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ICEMRSE · Registering as Listener
International Conference on Environmental Monitoring and Remote Sensing Engineering
9–10 Jan 2027
Shanghai, China
Standard / Physical
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$
135
virtual · $175 in person
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$175
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
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Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Advancements in Satellite Imagery for Environmental Monitoring
This track focuses on the latest developments in satellite imagery technologies and their applications in environmental monitoring. Participants will explore case studies demonstrating the effectiveness of satellite data in tracking pollution and assessing ecological health.
02
GIS Applications in Remote Sensing and Environmental Analysis
This session will delve into the integration of Geographic Information Systems (GIS) with remote sensing data for enhanced environmental analysis. Topics will include spatial data visualization, mapping techniques, and the role of GIS in sustainable development.
03
Predictive Modeling Techniques in Environmental Engineering
This track aims to discuss innovative predictive modeling approaches used in environmental engineering. Emphasis will be placed on methodologies that leverage remote sensing data to forecast environmental changes and assess risks.
04
Feature Extraction Methods in Remote Sensing Data
Participants will examine various feature extraction techniques utilized in processing remote sensing data for environmental applications. The session will highlight advancements in machine learning and image processing that enhance feature identification.
05
Sensor Technologies for Environmental Monitoring
This track will cover the latest sensor technologies deployed in environmental monitoring efforts. Discussions will include the integration of IoT devices and remote sensing platforms for real-time data collection and analysis.
06
Data Analytics in Environmental Remote Sensing
This session will focus on the role of data analytics in interpreting remote sensing data for environmental applications. Participants will explore analytical frameworks that facilitate decision-making in environmental management.
07
Sustainable Development and Remote Sensing Applications
This track will investigate the contributions of remote sensing technologies to sustainable development initiatives. Case studies will illustrate how remote sensing supports resource management and environmental conservation efforts.
08
Pollution Tracking and Mitigation through Remote Sensing
This session will address methodologies for tracking pollution sources and assessing their impacts using remote sensing techniques. Participants will discuss innovative approaches to mitigate pollution based on remote sensing data.
09
Ecological Assessment Using Remote Sensing Technologies
This track will explore the application of remote sensing technologies in ecological assessments and biodiversity monitoring. Participants will share insights on how remote sensing can enhance ecological research and conservation strategies.
10
Infrastructure Monitoring and Optimization with Remote Sensing
This session will focus on the use of remote sensing for infrastructure monitoring and optimization. Discussions will include techniques for assessing structural integrity and environmental impacts on infrastructure.
11
System Optimization in Environmental Engineering
This track will examine approaches to optimize systems in environmental engineering through the use of remote sensing data. Participants will discuss strategies for improving efficiency in environmental monitoring processes.