Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery

نویسندگان

چکیده

Water hyacinth (Pontederia crassipes, also known as Eichhornia crassipes) is a highly invasive aquatic macrophyte species, indigenous to Amazonia, Brazil and tropical South America. It was introduced India in 1896 has now become an environmental social challenge throughout the country community ponds, freshwater lakes, irrigation channels, rivers most other surface waterbodies. Considering its large speed of propagation on water under conducive conditions adverse impact infesting weed has, constant monitoring needed aid civic bodies, governments policy makers involved remedial measures. The synoptic coverage provided by satellite imaging remote sensing practices make it convenient find solution using this type data. While there established background for practice detection plants, use Synthetic Aperture Radar (SAR) yet be fully exploited hyacinth. This research focusses detecting within Vembanad Lake, Kuttanad, India. Here, results show that proven possible Sentinel-1 SAR A quantitative analysis performance presented traditional state-of-the-art change detectors. Analysis these more powerful detectors showed true positive ratings ~95% with 0.1% false alarm, showing significantly greater when compared We are therefore confident can monitored data extent infestation larger than resolution cell (bigger quarter hectare).

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2072-4292']

DOI: https://doi.org/10.3390/rs14122845