Comparative analysis of NDVI for optical and radar images

Authors

  • Iuliia Kibukevych

DOI:

https://doi.org/10.34185/1562-9945-5-136-2021-02

Keywords:

Landsat-8, Sentinel-2, Sentinel-1, NDVI, R2

Abstract

Climate change on the planet, such as abnormal heat, floods, forest and peat fires, dry winds, ice, significantly complicates agriculture and reduces worldwide food safety.. An effective solution is to use of space technologies. It allows to solve important agricul-tural problems, such as mapping of agricultural lands, determination the condition of soil and plantations at different stages of development, detection in time the processes of potential threat to the crop, forecasting weather conditions, planning agro-technical works and carry out satellite monitoring of agricultural plants.
In modern works several main indicators of vegetation indices (NDVI, LAI, EVI) are studied to assess the condition of plants, the presence of diseases, as well as to predict the yield of crops.Modern researches have confirmed that crop monitoring requires solutions that avoid the effects of cloudiness on time series construction.
In this work we compared the Normalized Difference Vegetation Index (NDVI) for different-time optical and radar images from Landsat-8, Sentinel-1 and Sentinel-2 satellites and determined the dependence of winter wheat on precipitation. The study was carried out on 5 plots with an area of 209 hectares with winter wheat, which are located in the in Dnipropetrovsk region, Ukraine. The time period for satellite monitoring is from August to January 2018.
To assess the condition and health of crops it should be taken into account values of precipitation, air temperature and soil moisture. In this work we found the highest correlation between NDVI values obtained with the radar satellite Sentinel-1 and precipitation values. The coefficient of determination for radar images Sentinel-1 is 25.65%, for optical images - 11.49%.This research shown that satellite crop monitoring with radar imaging is more effective than optical imaging.

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Published

2021-08-06