Manuscript Title

Modeling the Dynamics of Coastal and Marine Ecosystems: Integration of Remote Sensing Data and Field Observations for Resource Management

 

Author(s)

Budi Adhi Buono, Lazarus Tri Setyawanta, Amalia Diamantina

 

DOI Number: DOI: 10.5281/zenodo.10183374

 

Published: 13-05-2025

 

About The Author(s):

1. Budi Adhi Buono - Doctoral Program in Law, Faculty of Law, Diponegoro University, Jl. Prof. Soedarto, SH., Tembalang, Semarang.

2. Lazarus Tri Setyawanta - Lecturer, Doctoral Program in Law, Faculty of Law, Diponegoro University, Jl. Prof. Soedarto, SH., Tembalang, Semarang.

3. Amalia Diamantina - Lecturer, Doctoral Program in Law, Faculty of Law, Diponegoro University, Jl. Prof. Soedarto, SH., Tembalang, Semarang.

 

 

Abstract

The purpose of this study is to analyze Coastal and Marine Ecosystem Dynamics Modeling Based on Integration of Remote Sensing Data and Field Observations for Resource Management. This research method uses normative law with data collection techniques through library research, and the data source is primary data consisting of primary legal material, secondary legal material and tertiary legal material.The results showed that: Coastal and marine resources are very strategic ecosystems for national development, so in determining programs and policies, efforts must be made to make efficiency in the use of coastal space and resources, increase income/welfare of coastal communities, empower coastal communities, and enrich and improve the quality of natural resources. Modeling the dynamics of coastal and marine ecosystems and integrating data from remote sensing and field observations are important approaches in natural resource management. By understanding the complex interactions between living organisms and their environments, we can develop more effective strategies to protect and utilize these ecosystems sustainably. By continuously improving technology and collaboration across disciplines, we can face the challenges faced by coastal and marine ecosystems in the future.

 

 

Keywords

Modeling, Dynamics, Ecosystem, Coastal, Remote Sensing, Resource Management

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