2019
DOI: 10.21046/2070-7401-2019-16-4-124-136
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Thermodynamic approach to satellite mapping of accumulated ecological losses of forest ecosystems

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Cited by 4 publications
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“…As follows from the analysis, in order to automatically detect the TWDS impact on forest vegetation cover, an automated system for remote monitoring of vegetation cover (SRMV) in the TWDS areas should be launched, being able to provide the following capabilities: 1) service for definition of the list of the forest sites (allocations) having similat taxonomy (basic breeds, stock, bonitet) to the ones in the areas of TWDS, 2) service for definition of the list of forest areas (allotments) having similar weather and climatic characteristics (temperature, humidity, soil moisture, wind speed and direction) to the ones in the areas of TWDS, 3) service for making up the pairs ("observed site" -"reference site") based on the similarity in taxonomy and weather and climatic conditions for each observed TWDS (taking into account the wind rose and proximity of the sites to TWDS), , 0 (2020) https://doi.org/10.1051/e3sconf /20201490 E3S Web of Conferences 149 1002 1002 RPERS 2019 4) service for calculation of the spectral indices characterizing the state of the vegetation cover, including NDVI, AVFI1600, DWSI5, EVI, NDNI, OSAVI, PEI, TCARI (see the paper [1] and references) and TIEHD [3,4], based on medium and high spatial resolution to historical and current satellite observations for pairs ("observed site" -"reference site") of forest plots (allotments); 5) service of estimation of difference in spectral indices for the pairs of the sites ("observed site" -"reference site") having the same weather and climatic conditions and having the same taxonomy at the beginning of monitoring, 6) service for analysis of phenological seasonal cycles of pairs of spectral indices for pairs of sites ("observed site" -"reference site") having the same taxonomy at the beginning of monitoring, 7) service for detection and monitoring of long-term cumulative trends of spectral index differences for pairs ("observed site" -"reference site"), 8) service for distinguishability assessment (statistical measure of distinguishability) for pairs ("observed site" -"reference site") having the same weather and climatic conditions, in particular, using the Jeffries-Matsushita distance [5]. All the above algorithms and services should be provided with remote access user web interfaces [6].…”
Section: Requirements For the Services Of Detection Of The Twds Impacmentioning
confidence: 99%
“…As follows from the analysis, in order to automatically detect the TWDS impact on forest vegetation cover, an automated system for remote monitoring of vegetation cover (SRMV) in the TWDS areas should be launched, being able to provide the following capabilities: 1) service for definition of the list of the forest sites (allocations) having similat taxonomy (basic breeds, stock, bonitet) to the ones in the areas of TWDS, 2) service for definition of the list of forest areas (allotments) having similar weather and climatic characteristics (temperature, humidity, soil moisture, wind speed and direction) to the ones in the areas of TWDS, 3) service for making up the pairs ("observed site" -"reference site") based on the similarity in taxonomy and weather and climatic conditions for each observed TWDS (taking into account the wind rose and proximity of the sites to TWDS), , 0 (2020) https://doi.org/10.1051/e3sconf /20201490 E3S Web of Conferences 149 1002 1002 RPERS 2019 4) service for calculation of the spectral indices characterizing the state of the vegetation cover, including NDVI, AVFI1600, DWSI5, EVI, NDNI, OSAVI, PEI, TCARI (see the paper [1] and references) and TIEHD [3,4], based on medium and high spatial resolution to historical and current satellite observations for pairs ("observed site" -"reference site") of forest plots (allotments); 5) service of estimation of difference in spectral indices for the pairs of the sites ("observed site" -"reference site") having the same weather and climatic conditions and having the same taxonomy at the beginning of monitoring, 6) service for analysis of phenological seasonal cycles of pairs of spectral indices for pairs of sites ("observed site" -"reference site") having the same taxonomy at the beginning of monitoring, 7) service for detection and monitoring of long-term cumulative trends of spectral index differences for pairs ("observed site" -"reference site"), 8) service for distinguishability assessment (statistical measure of distinguishability) for pairs ("observed site" -"reference site") having the same weather and climatic conditions, in particular, using the Jeffries-Matsushita distance [5]. All the above algorithms and services should be provided with remote access user web interfaces [6].…”
Section: Requirements For the Services Of Detection Of The Twds Impacmentioning
confidence: 99%