Presentation + Paper
28 October 2022 Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India
Author Affiliations +
Abstract
Pontederia crassipes, commonly known as water hyacinth (WH), is a highly invasive aquatic weed and caused significant ecological and economic impact across the world. Remediation action includes manual monitoring and removal which are often time consuming and expensive. This paper proposes the use of multi-temporal multi-spectral drone imagery for WH mapping and monitoring in Patancheru Lake, Hyderabad, India. The data collection was done in two steps: 1) multi-spectral drone imagery and 2) ground optical image capturing through an Android mobile application. Data was collected in regular interval starting from January 2021. Spectral bands were used to produce the WH detection and mapping. We compare spectral signature of clean and infested water for five different sites inside the lake. Multitemporal water quality samples of these sites were also collected together with drone data to analyse the effect of WH infestation on those parameters. The multispectral data was processed using an unsupervised machine learning classifier named expectation maximisation (EM) clustering to create a segmentation map indicating WH, water and other regions.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vahid Akbari, Aviraj Datta, Deepayan Bhowmik, Armando Marino, Saurav Kumar, Srikanth Rupavatharam, G. Nagendra Prabhu, Adam Kleczkowski, J. Alice R. P. Sujeetha, and Savitri Maharaj "Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India", Proc. SPIE 12263, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2022, 122630C (28 October 2022); https://doi.org/10.1117/12.2639004
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Near infrared

Artificial intelligence

Remote sensing

Water

Back to Top