Open Access
Issue |
BIO Web Conf.
Volume 131, 2024
6th International Conference on Tropical Resources and Sustainable Sciences (CTReSS 6.0)
|
|
---|---|---|
Article Number | 05009 | |
Number of page(s) | 10 | |
Section | Environmental Sustainability, Analytics and Technology | |
DOI | https://doi.org/10.1051/bioconf/202413105009 | |
Published online | 15 October 2024 |
- Maarel, Eddy & Franklin, Janet & Peet, Robert & Roberts, David & Austin, Mike & Pickett, S.T.A. & Cadenasses, Mary & Meiners, Scott & Svensson, Brita & Rydin, Håkan & Carlsson, Bengt & Poschlod, Peter & Andel, Jelte & Sankaran, Mahesh & Mcnaughton, Samuel & Kuyper, Thomas & R. G. M., Goede & Leuschner, Christoph & Leps, Jan & Baxter, Robert. (2014). Vegetation Ecology, 2nd. ed. [Google Scholar]
- Mahmood, M. A., & Al-Rawe, M. K. (2023). Spatial analysis of vegetation using GIS and remote sensing data. IOP Conference Series: Earth and Environmental Science, 1129(1), 012001. [CrossRef] [Google Scholar]
- Hao, P. (2019). Spatial Analysis. The Wiley Blackwell Encyclopedia of Urban and Regional Studies, 1– 7. [Google Scholar]
- Fotheringham, A. S., Brunsdon, C., Charlton, M (2000). Geographically weighted regression: the analysis of spatially varying relationships. [Google Scholar]
- Xue, J., & Su, B. (2017). Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications. Journal of Sensors, 2017, 1–17. [CrossRef] [Google Scholar]
- James, J., Daliman, S., Rendra, P. P. R., Sukiyah, E., Hadian, M. S. D., & Sulaksana, N. (2023). Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Oil Palm Plantation Distribution in Kelantan: A Case Study. BIO Web of Conferences, 73, 05009. [CrossRef] [EDP Sciences] [Google Scholar]
- Gupta, R. P. (2017). Introduction. Remote Sensing Geology, 1–11. [Google Scholar]
- Kolarik, N. E., Gaughan, A. E., Stevens, F. R., Pricope, N. G., Woodward, K., Cassidy, L., Salerno, J., & Hartter, J. (2020). A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment. ISPRS Journal of Photogrammetry and Remote Sensing, 164, 84–96. [CrossRef] [Google Scholar]
- Montana. L, (2008) Geographic Information Systems, International Encyclopedia of Public Health, 56- 59. [Google Scholar]
- Afar, J. N., Goay, Y. X., Zaidi, N. F. M., Low, H.C., Hussin, H. M., Hamzah, W. M., Bhore, S. J., Balaram, P., Ismail, A., & Phua, K. K. (2013). Epidemiological analysis of typhoid fever in Kelantan from a retrieved registry. Malaysian Journal of Microbiology. [Google Scholar]
- Madzlan. N, Noorfakhriah. Y, (2015) Assessment on Reliability of Public Bus Service in Kota Bharu. [Google Scholar]
- Suharini, E., Ariyadi, M. H., & Kurniawan, E. (2020). Google Earth Pro as a Learning Media for Mitigation and Adaptation of Landslide Disaster. International Journal of Information and Education Technology, 10(11), 820–815. [CrossRef] [Google Scholar]
- Suyarso, S., Setiawati, M. D., Supriyadi, I. H., & Prayudha, B. (2023). Climate change indicator, impact, adaptation, and innovation at the local level: learn from the peoples’ experience of the coastal plain of Probolinggo, East Java, Indonesia. In Elsevier eBooks (pp. 93–118). [Google Scholar]
- Melati, D. N. (2012). Spatio-Temporal data modeling in response to deforestation monitoring (a case study of small region in Riau Province, Indonesia). [Google Scholar]
- James, J., Daliman, S., Rendra, P. P. R., Sukiyah, E., Hadian, M. S. D., & Sulaksana, N. (2023). Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Oil Palm Plantation Distribution in Kelantan: A Case Study. BIO Web of Conferences, 73, 05009. [CrossRef] [EDP Sciences] [Google Scholar]
- Yu, C. H. (2005). Test–Retest Reliability. In Elsevier eBooks (pp. 777–784). [Google Scholar]
- Gwihwan Moon (2024). Optimizing Vegetation Index Calculations: The GNDVI Approach. [Google Scholar]
- Congalton, R. G. (2001). Accuracy assessment and validation of remotely sensed and other spatial information. International Journal of Wildland Fire, 10(4), 321. [CrossRef] [Google Scholar]
- Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185-201. [CrossRef] [Google Scholar]
- Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1), 35-46. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.