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Investigating capability of open archive multispectral and SAR datasets for Wheat crop monitoring and acreage estimation studies

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Abstract

There is a necessity for new methods and technology for several agricultural applications and decision support systems. Technological development at the global, national, and regional level has shown a path for the application of spaceborne remote sensing for agriculture purposes. Remote sensing technology eases to detect areas within the plots for a reliable data supply to analyze the data. Spaceborne synthetic aperture radar (SAR) data are capable to provide a reliable data supply throughout the year. The global repetition rate is up to 12 days. The datasets acquired from the Sentinel-1 platform facilitates a ground resolution of 20 × 20 m and these sufficient for the synchronization of spaceborne multispectral and radar datasets for enhanced agricultural cropland monitoring applications and decision support systems. Sentinel-1 data is a C-band radar data sets in dual-polarizations. The signal intensity changes over according to humidity in the soil or vegetation cover and the surface structure. The variations in signal information being recovered at the sensor end help in the informed decision making. Besides, SAR datasets are capable to provide information on the phenological stage of agricultural cropland along with crop-type differentiation for specific use cases. The synchronous utilization of spaceborne multispectral and radar datasets for enhanced agricultural cropland monitoring applications and decision support systems can be transformed into informative map products for several processes. The same technology can be beneficial for monitoring crop conditions during any disaster and early warning systems for proper management of available resources.

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Authors and Affiliations

  1. Amity Institute of Geoinformatics & Remote Sensing (AIGIRS), Amity University Uttar Pradesh, Sector 125, Gautam Buddha Nagar, Noida, Uttar Pradesh, 201313, India

    Manjari Upreti & Deepak Kumar

  2. Department of Geoinformatics, School of Natural Resource Management, Central University of Jharkhand, Ranchi, India

    Manjari Upreti

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  1. Manjari Upreti
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  2. Deepak Kumar
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Correspondence to Deepak Kumar.

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Upreti, M., Kumar, D. Investigating capability of open archive multispectral and SAR datasets for Wheat crop monitoring and acreage estimation studies. Earth Sci Inform 14, 2017–2035 (2021). https://doi.org/10.1007/s12145-021-00656-9

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