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Article ; Online: Information Extraction and Population Estimates of Settlements from Historic Corona Satellite Imagery in the 1960s.

Stratoulias, Dimitris / Grekousis, George

2021 Volume 21, Issue 7

Abstract: The Corona satellite program was a historic reconnaissance mission which provided high spatial resolution panchromatic images during the Cold War era. Nevertheless, and despite the historic uniqueness and importance of the dataset, efforts to extract ... ...

Abstract	The Corona satellite program was a historic reconnaissance mission which provided high spatial resolution panchromatic images during the Cold War era. Nevertheless, and despite the historic uniqueness and importance of the dataset, efforts to extract tangible information from this dataset have primarily focused on visual interpretation. More sophisticated approaches have been either hampered or unrealized, often justified by the primitive quality of this early satellite product. In the current study we attempt to showcase the usability of Corona imagery outside the context of visual interpretation. Using a 1968 Corona image acquired over the city municipality of Plovdiv, Bulgaria, we reconstruct a panchromatic 1.8 m spatial resolution georegistered image with a relative displacement Root Mean Square Error (RMSE) of 6.616 (for x dimension) and 1.886 (for y dimension) and employ segmentation and texture analysis to discern agricultural parcels and settlements' footprints. Population statistics of this past era are retrieved from national census and related to settlements' footprints. An exponential relationship between the two variables was identified by applying a semi-log regression. The high adjusted R
Language	English
Publishing date	2021-04-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21072423
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Assessing the Spectral Information of Sentinel-1 and Sentinel-2 Satellites for Above-Ground Biomass Retrieval of a Tropical Forest

Stratoulias, Dimitris / Nuthammachot, Narissara / Suepa, Tanita / Phoungthong, Khamphe

ISPRS international journal of geo-information. 2022 Mar. 16, v. 11, no. 3

2022

Abstract: Earth Observation (EO) spectral indices have been an important tool for quantifying and monitoring forest biomass. Nevertheless, the selection of the bands and their combination is often realized based on preceding studies or generic assumptions. The ... ...

Abstract	Earth Observation (EO) spectral indices have been an important tool for quantifying and monitoring forest biomass. Nevertheless, the selection of the bands and their combination is often realized based on preceding studies or generic assumptions. The current study investigates the relationship between satellite spectral information and the Above Ground Biomass (AGB) of a major private forest on the island of Java, Indonesia. Biomass-related traits from a total of 1517 trees were sampled in situ and their AGB were estimated from species-specific allometric models. In parallel, the exhaustive band combinations of the Ratio Spectral Index (RSI) were derived from near-concurrently acquired Sentinel-1 and Sentinel-2 images. By applying scenarios based on the entire dataset, the prevalence and monodominance of acacia, mahogany, and teak tree species were investigated. The best-performing index for the entire dataset yielded R² = 0.70 (R² = 0.78 when considering only monodominant plots). An application of eight traditional vegetation indices provided, at best, R² = 0.65 for EVI, which is considerably lower compared to the RSI best combination. We suggest that an investigation of the complete band combinations as a proxy of retrieving biophysical parameters may provide more accurate results than the blind application of popular spectral indices and that this would take advantage of the amplified information obtained from modern satellite systems.
Keywords	Acacia ; Meliaceae ; Tectona grandis ; aboveground biomass ; allometry ; data collection ; private forestry ; satellites ; spatial data ; trees ; tropical forests ; Indonesia
Language	English
Dates of publication	2022-0316
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2655790-3
ISSN	2220-9964
ISSN	2220-9964
DOI	10.3390/ijgi11030199
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand.

Stratoulias, Dimitris / Nuthammachot, Narissara

The Science of the total environment

2020 Volume 746, Page(s) 141320

Abstract: The COVID-19 pandemic has triggered an industrial and financial slowdown due to unprecedented regulations imposed with the purpose to contain the spread of the virus. Consequently, the positive effect on the environment has been witnessed. One of the ... ...

Abstract	The COVID-19 pandemic has triggered an industrial and financial slowdown due to unprecedented regulations imposed with the purpose to contain the spread of the virus. Consequently, the positive effect on the environment has been witnessed. One of the most prominent evidences has been the drastic air quality improvement, as a direct consequence of lower emissions from reduced industrial activity. While several studies have demonstrated the validity of this hypothesis in mega-cities worldwide, it is still an unsubstantiated fact whether the same holds true for cities with a smaller urban extent and population. In the present study we investigate the temporal development of atmospheric constituent concentrations as retrieved concurrently from the Sentinel-5P satellite and a ground meteorological station. We focus on the period before and during the COVID-19 pandemic over the city of Hat Yai, Thailand and present the effect of the lockdown on the atmospheric quality over this average populated city (156,000 inhabitants). NO
MeSH term(s)	Air Pollutants/analysis ; Air Pollution/analysis ; Betacoronavirus ; COVID-19 ; Cities ; Coronavirus Infections ; Environmental Monitoring ; Humans ; Pandemics ; Particulate Matter/analysis ; Pneumonia, Viral ; SARS-CoV-2 ; Thailand/epidemiology
Chemical Substances	Air Pollutants ; Particulate Matter
Keywords	covid19
Language	English
Publishing date	2020-07-31
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.141320
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Photophysiology and Spectroscopy of Sun and Shade Leaves of Phragmites australis and the Effect on Patches of Different Densities

Stratoulias, Dimitris / Tóth, Viktor R

Remote Sensing. 2020 Jan. 06, v. 12, no. 1

2020

Abstract: Remote sensing of vegetation has largely been revolving around the measurement of passive or active electromagnetic radiation of the top of the canopy. Nevertheless, plants hold a vertical structure and different processes and intensities take place ... ...

Abstract	Remote sensing of vegetation has largely been revolving around the measurement of passive or active electromagnetic radiation of the top of the canopy. Nevertheless, plants hold a vertical structure and different processes and intensities take place within a plant organism depending on the environmental conditions. One of the main inputs for photosynthesis is photosynthetic active radiation (PAR) and a few studies have taken into account the effect of the qualitative and quantitative changes of the available PAR within the plants canopies. Mostly large plants (trees, shrubs) are affected by this phenomena, while signs of it could be observed in dense monocultures, too. Lake Balaton is a large lake with 12 km² dense reed stands, some of which have been suffering from reed die-back; consequently, the reed density and stress condition exhibit a vertical PAR variability within the canopy due to the structure and condition of the plants but also a horizontal variability attributed to the reedbed’s heterogeneous density. In this study we investigate the expression of photosynthetic and spectroscopic parameters in different PAR conditions. We concentrate on chlorophyll fluorescence as this is an early-stage indicator of stress manifestation in plants. We first investigate how these parameters differ across leaf samples which are exposed to a higher degree of PAR variability due to their vertical position in the reed culm (sun and shade leaves). In the second part, we concentrate on how the same parameters exhibit in reed patches of different densities. We then look into hyperspectral regions through graphs of coefficient of determination and associate the former with the physiological parameters. We report on the large variability found from measurements taken at different parts of the canopy and the association with spectral regions in the visible and near-infrared domain. We find that at low irradiance plants increase their acclimation to low light conditions. Plant density at Phragmites stands affects the vertical light attenuation and consequently the photophysiological response of basal leaves. Moreover, the hyperspectral response from the sun and shade leaves has been found to differ; charts of the coefficient of determination indicate that the spectral region around the red-edge inflection point for each case of sun and shade leaves correlate strongly with ETRₘₐₓ and α. When analysing the data cumulatively, independent of their vertical position within the stand, we found correlations of R² = 0.65 (band combination 696 and 651) and R² = 0.61 (band combination 636 and 642) for the ETRₘₐₓ and α, respectively.
Keywords	Phragmites australis ; acclimation ; canopy ; chlorophyll ; culms ; dieback ; environmental factors ; graphs ; lakes ; leaves ; light intensity ; photosynthesis ; photosynthetically active radiation ; plant density ; remote sensing ; shrubs ; spectroscopy ; trees ; vegetation
Language	English
Dates of publication	2020-0106
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs12010200
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Photophysiology and Spectroscopy of Sun and Shade Leaves of Phragmites australis and the Effect on Patches of Different Densities

Dimitris Stratoulias / Viktor R. Tóth

Remote Sensing, Vol 12, Iss 1, p

2020 Volume 200

Abstract	Remote sensing of vegetation has largely been revolving around the measurement of passive or active electromagnetic radiation of the top of the canopy. Nevertheless, plants hold a vertical structure and different processes and intensities take place within a plant organism depending on the environmental conditions. One of the main inputs for photosynthesis is photosynthetic active radiation (PAR) and a few studies have taken into account the effect of the qualitative and quantitative changes of the available PAR within the plants canopies. Mostly large plants (trees, shrubs) are affected by this phenomena, while signs of it could be observed in dense monocultures, too. Lake Balaton is a large lake with 12 km 2 dense reed stands, some of which have been suffering from reed die-back; consequently, the reed density and stress condition exhibit a vertical PAR variability within the canopy due to the structure and condition of the plants but also a horizontal variability attributed to the reedbed’s heterogeneous density. In this study we investigate the expression of photosynthetic and spectroscopic parameters in different PAR conditions. We concentrate on chlorophyll fluorescence as this is an early-stage indicator of stress manifestation in plants. We first investigate how these parameters differ across leaf samples which are exposed to a higher degree of PAR variability due to their vertical position in the reed culm (sun and shade leaves). In the second part, we concentrate on how the same parameters exhibit in reed patches of different densities. We then look into hyperspectral regions through graphs of coefficient of determination and associate the former with the physiological parameters. We report on the large variability found from measurements taken at different parts of the canopy and the association with spectral regions in the visible and near-infrared domain. We find that at low irradiance plants increase their acclimation to low light conditions. Plant density at Phragmites stands affects the vertical ...
Keywords	reed ; spectroscopy ; chlorophyll fluorescence ; photosynthesis ; foliar density ; par ; Science ; Q
Subject code	580
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: method and case study

Nuthammachot, Narissara / Stratoulias, Dimitris

Environment, development and sustainability. 2021 Dec., v. 23, no. 12

2021

Abstract: Fire is one of the main causes of environmental and ecosystem change. Geospatial data, derived from satellite images and surveying observations, are a useful tool in managing land use and land cover changes. In this paper, we present a multi-criteria- ... ...

Abstract	Fire is one of the main causes of environmental and ecosystem change. Geospatial data, derived from satellite images and surveying observations, are a useful tool in managing land use and land cover changes. In this paper, we present a multi-criteria-based geographical information system (GIS) for fire risk assessment and fire potential mapping in a peat swamp forest at Hua Sai district, Thailand. Fifty-five fire points in peat swamp areas were reported from 2012 to 2016. Analytic hierarchy process (AHP) and GIS methods were used synergistically to analyze the following contributing factors: elevation, slope, aspect, precipitation, distance from river, distance from settlement and land use. The results of the present study indicate that the predicted fire risk areas from the methodology proposed are found to be in agreement with recorded past fire events. The fire risk map produced can be used for planning and management of wildland fire events in the future. GIS multi-criteria-based models have been developed in the context of fire prognosis; however, most of them attribute weights from simple pair-wise comparisons; we showcase that the integration of AHP provides accurate results for this study area in Thailand.
Keywords	case studies ; ecosystems ; environment ; forest fires ; forests ; geographic information systems ; land use ; land use and land cover maps ; multi-criteria decision making ; peat ; prognosis ; risk ; risk assessment ; rivers ; satellites ; spatial data ; swamps ; Thailand
Language	English
Dates of publication	2021-12
Size	p. 17443-17458.
Publishing place	Springer Netherlands
Document type	Article
ZDB-ID	1438730-x
ISSN	1387-585X
ISSN	1387-585X
DOI	10.1007/s10668-021-01394-0
Database	NAL-Catalogue (AGRICOLA)

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Article: Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation

Nuthammachot, Narissara / Askar, Askar / Stratoulias, Dimitris / Wicaksono, Pramaditya

Geocarto international. 2022 Jan. 7, v. 37, no. 2

2022

Abstract: Above-ground Biomass (AGB) represents the largest amount of biomass found on earth. Passive and active remote sensors have been a useful tool in estimating AGB for this purpose; nevertheless, both data sources suffer from saturation problems in dense ... ...

Abstract	Above-ground Biomass (AGB) represents the largest amount of biomass found on earth. Passive and active remote sensors have been a useful tool in estimating AGB for this purpose; nevertheless, both data sources suffer from saturation problems in dense vegetation. A combination of optical and radar data could potentially increase the accuracy of AGB estimation. In this study we evaluate the synergistic use of Sentinel-1 and Sentinel-2 for assessing AGB in a private forest in Yogyakarta, Indonesia. Forty five sample plots of 20 m x 20 m were used as ground truth data. AGB correlated with Sentinel-1 backscatter and Sentinel-2 derived variables with R² = 0.34 and R² = 0.82, respectively; nevertheless, the synergistic use of Sentinel-1 and Sentinel-2 yielded the highest accuracy (i.e., R² = 0.84). The results indicate that AGB in Yogyakarta is most accurately estimated based on the synergy of optical and radar satellite images.
Keywords	aboveground biomass ; private forestry ; radar ; satellites ; vegetation ; Indonesia
Language	English
Dates of publication	2022-0107
Size	p. 366-376.
Publishing place	Taylor & Francis
Document type	Article
ISSN	1752-0762
DOI	10.1080/10106049.2020.1726507
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand

Stratoulias, Dimitris / Nuthammachot, Narissara

Science of The Total Environment

2020 Volume 746, Page(s) 141320

Keywords	Environmental Engineering ; Waste Management and Disposal ; Pollution ; Environmental Chemistry ; covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.141320
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery

Rachane Malinee / Dimitris Stratoulias / Narissara Nuthammachot

Agriculture, Vol 11, Iss 251, p

2021 Volume 251

Abstract: Oil palm ( Elaeis guineensis ) trees are an important contributor of recent economic development in Southeast Asia. The high product yield, and the consequent high profitability, has led to a widespread expansion of plantations in the greater region. ... ...

Abstract	Oil palm ( Elaeis guineensis ) trees are an important contributor of recent economic development in Southeast Asia. The high product yield, and the consequent high profitability, has led to a widespread expansion of plantations in the greater region. However, oil palms are susceptible to diseases that can have a detrimental effect. In this study we use hyper- and multi-spectral remote sensing to detect diseased oil palm trees in Krabi province, Thailand. Proximate spectroscopic measurements were used to identify and discern differences in leaf spectral radiance; the results indicate a relatively higher radiance in visible and near-infrared for the healthy leaves in comparison to the diseased. From a total of 113 samples for which the geolocation and the hyperspectral radiance were recorded, 59 and 54 samples were healthy and diseased oil palm trees, respectively. Moreover, a WorldView-2 satellite image was used to investigate the usability of traditional vegetation indices and subsequently detecting diseased oil palm trees. The results show that the overall maximum likelihood classification accuracy is 85.98%, the Kappa coefficient 0.71 and the producer’s accuracy for healthy and diseased oil palm trees 83.33 and 78.95, respectively. We conclude that high spatial and spectral resolutions can play a vital role in monitoring diseases in oil palm plantations.
Keywords	WorldView-2 ; spectroscopy ; oil palm ; disease ; maximum likelihood classification ; vegetation index ; Agriculture (General) ; S1-972
Subject code	571
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand

Stratoulias, Dimitris / Nuthammachot, Narissara

Sci Total Environ

Abstract	The COVID-19 pandemic has triggered an industrial and financial slowdown due to unprecedented regulations imposed with the purpose to contain the spread of the virus. Consequently, the positive effect on the environment has been witnessed. One of the most prominent evidences has been the drastic air quality improvement, as a direct consequence of lower emissions from reduced industrial activity. While several studies have demonstrated the validity of this hypothesis in mega-cities worldwide, it is still an unsubstantiated fact whether the same holds true for cities with a smaller urban extent and population. In the present study we investigate the temporal development of atmospheric constituent concentrations as retrieved concurrently from the Sentinel-5P satellite and a ground meteorological station. We focus on the period before and during the COVID-19 pandemic over the city of Hat Yai, Thailand and present the effect of the lockdown on the atmospheric quality over this average populated city (156,000 inhabitants). NO2, PM2.5 and PM10 concentrations decreased by 33.7%, 21.8% and 22.9% respectively in the first 3 weeks of the lockdown compared to the respective pre-lockdown period; O3 also decreased by 12.5% and contrary to similar studies. Monthly averages of NO2, CO and PM2.5 for the month April exhibit in 2020 the lowest values in the last decade. Sentinel-5P retrieved NO2 tropospheric concentrations, both locally over the ground station and the spatial average over the urban extent of the city, are in agreement with the reduction observed from the ground station. Numerous studies have already presented evidence of the bettering of the air quality over large metropolitan areas during the COVID-19 pandemic. In the current study we demonstrate that this holds true for Hat Yai, Thailand; we propound that the environmental benefits documented in major urban agglomerations during the lockdown may extend to medium-sized urban areas as well.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #703255
Database	COVID19

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