Remote sensing of 50 years of coastal urbanization and environmental change in the Arabian Gulf: a systematic review

B Dahy, M Al-Memari, A Al-Gergawi… - Frontiers in Remote …, 2024 - frontiersin.org
Since the 1970s oil boom, nations surrounding the Arabian Gulf have witnessed rapid
coastal urbanization, which accelerated in the early 2000s with the emergence of large …

Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system

TW Cui, J Zhang, K Wang, JW Wei, B Mu, Y Ma… - ISPRS Journal of …, 2020 - Elsevier
Accurate chlorophyll a concentration (Chla) retrieval in coastal waters from ocean color
remote sensing faces challenges due to the significant optical complexity compared to clear …

Quantitative retrieval of chlorophyll-a concentrations in the Bohai–Yellow sea using GOCI surface reflectance products

J Wang, J Tang, W Wang, Y Wang, Z Wang - Remote Sensing, 2023 - mdpi.com
As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for
monitoring water quality and managing the marine ecosystem. However, current mainstream …

A revision of NASA SeaDAS atmospheric correction algorithm over turbid waters with artificial Neural Networks estimated remote-sensing reflectance in the near …

J Wang, Y Wang, Z Lee, D Wang, S Chen… - ISPRS Journal of …, 2022 - Elsevier
For atmospheric correction over turbid waters, due to non-negligible water-leaving radiance
(L w) in the near-infrared (NIR), measurements in the short-wave infrared (SWIR) are usually …

WaterNet: A convolutional neural network for chlorophyll-a concentration retrieval

MA Syariz, CH Lin, MV Nguyen, LM Jaelani… - Remote Sensing, 2020 - mdpi.com
The retrieval of chlorophyll-a (Chl-a) concentrations relies on empirical or analytical
analyses, which generally experience difficulties from the diversity of inland waters in …

OC_3S: An optical classification and spectral scoring system for global waters using UV–visible remote sensing reflectance

J Men, X Chen, X Hou, J Tian, Q Song, L Tian - ISPRS Journal of …, 2023 - Elsevier
Classification of water bodies is an effective means of understanding the optical properties
of aquatic environments. However, most existing water classification systems are mainly …

Evaluation of hybrid models for maize chlorophyll retrieval using medium-and high-spatial-resolution satellite images

A Guo, H Ye, G Li, B Zhang, W Huang, Q Jiao, B Qian… - Remote Sensing, 2023 - mdpi.com
Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop
growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large …

Spectral-consistent relative radiometric normalization for multitemporal Landsat 8 imagery

MA Syariz, BY Lin, LG Denaro, LM Jaelani… - ISPRS Journal of …, 2019 - Elsevier
Radiometric normalization is a fundamental and important preprocessing method for remote
sensing applications using multitemporal satellite images due to uncertainties of at-sensor …

Correlation between concentrations of chlorophyll-a and satellite derived climatic factors in the Persian Gulf

M Moradi, N Moradi - Marine Pollution Bulletin, 2020 - Elsevier
Monthly mean satellite derived Chl-a, aerosols, wind, SST, PAR, and turbidity datasets were
used to investigate the possible factors regulating phytoplankton variability in the Persian …

[HTML][HTML] Uncertainty in satellite sea surface temperature with respect to air temperature, dust level, wind speed and solar position

MR Al-Shehhi - Regional Studies in Marine Science, 2022 - Elsevier
Sea surface temperature (SST) plays a significant role in studying climate change and
oceanic environmental processes. SST has always been measured with buoys and …