INTEGRATING GEOAI-BASED MARINE CONSERVATION WITH FIQH AND USUL AL-FIQH: A REVIEW

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NURFAIRUNNAJIHA RIDZUAN, MOHD FIRDAUS NAWI, NAJATUL SU AD ABDULLAH, RASHIDAH ABDUL RAZAK, JULIANA MOHAMED

Abstract

Marine ecosystems are increasingly threatened by climate change, unsustainable fishing, coastal development, and pollution, necessitating more sophisticated and value-driven approaches to conservation. Geospatial Artificial Intelligence (GeoAI), which integrates GIS, remote sensing, and artificial intelligence, has emerged as a powerful tool for marine environmental governance through its capabilities in spatial analysis, environmental monitoring, predictive modelling, and decision support. At the same time, the Islamic disciplines of Fiqh and Usul al-Fiqh offer a comprehensive ethical and legal framework grounded in principles such as khilāfah (stewardship), mīzān (balance), maqāṣid al-sharīʿah (higher objectives of Islamic law), maṣlaḥah (public interest), and sadd al-dharī‘ah (blocking the means to harm). This paper conceptually explores the integration of GeoAI with Islamic jurisprudential principles to develop a holistic framework for marine conservation. It first outlines key GeoAI applications and then examines how Fiqh and Usul al-Fiqh can guide the ethical use of these technologies, particularly through maqasid-oriented governance and preventive approaches informed by sadd al-dharī‘ah. The study concludes that GeoAI can serve as an effective instrument to operationalise Islamic environmental ethics by providing empirical evidence for ethically grounded policy decisions. The proposed integration strengthens both scientific robustness and moral legitimacy in marine governance, especially in Muslim-majority contexts, and highlights future directions for institutional frameworks, capacity-building, and interdisciplinary collaboration

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G. Mai, Y. Xie, X. Jia, N. Lao, J. Rao, Q. Zhu, Z. Liu, Y. Y. Chiang & J. Jiao, “Towards The Next Generation of Geospatial Artificial Intelligence,” International Journal of Applied Earth Observation and Geoinformation 136 (2025): 104368.

S. Wang, X. Huang, P. Liu, M. Zhang, F. Biljecki, T. Hu, X. Fu, L. Liu, X. Liu, R. Wang, Y. Huang, J. Yan, J. Jiang, M. Chukwu, S. Reza Naghedi, M. Hemmati, Y. Shao, N. Jia, Z. Xiao, … S. Bao, “Mapping The Landscape And Roadmap Of Geospatial Artificial Intelligence (GeoAI) in Quantitative Human Geography: An Extensive Systematic Review,” International Journal of Applied Earth Observation and Geoinformation 128 (2024): 103734.

B. Ulum, F. Iḥsāni, & H. Mahnan, “Islamic Ethics in Sustainable Environmental Resource Management,” INCOME: Innovation of Economics and Management 4, no. 3 (2025): 81-86.

Hayat, M. S. Malik, M. W. Ali, M. Husnain, M. Shariff, & A. Haleem, “The Role of Islamic Environmental Ethics in the Alleviation of Climate Challenges and the Preservation of Ecosystem,” Russian Law Journal XI (2023): 395-404.

H. F. Iqbal, & S. Shukla, “Green Values: Environmental Sustainability and Moderation in Religious Teachings,” International Journal of Research in Management 7, no. 2 (2025): 92-98.

F. Mushtaq, L. M. Alhems, M. Farooq, & S. P. Tiwari, “A Comprehensive Review of Geomatics Based Coastal Zone Management in The Realm of Arabian Gulf, Saudi Arabia,” Discover Applied Sciences 7, no. 2 (2025).

H. Chen, J. Cheng, X. Ruan, J. Li, L. Ye, S. Chu, L. Cheng, & K. Zhang, “Satellite Remote Sensing and Bathymetry Co-Driven Deep Neural Network for Coral Reef Shallow Water Benthic Habitat Classification,” International Journal of Applied Earth Observation and Geoinformation 132 (2024): 104054.

B. Yong, K. Ismail, A. Ali, R. C. Hasan, & M. A. H. Muhamad, “Marine Landscape Mapping for Ecologically Relevant Habitat Suitability Modelling,” Earth Science Informatics 18, no. 2 (2025).

S. G. Klein, C. Roch, & C. M. Duarte, “Systematic Review of The Uncertainty of Coral Reef Futures Under Climate Change,” Nature Communications 15, no. 1 (2025): 2224.

C. Burns, B. Bollard, & A. Narayanan, “Machine-Learning for Mapping and Monitoring Shallow Coral Reef Habitats,” Remote Sensing 14, no. 11 (2022).

T. Nguyen, B. Liquet, K. Mengersen, & D. Sous, “Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers,” Remote Sensing 13, no. 21 (2021).

S. Franceschini, A. C. Meier, A. Suan, K. Stokes, S. Roy, & E. M. P. Madin, “A Deep Learning Model for Measuring Coral Reef Halos Globally from Multispectral Satellite Imagery,” Remote Sensing of Environment 292 (2023).

J. Li, D. E. Knapp, N. S. Fabina, E. V. Kennedy, K. Larsen, M. B. Lyons, N. J. Murray, S. R. Phinn, C. M. Roelfsema, & G. P. Asner, “A Global Coral Reef Probability Map Generated Using Convolutional Neural Networks,” Coral Reefs 39, no. 6 (2020): 1805-1815.

Candela, K. Edelson, M. M. Gierach, D. R. Thompson, G. Woodward, & D. Wettergreen, “Using Remote Sensing and in situ Measurements for Efficient Mapping and Optimal Sampling of Coral Reefs,” Frontiers in Marine Science 8 (2021).

Rodriguez-Ramirez, M. González-Rivero, O. Beijbom, C. Bailhache, P. Bongaerts, K. T. Brown, D. E. P. Bryant, P. Dalton, S. Dove, A. Ganase, E. V. Kennedy, C. J. S. Kim, S. Lopez-Marcano, B. P. Neal, V. Z. Radice, J. Vercelloni, H. L. Beyer, & O. Hoegh-Guldberg, “A Contemporary Baseline Record of The World’s Coral Reefs,” Scientific Data 7, no. 1 (2020).

J. C. Christiaanse, J. A. A. Antolínez, A. P. Luijendijk, P. Athanasiou, C. M. Duarte, & S. Aarninkhof, “Distribution of Global Sea Turtle Nesting Explained from Regional-Scale Coastal Characteristics,” Scientific Reports 14, no. 1 (2024).

M. M. P. B. Fuentes, M. Beal, & A. R. Patricio, “The Elusive Sex: Satellite Tracking Contributions to Male Sea Turtle Spatial Ecology,” Endangered Species Research 57 (2025).

Fujisaki, K. M. Hart, D. Bucklin, A. R. Iverson, C. Rubio, M. M. Lamont, R. de Jesus Gonzales Diaz Miron, P. M. Burchfield, J. Peña, & D. J. Shaver, “Predicting Multi-Species Foraging Hotspots for Marine Turtles in The Gulf of Mexico,” Endangered Species Research 43 (2020): 253-266.

M. A. Karp, M. Cimino, J. K. Craig, D. P. Crear, C. Haak, E. L. Hazen, I. Kaplan, D. R. Kobayashi, H. Moustahfid, B. Muhling, M. L. Pinsky, L. A. Smith, J. T. Thorson, & P. A. Woodworth-Jefcoats, “Applications of Species Distribution Modeling and Future Needs to Support Marine Resource Management,” ICES Journal of Marine Science 82, no. 3 (2025).

E. Abad, F. Izquierdo, J. Landa, F. Velasco, M. Hidalgo, & M. G. Pennino, “Identifying Spatiotemporal Variations in Four-Spot Megrim (Lepidorhombus boscii) Fishery Nurseries to Enhance Management and Stock Assessment,” Frontiers in Marine Science 12 (2025).

R. Musimwa, W. Standaert, M. Stevens, S. J. Fernández Bejarano, C. Muñiz, E. Debusschere, S. Pint, & G. Everaert, “Climate-Induced Habitat Suitability Modelling for Pelagic Fish in European Seas,” Frontiers in Marine Science 12 (2025).

N. Ridzuan, “Evaluating Coastal Erosion and Accretion Along Batu Ferringhi Beach with Digital Shoreline Analysis System,” BIO Web of Conferences 176 (2025).

M. Lundine, & A. Trembanis, “Data-Driven Shoreline Modeling: Historical Remote Sensing and Prediction Methods,” SSRN (2024).

S. Vitousek, K. Vos, K. D. Splinter, K. Parker, A. O’Neill, A. C. Foxgrover, M. K. Hayden, J. A. Thomas, L. Erikson, & P. L. Barnard, “Scalable, Data-Assimilated Models Predict Large-Scale Shoreline Response to Waves and Sea-Level Rise,” Scientific Reports 14, no. 1 (2024).

Demetris, M. Christodoulos, E. Evagoras, S. Neophytos, E. Marinos, T. Christos, C. Antonis, H. Thomas, & H. Diofantos, “A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring,” Applied Sciences 9 (2025).

K. Kikaki, I. Kakogeorgiou, I. Hoteit, & K. Karantzalos, “Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery,” ISPRS Journal of Photogrammetry and Remote Sensing 210 (2024): 39-54.

N. Prakash, & O. Zielinski, “AI-Enhanced Real-Time Monitoring of Marine Pollution: Part 1-A State-Of-The-Art and Scoping Review,” Frontiers in Marine Science 12 (2025).

R. Al-Ruzouq, M. B. A. Gibril, A. Shanableh, A. Kais, O. Hamed, S. Al-Mansoori, & M. A. Khalil, “Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review,” Remote Sensing 12, no. 20 (2020): 1-42.

S. T. Yekeen, & A. L. Balogun, “Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment,” Remote Sensing 12, no. 20 (2020): 1-31.

M. Zakzouk, A. M. Abdulaziz, I. Abou El-Magd, A. S. Dahab, & E. M. Ali, “Automated Oil Spill Detection Using Deep Learning and SAR Satellite Data for The Northern Entrance of The Suez Canal, Prediction and Vulnerability Assessment,” Scientific Reports 15, no. 1 (2025).

Gayo, E. Djuniarti, M. H. M Z, D. D. L. O. Malim, E. L. P. Nugrahani, P. N. Utami, S. Aristeus, & E. N. A. M. Sihombing, “Marine Conservation in the Seafaring Tradition of Lhok Teunom Coastal, Aceh Jaya Regency, Aceh, Indonesia: An Analysis from the Perspective of Fiqh Al-Bi’ah,” Journal of Islamic Thought and Civilization 15, no. 2 (2025): 306-326.Qur’an 7:56

M. Maga Sule, M. Salihi, A. Musa, M. M. Sule, & S. A. Musa, “Islam and Environmental Stewardship… Islam and Environmental Stewardship: Da’wah as a Viable Alternative,” Ishraqi 24, no. 1 (2025).

Subagiya, “Environmental Fiqh and Protecting Nature: How Islamized View on Nature Implemented,” Indonesian Journal of Islamization Studies 2, no. 2 (2025): 280-294.

S. A. Ahmad Shukor, A. Aldizar, L. Alhazami, & S. Mareta, “Oceanic Economic Resilience Policy: An Islamic Perspective for Coastal Sustainability,” Jurnal Lemhannas RI 12, no. 3 (2024): 403-416.

M. K. Khuluq, & A. Asmuni, “Hifz Al-Bi’ah as Part of Maqashid Al-Shari’ah and Its Relevance in the Context of Global Climate Change,” Indonesian Journal of Interdisciplinary Islamic Studies 7, no. 2 (2025).

A. Abdur-Rauf, E. M. T. E. Ali, S. A. Yusuf-Saba, & R. K. Showole, “Conceptual and Practical Dimensions of Islamic Finance for Sustainable Blue Economy for Halal Sustainability,” in M. A. Salisu, L. Raimi, N. B. Bamiro, & I. O. Elegbede (Eds.), Green and Blue Economy Frameworks for Halal Industry Sustainability (Springer Nature: Singapore, 2025).

P. R. Citaningati, & T. Alfianto, “Blue Economics in Islamic Economics Perspective: Fiqh Bi’ah Approach,” Journal of Islamic Economic Laws 7, no. 2 (2024): 128-160.

M. Yusuf, “Strengthening Eco Fiqh: an Intergration of Texts and Maslaha on Environmental Impact Analysis,” Al-Daulah Jurnal Hukum Dan Perundangan Islam (2020).

W. Z. Wan Hassan, & N. Md Noor, “Application of Sadd al-Dhara’i’ Theory in Curbing the Climate Change and Environmental Crisis in Malaysia in Parallel to the Demands of Maqasid Shariah,” International Journal of Academic Research in Business and Social Sciences 15, no. 3 (2025).