2022

2022

  1. Altarez, R.D.D., Apan, A., Maraseni, T. (22 April 2022). Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends. Geocarto International, 37 (26), pp. 11900-11928. https://doi.org/10.1080/10106049.2022.2060330
  2. Bagtasa, G. (15 February 2022). Variability of tropical cyclone rainfall volume in the Philippines. International Journal of Climatology, 42 (11), pp. 6007-6017. https://doi.org/10.1002/joc.7573
  3. Bagtasa, G. (30 August 2022). Assessment of Tropical Cyclone Rainfall from GSMaP and GPM Products and Their Application to Analog Forecasting in the Philippines. Atmosphere, 13 (9), art. no. 1398. https://doi.org/10.3390/atmos13091398
  4. Bhattarai, U., Maraseni, T., Apan, A. (10 August 2022). Assay of renewable energy transition: A systematic literature review. Science of the Total Environment, 833, art. no. 155159. https://doi.org/10.1016/j.scitotenv.2022.155159
  5. Blanco, A. C., Marciano, J., Perez, G., Meneses, S., Aranas, R., Muta, S., Cruz, R. D., & Sabuito, A. (2022). Creating Value from Philippine Space Activities: Mobilizing Space Data. In IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium. https://doi.org/10.1109/igarss46834.2022.9884630
  6. Brotoisworo, P., Aranas, R.K., Felix, M.J. (2022). Automated georeferencing of Diwata-2 multispectral imagery using feature matching. Journal of Physics: Conference Series, 2214 (1), art. no. 012027. https://doi.org/10.1088/1742-6596/2214/1/012027
  7. Canlas, C.P., Sabuito, A.J., Veloria, A., Perez, G.J. (2022). TIME-SERIES ANALYSIS OF AIR QUALITY IN MAJOR CITIES IN THE PHILIPPINES DURING THE COVID-19 PANDEMIC THROUGH SENTINEL-5. 43rd Asian Conference on Remote Sensing, ACRS 2022.
  8. Das, S., Christopher, J., Roy Choudhury, M., Apan, A., Chapman, S., Menzies, N.W., Dang, Y.P. (May 2022). Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques. Biosystems Engineering, 217, pp. 68-82. https://doi.org/10.1016/j.biosystemseng.2022.03.004
  9. Delfino, R.J., Bagtasa, G., Hodges, K., Vidale, P.L. (12 October 2022). Sensitivity of simulating Typhoon Haiyan (2013) using WRF: the role of cumulus convection, surface flux parameterizations, spectral nudging, and initial and boundary conditions. Natural Hazards and Earth System Sciences, 22 (10), pp. 3285-3307. https://doi.org/10.5194/nhess-22-3285-2022
  10. Diocampo, R. T., Bagtasa, G., Pura, A., David, S., Cayanan, E. O., & Sajulga, R. (December 2022). Influence of the Madden-Julian Oscillation on Boreal Winter Monsoon Extreme Precipitation Events in the Bicol Region, Philippines. In AGU Fall Meeting Abstracts (Vol. 2022, pp. A45S-2132).
  11. Felix, M.J., Perez, G.J. (17 May 2022). IMPROVED RRS AND TURBIDITY RETRIEVAL FROM OLI IMAGES IN COMPLEX INLAND WATERS: A CASE STUDY FOR LAGUNA DE BAY. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5 (1), pp. 67-75. https://doi.org/10.5194/isprs-annals-V-1-2022-67-2022
  12. Fiegalan, F.T., Ringor, C.L., Moya, T.B. (March 2022). Modeling the Dynamics of Soil Organic Matter Accumulation from Leaf Litterfall as Affected by Tillage Practices in Mango Orchard. Philippine Agricultural Scientist, 105 (1), pp. 23-34.
  13. Floren, A.S., Alcala, A.C., Cabrera, O.C. (2022). Distribution Patterns of Reef Fish Larvae in the Dipolog Srait, Philippines. Environmental Sciences and Ecology: Current Research (ESECR), 3 (4). https://www.corpuspublishers.com/assets/articles/esecr-v3-22-1059.pdf
  14. Labrador, K., Palermo, J.D., Agmata, A., Ravago-Gotanco, R., Pante, M.J. (24 February 2022). Restriction Site-Associated DNA Sequencing Reveals Local Adaptation Despite High Levels of Gene Flow in Sardinella lemuru (Bleeker, 1853) Along the Northern Coast of Mindanao, Philippines. Frontiers in Marine Science, 9, art. no. 766936. https://doi.org/10.3389/fmars.2022.766936
  15. Mostrales, T.P.I., Rollon, R.N., Licuanan, W.Y. (November 2022). Evaluation of the performance and cost-effectiveness of coral microfragments in covering artificial habitats. Ecological Engineering, 184, art. no. 106770. https://doi.org/10.1016/j.ecoleng.2022.106770
  16. Muhury, N., Apan, A.A., Marasani, T.N., Ayele, G.T. (29 November 2022). Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning. Land, 11 (12), art. no. 2154. https://doi.org/10.3390/land11122154
  17. Murray, X., Apan, A., Deo, R., Maraseni, T. (04 April 2022). Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia. Geocarto International, 37 (26), pp. 11223-11252. https://doi.org/10.1080/10106049.2022.2048902
  18. Ocampo, M.A.B., Chavez, G.C.S., Aguila, C.C.A., Ata, A.T.S., Lacdan, N.F., Vallejo Jr., B.M. (2022). Malacological survey along the intertidal zone of Las Piñas-Paranaque Critical Habitat and Ecotourism Area. Philippine Journal of Health Research and Development, Vol. 26.
  19. Pant, G., Maraseni, T., Apan, A., Allen, B.L. (10 January 2022). Identifying and prioritising climate change adaptation actions for greater one-horned rhinoceros (Rhinoceros unicornis) conservation in Nepal. PeerJ, 10, art. no. e12795. https://doi.org/10.7717/peerj.12795
  20. Perez, G.J., Enricuso, O., Manauis, K., Valete, M.A. (17 May 2022). Characterizing the drought development in the Philippines using multiple drought indices during the 2019 el nino. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5 (3), pp. 463-470. https://doi.org/10.5194/isprs-annals-V-3-2022-463-2022
  21. Racoma, B. A., Holloway, C., Schiemann, R., Feng, X., & Bagtasa, G. (May 2022). The Effect of Topography on Tropical Cyclone Precipitation in the Philippines. In EGU General Assembly Conference Abstracts (pp. EGU22-9043). https://doi.org/10.5194/egusphere-egu22-9043
  22. Racoma, B.A.B., Klingaman, N.P., Holloway, C.E., Schiemann, R.K.H., Bagtasa, G. (May 2022). Tropical cyclone characteristics associated with extreme precipitation in the northern Philippines. International Journal of Climatology, 42 (6), pp. 3290-3307. https://doi.org/10.1002/joc.7416
  23. Roy Choudhury, M., Christopher, J., Das, S., Apan, A., Menzies, N.W., Chapman, S., Mellor, V., Dang, Y.P. (August 2022). Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters. Environmental Technology and Innovation, 27, art. no. 102469. https://doi.org/10.1016/j.eti.2022.102469
  24. Sangalang, S.O., Prado, N.O., Lemence, A.L.G., Cayetano, M.G., Lu, J.L.D.P., Valencia, J.C., Kistemann, T., Borgemeister, C. (12 May 2022). Diarrhoea, malnutrition, and dehydration associated with school water, sanitation, and hygiene in Metro Manila, Philippines: A cross-sectional study. Science of the Total Environment, 838, art. no. 155882. https://doi.org/10.1016/j.scitotenv.2022.155882
  25. Tolentino, M.N., Cabrera, O. (December 2022). Relating frontal features and fishing activity in the Bohol Sea using multi-sensor chlorophyll-a and VIIRS night light data. AGU Fall Meeting Abstracts, pages OS12B-0738
  26. Valete, M.A., Ang, P.D., Veloria, A., Perez, G.J. (2022). ASSESSMENT OF COMBINED DROUGHT INDEX (CDI) FOR DROUGHT MONITORING IN THE PHILIPPINES DURING THE 2018-2019 EL NIÑO. 43rd Asian Conference on Remote Sensing, ACRS 2022.
  27. Vallejo, B. and Ong, R. Angelo and Rye, Ranjit Singh (2022). An Empirical Assessment of the Philippines Government Response to the COVID-19 Pandemic. Available at SSRN: https://ssrn.com/abstract=4170547 or http://dx.doi.org/10.2139/ssrn.4170547
  28. Vallejo, B.M. and Ong, R.A.C. (2022). OCTA as an independent science advice provider for COVID-19 in the Philippines. Humanities and social sciences communications, 9 (1), Article number 104. https://www.nature.com/articles/s41599-022-01112-9
  29. Yoshikai, M., Nakamura, T., Suwa, R., Sharma, S., Rollon, R., Yasuoka, J., Egawa, R., Nadaoka, K. (31 March 2022). Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics. Biogeosciences, 19 (6), pp. 1813-1832. https://doi.org/10.5194/bg-19-1813-2022