Browsing by Author "Moncrieff, Glenn"

Now showing 1 - 5 of 5
  • No Thumbnail Available
    Item
    Drowning in data, thirsty for information and starved for understanding: A biodiversity information hub for cooperative environmental monitoring in South Africa
    (2022-09-11) MacFadyen, Sandra; Allsopp, Nicky; Altwegg, Res; Archibald, Sally; Botha, Judith; Bradshaw, Karen; Carruthers, Jane; De Klerk, Helen; de Vos, Alta; Distiller, Greg; Foord, Stefan; Freitag-Ronaldson, Stefanie; Gibbs, Richard; Hamer, Michelle; Landi, Pietro; MacFadyen, Duncan; Midgley, Guy; Moncrieff, Glenn; Munch, Zahn; Mutanga, Onisimo; Sershen; Nenguda, Rendani; Ngwenya, Mzabalazo; Parker, Daniel; Peel, Mike; Power, John; Pretorius, Joachim; Ramdhani, Syd; Robertson, Mark; Rushworth, Ian; Slingsby, Jasper; Turner, Andrew; Visser, Vernon; Van Wageningen, Gerhard; Hui, Cang
  • No Thumbnail Available
    Item
    Exploring functional vegetation groups for the National Vegetation Map
    (South African National Biodiversity Institute (SANBI), 2019-06) Desmet, Phillip; Todd, Simon; Geldenhys, Coert; Lotter, Mervyn; Hoare, David; Grobler, Adriaan; Slingsby, Jasper; Moncrieff, Glenn; Forsythe, Katherine
  • No Thumbnail Available
    Item
    A near real-time satellite tool for monitoring and mapping ecological impacts in Fynbos
    (2018-06-22) Slingsby, Jasper; Moncrieff, Glenn; Wilson, Adam
    Satellite remote-sensing time-series are increasingly being used to examine the state and evolution of vegetation in novel ways. These approaches are considered the ‘Holy Grail’ for monitoring biodiversity and global change impacts at spatial extents and scales relevant for management purposes. In South Africa, they could contribute to environmental management through providing regularly updated information on ecosystem condition and land cover transformation; monitoring compliance with environmental legislation or environmental impact assessment recommendations; providing tools and alerts to aid land managers; and collecting data to aid global change research. We present an innovative approach to monitor and predict natural land surface processes and evaluate nearreal time changes in fynbos ecosystems. The approach includes statistical models relating time-series of satellite-derived vegetation indices, climate data and fire history to predict vegetation signal and identify deviations from natural variation. The tool is easily applied to other fire-prone ecosystems such as the Mediterranean Basin, California or South Western Australia, or could be adapted to any ecosystem by substituting the time-series model with one that adequately describes temporal fluctuations in vegetation activity for that ecosystem.
  • No Thumbnail Available
    Item
    A near-real time satellite tool for monitoring and mapping ecological impacts in Fynbos
    (Mariel Bessinger, 2018-06-19) Slingsby, Jasper; Wilson, Adam; Moncrieff, Glenn
  • No Thumbnail Available
    Item
    The potential of remote sensing tools for ecological condition assessment and monitoring
    (SANBI, 2016-06-09) Slingsby, Jasper; Moncrieff, Glenn; Ntshanga, Nasiphi; Potts, Alastair; Wilson, Adam