Monitoring droughts in Eswatini: A spatiotemporal variability analysis using the Standard Precipitation Index

Autor: Mlenga, Daniel H., Jordaan, Andries J., Mandebvu, Brian

Publikováno v: Jàmbá: Journal of Disaster Risk Studies, Volume: 11, Issue: 1, Pages: 1-9, Published: 2019
Jàmbá : Journal of Disaster Risk Studies, Vol 11, Iss 1, Pp e1-e9 (2019)
Jàmbá : Journal of Disaster Risk Studies
Jàmbá: Journal of Disaster Risk Studies, Volume: 11, Issue: 1, Pages: 1-11, Published: 2019
Jàmbá : Journal of Disaster Risk Studies, Vol 11, Iss 1, Pp e1-e11 (2019)

The spatiotemporal analysis of drought is of great importance to Eswatini as the country has been facing recurring droughts with negative impacts on agriculture, the environment and the economy. In 2016, the country experienced the most severe drough

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1469334e06529d85e45de7d4f9d0d45f
http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S1996-14212019000100055&lng=en&tlng=en

Integrating Standard Precipitation Index and Normalised Difference Vegetation Index for near-real-time drought monitoring in Eswatini.

Autor: Mlenga, Daniel H., Jordaan, Andries J., Mandebvu, Brian

Publikováno v: Jàmbá: Journal of Disaster Risk Studies; 2019, Vol. 11 Issue 1, p1-9, 9p

REMOTE SENSING MONITORING AND ANALYSIS OF AGRICULTURAL DROUGHT IN SPRING CONSIDERING IRRIGATION AREA: A CASE STUDY OF DONGLEI IRRIGATION DISTRICT (PHASE II).

Autor: Liu, H., Song, W., Duan, Y., Sun, T., Li, H., Tian, L., Lu, Y., Liu, Y., Li, M.

Publikováno v: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2020, Vol. 5 Issue 3, p483-488, 6p