[GeoSmart]

 Land cover and landslide monitoring:

1.        Aman, M. A., Chu H-J *, & Yunus, A. P. (2024). Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data. Earth Systems and Environment, 1-17.

2.        Mohammad Adil Aman, Chu, H. J*, (2023). Long-term river extent dynamics and transition detection using remote sensing: case studies of Mekong and Ganga River, Science of the Total Environment 876, 162774

3.        Ali, M. Z., Chu, H. J.*, Chen, Y. C., & Ullah, S. (2021). Machine learning in earthquake-and typhoon-triggered landslide susceptibility mapping and critical factor identification. Environmental Earth Sciences, 80(6), 233.

4.        Chen, Y.C, Chang, KT, Wang, S.F, Huang, JC, Yu, CK, Tu, J.Y, Chu, HJ & Liu, CC. 2019, Controls of preferential orientation of earthquake- and rainfall-triggered landslides in Taiwan's orogenic mountain belt, Earth Surface Processes and Landforms, 44 (9), 1661-1674.

Drought and flood detection:

1.        Kumar V, Chu H-J *, (2024). Seasonal drought severity identification using a modified multivariate index: a case study of Indo-Gangetic Plains in India, Journal of Hydrology 629, 130632.

2.        Kumar V, Chu H-J*, (2024). Spatiotemporal consistency and inconsistency of meteorological and agricultural drought identification: A case study of India, Remote Sensing Applications: Society and Environment, 33, 101134.

3.        Kumar V, Chu H-J*, Anand A. (2024). Impacts of Sea Surface Temperature Variability in the Indian Ocean on Drought Conditions over India during ENSO and IOD Events. Journal of Marine Science and Engineering. 2024; 12(1):136

4.        Wijayanti, R. F., Jaelani, L. M., Handayani, H. H., & Chu, H. J. (2021). Drought Index Mapping in Java Island Using Sentinel-3 SLSTR. International Journal of Geoinformatics, 17(4), 97–108.

5.   Chu, H. J.*, Wijayanti, R. F., Jaelani, L. M., & Tsai, H. P. (2021). Time Varying Spatial Downscaling of Satellite-Based Drought Index. Remote Sensing, 13(18), 3693. 

Water and air quality mapping:

1.        Lu, Q. O., Chang, W. H., Chu, H. J., & Lee, C. C. (2024). Enhancing Indoor PM2. 5 Predictions Based on Land Use and Indoor Environmental Factors by Applying Machine Learning and Spatial Modeling Approaches. Environmental Pollution, 125093.

2.        Chu, H. J*, & He, Y. C. (2023). Remote sensing water quality inversion using sparse representation: Chlorophyll-a retrieval from Sentinel-2 MSI data. Remote Sensing Applications: Society and Environment, 101006.

3.        Chusnah, W. N., & Chu, H. J*, Tatas, Jaelani, L. M. (2023). Machine-learning-estimation of high-spatiotemporal-resolution chlorophyll-a concentration using multi-satellite imagery, Sustainable Environment Research 33(1), 1-14.

4.        Chusnah, W. N., & Chu, H. J.* (2022). Estimating chlorophyll-a concentrations in tropical reservoirs from band-ratio machine learning models. Remote Sensing Applications: Society and Environment, 100678.

5.        Chu, H. J.*, He, Y. C., Chusnah, W. N. U., Jaelani, L. M., & Chang, C. H. (2021). Multi-Reservoir Water Quality Mapping from Remote Sensing Using Spatial Regression. Sustainability, 13(11), 6416.

6.    Chu, H. J.*, Ali, M. Z., & He, Y. C. (2020). Spatial calibration and PM 2.5 mapping of low-cost air quality sensors. Scientific Reports, 10, 22079. 

 Groundwater and subsidence:

1.        Tatas, Chu, H. J.* (2024), Effective hydraulic head control rule identification for unrecoverable Subsidence mitigation, Water Resources Management 38(9), 3313-3327.

2.        Chu, H. J.*, Tatas, Patra, S. R., Thomas J Burbey, (2024). Spatiotemporal subsidence feature decomposition and hotspot identification, Environmental Earth Sciences 83(4), 124.

3.        Patra, S. R., & Chu, H. J* (2023). Regional groundwater sequential forecasting using global and local LSTM models. Journal of Hydrology: Regional Studies, 47, 101442.

4.        Ali, M. Z., & Chu, H. J* (2023). Converting Seasonal Measurements to Monthly Groundwater Levels through GRACE Data Fusion. Sustainability, 15(10), 8295.

5.        Tatas, Chu, H.J.*, Thomas J Burbey, Cheng-Wei Lin (2023). Mapping regional subsidence rate from electricity consumption-based groundwater extraction. Journal of Hydrology: Regional Studies, 45, 101289.

6.        Muhammad Zeeshan Ali, Chu, H.J.*, Thomas J Burbey (2022). Estimation of annual groundwater changes from InSAR‐derived land subsidence. Water and Environment Journal, 36(4), 622-632.

7.        Tatas, Chu, H. J.*, & Burbey, T. J. (2022). Estimating future (next-month’s) spatial groundwater response from current regional pumping and precipitation rates. Journal of Hydrology, 604, 127160.

8.        Ali, M. Z., Chu, H. J.*, & Burbey, T. J. (2021). Spatio-temporal estimation of monthly groundwater levels from GPS-based land deformation. Environmental Modelling & Software, 143, 105123.

9.        Chu, H. J.*, Ali, M. Z., & Burbey, T. J. (2021). Development of spatially varying groundwater-drawdown functions for land subsidence estimation. Journal of Hydrology: Regional Studies, 35, 100808.

10.   Chu, H. J.*, Ali, M. Z., & Burbey, T. J. (2021). Spatio-temporal data fusion for fine-resolution subsidence estimation. Environmental Modelling & Software, 137, 104975.