Remote Sensing Perspective Research Articles

Natural Aerosols, Gaseous Precursors and Their Impacts in Greece: A Review from the Remote Sensing Perspective

The Mediterranean, and particularly its Eastern basin, is a crossroad of air masses advected from Europe, Asia and Africa. Anthropogenic emissions from its megacities meet over the Eastern Mediterranean, with natural emissions from the Saharan and Middle East deserts, smoke from frequent forest fires, background marine and pollen particles emitted from ocean and vegetation, respectively. This mixture of natural aerosols and gaseous precursors (Short-Lived Climate Forcers—SLCFs in IPCC has short atmospheric residence times but strongly affects radiation and cloud formation, contributing the largest uncertainty to estimates and interpretations of the changing cloud and precipitation patterns across the basin. The SLCFs’ global forcing is comparable in magnitude to that of the long-lived greenhouse gases; however, the local forcing by SLCFs can far exceed those of the long-lived gases, according to the Intergovernmental Panel on Climate Change (IPCC). Monitoring the spatiotemporal distribution of SLCFs using remote sensing techniques is important for understanding their properties along with aging processes and impacts on radiation, clouds, weather and climate. This article reviews the current state of scientific know-how on the properties and trends of SLCFs in the Eastern Mediterranean along with their regional interactions and impacts, depicted by ground- and space-based remote sensing techniques.

The Relation between Atmospheric Aerosol Concentration and SARS-CoV-2 Variants’ Infection and Mortality Rates in the United States: A Remote-Sensing Perspective

The Relation between Atmospheric Aerosol Concentration and SARS-CoV-2 Variants’ Infection and Mortality Rates in the United States: A Remote-Sensing Perspective

Assessing the urbanization-induced impact on environmental parameters of a city from a remote-sensing perspective

An unplanned urban sprawl is a significant challenge for cities in developing nations. Such growth damages the environmental fabric (quality) of the city. The environmental parameters that are mainly affected due to urbanization need to be monitored for sustainable urban development. Hence, it becomes essential to adopt a sustainable framework for a thorough critical examination of environmental parameters that are altered due to urbanization as its consequence. Thus, this paper analyses the spatial-temporal changes that occurred in three vital environmental parameters: Land Surface Temperature (LST), Vegetation Cover (VC), and Particulate Matter (PM2.5), due to unplanned urbanization in the Bhopal city of Madhya Pradesh state in India. The study evaluates the relationship among these parameters. Then, an Environmental Quality Index (EQI) is quantified from 2000 to 2020 to analyse the environmental quality of the city. Further, a trend analysis for these parameters and the EQI is done. Based on the results of EQI, the city's environmental quality is classified. The findings show that in various parts of the city, LST and PM2.5 were found to be increased by 1–2 °C and 23–25 μg/m3, respectively. The severity analysis of the EQI revealed that environmental quality was found to be good to moderate in 2005 whereas, it deteriorated to poor and very poor levels by the year 2020. Overall results show that severe environmental degradation was significant in some specific locations in dense urbanization, heavy traffic areas, industrial zones, and major highways. The research reveals the environmental consequences of unplanned urbanization, offering valuable insights for policymakers and urban designers to improve the quality of urbanization and advance sustainable development. It also suggests strategies and policy interventions for managing industrial and vehicular pollutants and advocates the vital role of urban greening, which can aid in raising the quality of the urban environment.

Exploring the Spatial and Temporal Characteristics of China’s Four Major Urban Agglomerations in the Luminous Remote Sensing Perspective

This study addresses the knowledge gap regarding the spatiotemporal evolution of Chinese urban agglomerations using long time series of luminescence remote sensing data. The evolution of urban agglomerations is of great significance for the future development and planning of cities. Nighttime light data provide a window for observing urban agglomerations’ characteristics on a large spatial scale, but they are affected by temporal discontinuity. To solve this problem, this study proposes a ridge-sampling regression-based Hadamard matrix correction method and constructs consistent long-term nighttime light sequences for China’s four major urban agglomerations from 1992 to 2018. Using the Getis-Ord Gi* hot-cold spot, standard deviation ellipse method, and Baidu search index, we comprehensively analyze the directional evolution of urban agglomerations and the correlations between cities. The results show that, after correction, the correlation coefficient between nighttime light intensity and gross domestic product increased from 0.30 to 0.43. Furthermore, this study identifies unique features of each urban agglomeration. The Yangtze River Delta urban agglomeration achieved balanced development by shifting from coastal to inland areas. The Guangdong-Hong Kong-Macao urban agglomeration developed earlier and grew more slowly in the north due to topographical barriers. The Beijing-Tianjin-Hebei urban agglomeration in the north has Beijing and Tianjin as its core, and the southeastern region has developed rapidly, showing an obvious imbalance in development. The Chengdu-Chongqing urban agglomeration in the inland area has Chengdu and Chongqing as its dual core, and its development has been significantly slower than that of the other three agglomerations due to the influence of topography, but it has great potential. Overall, this study provides a research framework for urban agglomerations based on four major urban agglomerations to explore their spatiotemporal characteristics and offers insights for government urban planning.

Mangrove monitoring in Lothian Island using airborne hyperspectral AVIRIS-NG data

Constant monitoring of the mangroves is important for understanding their health species assemblage and undertaking policies to rehabilitate or restore them. In this study, an attempt was made to classify and detect health and carbon stock in mangroves through a Remote Sensing perspective. The AVIRIS-NG dataset with high spectral (5 nm) and spatial (5 m) resolution proved to be capable of identifying different species of the same mangrove genus along with other morphological features. Using Spectral Angle Mapper (SAM) classification technique, 75% accuracy has been achieved over 12 separate classes. The health of the Lothian Island mangroves was evaluated by using eight different vegetation indices, namely ACI, ARI, MARI, ARVI, CAI, CARI, Chl-red-edge, and REPI. The vegetation indices were normalized and then used as input in a Multi-Criteria Decision Support System (MCDSS) model. The MCDSS model output health map clearly identifies the degraded and healthy mangroves on Lothian Island. The Lothian Island mangroves were found to be degraded in most of the region, which should be of major concern. Above Ground Biomass (AGB), which is another indicator of health, was calculated using Field measured data and AVIRIS-NG hyperspectral data. The highest, lowest, and mean biomass recorded in field transact is 507.19 and 7.39 and 126.43 tonnes, respectively. These three parameters, namely species assemblage of mangroves, their health, and AGB combined can provide much insight into the ecosystem health of Lothian Island.

「大学における48年間の研究・教育をふり返って―リモートセンシングを中心に― その2」

「大学における48年間の研究・教育をふり返って―リモートセンシングを中心に― その2」

「大学における48年間の研究・教育をふり返って ―リモートセンシングを中心に― その1」

「大学における48年間の研究・教育をふり返って ―リモートセンシングを中心に― その1」

Satellite observations of suspended sediment near Ningbo North Dyke, China

We investigated the impact of the Ningbo North Dyke (NND) built in 2012–2014 in the coastal waterway of East China Sea on local suspended sediment concentration (SSC). Several multi-spectral satellite images acquired by the Landsat Thematic Mapper (TM)/Operational Land Imager (OLI) in 2008–2017 were used. We analyzed the change of SSC and spectral curves of study area around small NND (the NND’s total length less than 1 km) using a prior model proposed in our previous study. We found that SSC near NND in the Meishan Waterway decreased after the NND construction by 200–300 mg/l, so that clean blue water is now observed in the Meishan Waterway, apparently thanks to stable dynamic environment in presence of NND. Our results reveal the impact of a small coastal dyke with length less than 1 km on the movement and distribution of SSC from a remote-sensing perspective.

Deforestation or Reforestation, A Time Series Remote Sensing Perspective of Wilpattu National Park, Sri Lanka

Deforestation or Reforestation, A Time Series Remote Sensing Perspective of Wilpattu National Park, Sri Lanka

Characterization of soil deformation due to blast-induced liquefaction by UAV-based photogrammetry and terrestrial laser scanning

ABSTRACTSoil liquefaction due to an earthquake can lead to permanent soil deformation and reduction of load-bearing capacity that in turn could act on building stability. Since a quantitative evaluation of post-liquefaction settlements is often very difficult, field scale liquefaction tests, carried out under controlled conditions, such as blast tests, are used to perform a correct quantitative analysis of the liquefaction phenomena. Among the significant parameters related to a blast test, there are the geometric ones, i.e. the extension of the area affected by the blast-induced liquefaction and the corresponding vertical displacements. This article shows the results of a blast test carried out at a trial site located in Mirabello (Ferrara, Italy) from a remote-sensing perspective. Data provided by aerial Structure-from-Motion photogrammetry, supported by terrestrial laser scanning measurements, were used to evaluate the soil deformation that, in the specific case study, aided a geological/geotechnical interpretation of the blast test results. In general, the proposed method can be used to characterize areas affected by blast-induced liquefaction, including those cases where blasting is used as ground improvement technique aimed at mitigating the seismic hazard.

Drought Dynamics and Vegetation Productivity in Different Land Management Systems of Eastern Cape, South Africa—A Remote Sensing Perspective

Eastern Cape Province in South Africa has experienced extreme drought events during the last decade. In South Africa, different land management systems exist belonging to two different land tenure classes: commercial large scale farming and communal small-scale subsistence farming. Communal lands are often reported to be affected by land degradation and drought events among others considered as trigger for this process. Against this background, we analyzed vegetation response to drought in different land management and land tenure systems through assessing vegetation productivity trends and monitoring the intensity, frequency and distribution of the drought hazard in grasslands and communal and commercial croplands during drought and non-drought conditions. For the observation period 2000–2016, we used time series of 250 m Vegetation Condition Index (VCI) based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) and Climate Hazard Group InfraRed Precipitation with Station data (CHIRPS) precipitation data with 5 km resolution. For the assessment of vegetation dynamics, we: (1) analyzed vegetation productivity in Eastern Cape over the last 16 years with EVI; (2) analyzed the impact of drought events on vegetation productivity in grasslands as well as commercial and communal croplands; and (3) compared precipitation-vegetation dynamics between the drought season 2015/2016 and the non-drought season 2011/2012. Change in total annual vegetation productivity could detect drought years while drought dynamics during the season could be rather monitored by the VCI. Correlation of vegetation condition and precipitation indicated areas experiencing significant vegetation productivity trends showing low and even negative correlation coefficients indicating other drivers for productivity change and drought impact besides rainfall.

The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective

Sutherlandia frutescens is a popular South African plant commercially available in a range of formulations. However, reference standards for quality and stability assessment are lacking. This work reports the development and validation of a reversed phase HPLC method for the analysis of flavonoid glycosides and their corresponding aglycones in S. frutescens products. Five materials containing either leaf powder (LP) or spray-dried aqueous extract (SDAE) of S. frutescens were analysed for flavonoid content. A primary objective was to isolate non-commercially available flavonoid glycoside compounds (sutherlandins) for use as reference standards. Sutherlandins A, B, C and D were successfully isolated, and used, with other flavonoid compounds for HPLC assay development. The developed HPLC method was linear in the range of 0.2 to 60 μg/ml for quercitrin; 0.2 to 120 μg/ml for quercetin and kaempferol; 0.2 to 200 μg/ml for rutin and kaempferol-3-O-rutinoside; 4 to 180 μg/ml for sutherlandins A and D; and 4 to 200 μg/ml for sutherlandins B and C. Percentage content of sutherlandins A, B, C and D, quercetin and kaempferol in different plant materials were significantly different (P<0.001). The developed HPLC method is simple, precise and robust; and can be employed for the simultaneous determination of flavonoid glycosides and aglycones for quality control of S. frutescens products.

The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective

Solar energy systems directly benefit the environment by avoiding CO2 emissions that would otherwise be generated from fossil-fuel power plants. Indirect impacts to climate may also result at local-, regional-, and globalscales, but these impacts are as yet poorly understood and characterized. Widespread deployment of utility-scale solar energy (USSE) installations may alter the radiative balance at the land-atmosphere interface by shifting radiative forcing that eventually changes climate. When USSE installations displace cropland or desert surface, this deployment introduces complicated effects on local radiative forcing. This article presents for the first time satellitebased measurements to assess USSE impacts on earth-atmosphere interactions relating to climate feedbacks. Long-term shortwave albedo and longwave emissivity data derived from NASA satellites were used for this case study to assess the potential radiative balance effects of USSE deployment. The results show that USSE deployment appears to change albedo and emissivity. Albedo decreased and emissivity generally increased in two of three instances when a USSE installation was constructed in semi-arid regions.

Advanced InSAR techniques for deformation studies and for simulating the PS-assisted calibration procedure of Sentinel-1 data: case study from Thessaloniki (Greece), based on the Envisat/ASAR archive

ABSTRACTUsing state-of-the-art InSAR techniques, namely persistent scatterers (PSs) and small baseline subset (SBAS) approaches, this study contributes to open geotechnical questions in the area of Thessaloniki (Greece) from a remote-sensing perspective. It also demonstrates the potential of these techniques for calibration purposes, with reference to the new C-band synthetic aperture radar (SAR) sensor on board the Sentinel-1 mission satellites. By exploiting the historical archive of Envisat/ASAR data, as well as a pair of the first Sentinel-1A SAR images, recent (2004–2010) deformation rates up to 18 mm year–1 are detected over the study area. These results are then compared to the findings of previous InSAR and geophysical observations, indicating for example, subsidence or tectonic activity. On the other hand, the usefulness of the PS technique is shown over the same region for external SAR calibration purposes. This process simulates the PS-assisted calibration procedure to be applied systematically to Sentinel-1 SAR products.

Remote-sensing perspective and GPR subsurface perception on the growth of a recently emerged spit at Talashil coast, west coast of India

The growth as well as the internal structure of the recently emerged Talashil spit along the west coast of India was studied using multidate satellite images coupled with ground-penetrating radar (GPR) information. Decadal changes (2003–2013) in configuration, geomorphology and erosion and accretion pockets along the spit were traced and compared. A 170 m long subsurface profile across the spit from shoreline to river shore was generated using GPR. Historical satellite images from 1973 to 2013 illustrate a rapid transformation of a linear sand bar into a matured spit. The growth trend over the period 2003–2013 shows mainly accretion along the seashore and erosion along the river shore. Three dynamic hot spot locations were noticed where erosion and accretion were alternately dominating. The radar facies clearly distinguishes zones of fluvial, dune and inter-tidal dominance and substantiates the interpretation of the satellite images. This study indicates spit formation following build up and emergence of a submerged shoal due to fluvial sedimentation, after which an equilibrium between erosion and accumulation was reached. The data indicate that the growth of the spit has reached its mature stage and only lateral oscillation of the spit is likely in the future unless sizable disturbances caused by either tectonic or anthropogenic processes influence this region.

A Remote Sensing Perspective on Shoreline Modification, Canal Construction and Household Trajectories at Pineland along Florida's Southwestern Gulf Coast

ABSTRACTIn 2011, we initiated a geophysical survey of the Pineland Site Complex. The complex is comprised of two imposing residential midden‐mound groups, two sand burial mounds and several linear (and other) middens along previous shorelines, and a canal system that not only integrated features within the site complex, but also served to connect it to the interior of Pine Island and beyond. For 25 years, archaeologists associated with the Florida Museum of Natural History have conducted extensive investigations at the Complex, clarifying the site's intertwined environmental and human histories. Our research presented here provides additional data to confirm some of the hypotheses generated by this previous research. The geophysical results support previous ideas regarding formation and occupation of former shorelines by Pineland's early fisher–gatherer–hunters. Second, they provide better definition of a small, later‐period secondary canal, a component of the canal system. Most notably, the geophysical survey provides a basis for studying changes in household composition over time via the identification of house patterns in the resulting imaged data. We provide some speculations regarding this shift in residence patterns, suggesting that alterations may have been coeval with environmental changes. These changes may have set the stage for subsequent large‐scale cooperative labour projects, such as Pineland's waterways. Copyright © 2014 John Wiley &amp; Sons, Ltd.

Effect of black carbon on dust property retrievals from satellite observations

The effect of black carbon on the optical properties of polluted mineral dust is studied from a satellite remote-sensing perspective. By including the auxiliary data of surface reflectivity and aerosol mixing weight, the optical properties of mineral dust, or more specifically, the aerosol optical depth (AOD) and single-scattering albedo (SSA), can be retrieved with improved accuracy. Precomputed look-up tables based on the principle of the Deep Blue algorithm are utilized in the retrieval. The mean differences between the retrieved results and the corresponding ground-based measurements are smaller than 1% for both AOD and SSA in the case of pure dust. However, the retrievals can be underestimated by as much as 11.9% for AOD and overestimated by up to 4.1% for SSA in the case of polluted dust with an estimated 10% (in terms of the number-density mixing ratio) of soot aggregates if the black carbon effect on dust aerosols is neglected.

The future of fisheries science in management: a remote-sensing perspective

Abstract Stuart, V., Platt, T., and Sathyendranath, S. 2011. The future of fisheries science in management: a remote-sensing perspective. – ICES Journal of Marine Science, 68: 644–650. Earth observation from satellites offers vast potential for fisheries applications, including management of marine resources, stock assessment, marine aquaculture, and fish harvesting. One of the most promising avenues for the use of satellite data for fisheries science in management lies in quantifying objectively the variables that result in large and small year classes of exploited stocks. The influence of fluctuations in the availability of food in the critical period of larval stages can be investigated through the application of ecological indicators describing the variability of the pelagic ecosystem at a given time and place. These indices can increase our understanding of the relationship between ecosystem factors and the recruitment of key species. Despite the many demonstration applications published to date, little use is being made of satellite data to support fisheries science in management. We discuss some of the obstacles that lie in the way of the operational use of satellite data and suggest actions that could facilitate its broader application.

Satellite remote sensing of sea-ice thickness and kinematics: a review

AbstractObservations of sea-ice thickness and kinematics are essential for understanding changes in sea-ice mass balance, interactions between the ice cover and the ocean and atmosphere and for improving projections of sea-ice response in a warming climate. These parameters are not directly observable with current sensor technology, but are derived from satellite altimetry and imagery. While there is progress in the retrievals of Arctic sea-ice thickness from satellite altimetry, approaches to address Southern Ocean ice thickness require additional attention. On the other hand, procedures to derive sea-ice motion from satellite imagery are more mature and better understood and have been employed to produce useful results for more than a decade. Adequate sampling of sub-daily ice motion, however, remains a challenge. Generally, satellite instruments provide large-scale coverage but the frequency of temporal sampling is limited by orbit characteristics. In this review, I focus on the approaches, uncertainties, sampling limitations and validation issues associated with the estimation of sea-ice thickness and motion. I provide a summary of current and anticipated capabilities for monitoring sea-ice thickness and kinematics from space. The prospects for continuing these measurements into the next decade, from a satellite remote-sensing perspective, are discussed.

Introductory Digital Image Processing: A Remote Sensing Perspective, Third Edition

Book Review| January 01, 2007 Introductory Digital Image Processing: A Remote Sensing Perspective, Third Edition Tanya S. Unger Holtz Tanya S. Unger Holtz 1INTERA Inc., PO Box 818, 137 Second Avenue, Niwot, CO 80026 Search for other works by this author on: GSW Google Scholar Author and Article Information Tanya S. Unger Holtz 1INTERA Inc., PO Box 818, 137 Second Avenue, Niwot, CO 80026 Publisher: Association of Environmental & Engineering Geologists First Online: 09 Mar 2017 Online Issn: 1558-9161 Print Issn: 1078-7275 © 2007 Association of Engineering Geologists Environmental & Engineering Geoscience (2007) 13 (1): 89–90. https://doi.org/10.2113/gseegeosci.13.1.89 Article history First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Tanya S. Unger Holtz; Introductory Digital Image Processing: A Remote Sensing Perspective, Third Edition. Environmental & Engineering Geoscience 2007;; 13 (1): 89–90. doi: https://doi.org/10.2113/gseegeosci.13.1.89 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search IntroductoryDigital Image Processing: A Remote Sensing Perspective (3rd ed.), by John R. Jenson, is a complete and thorough introduction to and reference for remote sensing technologies and digital image processing techniques. The author writes a detailed account of a wide spectrum of remote sensing and digital image processing needs including data collection, processing hardware and software, image quality and statistical evaluation, visualization, principles of electromagnetic radiation, radiometric and geometric correction of remotely sensed data, image enhancement, information extraction, change detection analyses, and accuracy assessments. As stated by the author, “This book Author: Should the three line quotation in the... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.