@inproceedings{f6db0cc71af04236b64940a3b9f65031,
title = "Fire hazard modelling in southern Africa",
abstract = "In this study, we analyzed fire occurrences in Southern Africa using point pattern analysis methods. The intensity of events varied vary across the region, events interacted across the region. The intensity plot showed that events are more concentrated at latitude -12.00 and longitude 35.00. Ripley's k-function revealed that events are clustered up to a distance of 14 km. We tested hypothesis that Higher amounts of dry mass productivity (DMP) and the normalized difference vegetation index (NDVI) result in more fire occurrences and more biomass burning, we also hypothesized that dry woodlands in savannah ecosystems result in more fire occurrences as compared to other land cover types in MaxEnt. Results showed DMP, NDVI and land cover types can be used to model Are occurrences with an ACU of 0,760.It also showed that as DMP and NDVI increased fire occurrence probability also increased. More fires are concentrated (0.79) in crop land with woody vegetation and closed grass land cover types. All the countries in Southern Africa have a high fire risky.",
keywords = "DMP, Fire hazard, NDVI, Prediction",
author = "Chingono, {Tatenda T.} and C. Mbohwa",
year = "2015",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "514--519",
editor = "Craig Douglas and Ao, {S. I.} and Jon Burgstone and Jon Burgstone and Craig Douglas and Grundfest, {Warren S.}",
booktitle = "WCECS 2015 - World Congress on Engineering and Computer Science 2015",
note = "2015 World Congress on Engineering and Computer Science, WCECS 2015 ; Conference date: 21-10-2015 Through 23-10-2015",
}
