SYSTEM OF INDICATORS FOR ENVIRONMENTAL ASSESSMENT BASED ON EARTH REMOTE SENSING IN LANDSCAPE PLANNING
Heading:
| 1Yelistratova, LO, 1Apostolov, OA, KHYZHNIAK, АV, TOMCHENKO, ОV, CHEKHNIY, VМ, HODOROVSKYI, AY, ZAKHARCHUK, YV 1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine |
| Publication Language: English |
Abstract: Th e article substantiates a methodological approach for developing a system of environmental indicators based on remote sensing
data for use in landscape planning and environmental monitoring. It is shown that modern satellite missions and the global infrastructure for Earth observation data processing provide spatially consistent, quantitative, and regular information on the state and dynamics of key components of the natural environment. All of this is critically important for the inventory, assessment, and forecasting stages of landscape planning. |
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Arid Regions: Dual-Index Framework for Capturing Heterogeneous Environmental Dynamics in the Tarim Basin. Remote
Sensing, 17, No. 21, 3511. https://doi.org/10.3390/rs17213511
Chen J., Chen S., Fu R., Li D., Jiang H., Wang C., Peng Y., Jia K., Hicks B. J. (2022). Remote sensing big data for water environment
monitoring: current status, challenges, and future prospects. Earth’s Future, 10, No. 2. https://doi.org/10.1029/2021EF002289
Crabtree R., Potter C., Mullen R., Sheldon J., Huang S., Harmsen J., Rodman A., Jean C. (2009). A modeling and spatiotemporal
analysis framework for monitoring environmental change using NPP as an ecosystem indicator. Remote Sensing
of Environment, 113, No. 7, 1486—1496. https://doi.org/10.1016/j.rse.2008.12.014
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applied to estimate soil indicators — Review. Ecological Indicators, 135, 108517. https://doi.org/10.1016/j.ecolind.2021.108517
Dubovyk O. (2017). Th e role of Remote Sensing in land degradation assessments: opportunities and challenges. Eur. J. Remote
Sensing, 50, No. 1, 601—613. https://doi.org/10.1080/22797254.2017.1378926
European Environment Agency (2003). EEA core set of indicators (rev. 2) for EECCA countries. EEA.
Hadeel A., Jabbar M., Chen X. (2011). Remote sensing and GIS application in the detection of environmental degradation
indicators. Geo-Spatial Inform. Sci., 14, No. 1, 39—47. https://doi.org/10.1007/s11806-011-0441-z
Huang B., Li R., Ding Z., O’Connor P., Kong L., Xiao Y., Xu W., Guo Y., Yang Y., Li R., Ouyang Z., Wang X. (2020). A new
remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets.
Global Ecology and Conservation, 22, e00999. https://doi.org/10.1016/j.gecco.2020.e00999
Joint Research Centre, Institute for Environment and Sustainability. (2008). Environmental assessment of soil for monitoring.
Vol. I. Indicators & criteria. Publications Offi ce of the European Union. https://doi.org/10.2788/93515
Kholoshyn I. V., Syvyj M. J., Mantulenko S. V., Shevchenko O. L., Sherick D., Mantulenko K. M. (2023). Assessment of military
destruction in Ukraine and its consequences using remote sensing. IOP Conf. Ser.: Earth and Environmental Sci., 1254, No.
1, 012132. https://doi.org/10.1088/1755-1315/1254/1/012132
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manage the urban ecosystem services using high resolution remote-sensing. Ecological Indicators, 13, No. 1, 93—103.
https://doi.org/10.1016/j.ecolind.2011.05.016
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integrated environmental assessment model. Environmental Monitoring and Assessment, 48, No. 2, 139—156. https://doi.
org/10.1023/A:1005748402798
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census data. Int. J. Appl. Earth Observ. and Geoinform., 71, 95—108. https://doi.org/10.1016/j.jag.2018.05.010
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Ukrainian].
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based on remote sensing data for land consolidation. J. Cleaner Production, 239, 118126. https://doi.org/10.1016/j.
jclepro.2019.118126
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Application of indicator systems for monitoring and assessment of desertifi cation from national to global scales. Land
Degradation and Development, 22, No. 2, 184—197. https://doi.org/10.1002/ldr.1084
Soubry I., Doan T., Chu T., Guo X. (2021). A Systematic Review on the Integration of Remote Sensing and GIS to Forest
and Grassland Ecosystem Health Attributes, Indicators, and Measures. Remote Sensing, 13, No. 16, 3262. https://doi.
org/10.3390/rs13163262
Tong C., Ye W., Hou B. (2006). Developing an Environmental Indicator System for sustainable development in China: Two case
studies of selected indicators. Environmental Management, 38, No. 4, 688—702. https://doi.org/10.1007/s00267-004-0352-y
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assessment in Ho Chi Minh City, Viet Nam. IOP Conf. Ser.: Earth and Environmental Science, 1539, No. 1, 012008. https://
doi.org/10.1088/1755-1315/1539/1/012008
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environmental assessment of Ukraine. Space Science and Technology, 31, No. 5 (156), 11—22. https://doi.org/10.15407/
knit2025.05.000
diff erent scales using remote sensing and GIS methods. Landscape and Urban Planning, 67, No. 1—4, 43—65. https://doi.
org/10.1016/S0169-2046(03)00028-8
Wu J., Wang X., Zhong B., Yang A., Jue K., Wu J., Zhang L., Xu W., Wu S., Zhang N., Liu Q. (2020). Ecological environment
assessment for Greater Mekong Subregion based on Pressure-State-Response framework by remote sensing. Ecological
Indicators, 117, 106521. https://doi.org/10.1016/j.ecolind.2020.106521
Yelistratova L., Apostolov A., Khodorovskyi A., Tymchyshyn M. (2023). Monitoring Nitrogen Dioxide (NO2) in Environment
of Ukraine based on Satellite Data. Geomatics and Environmental Engineering, 17, No. 6, 95—110. https://doi.org/10.7494/
geom.2023.17.6.95
Yelistratova L. O., Khyzhniak A. V., Apostolov O. A., Tomchenko O. V., Hodorovsky A. Ya., Chekhniy V. M., Zakharchuk
Y. V. (2025). Concept for the integration of remote sensing data into the landscape planning toolkit for comprehensive
environmental assessment of Ukraine. Space Science and Technology, 31, No. 5 (156), 11—22. https://doi.org/10.15407/
knit2025.05.000