Geoacoustic and Geological Characterization of Surficial Marine Sediments by In Situ Probe and Remote Sensing Techniques

One of the most relevant applications of Remote Sensing (RS) techniques is related to the analysis and the characterization of Land Cover (LC) and its change, very useful to efficiently undertake land planning and management policies. Here, a case study is described, conducted in the area of Avellino (Southern Italy) by means of RS in combination with GIS and landscape metrics. A multi-temporal dataset of RS imagery has been used: aerial photos (1954, 1974, 1990), Landsat images (MSS 1975, TM 1985 and 1993, ETM+ 2004), and digital orthophotos (1994 and 2006). To characterize the dynamics of changes during a fifty year period (1954-2004), the approach has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. Aerial photos and satellite images have been classified to obtain maps of LC changes, for fixed intervals: 1954-1985 and 1985-2004. LC pattern and its change are linked to both natural and social processes, whose driving role has been clearly demonstrated in the case analysed. In fact, after the disastrous Irpinia earthquake (1980), the local specific zoning laws and urban plans have significantly addressed landscape changes.

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In-situ measurements of the ice flow motion at Eqip Sermia Glacier using a remotely controlled UAV

10.5194/gi-2019-6 ◽

2019 ◽

Cited By ~ 1

Author(s):

Guillaume Jouvet ◽

Eef van Dongen ◽

Martin P. Lüthi ◽

Andreas Vieli

Keyword(s):

Remote Sensing ◽

Template Matching ◽

In Situ Measurements ◽

In Situ Monitoring ◽

High Temporal Resolution ◽

Ice Flow ◽

Flow Motion ◽

Remote Sensing Techniques ◽

Matching Techniques

Abstract. Measuring the ice flow motion accurately is essential to better understand the time evolution of glaciers and ice sheets, and therefore to better anticipate the future consequence of climate change in terms of sea-level rise. Although there exist a variety of remote sensing methods to fill this task, in-situ measurements are always needed for validation or to capture high temporal resolution movements. Yet glaciers are in general hostile environments where the installation of instruments might be tedious and risky when not impossible. Here we report the first-ever in-situ measurements of ice flow motion using a remotely controlled Unmanned Aerial Vehicle (UAV). We used a multicopter UAV to land on a highly crevassed area of Eqip Sermia Glacier, West Greenland, to measure the displacement of the glacial surface with the aid of an on-board differential GNSS receiver. Despite the unfortunate loss of the UAV, we measured approximately 70 cm of displacement over 4.36 hours without setting foot onto the glacier – a result validated by applying UAV photogrammetry and template matching techniques. Our study demonstrates that UAVs are promising instruments for in-situ monitoring, and have a great potential for capturing short-term ice flow variations in inaccessible glaciers – a task that remote sensing techniques can hardly achieve.

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Special Issue on Remote Sensing of Snow and Its Applications

Geosciences ◽

10.3390/geosciences9060277 ◽

2019 ◽

Vol 9 (6) ◽

pp. 277 ◽

Cited By ~ 1

Author(s):

Ali Nadir Arslan ◽

Zuhal Akyürek

Keyword(s):

Remote Sensing ◽

Snow Cover ◽

Land Surface ◽

Climate Models ◽

Weather Forecasting ◽

Special Issue ◽

Carbon Cycles ◽

Wide Range ◽

Remote Sensing Techniques

Snow cover is an essential climate variable directly affecting the Earth’s energy balance. Snow cover has a number of important physical properties that exert an influence on global and regional energy, water, and carbon cycles. Remote sensing provides a good understanding of snow cover and enable snow cover information to be assimilated into hydrological, land surface, meteorological, and climate models for predicting snowmelt runoff, snow water resources, and to warn about snow-related natural hazards. The main objectives of this Special Issue, “Remote Sensing of Snow and Its Applications” in Geosciences are to present a wide range of topics such as (1) remote sensing techniques and methods for snow, (2) modeling, retrieval algorithms, and in-situ measurements of snow parameters, (3) multi-source and multi-sensor remote sensing of snow, (4) remote sensing and model integrated approaches of snow, and (5) applications where remotely sensed snow information is used for weather forecasting, flooding, avalanche, water management, traffic, health and sport, agriculture and forestry, climate scenarios, etc. It is very important to understand (a) differences and similarities, (b) representativeness and applicability, (c) accuracy and sources of error in measuring of snow both in-situ and remote sensing and assimilating snow into hydrological, land surface, meteorological, and climate models. This Special Issue contains nine articles and covers some of the topics we listed above.

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Remote Sensing

Meteorological Monographs ◽

10.1175/amsmonographs-d-16-0015.1 ◽

2017 ◽

Vol 58 ◽

pp. 10.1-10.21 ◽

Cited By ~ 3

Author(s):

J. Bühl ◽

S. Alexander ◽

S. Crewell ◽

A. Heymsfield ◽

H. Kalesse ◽

...

Keyword(s):

Remote Sensing ◽

In Situ Measurements ◽

Ice Formation ◽

Literature Study ◽

Passive Remote Sensing ◽

Level Information ◽

Formation And Evolution ◽

Remote Sensing Techniques ◽

Remote Sensing Methods

Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the study of ice formation and evolution. This chapter has the intention of a literature study and should illustrate the major efforts that are currently taken in the field of remote sensing of atmospheric ice. Since other chapters of this monograph mainly focus on aircraft in situ measurements, special emphasis is put on active remote sensing instruments and synergies between aircraft in situ measurements and passive remote sensing methods. The chapter concentrates on homogeneous and heterogeneous ice formation in the troposphere because this is a major topic of this monograph. Furthermore, methods that deliver direct, process-level information about ice formation are elaborated with a special emphasis on active remote sensing methods. Passive remote sensing methods are also dealt with but only in the context of synergy with aircraft in situ measurements.

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Morphostructural characterization of the western edge of the Huila Plateau (SW Angola), based on remote sensing techniques

Journal of African Earth Sciences ◽

10.1016/j.jafrearsci.2016.01.007 ◽

2016 ◽

Vol 117 ◽

pp. 114-123 ◽

Cited By ~ 8

Author(s):

Fernando Carlos Lopes ◽

Alcides José Pereira ◽

Vasco Manuel Mantas ◽

Horácio Kativa Mpengo

Keyword(s):

Remote Sensing ◽

Remote Sensing Techniques

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Airborne observations of aerosol extinction by in situ and remote-sensing techniques: Evaluation of particle hygroscopicity

Geophysical Research Letters ◽

10.1029/2012gl054428 ◽

2013 ◽

Vol 40 (2) ◽

pp. 417-422 ◽

Cited By ~ 52

Author(s):

Luke D. Ziemba ◽

K. Lee Thornhill ◽

Rich Ferrare ◽

John Barrick ◽

Andreas J. Beyersdorf ◽

...

Keyword(s):

Remote Sensing ◽

Aerosol Extinction ◽

Remote Sensing Techniques

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Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H<sub>2</sub>O,<i>δ</i>D} pairs – a review

Atmospheric Measurement Techniques ◽

10.5194/amt-9-2845-2016 ◽

2016 ◽

Vol 9 (7) ◽

pp. 2845-2875 ◽

Cited By ~ 22

Author(s):

Matthias Schneider ◽

Andreas Wiegele ◽

Sabine Barthlott ◽

Yenny González ◽

Emanuel Christner ◽

...

Keyword(s):

Remote Sensing ◽

Measurement Techniques ◽

Remote Sensing Data ◽

Global Scale ◽

Horizontal Resolution ◽

Atmospheric Composition ◽

Remote Sensing Techniques ◽

Middle Infrared

Abstract. In the lower/middle troposphere, {H2O,δD} pairs are good proxies for moisture pathways; however, their observation, in particular when using remote sensing techniques, is challenging. The project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) addresses this challenge by integrating the remote sensing with in situ measurement techniques. The aim is to retrieve calibrated tropospheric {H2O,δD} pairs from the middle infrared spectra measured from ground by FTIR (Fourier transform infrared) spectrometers of the NDACC (Network for the Detection of Atmospheric Composition Change) and the thermal nadir spectra measured by IASI (Infrared Atmospheric Sounding Interferometer) aboard the MetOp satellites. In this paper, we present the final MUSICA products, and discuss the characteristics and potential of the NDACC/FTIR and MetOp/IASI {H2O,δD} data pairs. First, we briefly resume the particularities of an {H2O,δD} pair retrieval. Second, we show that the remote sensing data of the final product version are absolutely calibrated with respect to H2O and δD in situ profile references measured in the subtropics, between 0 and 7 km. Third, we reveal that the {H2O,δD} pair distributions obtained from the different remote sensors are consistent and allow distinct lower/middle tropospheric moisture pathways to be identified in agreement with multi-year in situ references. Fourth, we document the possibilities of the NDACC/FTIR instruments for climatological studies (due to long-term monitoring) and of the MetOp/IASI sensors for observing diurnal signals on a quasi-global scale and with high horizontal resolution. Fifth, we discuss the risk of misinterpreting {H2O,δD} pair distributions due to incomplete processing of the remote sensing products.

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