Loading…
US-IALE 2018 has ended
Back To Schedule
Wednesday, April 11 • 3:45pm - 4:00pm
REMOTE SENSING/IMAGE ANALYSIS: Characterizing Fire Patterns in Chyulu Hills, Kenya Using MODIS Active Fire and Burned Area Products

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

AUTHORS: Mary C. Henry, Jessica McCarty, John Maingi – Department of Geography, Miami University

ABSTRACT: Chyulu Hills in southeastern Kenya is a volcanic range that is shorter in stature (2188 m at highest peak) than other mountains in the region, but is nonetheless an important water source - including for Mzima Springs which is the freshwater supply for the coastal region of Kenya. Fire is prevalent in Chyulu Hills from May through October following the “long rains” and affects vegetation cover, runoff, and groundwater recharge. Monitoring fires in Chyulu Hills is also critical in this fire-maintained ecosystem for wildlife conservation and pastoralism. In this study, we use MODIS active fire detection data (MCD14ML product) and MODIS burned area data (MCD64 product) to identify locations and characteristics of fires (timing, vegetation zone) in Chyulu Hills from 2003 to 2017. Earlier work found MODIS fire data products captured more burned areas on Mount Kenya (250 km to the north) than annual Landsat data (which only detected more recent fires). The goal of this study is to 1) determine if these MODIS fire products are also well suited to fire monitoring in Chyulu Hills’ grassland dominated landscape and 2) characterize fire regimes within this part of the Tsavo Conservation Area.

Wednesday April 11, 2018 3:45pm - 4:00pm CDT
Water Tower Parlor