New Ecoinformatics Tools in Environmental Science

Krapivin, Vladimir F.; Varotsos, C.; Soldatov, V.Yu.

doi:10.1007/978-3-319-13978-4

Cited by 73 publications

(21 citation statements)

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“…[37] FBESD Forest biomass estimation via satellite data. [38] FWBM Forest water balance model. Parameterization of the components from the hydrological balance equation.…”

Section: Sub-block Sub-block Function Referencesmentioning

confidence: 99%

A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019

2020

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The purpose of this paper is to present a new method for early detection of forest fires, especially in forest zones prone to fires using microwave remote sensing and information-modeling tools. A decision-making system is developed as a tool for operational coupled analysis of modeling results and remote sensing data. The main operating structure of this system has blocks that calculate the moisture of forest canopy, the soil-litter layer, and the forest physical temperature using the observed brightness temperature provided by the flying platform IL-18 equipped with passive microwave radiometers of 1.43, 13.3 and 37.5 GHz frequencies. The hydrological parameters of the forest are assessed with both a developed regional hydrological model and remote sensing observations. The hydrological model allows for the detection of fire-prone zones that are subject to remote sensing when modeling results are corrected and thermal temperatures are evaluated. An approach for the real time forest fires classification via daytime remote sensing observations is proposed. The relative theoretical and experimental results presented here have allowed us to use a new approach to forests monitoring during periods of potential fire. A decision-making algorithm is presented that aims at analyzing data flows from radiometers located on the remote sensing platform to calculate the probability of forest fire occurring in geographical pixels. As case study, the state of forest fires that occurred in Siberia in 2019 using microwave remote sensing measurements conducted by a flying IL-18 laboratory is presented. This remote sensing platform is equipped with optical and microwave tools that allow the optical and microwave images of the observed forest areas. The main operating frequencies of microwave radiometers are 1.43, 13.3 and 37.5 GHz. Microwave radiometers provide data on water content in the forest canopy and on litter and physical temperatures. Based on the long-term measurements made in Siberia, the possible improvement of the proposed decision-making system for future relevant studies is discussed in detail. The basic idea of cost-effective monitoring of forested areas consists of a two-stage exploration of fire risk zones. The first monitoring stage is performed using the hydrological model of the study area to identify low moisture areas of the forest canopy and litter. The second stage of monitoring is conducted using the remote sensing platform only in the local fire-dangerous areas in order to more precisely identify the areas prone to fire and to detect and diagnose real burning zones. The developed algorithm allows the calculation of physical temperatures and the detection of temperature anomalies based on measured brightness temperatures. Finally, the spatial distribution of the probability of forest fire occurrence is given as an example of the decision-making system along with a comparison of this distribution with the satellite images provided by the EOSDIS Land data.

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“…[37] FBESD Forest biomass estimation via satellite data. [38] FWBM Forest water balance model. Parameterization of the components from the hydrological balance equation.…”

Section: Sub-block Sub-block Function Referencesmentioning

confidence: 99%

A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019

2020

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“…These bands are important for the Earth surface monitoring when microwave emissions of various land covers are registered. One of important task is the synthesis of models and algorithms that could descript in details the soil and vegetation characteristics for their use in different biosphere models [6].…”

Section: The Microwave Toolsmentioning

confidence: 99%

“…Basic GIMS structure has series of models and algorithms providing the description of atmospheric, hydrological, hydrochemical, geophysical, and ecological processes. For example, regional water balance model [6] allows the simulation of water regime taking into seasonal variability in the river outflow, snow cover, and vegetation cover.…”

Section: The Gims-based Monitoringmentioning

confidence: 99%

“…The GIMS-technology unites existing information sources coordinating and optimizing information fluxes what leads to the economically effective monitoring system synthesis. Furthermore, universal GIMS structures can be created to be adapted to the specific environmental monitoring problem what facilitates a solution of this problem [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Information-Instrumental Tools of Microwave and Optical Environmental Monitoring

Krapivin

Nitu

Mkrtchyan

et al. 2018

The Scientific Bulletin of Electrical Engineering Faculty

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Informational capabilities of microwave and optical tools for environmental monitoring are assessed when they are located on the mobile platforms. This paper presents new approach to the combined use of microwave and optical sensors as basic elements of environmental monitoring system architecture oriented on the registration of information about characteristics of hydrological and hydrochemical objects. Geoecological in-formation-modeling system (GIMS) is proposed as the GIS generalization with regard to the solution of series of the tasks arising in the agriculture, water quality assessment and operational diagnostics of stressful natural processes. Algorithms and models are characterized to be as the GIMS components that realize the decision making procedures providing the monitoring regime optimization and reconstruction of spatial image of the controlled environmental object using anisotropic data fluxes. Functional characteristics of several mobile platforms equipped by microwave radiometers are given as tools for the monitoring of hydrological objects. Two optical instruments are represented and their functions are characterized.

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“…In addition, [8] have recently proposed a new mechanism for geomagnetic field -GCR influence on the near tropopause ozone, notably: (i) the higher level of Pfotzer maximum (placed above the tropopause) could explain the higher density of the lower stratospheric ozone in regions with stronger geomagnetic fielddue to the environmental conditions favouring activation of autocatalytic ozone production; (ii) in regions with a weaker geomagnetic field the ionisation layer (formed by GCR) is placed in the upper troposphere, whose greater humidity stimulates the activation of ozone destructive chemistry. This mechanism needs further exploration for better understanding of the ozone variability which is of great interest in both air-pollution and ozone layer depletion environmental problems and their impacts [9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

On the link between atmospheric cloud parameters and cosmic rays

Christodoulakis

Varotsos

Mavromichalaki

et al. 2019

Journal of Atmospheric and Solar-Terrestrial Physics

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We herewith attempt to investigate the cosmic rays behavior regarding the scaling features of their time series. Our analysis is based on cosmic ray observations made at four neutron monitor stations in Athens (Greece), Jung (Switzerland) and Oulu (Finland), for the period 2000 to early 2017. Each of these datasets was analyzed by using the Detrended Fluctuation Analysis (DFA) and Multifractal Detrended Fluctuation Analysis (MF-DFA) in order to investigate intrinsic properties, like self-similarity and the spectrum of singularities. The main result obtained is that the cosmic rays time series at all the neutron monitor stations exhibit positive long-range correlations (of 1/f type) with multifractal behavior. On the other hand, we try to investigate the possible existence of similar scaling features in the time series of other meteorological parameters which are closely associated with the cosmic rays, such as parameters describing physical properties of clouds.

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New Ecoinformatics Tools in Environmental Science

Cited by 73 publications

References 0 publications

A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019

A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019

Information-Instrumental Tools of Microwave and Optical Environmental Monitoring

On the link between atmospheric cloud parameters and cosmic rays

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