Continuous land cover change detection in a critically endangered shrubland ecosystem using neural networks

HIGHLIGHTS

• who: Glenn R. Moncrieff from the Centre for Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Private Bag, Cape Town, South Africa have published the paper: Continuous Land Cover Change Detection in a Critically Endangered Shrubland Ecosystem Using Neural Networks, in the Journal: (JOURNAL) of 28/04/2022
• what: This study shows that reliable detection of land cover change in shrublands is possible, and that detection is possible within days of land cover change events, thus facilitating the use of these algorithms for operational monitoring and enforcement. A major . . .
  

   

  

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