Grassland Monitoring Based on Geobotanical, Ground, Spectrometric and Satellite Data-Reference-Cited by-同舟云学术

Grassland Monitoring Based on Geobotanical, Ground, Spectrometric and Satellite Data

Published:2023-03-01 Issue:2 Volume:2023 Page:43-53
ISSN:0205-9614
Container-title:Исследования Земли из космоса
language:
Short-container-title:Issledovanie Zemli iz Kosmosa

Author:

Botvich I. Yu.¹,Kononova N. A.¹,Emelyanov D. V.¹,Pisman T. I.¹

Affiliation:

1. Institute of Biophysics SB RAS

Abstract

The study assessed the possibility of grassland monitoring based on various spectral vegetation indices (NDVI, ClGreen, NDRE, NDMI) calculated according to Sentinel-2 satellite data during the 2018 growing season. Geobotanical studies and collection of ground-based spectrophotometry data were carried out simultaneously, at the same time of day, and were used as an additional stage of haymaking monitoring. 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, NDMI) was observed on the date of mowing (25.07.2018). 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 25th and August 27th). The spatial distribution maps of the NDVI index of grasslands according to Sentinel-2 satellite data for certain dates (June 18th, July 10th, and August 27th) were drawn. The resulting maps make it possible to identify grasslands and mowing dates in large areas.

Publisher

The Russian Academy of Sciences

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