супутникові знімки Sentinel-2

Assessment of Crop Condition Using Vegetation Indices Ndvi and Evi Based on Sentinel-2 Satellite Data – Two Case Studies

Objective. The study aims to assess the condition of agricultural crops using Sentinel-2 satellite imagery for two groups of agricultural plots located in the Lviv and Ternopil regions. The primary goal is to determine the spatio- temporal dynamics of vegetation indices NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index), which enables the identification of stressed vegetation zones and the general health level of crops throughout the growing season. Methods.

Analysis of Google Earth Engine Application for Detecting Agricultural Landscape Changes Using Sentinel-2 Data

Objective. The aim of the study was to test the technology for detecting changes in agricultural landscapes using Sentinel-2 satellite imagery and Google Earth Engine (GEE) tools on the example of the Zhovkva Territorial Community in Lviv region. The main objective was to identify land cover changes over the period 2017–2024 and determine their scale and trends. The study was conducted considering the need for land use monitoring and land cover dynamics, which are important for sustainable rural development. Methods.