IoT as a backbone of intelligent homestead automation

M Dobrojevic, N Bacanin - Electronics, 2022 - mdpi.com
The concepts of smart agriculture, with the aim of highly automated industrial mass
production leaning towards self-farming, can be scaled down to the level of small farms and …

Phycocyanin concentration retrieval in inland waters: A comparative review of the remote sensing techniques and algorithms

Y Yan, Z Bao, J Shao - Journal of Great Lakes Research, 2018 - Elsevier
Phycocyanin (PC), as a characteristic pigment, is more suitable for monitoring
cyanobacterial blooms and toxic cyanobacteria than chlorophyll-a (Chl-a). Because the …

Classification of algal bloom species from remote sensing data using an extreme gradient boosted decision tree model

JG Ghatkar, RK Singh… - International Journal of …, 2019 - Taylor & Francis
Coastal and open ocean regions throughout the world are now subject to an array of toxic,
harmful, or more intense algal blooms with an increasing trend of incidence over large …

Cyanobacterial pigment concentrations in inland waters: Novel semi-analytical algorithms for multi-and hyperspectral remote sensing data

PJ Dev, A Sukenik, DR Mishra, I Ostrovsky - Science of the Total …, 2022 - Elsevier
Cyanobacteria are notorious for producing harmful algal blooms that present an ever-
increasing serious threat to aquatic ecosystems worldwide, impacting the quality of drinking …

[HTML][HTML] Dynamic monitoring of phycocyanin concentration in Chaohu Lake of China using Sentinel-3 images and its indication of cyanobacterial blooms

J Wang, Z Wang, Y Cui, S Yan - Ecological Indicators, 2022 - Elsevier
Phycocyanin (PC) is an indicator pigment of cyanobacteria in water. Monitoring the dynamic
variation of PC concentration in lakes by satellite remote sensing is of great significance for …

Regional satellite algorithms to estimate chlorophyll-a and total suspended matter concentrations in Vembanad Lake

V Theenathayalan, S Sathyendranath, G Kulk… - Remote Sensing, 2022 - mdpi.com
A growing coastal population is leading to increased anthropogenic pollution that greatly
affects coastal and inland water bodies, especially in the tropics. The Sustainable …

Assessment of trophic state and water quality of coastal-inland lakes based on Fuzzy Inference System

A Kulshreshtha, P Shanmugam - Journal of Great Lakes Research, 2018 - Elsevier
Accurate assessment and monitoring of coastal and inland water quality by satellite optical
remote sensing is challenging due to improper atmospheric correction algorithm, inaccurate …

UV-NIR approach with non-zero water-leaving radiance approximation for atmospheric correction of satellite imagery in inland and coastal zones

RK Singh, P Shanmugam, X He, T Schroeder - Optics Express, 2019 - opg.optica.org
In the atmospheric correction process of the satellite ocean color data, the removal of the
aerosol scattering contribution over the coastal and inland water bodies has been a major …

A modern robust approach to remotely estimate chlorophyll in coastal and inland zones

P Shanmugam, X He, RK Singh, T Varunan - Advances in Space Research, 2018 - Elsevier
The chlorophyll concentration of a water body is an important proxy for representing the
phytoplankton biomass. Its estimation from multi or hyper-spectral remote sensing data in …

Novel method for reconstruction of hyperspectral resolution images from multispectral data for complex coastal and inland waters

S Banerjee, P Shanmugam - Advances in Space Research, 2021 - Elsevier
Hyperspectral resolution image products of a synthetic sensor featuring the high spatial
resolution of the space-borne sensor can offer cost-effective means for enhancing our …