. The increased capacity for image capture necessitates corresponding advances in analysis algorithms. This study introduces automated raster...

  • Article
  • Open Access
4 Citations
3,166 Views
17 Pages

5 November 2020

Dark current in charge-coupled devices (CCDs) is one of the most important sources of impulsive noise present in scientific images. While the dark current originating in the fabrication defects (mainly impurities) is stable and dependent only on temp...

  • Letter
  • Open Access
9 Citations
3,543 Views
11 Pages

5 November 2020

A substantial proportion of Italian students are unaware of the connection between what they learn at school and their work opportunities .This proportion would most likely increase if data were collected today, given the generation of a broad range...

  • Article
  • Open Access
81 Citations
11,972 Views
19 Pages

Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data

  • Angel Fernandez-Carrillo,
  • Zdeněk Patočka,
  • Lumír Dobrovolný,
  • Antonio Franco-Nieto and
  • Beatriz Revilla-Romero

5 November 2020

Over the last decades, climate change has triggered an increase in the frequency of spruce bark beetle (Ips typographus L.) in Central Europe. More than 50% of forests in the Czech Republic are seriously threatened by this pest, leading to high ecolo...

  • Article
  • Open Access
13 Citations
3,475 Views
24 Pages

New Higher-Order Correction of GNSS RO Bending Angles Accounting for Ionospheric Asymmetry: Evaluation of Performance and Added Value

  • Congliang Liu,
  • Gottfried Kirchengast,
  • Stig Syndergaard,
  • Marc Schwaerz,
  • Julia Danzer and
  • Yueqiang Sun

5 November 2020

The residual ionospheric error (RIE) from higher-order terms in the refractive index is not negligible when using global navigation satellite system (GNSS) radio occultation (RO) data for climate and meteorology applications in the stratosphere. In t...

  • Article
  • Open Access
4 Citations
2,466 Views
18 Pages

5 November 2020

Two methods are widely used for evaluating the precision of satellite clock products, namely the single-satellite method (SSM) and the multi-satellite method (MSM). In the satellite clock product evaluation, an important issue is how to eliminate the...

  • Article
  • Open Access
5 Citations
4,295 Views
23 Pages

Theoretical Concept for a Mobile Underwater Radio-Navigation System Using Pseudolite Buoys

  • Anja Grosch,
  • Christoph Enneking,
  • Lukasz A. Greda,
  • Dariusz Tanajewski,
  • Grzegorz Grunwald and
  • Adam Ciećko

5 November 2020

Reliable and accurate positioning underwater has been the goal of many research activities in the last years. In this paper, we present our design of a self-maintainable underwater navigation system, which provides a simple, low-cost, and flexible so...

  • Article
  • Open Access
29 Citations
8,604 Views
19 Pages

Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices

  • Stefano Tavani,
  • Antonio Pignalosa,
  • Amerigo Corradetti,
  • Marco Mercuri,
  • Luca Smeraglia,
  • Umberto Riccardi,
  • Thomas Seers,
  • Terry Pavlis and
  • Andrea Billi

4 November 2020

Geotagged smartphone photos can be employed to build digital terrain models using structure from motion-multiview stereo (SfM-MVS) photogrammetry. Accelerometer, magnetometer, and gyroscope sensors integrated within consumer-grade smartphones can be...

  • Article
  • Open Access
44 Citations
9,070 Views
19 Pages

High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks

  • Rodrigo Trevisan,
  • Osvaldo Pérez,
  • Nathan Schmitz,
  • Brian Diers and
  • Nicolas Martin

4 November 2020

Soybean maturity is a trait of critical importance for the development of new soybean cultivars, nevertheless, its characterization based on visual ratings has many challenges. Unmanned aerial vehicles (UAVs) imagery-based high-throughput phenotyping...

  • Article
  • Open Access
36 Citations
9,029 Views
22 Pages

Land Cover Dynamics and Mangrove Degradation in the Niger Delta Region

  • Iliya Ishaku Nababa,
  • Elias Symeonakis,
  • Sotirios Koukoulas,
  • Thomas P. Higginbottom,
  • Gina Cavan and
  • Stuart Marsden

4 November 2020

The Niger Delta Region is the largest river delta in Africa and features the fifth largest mangrove forest on Earth. It provides numerous ecosystem services to the local populations and holds a wealth of biodiversity. However, due to the oil and gas...

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Remote Sens. - ISSN 2072-4292