[HTML][HTML] A meta-analysis on harmful algal bloom (HAB) detection and monitoring: a remote sensing perspective
Algae serves as a food source for a wide range of aquatic species; however, a high
concentration of inorganic nutrients under favorable conditions can result in the …
concentration of inorganic nutrients under favorable conditions can result in the …
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
A review on monitoring, forecasting, and early warning of harmful algal bloom
Harmful algal blooms (HABs) occur in most coastal regions worldwide, with microalgae
playing a major role in coastal waters. In recent decades, the number of algal blooms in …
playing a major role in coastal waters. In recent decades, the number of algal blooms in …
Remote estimation of trophic state index for inland waters using Landsat-8 OLI imagery
Remote monitoring of trophic state for inland waters is a hotspot of water quality studies
worldwide. However, the complex optical properties of inland waters limit the potential of …
worldwide. However, the complex optical properties of inland waters limit the potential of …
Remote sensing estimation of chlorophyll-A in case-II waters of coastal areas: Three-band model versus genetic algorithm–artificial neural networks model
J Chen, S Chen, R Fu, C Wang, D Li… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Chlorophyll-a (Chl-a), an important indicator of phytoplankton biomass and eutrophication,
is sensitive to water constitutes and optical characteristics. An integrated machine learning …
is sensitive to water constitutes and optical characteristics. An integrated machine learning …
[HTML][HTML] Monitoring Harmful Algal Blooms and Water Quality Using Sentinel-3 OLCI Satellite Imagery with Machine Learning
Cyanobacterial harmful algal blooms release toxins and form thick blanket layers on the
water surface causing widespread problems, including serious threats to human health …
water surface causing widespread problems, including serious threats to human health …
Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques
R Bhattacharjee, A Gupta, N Das, AK Agnihotri… - Environmental …, 2022 - Springer
River Ganga is one of the most significant rivers in the country. This river is the adobe for
numerous aquatic species and microorganisms. The color of the river suddenly changed to …
numerous aquatic species and microorganisms. The color of the river suddenly changed to …
Soil erosion response to land use change in a mountainous rural area of Son La Province of Vietnam
TC Nguyen, M Whelan, JD Nichols - Environmental Monitoring and …, 2022 - Springer
This study investigated the changes in soil erosion associated with land use change from
2000 to 2020 in a mountainous rural area. Land use change was detected using Landsat …
2000 to 2020 in a mountainous rural area. Land use change was detected using Landsat …
Detection and mapping of water and chlorophyll-a spread using Sentinel-2 satellite imagery for water quality assessment of inland water bodies
Water quality monitoring of reservoirs is currently a significant challenge in the tropical
regions of the world due to limited monitoring stations and hydrological data. Remote …
regions of the world due to limited monitoring stations and hydrological data. Remote …
[PDF][PDF] 基于GF1_WFV 的千岛湖水体叶绿素a 浓度时空变化
徐鹏飞， 毛峰， 金平斌， 程乾 - 中国环境科学, 2020 - zghjkx.com.cn
基于高分一号(GF-1) 遥感影像以及水体实测样点数据, 运用波段对数组合, 以千岛湖为研究对象,
构建和择优了叶绿素a 浓度反演模型, 对2013~ 2019 年千岛湖区域水体叶绿素a …
构建和择优了叶绿素a 浓度反演模型, 对2013~ 2019 年千岛湖区域水体叶绿素a …