Abstract
Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to understand how environment and climate change effect on crops especially in Russia as it has a large and diverse agricultural production. In this study, we assimilated monthly crop phenology from January to December 2018 by using the NDVI time series derived from moderate to high Spatio-temporal resolution Sentinel and Landsat data in cropland field at Samara airport area, Russia. The results support the potential of Sentinel and Landsat data derived NDVI time series for accurate crop phenological monitoring with all crop growth stages such as active tillering, jointing, maturity and harvesting according to crop calendar with reasonable thematic accuracy. This satellite data generated NDVI based work has great potential to provide valuable support for assessing crop growth status and the above-mentioned objectives with sustainable agriculture development.
Highlights
Increasing the world population, increase the presser on agriculture land and production to compete for the demand
The resulted from the Normalized Difference Vegetation Index (NDVI) time series show a distinct phenological peak related to crop growth according to the crop calendar
Crop growth was monitored and mapped by NDVI time series derived from Sentinel-2B and Landsat Operational Land Imager (OLI) data with ground-truthing
Summary
Increasing the world population, increase the presser on agriculture land and production to compete for the demand. In Russian context agriculture, land use is going under dramatic changes due to extreme weather conditions, socioeconomic activities and human interference in natural resources as well as capitalism and rural depopulation. This is reducing the overall willingness and interest in farming or agriculture in Russia as extreme weather conditions repeat in terms of frequency and magnitude. This highlights the urgent call for crop growth monitoring study throughout the growing season to increase crop resilience and reduce production risks [3]
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