Crop growth monitoring through Sentinel and Landsat data based NDVI time-series

被引：25
作者：
Boori, M. S. [1 ,2 ,4 ]
Choudhary, K. [1 ,3 ,4 ]
Kupriyanov, A., V [1 ,5 ]
机构：
[1] Samara Natl Res Univ, Moskovskoye Shosse 34, Samara 443086, Russia
[2] Amer Sentinel Univ, Denver, CO 80231 USA
[3] Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R China
[4] Univ Rennes 2, Rennes, France
[5] RAS, IPSI RAS Branch FSRC Crystallog & Photon, Molodogvardeyskaya 151, Samara 443001, Russia
来源：
COMPUTER OPTICS | 2020年 / 44卷 / 03期
基金：
俄罗斯基础研究基金会;
关键词：
crop phenology; NDVI time-series; Sentinel-2 & Landsat; remote sensing; PHENOLOGY;
D O I：
10.18287/2412-6179-CO-635
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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 tittering, 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.
引用
收藏
页码：409 / 419
页数：11
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