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A Comparison of Single Date and Multitemporal Satellite Image for Crop Classifications with Machine Learning and Cloud Computing.
Authors
Megharani B Mayani,Dr. Rajeshwari L Itagi
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Keywords
Sentinel 2, Decision tree, Google Earth Engine, NIR, SWIR.
Abstract
With the growing demand for food security and sustainable agricultural practices, there is an urgent need for accurate and efficient methods to assess crop development and identify potential issues affecting yield. Remote sensing plays a crucial role in timely monitoring of land, water and soil. Geospatial technology offers a suite of tools and techniques that enable remote sensing, data analysis and monitoring of agricultural landscapes at various scales. Optical Earth Observation satellite data forms the basis for crop monitoring, agriculture practices, policy making, etc. In our study we used public datasets to get crop map of a cash crop; sugarcane. Sentinel 2 satellite data were used to produce maps depicting field ranges of sugarcane crop grown in part of north Karnataka, India. Data collected for 3 years was used an multi dated input for machine learning models in contrary with a single dated image. Dynamics nature of the crop and overlapping spectral behavior makes crop identification using single date image more challenging. Different Decision tree algorithms are used with the same set of data. Cloud computing service offered through Google Earth Engine is used for accessing satellite data and as well for computation. Near Infrared (NIR), Visible (Red, Green, Blue), Short Wave Infrared (SWIR) are the bands selected for our study. Our study revealed that using temporal images for crop identification is more complicated but resulted in good accuracies when compared with real data. Single date and multitemporal classification accuracies were compared using ground truth data as references. Multitemporal classification accuracies were more accurate than single date images for mapping sugarcane crop in this region.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A4191
Paper ID - 257294
Author type - Indian Author
Page Number(s) - k471-k475
Pubished in - Volume 12 | Issue 4 | April 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.39017
No Of Downloads - 72
Author Country - India, 590010, BELGAUM, BELGAUM, 590010, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Megharani B Mayani,Dr. Rajeshwari L Itagi, "A Comparison of Single Date and Multitemporal Satellite Image for Crop Classifications with Machine Learning and Cloud Computing.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.k471-k475, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4191.pdf
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