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Journal Paper Publications

1.  Ilham Jamaluddin, Ying-Nong Chen, Kuo-Chin Fan. "Spatial–Spectral–Temporal Deep Regression Model With Convolutional Long Short-Term Memory and Transformer for the Large-Area Mapping of Mangrove Canopy Height by Using Sentinel-1 and Sentinel-2 Data",  IEEE Transactions on Geoscience and Remote Sensing - TGRS (Volume: 62, 2024), (SCIE, IF=8.6) Link 

2.  Ilham Jamaluddin, Ying-Nong Chen, Amalia Gita Ayudyanti, Lin Hui, Kuo-Chin Fan. "A 3D Spatial–Spectral–Temporal Deep Regression Model for Improving Mangrove Canopy Height Estimation Through Fusion of Optimized Red-Edge Sentinel-2 Bands and Sentinel-1 SAR Data",   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - JSTARS (2025), (SCIE, IF=5.3) Link 

3. Ilham Adi Panuntun, Ilham Jamaluddin, Ying-Nong Chen, Shiou-Nu Lai, and Kuo-Chin Fan. "LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset", Remote Sensing (2024), (SCIE, IF=4.1) Link 

4. Muhammad Dimyati, Deha Agus Umarhadi, Ilham Jamaluddin, Disyacitta Awanda, Wiwid Widyatmanti. "Mangrove monitoring revealed by MDPrePost-Net using archived Landsat imageries", Remote Sensing Applications: Society and Environment (2023), (ESC, IF=4.5) Link 

5.  Febryanto Simanjuntak, Ilham Jamaluddin, Tang-Huang Lin, Hary Aprianto Wijaya Siahaan and Ying-Nong Chen. “Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes”, Remote Sensing (2022), (SCIE, IF=4.1) Link 

6.  Ilham Jamaluddin, Ying-Nong Chen, Syafiq Muhammad Ridha, Panji Mahyatar and Amalia Gita Ayudyanti. “Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020)”, Geomatics, MDPI (2022), (ESCI, IF=2.8)  Link 

7. Ilham Jamaluddin, Tipajin Thaipisutikul, Ying-Nong Chen, Chi-Hung Chuang and Chih-Lin Hu. “MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 using Sentinel-2 Data”, Remote Sensing (2021), (SCIE, IF=4.1) Link 

8. Coming Soon ~

Conference Paper Publications

1. Ilham Jamaluddin, Ying-Nong Chen, Amalia Gita Ayudyanti, Kuo-Chin Fan. "Exploring red-edge spectral indices for mangrove canopy height mapping using random forest regression with Sentinel-2 and spaceborne GEDI LiDAR data",  Presented in the Asia-Pacific Remote Sensing (APRS) 2024, SPIE. Digital Library . Link

2. Amalia Gita Ayudyanti, Ying-Nong Chen, Ilham Jamaluddin. "Performance comparison of different algorithms for land surface temperature (LST) retrieval from Landsat-8 and the use of deep neural network regression to enhance the LST result (Case Study: Dallas, Texas and surrounding areas)", Presented in the Asia-Pacific Remote Sensing (APRS) 2024, SPIE. Digital Library . Link

3. Ilham Jamaluddin and Ying-Nong Chen. "Evaluating deep learning semantic segmentation architectures for mangrove mapping and monitoring using sentinel-2 data (case study: coastal zone of Rookery Bay, Florida, USA)", Presented in the 7th Geoinformation Science Symposium, SPIE. Digital Library (2024).  Link 

4. Ilham Adi Panuntun, Ying-Nong Chen, Ilham Jamaluddin, Thi Linh Chi Tran, "Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery",  Presented at 44th Asian Conference on Remote Sensing (ACRS) (2023). Link 

5. Ilham Jamaluddin, Ying-Nong Chen, Ilham Adi Panuntun, "Modified U-Net by Adding Twin Extractors for Multi-Sensor Satellite Images Fusion to Map Mangrove Forest", Presented at 44th Asian Conference on Remote Sensing (ACRS) (2023). Link  (JSPRS Award)

6. Ilham Jamaluddin, Ying-Nong Chen, William Krista M., Disyacitta Awanda, “Deep neural network regression for estimating land surface temperature at 10-meter spatial resolution using Landsat-8 and Sentinel-2 data”, Presented in the 7th Geoinformation Science Symposium, SPIE. Digital Library (2021). Link (Best Paper Award)

7. Ilham Jamaluddin and Ying-Nong Chen, “Densely Connected Convolutional Networks to Map Mangroves Using Medium Resolution Satellite Imagery”, Presented in International Symposium on Remote Sensing (2021).  Link 

8. William Krista M., Ilham Jamaluddin, Wirastuti Widyatmanti, “The Analysis of Image Combination Effect to Tropical Peat Swamp Mapping in some parts of Palangkaraya City, Indonesia”, Presented in International Symposium on Remote Sensing (2021).Link 

9. Disyacitta Awanda, Tang-Huang Lin, Ilham Jamaluddin, “Remote Sensing of Soil Moisture Application Based on Temperature Vegetation Dryness Index for Wildfire Risk”, Presented in International Symposium on Remote Sensing (2021). Link 

10.  Muhammad Kamal, Nur Mohammad Farda, Ilham Jamaluddin, Artha Parela, Ketut Wikantika, Lilik Budi P., Bambang Irawan, “A preliminary study on machine learning and google earth engine for mangrove mapping”, Presented in IOP Conference Series Earth and Environmental Science (2021). Link 

11. William Krista M., Ilham Jamaluddin, Muhammad Kamal, “Mangroves Change Detection using Support Vector Machine Algorithm on Google Earth Engine (A Case Study in Part of Gulf of Bone, South Sulawesi, Indonesia)”, Presented in the 40th Asian Conference on Remote Sensing (2019). Link 

12. Muhammad Kamal, Ilham Jamaluddin, Artha Parela, Nur Mohammad Farda, “Comparison of Google Earth Engine (GEE)-based Machine Learning Classifiers for Mangrove Mapping”, Presented in the 40th Asian Conference on Remote Sensing (2019).Link 

13. Ilham Jamaluddin, William Krista M., Desrina Putri H., Muhammad Kamal, “Conformity Analysis on the Use of Hydro Enforcement Method to Produce Digital Terrain Model Using the LiDAR Data as Indonesian Basic Geospatial Information, Case Study: Sumedang District, West Java, Indonesia”, Presented in the 40th Asian Conference on Remote Sensing (2019).Link 

14. Coming Soon ~

Reviewer in Peer-reviewed Journals

• IEEE Transactions on Geoscience and  Remote Sensing (TGRS), (SCIE, IF=8.6)

• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS, (SCIE, IF=5.3)

• Geo-spatial Information Science, Taylor & Francis, (SCIE, IF=6)

• International Journal of Digital Earth, Taylor & Francis, (SCIE, IF=5.1)

• Remote Sensing, MDPI, (SCIE, IF=4.1)

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