{"id":4398,"date":"2015-10-02T12:57:27","date_gmt":"2015-10-02T10:57:27","guid":{"rendered":"http:\/\/www.geology.com.ua\/?page_id=4398"},"modified":"2017-06-22T15:21:46","modified_gmt":"2017-06-22T13:21:46","slug":"4398-2","status":"publish","type":"page","link":"http:\/\/www.geology.com.ua\/en\/4398-2\/","title":{"rendered":"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75"},"content":{"rendered":"

Geoinformatika 2015; 3(55) :\u00a068-75 (in Ukrainian)<\/p>\n

APPLICATION OF REMOTE SENSING DATA FOR OVERALL ASSESSMENT OF REGION SOILS<\/h4>\n

L.V. Gebrin<\/em>1<\/sup><\/em>, O.I. Sakhatsky2<\/sup><\/em><\/h5>\n

1<\/sup>National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv 03058, Ukraine, e-mail: gebrin_liliya@mail.ru
\n<\/em>2<\/sup>State Institution \u201cCentre for Aerospace Research of the Earth of\u00a0 the Institute of Geology, NAS of Ukraine\u201d, 55b<\/em>\u00a0<\/em>Gonchara Str., Kyiv 01601, Ukraine, e-mail: sakhatsky@casre.kiev.ua<\/em><\/p>\n

Purpose.<\/strong> The developed generalized methods of assessment of soil based on ground and space information could be an effective toolkit providing information and supporting management decisions for soil monitoring. Application of such techniques would result in proper use of agronomic measures for improving soil fertility, providing specific information about the state of soil of the areas.
\nDesign\/methodology\/approach.<\/strong> The experimental studies were conducted using software Erdas Imagine 2014 for radiometric calibration and atmospheric correction of the image, as well as for determining the spectral signatures and data of spectral channels to further define the correlation dependency and humus definition pixels in each image. With the assistance of the software ArcGis was created mapped schemes of investigated territory.
\nFindings.\u00a0 This article reveals close correlation with a high determination coefficients between the spectral energy brightness of each pixel in the channels (red R<\/em> = 0,732, R<\/em> = 0,673 green and blue R<\/em> = 0,702) of satellite images Landsat 8 OLI and the actual indicator of humus content (H<\/em>av.\u00a0=\u00a02,12) within the monitored areas of the administrative units of Transcarpathian region. The average vegetation indices of the studied area were determined (NDVI <\u00a00, 12), as well as the value of humus in each pixel of image spectral characteristics in the red channel. Thus example, for MD 19 Solomonove, with the indicator of actual humus content of 1,86 (as of 2013), a predictive indicator of humus was found in the range of 0,67 to 1,34, which suggests a significant reduction in soil fertility on the area as of 2015.
\nPractical value\/implications.<\/strong> The study confirmed that the soils of Ukraine and its separate regions (Transcarpathian), quickly degrade and lose their nutritional value, especially humus. This trend makes them unsuitable for further use for agriculture, indicating the decline of agro-industrial complex as a whole. Ground methods of monitoring the crops condition are certainly effective, but it is a time-consuming expensive process. The generalized method of soil assessment that based on aerospace research is an efficient and reliable mechanism of management decision making sustainable agriculture.<\/p>\n

Keywords:<\/strong> soils, humus content, aerospace methods, spectral characteristics, correlation, linear dependence, remote sensing of the Earth.<\/p>\n

The full text of papers<\/span><\/a>\u00a0<\/strong><\/p>\n

References:<\/strong><\/p>\n

    \n
  1. Achasov V.A., Bidolakh D.I. Ispol\u2019zovanie materialov kosmicheskoj i nazemnoj cifrovoj fotos\u2019emok dlja opredelenija soderzhanija gumusa v pochvah<\/em> [The use of satellite and terrestrial digital photo opportunities for the determination of humus in the soil]. Eurasian Soil Science<\/em>, 2008, no. 3, pp. 280-286.<\/li>\n
  2. Informatsiyno-analitychnyy zvit pro monitorynh dovkillya v Zakarpats\u2019kiy oblasti za 2013 rik<\/em> [The Information-analytical report of environmental monitoring of Transcarpathian region in 2013]. Available at: http:\/\/www ecozakarpat.gov.ua\/page id=1687\/ (Accessed: 22 May 2015).<\/li>\n
  3. Kozoderov V.V., Dmitriev E.V. Ajerokosmicheskoe zondirovanie pochvenno-rastitel\u2019nogo pokrova: modeli, algoritmicheskoe i programmnoe obespechenie, nazemnaja validacija<\/em> [The aerospace sensing land cover: models, algorithms and software, ground validation]. Moscow, Issledovanija Zemli iz Kosmosa<\/em>, 2010, no. 1, pp. 69-86.<\/li>\n
  4. Kohan S.S. Vehetatsiyni indeksy vidbyttya<\/em> [The Vegetation index reflection]. Proceedings of the National Aviation University<\/em>, 2005, issue 83, pp. 332-336.<\/li>\n
  5. Kohan S.S. Zastosuvannya prostorovykh polipshuval\u2019nykh peretvoren\u2019 kosmichnykh znimkiv ta formuvannya pokhidnykh zobrazhen\u2019 dlya doslidzhennya ahroresursiv<\/em> [The use of spatial transformations improvements satellite images and forming derivative images for the study of agrarian resources]. Visnyk heodeziyi ta kartohrafiyi<\/em>, 2010, no. 3, pp. 22- 27.<\/li>\n
  6. Ljalko V.\u0406., Popov M.O. Stan ta perspektyvy rozvytku dystantsiynykh metodiv doslidzhennya Zemli v Ukrayini<\/em> [The state and prospects of development of Earth of remote sensing methods in Ukraine] Kiev, Geological Journal<\/em>, 2011, no. 1, pp. 50-58.<\/li>\n
  7. Nosko B.S. Osoblyvosti antropogennoi\u2019 evoljucii\u2019 pozhyvnogo rezhymu chornozemiv<\/em> [The features of human evolution of black soil nutrient regime]. Harkiv, Visnyk KhNAU<\/em> 2008, no.1, pp.79-84.<\/li>\n
  8. Sakhatsky O.\u0406. Dosvid vykorystannya suputnykovykh danykh dlya otsinky stanu gruntiv z metoyu rozvyazannya pryrodoresursnykh zadach<\/em> [The experience of using satellite data for the assessment of soil to solve natural resource problems]. Dopovidi Natsional\u2019noyi akademiyi nauk Ukrayiny<\/em>, Kiev, 2008, no. 3, pp. 109-115.<\/li>\n
  9. Zubec M.V., Baljuk S.A., Medvedjev V.V., Grekov V.O. Suchasnyy stan gruntovoho pokryvu Ukrayiny i nevidkladni zakhody z yoho okhorony<\/em> [The current state of soil Ukraine and urgent measures for its protection]. Agrochemistry and soil science<\/em>. Collected papers<\/em>, Kharkiv, 2010, pp.7-17.<\/li>\n
  10. Truskaveckij S.R. Vykorystannya bahatospektral\u2019noho kosmichnoho skanuvannya ta heoinformatsiynykh system u doslidzhenni gruntovoho pokryvu Polissya Ukrayiny<\/em> [The using multispectral satellite scanning and GIS in the study of soil Polissya Ukraine] Avtoref. dys. … kand. s.-g. nauk.<\/em> Harkiv, 2006, 24 p.<\/li>\n
  11. Shatohin A.V., Lyndin M.A. Soprjazhennoe izuchenie chernozemov Donbassa nazemnymi i distancionnymi metodami<\/em> [The dual study of soils of Donbass based on ground and remote sensing methods]. Eurasian Soil Science<\/em>, Kiev, 2001, no. 9, pp.1037-1044.<\/li>\n
  12. Jamelynec T.S. Zastosuvannya geografichnyh informacijnyh system u gruntoznavstvi<\/em> [The application of GIS in Soil]. Lviv, Vydavnycztvo Nacionalnogo universytetu imeni Ivana Franka<\/em>, 2008, 194 p.<\/li>\n
  13. Baret F., Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sens. Environ.<\/em>, 1991, vol. 35, pp. 161-173.<\/li>\n
  14. Crippen R.E. Calculating the vegetation index faster. Remote sens. Environ.<\/em>, 1990, pp. 71-73.<\/li>\n
  15. Huete A.R., Hua G., Normalization of multidirectional red and near red reflectance with the SAVI. Remote sens. Environ.<\/em>, 1992, vol. 40, pp. 1-20.<\/li>\n
  16. Rouse J.W., Haas R.H., Schell J.A., [et al.]. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings. Third Earth Resources Technology Satellite-1 Sympos.<\/em>, NASA SP-351, Greenbelt, 1974, pp. 3010-3017.<\/li>\n<\/ol>\n

     <\/p>","protected":false},"excerpt":{"rendered":"

    Geoinformatika 2015; 3(55) :\u00a068-75 (in Ukrainian) APPLICATION OF REMOTE SENSING DATA FOR OVERALL ASSESSMENT OF REGION SOILS L.V. Gebrin1, O.I. Sakhatsky2 1National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv 03058, Ukraine, e-mail: gebrin_liliya@mail.ru 2State Institution \u201cCentre for Aerospace Research of the Earth of\u00a0 the Institute of Geology, NAS of Ukraine\u201d, 55b\u00a0Gonchara Str., Kyiv 01601, Ukraine, e-mail: sakhatsky@casre.kiev.ua Purpose. The developed generalized methods of assessment of soil based on ground and space information could be an effective toolkit providing information and supporting management decisions for soil monitoring. Application of such techniques would result in proper use of agronomic measures for improving soil fertility, providing specific information about the state of soil of the areas. Design\/methodology\/approach. The experimental studies were conducted using software Erdas Imagine 2014 for radiometric calibration and atmospheric correction of the image, as well as for determining the spectral signatures and data of spectral channels to further define the correlation dependency and humus definition pixels in each image. With the assistance of the software ArcGis was created mapped schemes of investigated territory. Findings.\u00a0 This article reveals close correlation with a high determination coefficients between the spectral energy brightness of each pixel in the channels (red R = 0,732, R = 0,673 green and blue R = 0,702) of satellite images Landsat 8 OLI and the actual indicator of humus content (Hav.\u00a0=\u00a02,12) within the monitored areas of the administrative units of Transcarpathian region. The average vegetation indices of the studied area were determined (NDVI <\u00a00, 12), as well as the value of humus in each pixel of image spectral characteristics in the red channel. Thus example, for MD 19 Solomonove, with the indicator of actual humus content of 1,86 (as of 2013), a predictive indicator of humus was found in the range of 0,67 to 1,34, which suggests a significant reduction in soil fertility on the area as of 2015. Practical value\/implications. The study confirmed that the soils of Ukraine and its separate regions (Transcarpathian), quickly degrade and lose their nutritional value, especially humus. This trend makes them unsuitable for further use for agriculture, indicating the decline of agro-industrial complex as a whole. Ground methods of monitoring the crops condition are certainly effective, but it is a time-consuming expensive process. The generalized method of soil assessment that based on aerospace research is an efficient and reliable mechanism of management decision making sustainable agriculture. Keywords: soils, humus content, aerospace methods, spectral characteristics, correlation, linear dependence, remote sensing of the Earth. The full text of papers\u00a0 References: Achasov V.A., Bidolakh D.I. Ispol\u2019zovanie materialov kosmicheskoj i nazemnoj cifrovoj fotos\u2019emok dlja opredelenija soderzhanija gumusa v pochvah [The use of satellite and terrestrial digital photo opportunities for the determination of humus in the soil]. Eurasian Soil Science, 2008, no. 3, pp. 280-286. Informatsiyno-analitychnyy zvit pro monitorynh dovkillya v Zakarpats\u2019kiy oblasti za 2013 rik [The Information-analytical report of environmental monitoring of Transcarpathian region in 2013]. Available at: http:\/\/www ecozakarpat.gov.ua\/page id=1687\/ (Accessed: 22 May 2015). Kozoderov V.V., Dmitriev E.V. Ajerokosmicheskoe zondirovanie pochvenno-rastitel\u2019nogo pokrova: modeli, algoritmicheskoe i programmnoe obespechenie, nazemnaja validacija [The aerospace sensing land cover: models, algorithms and software, ground validation]. Moscow, Issledovanija Zemli iz Kosmosa, 2010, no. 1, pp. 69-86. Kohan S.S. Vehetatsiyni indeksy vidbyttya [The Vegetation index reflection]. Proceedings of the National Aviation University, 2005, issue 83, pp. 332-336. Kohan S.S. Zastosuvannya prostorovykh polipshuval\u2019nykh peretvoren\u2019 kosmichnykh znimkiv ta formuvannya pokhidnykh zobrazhen\u2019 dlya doslidzhennya ahroresursiv [The use of spatial transformations improvements satellite images and forming derivative images for the study of agrarian resources]. Visnyk heodeziyi ta kartohrafiyi, 2010, no. 3, pp. 22- 27. Ljalko V.\u0406., Popov M.O. Stan ta perspektyvy rozvytku dystantsiynykh metodiv doslidzhennya Zemli v Ukrayini [The state and prospects of development of Earth of remote sensing methods in Ukraine] Kiev, Geological Journal, 2011, no. 1, pp. 50-58. Nosko B.S. Osoblyvosti antropogennoi\u2019 evoljucii\u2019 pozhyvnogo rezhymu chornozemiv [The features of human evolution of black soil nutrient regime]. Harkiv, Visnyk KhNAU 2008, no.1, pp.79-84. Sakhatsky O.\u0406. Dosvid vykorystannya suputnykovykh danykh dlya otsinky stanu gruntiv z metoyu rozvyazannya pryrodoresursnykh zadach [The experience of using satellite data for the assessment of soil to solve natural resource problems]. Dopovidi Natsional\u2019noyi akademiyi nauk Ukrayiny, Kiev, 2008, no. 3, pp. 109-115. Zubec M.V., Baljuk S.A., Medvedjev V.V., Grekov V.O. Suchasnyy stan gruntovoho pokryvu Ukrayiny i nevidkladni zakhody z yoho okhorony [The current state of soil Ukraine and urgent measures for its protection]. Agrochemistry and soil science. Collected papers, Kharkiv, 2010, pp.7-17. Truskaveckij S.R. Vykorystannya bahatospektral\u2019noho kosmichnoho skanuvannya ta heoinformatsiynykh system u doslidzhenni gruntovoho pokryvu Polissya Ukrayiny [The using multispectral satellite scanning and GIS in the study of soil Polissya Ukraine] Avtoref. dys. … kand. s.-g. nauk. Harkiv, 2006, 24 p. Shatohin A.V., Lyndin M.A. Soprjazhennoe izuchenie chernozemov Donbassa nazemnymi i distancionnymi metodami [The dual study of soils of Donbass based on ground and remote sensing methods]. Eurasian Soil Science, Kiev, 2001, no. 9, pp.1037-1044. Jamelynec T.S. Zastosuvannya geografichnyh informacijnyh system u gruntoznavstvi [The application of GIS in Soil]. Lviv, Vydavnycztvo Nacionalnogo universytetu imeni Ivana Franka, 2008, 194 p. Baret F., Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sens. Environ., 1991, vol. 35, pp. 161-173. Crippen R.E. Calculating the vegetation index faster. Remote sens. Environ., 1990, pp. 71-73. Huete A.R., Hua G., Normalization of multidirectional red and near red reflectance with the SAVI. Remote sens. Environ., 1992, vol. 40, pp. 1-20. Rouse J.W., Haas R.H., Schell J.A., [et al.]. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings. Third Earth Resources Technology Satellite-1 Sympos., NASA SP-351, Greenbelt, 1974, pp. 3010-3017.  <\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4398","page","type-page","status-publish","hentry"],"yoast_head":"\n(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/www.geology.com.ua\/en\/4398-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\" \/>\n<meta property=\"og:description\" content=\"Geoinformatika 2015; 3(55) :\u00a068-75 (in Ukrainian) APPLICATION OF REMOTE SENSING DATA FOR OVERALL ASSESSMENT OF REGION SOILS L.V. Gebrin1, O.I. Sakhatsky2 1National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv 03058, Ukraine, e-mail: gebrin_liliya@mail.ru 2State Institution \u201cCentre for Aerospace Research of the Earth of\u00a0 the Institute of Geology, NAS of Ukraine\u201d, 55b\u00a0Gonchara Str., Kyiv 01601, Ukraine, e-mail: sakhatsky@casre.kiev.ua Purpose. The developed generalized methods of assessment of soil based on ground and space information could be an effective toolkit providing information and supporting management decisions for soil monitoring. Application of such techniques would result in proper use of agronomic measures for improving soil fertility, providing specific information about the state of soil of the areas. Design\/methodology\/approach. The experimental studies were conducted using software Erdas Imagine 2014 for radiometric calibration and atmospheric correction of the image, as well as for determining the spectral signatures and data of spectral channels to further define the correlation dependency and humus definition pixels in each image. With the assistance of the software ArcGis was created mapped schemes of investigated territory. Findings.\u00a0 This article reveals close correlation with a high determination coefficients between the spectral energy brightness of each pixel in the channels (red R = 0,732, R = 0,673 green and blue R = 0,702) of satellite images Landsat 8 OLI and the actual indicator of humus content (Hav.\u00a0=\u00a02,12) within the monitored areas of the administrative units of Transcarpathian region. The average vegetation indices of the studied area were determined (NDVI <\u00a00, 12), as well as the value of humus in each pixel of image spectral characteristics in the red channel. Thus example, for MD 19 Solomonove, with the indicator of actual humus content of 1,86 (as of 2013), a predictive indicator of humus was found in the range of 0,67 to 1,34, which suggests a significant reduction in soil fertility on the area as of 2015. Practical value\/implications. The study confirmed that the soils of Ukraine and its separate regions (Transcarpathian), quickly degrade and lose their nutritional value, especially humus. This trend makes them unsuitable for further use for agriculture, indicating the decline of agro-industrial complex as a whole. Ground methods of monitoring the crops condition are certainly effective, but it is a time-consuming expensive process. The generalized method of soil assessment that based on aerospace research is an efficient and reliable mechanism of management decision making sustainable agriculture. Keywords: soils, humus content, aerospace methods, spectral characteristics, correlation, linear dependence, remote sensing of the Earth. The full text of papers\u00a0 References: Achasov V.A., Bidolakh D.I. Ispol\u2019zovanie materialov kosmicheskoj i nazemnoj cifrovoj fotos\u2019emok dlja opredelenija soderzhanija gumusa v pochvah [The use of satellite and terrestrial digital photo opportunities for the determination of humus in the soil]. Eurasian Soil Science, 2008, no. 3, pp. 280-286. Informatsiyno-analitychnyy zvit pro monitorynh dovkillya v Zakarpats\u2019kiy oblasti za 2013 rik [The Information-analytical report of environmental monitoring of Transcarpathian region in 2013]. Available at: http:\/\/www ecozakarpat.gov.ua\/page id=1687\/ (Accessed: 22 May 2015). Kozoderov V.V., Dmitriev E.V. Ajerokosmicheskoe zondirovanie pochvenno-rastitel\u2019nogo pokrova: modeli, algoritmicheskoe i programmnoe obespechenie, nazemnaja validacija [The aerospace sensing land cover: models, algorithms and software, ground validation]. Moscow, Issledovanija Zemli iz Kosmosa, 2010, no. 1, pp. 69-86. Kohan S.S. Vehetatsiyni indeksy vidbyttya [The Vegetation index reflection]. Proceedings of the National Aviation University, 2005, issue 83, pp. 332-336. Kohan S.S. Zastosuvannya prostorovykh polipshuval\u2019nykh peretvoren\u2019 kosmichnykh znimkiv ta formuvannya pokhidnykh zobrazhen\u2019 dlya doslidzhennya ahroresursiv [The use of spatial transformations improvements satellite images and forming derivative images for the study of agrarian resources]. Visnyk heodeziyi ta kartohrafiyi, 2010, no. 3, pp. 22- 27. Ljalko V.\u0406., Popov M.O. Stan ta perspektyvy rozvytku dystantsiynykh metodiv doslidzhennya Zemli v Ukrayini [The state and prospects of development of Earth of remote sensing methods in Ukraine] Kiev, Geological Journal, 2011, no. 1, pp. 50-58. Nosko B.S. Osoblyvosti antropogennoi\u2019 evoljucii\u2019 pozhyvnogo rezhymu chornozemiv [The features of human evolution of black soil nutrient regime]. Harkiv, Visnyk KhNAU 2008, no.1, pp.79-84. Sakhatsky O.\u0406. Dosvid vykorystannya suputnykovykh danykh dlya otsinky stanu gruntiv z metoyu rozvyazannya pryrodoresursnykh zadach [The experience of using satellite data for the assessment of soil to solve natural resource problems]. Dopovidi Natsional\u2019noyi akademiyi nauk Ukrayiny, Kiev, 2008, no. 3, pp. 109-115. Zubec M.V., Baljuk S.A., Medvedjev V.V., Grekov V.O. Suchasnyy stan gruntovoho pokryvu Ukrayiny i nevidkladni zakhody z yoho okhorony [The current state of soil Ukraine and urgent measures for its protection]. Agrochemistry and soil science. Collected papers, Kharkiv, 2010, pp.7-17. Truskaveckij S.R. Vykorystannya bahatospektral\u2019noho kosmichnoho skanuvannya ta heoinformatsiynykh system u doslidzhenni gruntovoho pokryvu Polissya Ukrayiny [The using multispectral satellite scanning and GIS in the study of soil Polissya Ukraine] Avtoref. dys. … kand. s.-g. nauk. Harkiv, 2006, 24 p. Shatohin A.V., Lyndin M.A. Soprjazhennoe izuchenie chernozemov Donbassa nazemnymi i distancionnymi metodami [The dual study of soils of Donbass based on ground and remote sensing methods]. Eurasian Soil Science, Kiev, 2001, no. 9, pp.1037-1044. Jamelynec T.S. Zastosuvannya geografichnyh informacijnyh system u gruntoznavstvi [The application of GIS in Soil]. Lviv, Vydavnycztvo Nacionalnogo universytetu imeni Ivana Franka, 2008, 194 p. Baret F., Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sens. Environ., 1991, vol. 35, pp. 161-173. Crippen R.E. Calculating the vegetation index faster. Remote sens. Environ., 1990, pp. 71-73. Huete A.R., Hua G., Normalization of multidirectional red and near red reflectance with the SAVI. Remote sens. Environ., 1992, vol. 40, pp. 1-20. Rouse J.W., Haas R.H., Schell J.A., [et al.]. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings. Third Earth Resources Technology Satellite-1 Sympos., NASA SP-351, Greenbelt, 1974, pp. 3010-3017.  \" \/>\n<meta property=\"og:url\" content=\"http:\/\/www.geology.com.ua\/en\/4398-2\/\" \/>\n<meta property=\"og:site_name\" content=\"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\" \/>\n<meta property=\"article:modified_time\" content=\"2017-06-22T13:21:46+00:00\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/4398-2\\\/\",\"url\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/4398-2\\\/\",\"name\":\"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\",\"isPartOf\":{\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/#website\"},\"datePublished\":\"2015-10-02T10:57:27+00:00\",\"dateModified\":\"2017-06-22T13:21:46+00:00\",\"breadcrumb\":{\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/4398-2\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[[\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/4398-2\\\/\"]]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/4398-2\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75\"}]},{\"@type\":\"WebSite\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/#website\",\"url\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/\",\"name\":\"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\",\"description\":\"\u0426\u0435\u043d\u0442\u0440 \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0443 \u0442\u0430 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0443 \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u043d\u0430\u0443\u043a \u043f\u0440\u043e \u0417\u0435\u043c\u043b\u044e\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/www.geology.com.ua\/en\/4398-2\/","og_locale":"en_US","og_type":"article","og_title":"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","og_description":"Geoinformatika 2015; 3(55) :\u00a068-75 (in Ukrainian) APPLICATION OF REMOTE SENSING DATA FOR OVERALL ASSESSMENT OF REGION SOILS L.V. Gebrin1, O.I. Sakhatsky2 1National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv 03058, Ukraine, e-mail: gebrin_liliya@mail.ru 2State Institution \u201cCentre for Aerospace Research of the Earth of\u00a0 the Institute of Geology, NAS of Ukraine\u201d, 55b\u00a0Gonchara Str., Kyiv 01601, Ukraine, e-mail: sakhatsky@casre.kiev.ua Purpose. The developed generalized methods of assessment of soil based on ground and space information could be an effective toolkit providing information and supporting management decisions for soil monitoring. Application of such techniques would result in proper use of agronomic measures for improving soil fertility, providing specific information about the state of soil of the areas. Design\/methodology\/approach. The experimental studies were conducted using software Erdas Imagine 2014 for radiometric calibration and atmospheric correction of the image, as well as for determining the spectral signatures and data of spectral channels to further define the correlation dependency and humus definition pixels in each image. With the assistance of the software ArcGis was created mapped schemes of investigated territory. Findings.\u00a0 This article reveals close correlation with a high determination coefficients between the spectral energy brightness of each pixel in the channels (red R = 0,732, R = 0,673 green and blue R = 0,702) of satellite images Landsat 8 OLI and the actual indicator of humus content (Hav.\u00a0=\u00a02,12) within the monitored areas of the administrative units of Transcarpathian region. The average vegetation indices of the studied area were determined (NDVI <\u00a00, 12), as well as the value of humus in each pixel of image spectral characteristics in the red channel. Thus example, for MD 19 Solomonove, with the indicator of actual humus content of 1,86 (as of 2013), a predictive indicator of humus was found in the range of 0,67 to 1,34, which suggests a significant reduction in soil fertility on the area as of 2015. Practical value\/implications. The study confirmed that the soils of Ukraine and its separate regions (Transcarpathian), quickly degrade and lose their nutritional value, especially humus. This trend makes them unsuitable for further use for agriculture, indicating the decline of agro-industrial complex as a whole. Ground methods of monitoring the crops condition are certainly effective, but it is a time-consuming expensive process. The generalized method of soil assessment that based on aerospace research is an efficient and reliable mechanism of management decision making sustainable agriculture. Keywords: soils, humus content, aerospace methods, spectral characteristics, correlation, linear dependence, remote sensing of the Earth. The full text of papers\u00a0 References: Achasov V.A., Bidolakh D.I. Ispol\u2019zovanie materialov kosmicheskoj i nazemnoj cifrovoj fotos\u2019emok dlja opredelenija soderzhanija gumusa v pochvah [The use of satellite and terrestrial digital photo opportunities for the determination of humus in the soil]. Eurasian Soil Science, 2008, no. 3, pp. 280-286. Informatsiyno-analitychnyy zvit pro monitorynh dovkillya v Zakarpats\u2019kiy oblasti za 2013 rik [The Information-analytical report of environmental monitoring of Transcarpathian region in 2013]. Available at: http:\/\/www ecozakarpat.gov.ua\/page id=1687\/ (Accessed: 22 May 2015). Kozoderov V.V., Dmitriev E.V. Ajerokosmicheskoe zondirovanie pochvenno-rastitel\u2019nogo pokrova: modeli, algoritmicheskoe i programmnoe obespechenie, nazemnaja validacija [The aerospace sensing land cover: models, algorithms and software, ground validation]. Moscow, Issledovanija Zemli iz Kosmosa, 2010, no. 1, pp. 69-86. Kohan S.S. Vehetatsiyni indeksy vidbyttya [The Vegetation index reflection]. Proceedings of the National Aviation University, 2005, issue 83, pp. 332-336. Kohan S.S. Zastosuvannya prostorovykh polipshuval\u2019nykh peretvoren\u2019 kosmichnykh znimkiv ta formuvannya pokhidnykh zobrazhen\u2019 dlya doslidzhennya ahroresursiv [The use of spatial transformations improvements satellite images and forming derivative images for the study of agrarian resources]. Visnyk heodeziyi ta kartohrafiyi, 2010, no. 3, pp. 22- 27. Ljalko V.\u0406., Popov M.O. Stan ta perspektyvy rozvytku dystantsiynykh metodiv doslidzhennya Zemli v Ukrayini [The state and prospects of development of Earth of remote sensing methods in Ukraine] Kiev, Geological Journal, 2011, no. 1, pp. 50-58. Nosko B.S. Osoblyvosti antropogennoi\u2019 evoljucii\u2019 pozhyvnogo rezhymu chornozemiv [The features of human evolution of black soil nutrient regime]. Harkiv, Visnyk KhNAU 2008, no.1, pp.79-84. Sakhatsky O.\u0406. Dosvid vykorystannya suputnykovykh danykh dlya otsinky stanu gruntiv z metoyu rozvyazannya pryrodoresursnykh zadach [The experience of using satellite data for the assessment of soil to solve natural resource problems]. Dopovidi Natsional\u2019noyi akademiyi nauk Ukrayiny, Kiev, 2008, no. 3, pp. 109-115. Zubec M.V., Baljuk S.A., Medvedjev V.V., Grekov V.O. Suchasnyy stan gruntovoho pokryvu Ukrayiny i nevidkladni zakhody z yoho okhorony [The current state of soil Ukraine and urgent measures for its protection]. Agrochemistry and soil science. Collected papers, Kharkiv, 2010, pp.7-17. Truskaveckij S.R. Vykorystannya bahatospektral\u2019noho kosmichnoho skanuvannya ta heoinformatsiynykh system u doslidzhenni gruntovoho pokryvu Polissya Ukrayiny [The using multispectral satellite scanning and GIS in the study of soil Polissya Ukraine] Avtoref. dys. … kand. s.-g. nauk. Harkiv, 2006, 24 p. Shatohin A.V., Lyndin M.A. Soprjazhennoe izuchenie chernozemov Donbassa nazemnymi i distancionnymi metodami [The dual study of soils of Donbass based on ground and remote sensing methods]. Eurasian Soil Science, Kiev, 2001, no. 9, pp.1037-1044. Jamelynec T.S. Zastosuvannya geografichnyh informacijnyh system u gruntoznavstvi [The application of GIS in Soil]. Lviv, Vydavnycztvo Nacionalnogo universytetu imeni Ivana Franka, 2008, 194 p. Baret F., Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sens. Environ., 1991, vol. 35, pp. 161-173. Crippen R.E. Calculating the vegetation index faster. Remote sens. Environ., 1990, pp. 71-73. Huete A.R., Hua G., Normalization of multidirectional red and near red reflectance with the SAVI. Remote sens. Environ., 1992, vol. 40, pp. 1-20. Rouse J.W., Haas R.H., Schell J.A., [et al.]. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings. Third Earth Resources Technology Satellite-1 Sympos., NASA SP-351, Greenbelt, 1974, pp. 3010-3017.  ","og_url":"http:\/\/www.geology.com.ua\/en\/4398-2\/","og_site_name":"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","article_modified_time":"2017-06-22T13:21:46+00:00","twitter_misc":{"Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"http:\/\/www.geology.com.ua\/en\/4398-2\/","url":"http:\/\/www.geology.com.ua\/en\/4398-2\/","name":"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","isPartOf":{"@id":"http:\/\/www.geology.com.ua\/en\/#website"},"datePublished":"2015-10-02T10:57:27+00:00","dateModified":"2017-06-22T13:21:46+00:00","breadcrumb":{"@id":"http:\/\/www.geology.com.ua\/en\/4398-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":[["http:\/\/www.geology.com.ua\/en\/4398-2\/"]]}]},{"@type":"BreadcrumbList","@id":"http:\/\/www.geology.com.ua\/en\/4398-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/www.geology.com.ua\/en\/"},{"@type":"ListItem","position":2,"name":"(\u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430) Geoinformatika 2015; 3(55) : 68-75"}]},{"@type":"WebSite","@id":"http:\/\/www.geology.com.ua\/en\/#website","url":"http:\/\/www.geology.com.ua\/en\/","name":"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","description":"\u0426\u0435\u043d\u0442\u0440 \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0443 \u0442\u0430 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0443 \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u043d\u0430\u0443\u043a \u043f\u0440\u043e \u0417\u0435\u043c\u043b\u044e","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"http:\/\/www.geology.com.ua\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/pages\/4398","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/comments?post=4398"}],"version-history":[{"count":8,"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/pages\/4398\/revisions"}],"predecessor-version":[{"id":6759,"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/pages\/4398\/revisions\/6759"}],"wp:attachment":[{"href":"http:\/\/www.geology.com.ua\/en\/wp-json\/wp\/v2\/media?parent=4398"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}