EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 682 (2025) E3S Web Conf., 682 (2025) 01027 References
Open Access
Issue
E3S Web Conf.
Volume 682, 2025
11th-ICCC 2025 – 11th International Conference on Climate Change
Article Number 01027
Number of page(s) 15
Section Smart-Farming and Resilient Food Systems
DOI https://doi.org/10.1051/e3sconf/202568201027
Published online 23 December 2025
  1. H. M. Suud and D. E. Kusbianto, Exploring El Nino effects on agricultural area using Landsat images analysis: A case study in Bondowoso Regency, Indonesia. SAINS TANAH - Journal of Soil Science and Agroclimatology. 21, 2 (2024). https://doi.org/10.20961/stjssa.v21i2.85190 [Google Scholar]
  2. S. N. Aripbilah and H. Suprapto, Analisis Kekeringan Di Kabupaten Sragen Dengan Metode Palmer, Thornthwaite, Dan Standardized Precipitation Index. Jurnal Sumber Daya Air. 17, 2 (2021). https://doi.org/10.32679/jsda.v17i2.742 [Google Scholar]
  3. A. Herawati, M. Mujiyo, B. D. E. P. Nugroho, N. M. Istiqomah, V. Irmawati, K. Hasanah, T. Hardian, and A. Anggita, Drought potential index using Normalized Difference Drought Index (NDDI) method based on Geographical Information System (GIS) in Slogohimo, Wonogiri Indonesia. IOP Conference Series: Earth and Environmental Science. 1314, 1 (2024). https://doi.org/10.1088/1755-1315/1314/1/012040 [Google Scholar]
  4. M. Mujiyo and R. Nurdianti, Agricultural Land Dryness Distribution Using the Normalized Difference Drought Index ( NDDI ) Algorithm on Landsat 8 Imagery in Eromoko , Indonesia. Environment and Natural Resources Journal. 21, 2 (2023). https://doi.org/10.32526/ennrj/21/202200157 [Google Scholar]
  5. B. Minasny and A. Mcbratney, Limited effect of organic matter on soil available water capacity. European Journal of Soil Science. 69, 1 (2017). https://doi.org/10.1111/ejss.12475 [Google Scholar]
  6. E. Davoodi, M. Soleimani-motlagh, and R. Chamanpira, Prediction of temporal and spatial variations of the NDDI drought index in the Khorramabad watershed using remote sensing. 2, 2025 (2026). https://doi.org/10.22069/IJERR.2025.23327.1487 [Google Scholar]
  7. A. Ashok, H. P. Rani, and K. V Jayakumar, Monitoring of dynamic wetland changes using NDVI and NDWI based landsat imagery. Remote Sensing Applications: Society and Environment. 23, (2021). https://doi.org/10.1016/j.rsase.2021.100547 [Google Scholar]
  8. F. Salas-martínez, O. A. Valdés-rodríguez, O. M. Palacios-wassenaar, A. Márquez-grajales, and L. D. Rodríguez-hernández, Methodological estimation to quantify drought intensity based on the NDDI index with Landsat 8 multispectral images in the central zone of the Gulf of Mexico. May (2023). https://doi.org/10.3389/feart.2023.1027483 [Google Scholar]
  9. G. B. Pamungkas, Analisis Kekeringan Berbasis Remote Sensing dengan Metode Normalized Difference Drought Index (NDDI) secara Multi-Years. 2, 2 (2023) [Google Scholar]
  10. S. Sumarwati, Traditional ecological knowledge on the slope of Mount Lawu, Indonesia: all about non-rice food security. Journal of Ethnic Foods. 9, 1 (2022). https://doi.org/10.1186/s42779-022-00120-z [Google Scholar]
  11. X. Pons, L. Pesquer, J. Cristóbal, and O. González-Guerrero, Automatic and improved radiometric correction of landsat imageryusing reference values from MODIS surface reflectance images. International Journal of Applied Earth Observation and Geoinformation. 33, 1 (2014). https://doi.org/10.1016/j.jag.2014.06.002 [Google Scholar]
  12. Y. Gu, J. F. Brown, J. P. Verdin, and B. Wardlow, A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States. Geophysical Research Letters. 34, 6 (2007). https://doi.org/10.1029/2006GL029127 [Google Scholar]
  13. M. I. Pramestika, Y. R. Aisy, Y. S. D. Pamungkas, N. A. A. Zahra, M. A. H. P. Perdana, N. L. E. Utami, Y. Khoirurrizqi, and W. Widyatmanti, Exploring Spatial and Temporal Variations of Agricultural Drought in Roraya Watershed Using Normalized Difference Drought Index (NDDI). Jurnal Geografi. 22, 2 (2024) [Google Scholar]
  14. C. Jiang, C. Ma, S. Duan, X. Min, Y. Z. Zhang, D. Li, and X. Zhang, Monitoring of Agricultural Drought Based on Multi-Source Remote Sensing Data in Heilongjiang Province, China Chenfa. Journal of Integrative Agriculture Monitoring. (2025) [Google Scholar]
  15. A. Handayani and H. Setiadi, Distribution of Drought on Agricultural Land in Palabuhanratu District Sukabumi Regency. Jurnal Geografi : Media Informasi Pengembangan Dan Profesi Kegeografian. 20, 1 (2023). https://doi.org/10.15294/jg.v20i1.41285 [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.