I. Yu. Botvich, N. A. Kononova, D. V. Emelyanov, T. I. Pisman
{"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":null,"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":0.9000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Izvestiya Atmospheric and Oceanic Physics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1134/s0001433823090050","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Izvestiya, Atmospheric and Oceanic Physics is a journal that publishes original scientific research and review articles on vital issues in the physics of the Earth’s atmosphere and hydrosphere and climate theory. The journal presents results of recent studies of physical processes in the atmosphere and ocean that control climate, weather, and their changes. These studies have possible practical applications. The journal also gives room to the discussion of results obtained in theoretical and experimental studies in various fields of oceanic and atmospheric physics, such as the dynamics of gas and water media, interaction of the atmosphere with the ocean and land surfaces, turbulence theory, heat balance and radiation processes, remote sensing and optics of both media, natural and man-induced climate changes, and the state of the atmosphere and ocean. The journal publishes papers on research techniques used in both media, current scientific information on domestic and foreign events in the physics of the atmosphere and ocean.