International Conference on

Ocean Remote Sensing and Climate Forecasting (ICORSCF-26)

Conference Date

21st Sep - 22nd Sep 2026

Conference Venue

Amsterdam, Netherlands

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Ocean Remote Sensing and Climate Forecasting"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 13
SDG 13 Climate Action
SDG 14
SDG 14 Life Below Water
SDG 15
SDG 15 Life on Land
SDG 17
SDG 17 Partnerships for the Goals
Track 01

Advancements in Ocean Remote Sensing Technologies

This track focuses on the latest innovations in remote sensing technologies applied to oceanography. Discussions will include satellite systems, sensor advancements, and data processing techniques that enhance ocean monitoring capabilities.

Track 02

Climate Change Impacts on Marine Ecosystems

This session will explore the effects of climate change on marine biodiversity and ecosystem dynamics. Researchers will present findings on species distribution shifts, habitat loss, and resilience strategies in marine environments.

Track 03

Satellite Applications in Ocean Color Monitoring

This track will delve into the use of satellite data for assessing ocean color and its implications for marine productivity. Presentations will cover methodologies for interpreting ocean color data and its relevance to ecological studies.

Track 04

Predictive Modeling of Ocean Dynamics

This session will examine advanced predictive modeling techniques used to simulate ocean dynamics and their interactions with climate systems. Researchers will share insights on model accuracy, validation, and applications in climate forecasting.

Track 05

Sea Surface Temperature Variability and Climate Trends

This track will investigate the variability of sea surface temperatures and their correlation with global climate trends. Presentations will highlight observational data, modeling efforts, and implications for climate policy.

Track 06

Environmental Observation and Data Collection Techniques

This session will focus on innovative methodologies for environmental observation and data collection in oceanography. Topics will include remote sensing platforms, in-situ measurements, and data integration approaches.

Track 07

Marine Monitoring: Challenges and Solutions

This track will address the challenges faced in marine monitoring and the solutions being developed to overcome them. Discussions will include technological, logistical, and regulatory hurdles in effective marine surveillance.

Track 08

Climate Modeling and Ocean-Atmosphere Interactions

This session will explore the role of ocean-atmosphere interactions in climate modeling. Researchers will present their findings on feedback mechanisms and their implications for climate predictions.

Track 09

Ecological Assessments of Marine Ecosystems

This track will focus on methodologies for assessing the health and sustainability of marine ecosystems. Presentations will cover ecological indicators, assessment frameworks, and case studies from various marine environments.

Track 10

Innovations in Oceanographic Satellite Applications

This session will highlight innovative applications of satellite technology in oceanographic research. Topics will include operational uses, research advancements, and future directions for satellite applications in ocean science.

Track 11

Interdisciplinary Approaches to Ocean and Climate Research

This track will emphasize the importance of interdisciplinary collaboration in addressing complex ocean and climate issues. Researchers from diverse fields will share insights on integrating physical and life sciences for comprehensive understanding.