Pub Date : 2024-01-31DOI: 10.1134/s0001433823090062
A. A. Filei, Yu. A. Shamilova
Abstract
This paper presents a method for cloud water path retrieval from daytime MSU-GS measurements onboard the Russian hydrometeorological satellite Arktika-M 1. The technique is based on the physical principles of the interaction of electromagnetic radiation with cloud particles at wavelengths of 0.55 and 4.0 μm. Cloud water path estimates obtained from the MSU-GS radiometer are compared with similar estimates from the AMSU/MHS and AHI radiometer data. Based on the results of the comparison, the required estimates of the cloud water path of drop clouds are within the permissible limits of the measurement error, not exceeding 50 g/m2. At the same time, due to its design features, the MSU-GS radiometer does not allow retrieving the cloud water path of ice clouds with the required accuracy. On average, the cloud water path estimate of ice clouds according to the MSU-GS data is underestimated by 110 g/m2, and the root-mean-square error is 158 g/m2, when compared to the AHI radiometer data. The estimates of the cloud water path are introduced into the geographic information system Arktika-M, which provides access to the Arktika-M 1 data and the results of their thematic processing in a near real time mode.
{"title":"Retrieval of Cloud Liquid Water Path from MSU-GS Data Onboard Arktika-M 1","authors":"A. A. Filei, Yu. A. Shamilova","doi":"10.1134/s0001433823090062","DOIUrl":"https://doi.org/10.1134/s0001433823090062","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper presents a method for cloud water path retrieval from daytime MSU-GS measurements onboard the Russian hydrometeorological satellite Arktika-M 1. The technique is based on the physical principles of the interaction of electromagnetic radiation with cloud particles at wavelengths of 0.55 and 4.0 μm. Cloud water path estimates obtained from the MSU-GS radiometer are compared with similar estimates from the AMSU/MHS and AHI radiometer data. Based on the results of the comparison, the required estimates of the cloud water path of drop clouds are within the permissible limits of the measurement error, not exceeding 50 g/m<sup>2</sup>. At the same time, due to its design features, the MSU-GS radiometer does not allow retrieving the cloud water path of ice clouds with the required accuracy. On average, the cloud water path estimate of ice clouds according to the MSU-GS data is underestimated by 110 g/m<sup>2</sup>, and the root-mean-square error is 158 g/m<sup>2</sup>, when compared to the AHI radiometer data. The estimates of the cloud water path are introduced into the geographic information system Arktika-M, which provides access to the Arktika-M 1 data and the results of their thematic processing in a near real time mode.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"12 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s000143382309013x
S. A. Lysenko
Abstract
On the basis of Earth remote sensing data for 2000–2020, quantitative estimates of the influence of vegetation cover degradation on the summer warming in Belarus have been obtained. The average leaf area index of Belarus for this period increased by 3.3%, mainly due to forest areas, the leaf index of which increased by about 8%. The growth of the leaf area index slowed down the summer warming of forest lands in the north (above 54° N) by about half and by more than a quarter in the south of Belarus. At the same time, the leaf area index of croplands decreased by about 5%, which caused their additional warming and amplified their land surface temperature daily cycle for the summer period. Statistically significant signs of bioclimatic land degradation have been found on the territory of Belarus with a total area of about 400 000 ha, which are enhanced by high values of positive feedback between temperature, vegetation cover, and soil moisture. About of 58% of the degrading lands are agricultural lands located mainly in the southern part of the country. On these lands, the summer temperature grows twice as fast as the average for Belarus, and the leaf index decreases at a rate of about 2% per year, which indicates the insufficiency of agriculture climate mitigation in certain regions of Belarus.
{"title":"Forward and Backward Linkages between Land Surface Temperature and Leaf Area Index for the Summer in Belarus","authors":"S. A. Lysenko","doi":"10.1134/s000143382309013x","DOIUrl":"https://doi.org/10.1134/s000143382309013x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>On the basis of Earth remote sensing data for 2000–2020, quantitative estimates of the influence of vegetation cover degradation on the summer warming in Belarus have been obtained. The average leaf area index of Belarus for this period increased by 3.3%, mainly due to forest areas, the leaf index of which increased by about 8%. The growth of the leaf area index slowed down the summer warming of forest lands in the north (above 54° N) by about half and by more than a quarter in the south of Belarus. At the same time, the leaf area index of croplands decreased by about 5%, which caused their additional warming and amplified their land surface temperature daily cycle for the summer period. Statistically significant signs of bioclimatic land degradation have been found on the territory of Belarus with a total area of about 400 000 ha, which are enhanced by high values of positive feedback between temperature, vegetation cover, and soil moisture. About of 58% of the degrading lands are agricultural lands located mainly in the southern part of the country. On these lands, the summer temperature grows twice as fast as the average for Belarus, and the leaf index decreases at a rate of about 2% per year, which indicates the insufficiency of agriculture climate mitigation in certain regions of Belarus.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139667529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090098
J. N. Ivanova, I. O. Nafigin
Abstract
In the course of this study, an approach is developed focused on identifying probabilistic zones of increased fracturing (areas with a high density of lineaments), considered a predictive sign for the localization of ore mineralization in the central part of the Maloural’skaya zone (the Polar Urals). This area is promising for the detection of polymetallic-type ore occurrences (Fe, Cu, Cu-Zn, and Au-Cu). Predictive schemes for the distribution of highly permeable rock zones are constructed and promising areas for polymetallic mineralization are identified based on this approach, accounting for the geological information, the distribution of mineral resources, remote sensing data and the results of their processing, and the lineament density schemes. The remote sensing data processing is based on the identification of structures by manual and automatic methods and their integration based on fuzzy logic. Morphostructural maps obtained from the Landsat-8 spacecraft data show that ore occurrences of polymetallic specialization known in the area are located along the perimeter of a large morphostructure of the first order, as well as near radial structures up to 20 km in length in the NE and (less often) in the NW direction. As a result of a comparison of remote sensing data with the geological map of the study area and known ore occurrences, six promising zones are identified. The contoured areas show spatial consistency with several known polymetallic ore occurrences localized in the study area.
{"title":"Using Landsat-8 Satellite Data to Predict Ore Mineralization for the Northern Territories by the Example of the Central Part of the Maloural’skaya Zone (the Polar Urals)","authors":"J. N. Ivanova, I. O. Nafigin","doi":"10.1134/s0001433823090098","DOIUrl":"https://doi.org/10.1134/s0001433823090098","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>In the course of this study, an approach is developed focused on identifying probabilistic zones of increased fracturing (areas with a high density of lineaments), considered a predictive sign for the localization of ore mineralization in the central part of the Maloural’skaya zone (the Polar Urals). This area is promising for the detection of polymetallic-type ore occurrences (Fe, Cu, Cu-Zn, and Au-Cu). Predictive schemes for the distribution of highly permeable rock zones are constructed and promising areas for polymetallic mineralization are identified based on this approach, accounting for the geological information, the distribution of mineral resources, remote sensing data and the results of their processing, and the lineament density schemes. The remote sensing data processing is based on the identification of structures by manual and automatic methods and their integration based on fuzzy logic. Morphostructural maps obtained from the Landsat-8 spacecraft data show that ore occurrences of polymetallic specialization known in the area are located along the perimeter of a large morphostructure of the first order, as well as near radial structures up to 20 km in length in the NE and (less often) in the NW direction. As a result of a comparison of remote sensing data with the geological map of the study area and known ore occurrences, six promising zones are identified. The contoured areas show spatial consistency with several known polymetallic ore occurrences localized in the study area.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"186 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139667738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090104
A. Yu. Karavaiskii, Yu. I. Lukin
Abstract
A dielectric model based on the refractive dielectric model of the mixture of thawed and frozen forest organic soils in the root zone for a frequency of 435 MHz has been developed. The model is created on the basis of dielectric measurements of four soils whose organic matter content varies in the range from 15 to 31%. The dielectric measurements are carried out in the range of the gravimetric moisture from 0 to 0.6 g/g and temperature range from –30 to 25°C. The coefficient of determination (R2) between values calculated by the model and measured values of the real (ε') and imaginary (ε'') parts of complex dielectric permittivity is 0.97. The normalized root-mean-square error is 16 and 21% for the real and imaginary parts of the complex dielectric permittivity, respectively. This dielectric model may be applied in remote sensing algorithms when retrieving the value of forest soil moisture in the root zone from radar and radiometric data.
{"title":"Dielectric Model of the Upper Organic Layer of Forest Soils for a Frequency of 435 MHz","authors":"A. Yu. Karavaiskii, Yu. I. Lukin","doi":"10.1134/s0001433823090104","DOIUrl":"https://doi.org/10.1134/s0001433823090104","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A dielectric model based on the refractive dielectric model of the mixture of thawed and frozen forest organic soils in the root zone for a frequency of 435 MHz has been developed. The model is created on the basis of dielectric measurements of four soils whose organic matter content varies in the range from 15 to 31%. The dielectric measurements are carried out in the range of the gravimetric moisture from 0 to 0.6 g/g and temperature range from –30 to 25°C. The coefficient of determination (<i>R</i><sup>2</sup>) between values calculated by the model and measured values of the real (ε') and imaginary (ε'') parts of complex dielectric permittivity is 0.97. The normalized root-mean-square error is 16 and 21% for the real and imaginary parts of the complex dielectric permittivity, respectively. This dielectric model may be applied in remote sensing algorithms when retrieving the value of forest soil moisture in the root zone from radar and radiometric data.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"28 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090220
A. S. Victorov, V. N. Kapralova, T. V. Orlov
Abstract
This paper reports a new variant of the model of the morphological pattern for thermokarst plains with fluvial erosion involving numerous remote sensing data. This variant of the model takes into account different trends of the thermokarst processes for watershed plains and lowered bottoms of khasyreis (drained thermokarst lakes). The model is tested at eight key sites differing in physiography, climate, and geocryology. Testing is based on high-resolution remote sensing data. The model is verified with a statistical analysis of lake area distributions within both watershed plain surface and lowered bottoms of khasyreis, demonstrating a state of dynamic balance in the course of emergence, growth, and drainage of the thermokarst lakes. The analysis shows that the morphological pattern of the thermokarst plains with fluvial erosion changes evolutionarily, with a reduction in the area of the main watershed surface according to a dependence close to exponential; the specific type of the dependence results primarily from the ratio of the lake generation density and the location density of the fluvial sources.
{"title":"Developing a Model of the Morphological Pattern for Thermokarst Plains with Fluvial Erosion Involving Remote Sensing Data","authors":"A. S. Victorov, V. N. Kapralova, T. V. Orlov","doi":"10.1134/s0001433823090220","DOIUrl":"https://doi.org/10.1134/s0001433823090220","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper reports a new variant of the model of the morphological pattern for thermokarst plains with fluvial erosion involving numerous remote sensing data. This variant of the model takes into account different trends of the thermokarst processes for watershed plains and lowered bottoms of khasyreis (drained thermokarst lakes). The model is tested at eight key sites differing in physiography, climate, and geocryology. Testing is based on high-resolution remote sensing data. The model is verified with a statistical analysis of lake area distributions within both watershed plain surface and lowered bottoms of khasyreis, demonstrating a state of dynamic balance in the course of emergence, growth, and drainage of the thermokarst lakes. The analysis shows that the morphological pattern of the thermokarst plains with fluvial erosion changes evolutionarily, with a reduction in the area of the main watershed surface according to a dependence close to exponential; the specific type of the dependence results primarily from the ratio of the lake generation density and the location density of the fluvial sources.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"22 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090049
V. G. Bondur, M. N. Tsidilina, E. V. Gaponova, O. S. Voronova, M. V. Gaponova, N. V. Feoktistova, A. L. Zima
Abstract
Studies of variations in the parameters of various geophysical fields during the preparation of destructive earthquakes that occurred in Turkey in February 2023 with magnitudes of 6 ≤ M ≤ 7.8 are carried out using satellite data. It has been found that anomalies of these parameters manifested themselves from 34 to 25 days before the earthquakes as a sharp decrease in the values of relative humidity (RHS) and outgoing longwave radiation (OLR), as well as in an increase in the density of local lineaments. An increase in the surface skin temperature (SST), surface air temperature (SAT), RHS, and OLR, as well as in the values of the aerosol optical depth (AOD) and ionospheric total electron content (TEC), was revealed 19–9 days before the analyzed seismic events. In the period from 5 to 2 days before these earthquakes, a decrease in the SST, SAT, the flux of OLR, and the ionospheric TEC, as well as an increase in RHS and in the length of the secants of the rose diagrams of regional lineaments, were recorded. Quantitative characteristics of these anomalies are determined.
{"title":"Satellite Registration of Anomalies of Various Geophysical Fields during the Preparation of Destructive Earthquakes in Turkey in February 2023","authors":"V. G. Bondur, M. N. Tsidilina, E. V. Gaponova, O. S. Voronova, M. V. Gaponova, N. V. Feoktistova, A. L. Zima","doi":"10.1134/s0001433823090049","DOIUrl":"https://doi.org/10.1134/s0001433823090049","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Studies of variations in the parameters of various geophysical fields during the preparation of destructive earthquakes that occurred in Turkey in February 2023 with magnitudes of 6 ≤ M ≤ 7.8 are carried out using satellite data. It has been found that anomalies of these parameters manifested themselves from 34 to 25 days before the earthquakes as a sharp decrease in the values of relative humidity (RHS) and outgoing longwave radiation (OLR), as well as in an increase in the density of local lineaments. An increase in the surface skin temperature (SST), surface air temperature (SAT), RHS, and OLR, as well as in the values of the aerosol optical depth (AOD) and ionospheric total electron content (TEC), was revealed 19–9 days before the analyzed seismic events. In the period from 5 to 2 days before these earthquakes, a decrease in the SST, SAT, the flux of OLR, and the ionospheric TEC, as well as an increase in RHS and in the length of the secants of the rose diagrams of regional lineaments, were recorded. Quantitative characteristics of these anomalies are determined.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"49 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139667532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090141
I. O. Nafigin, V. T. Ishmuhametova, S. A. Ustinov, V. A. Minaev, V. A. Petrov
Abstract
This paper considers the suitability of using multispectral remote sensing data from the Landsat-8 satellite for conducting regional geological and mineralogical mapping of the territory of southeastern Zabaykalsky krai (Russia) under conditions of medium–low mountain relief and continental climate. To increase the spectral information content of Landsat-8 satellite data, statistical processing algorithms are used, including principal component analysis (PCA), minimum noise fraction (MNF), and independent component analysis (ICA). Statistical processing results are compared with the classes of geological materials: minerals of the oxide/hydroxide group containing transitional iron ions (Fe3+ and Fe3+/Fe2+); a group of clay minerals containing Al-OH and Fe, Mg-OH; and minerals containing divalent iron ion (Fe2+) and vegetation cover. Pseudocolor RGB composites are generated and interpreted, reflecting the distribution and multiplication of classes of geological materials. To build a prospectivity scheme for the discovery of the minerals, the integration of informative thematic layers is carried out using a fuzzy logic model. The resulting scheme is compared with geological information, and positive conclusions are made about the suitability of territory for further remote studies on mapping hydrothermally altered zones and hypergenesis products in order to localize areas that are promising for revealing hydrothermal–metasomatic mineralization.
{"title":"Assessing the Suitability of Territories for Detailed Geological and Mineralogical Mapping Based on Statistical Methods for Processing Remote Sensing Data from the Landsat-8 Spacecraft: Using the Example of Southeastern Zabaykalsky Krai, Russia","authors":"I. O. Nafigin, V. T. Ishmuhametova, S. A. Ustinov, V. A. Minaev, V. A. Petrov","doi":"10.1134/s0001433823090141","DOIUrl":"https://doi.org/10.1134/s0001433823090141","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper considers the suitability of using multispectral remote sensing data from the Landsat-8 satellite for conducting regional geological and mineralogical mapping of the territory of southeastern Zabaykalsky krai (Russia) under conditions of medium–low mountain relief and continental climate. To increase the spectral information content of Landsat-8 satellite data, statistical processing algorithms are used, including principal component analysis (PCA), minimum noise fraction (MNF), and independent component analysis (ICA). Statistical processing results are compared with the classes of geological materials: minerals of the oxide/hydroxide group containing transitional iron ions (Fe<sup>3+</sup> and Fe<sup>3+</sup>/Fe<sup>2+</sup>); a group of clay minerals containing Al-OH and Fe, Mg-OH; and minerals containing divalent iron ion (Fe<sup>2+</sup>) and vegetation cover. Pseudocolor RGB composites are generated and interpreted, reflecting the distribution and multiplication of classes of geological materials. To build a prospectivity scheme for the discovery of the minerals, the integration of informative thematic layers is carried out using a fuzzy logic model. The resulting scheme is compared with geological information, and positive conclusions are made about the suitability of territory for further remote studies on mapping hydrothermally altered zones and hypergenesis products in order to localize areas that are promising for revealing hydrothermal–metasomatic mineralization.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"27 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090050
I. Yu. Botvich, N. A. Kononova, D. V. Emelyanov, T. I. Pisman
Abstract
This study assesses the possibility of grassland monitoring based on various spectral vegetation indices (NDVI, ClGreen, NDRE, and NDMI) calculated according to Sentinel-2 satellite data during the 2018 growing season. Geobotanical studies and the collection of ground-based spectrophotometry data were carried out simultaneously, at the same time of day, and were used as an additional stage of monitoring haymaking. It was possible to identify grasslands and determine the date of mowing based on ground and satellite spectrometric data. A drop in the indices (NDVI, clGreen, NDRE, and NDMI) was observed on the date of mowing (July 25, 2018). The possibility of grassland interpretation based on the NDVI index was proven reliable. It was shown that the dates of mowing, determined according to satellite data, were in good agreement with the ground dates of mowing (July 25 and August 27). The spatial distribution maps of the NDVI index of grasslands according to Sentinel-2 satellite data for certain dates (June 18, July 10, and August 27) were drawn. The resulting maps make it possible to identify grasslands and mowing dates in large areas.
{"title":"Grassland Monitoring Based on Geobotanical, Ground, Spectrometric, and Satellite Data","authors":"I. Yu. Botvich, N. A. Kononova, D. V. Emelyanov, T. I. Pisman","doi":"10.1134/s0001433823090050","DOIUrl":"https://doi.org/10.1134/s0001433823090050","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This study assesses the possibility of grassland monitoring based on various spectral vegetation indices (NDVI, ClGreen, NDRE, and NDMI) calculated according to Sentinel-2 satellite data during the 2018 growing season. Geobotanical studies and the collection of ground-based spectrophotometry data were carried out simultaneously, at the same time of day, and were used as an additional stage of monitoring haymaking. It was possible to identify grasslands and determine the date of mowing based on ground and satellite spectrometric data. A drop in the indices (NDVI, clGreen, NDRE, and NDMI) was observed on the date of mowing (July 25, 2018). The possibility of grassland interpretation based on the NDVI index was proven reliable. It was shown that the dates of mowing, determined according to satellite data, were in good agreement with the ground dates of mowing (July 25 and August 27). The spatial distribution maps of the NDVI index of grasslands according to Sentinel-2 satellite data for certain dates (June 18, July 10, and August 27) were drawn. The resulting maps make it possible to identify grasslands and mowing dates in large areas.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"8 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1134/s0001433823090190
V. M. Sidorenkov, V. N. Kositsyn, L. A. Badak, D. O. Astapov, I. S. Achikolova
Abstract
This paper presents studies on using Sentinel-1 imagery data to determine the attributes of mixed forest stands. The fieldwork is carried out in Kostroma, Vologda, and Arkhangelsk oblasts and the Udmurt Republic. The study reveals that quantitative and qualitative forest characteristics correlate with radar survey parameters; the value of this correlation is identified. The results make it possible to zone a study area according to the standing volume and forest density.
{"title":"Possibilities of Determining Quantitative and Qualitative Characteristics of Mixed Forest Stands Using Sentinel-1 Imagery","authors":"V. M. Sidorenkov, V. N. Kositsyn, L. A. Badak, D. O. Astapov, I. S. Achikolova","doi":"10.1134/s0001433823090190","DOIUrl":"https://doi.org/10.1134/s0001433823090190","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper presents studies on using Sentinel-1 imagery data to determine the attributes of mixed forest stands. The fieldwork is carried out in Kostroma, Vologda, and Arkhangelsk oblasts and the Udmurt Republic. The study reveals that quantitative and qualitative forest characteristics correlate with radar survey parameters; the value of this correlation is identified. The results make it possible to zone a study area according to the standing volume and forest density.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139667740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-16DOI: 10.1134/s0001433823080078
Yu. O. Kuzmin
Abstract
The physical (phenomenological) foundations of recent geodynamics are considered. The definitions of geodynamics and recent geodynamics are substantiated based on ideas about the primacy of movements in the event of strains. The main tasks of the study are formulated, as are the scheme of formation of the recent geodynamic state of the subsoil. The issues of identifying the movements of the Earth’s surface are discussed and a formula is proposed for estimating the relative bending strain. It is shown that the observed strains of the Earthʼs surface, obtained by geodetic (satellite and ground) methods, are relative in nature and depend on the specific kinematic scheme of motion of individual elements (blocks) of the medium. The results of long-term repeated geodetic observations of recent vertical and horizontal movements of the Earthʼs surface in seismically active (Kopetdag, Kamchatka) and aseismic, platform regions (Pripyat depression) are presented. It is shown that the average annual rate of regional relative strains varies in the range from 10–8 to 10–9 year–1. Zonal and local strains vary in the range from 10–4 to 10–6 year–1. The “paradoxes” of large and small strains in recent geodynamics are formulated and their explanation is given on the basis of the equations of hereditary mechanics of solids and ideas about the parametric induction of strain processes in fault zones by small natural and technogenic impacts.
{"title":"Physical Foundations of Recent Geodynamics","authors":"Yu. O. Kuzmin","doi":"10.1134/s0001433823080078","DOIUrl":"https://doi.org/10.1134/s0001433823080078","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The physical (phenomenological) foundations of recent geodynamics are considered. The definitions of geodynamics and recent geodynamics are substantiated based on ideas about the primacy of movements in the event of strains. The main tasks of the study are formulated, as are the scheme of formation of the recent geodynamic state of the subsoil. The issues of identifying the movements of the Earth’s surface are discussed and a formula is proposed for estimating the relative bending strain. It is shown that the observed strains of the Earthʼs surface, obtained by geodetic (satellite and ground) methods, are relative in nature and depend on the specific kinematic scheme of motion of individual elements (blocks) of the medium. The results of long-term repeated geodetic observations of recent vertical and horizontal movements of the Earthʼs surface in seismically active (Kopetdag, Kamchatka) and aseismic, platform regions (Pripyat depression) are presented. It is shown that the average annual rate of regional relative strains varies in the range from 10<sup>–8</sup> to 10<sup>–9</sup> year<sup>–1</sup>. Zonal and local strains vary in the range from 10<sup>–4</sup> to 10<sup>–6</sup> year<sup>–1</sup>. The “paradoxes” of large and small strains in recent geodynamics are formulated and their explanation is given on the basis of the equations of hereditary mechanics of solids and ideas about the parametric induction of strain processes in fault zones by small natural and technogenic impacts.</p>","PeriodicalId":54911,"journal":{"name":"Izvestiya Atmospheric and Oceanic Physics","volume":"30 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139481362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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