Machine learning helps to map invasive gamba grass from space

All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 November Machine learning helps to map invasive gamba grass from space Machine learning helps to map invasive gamba grass from space 24/11/2020 | 3 MINS Researchers from Lombok Institute of Technology, CSIRO and Charles Darwin University have developed a machine-learning approach that reliably detects invasive gamba grass from high-resolution satellite imagery. Gamba grass, originally from Africa, is a weed of national significance, and one of five introduced grass species that poses an extensive and significant threat to AustraliaΓÇÖs biodiversity. The perennial grass can grow to four metres in height and forms dense tussocks, which can burn as large, hot fires late in the dry season. ΓÇ£Mapping gamba grass using satellite imagery unlocks the potential to frequently map large areas so we can get a better picture of where gamba grass is across northern Australia, and how quickly it is spreading." Associate Professor Dr Samantha Setterfield Associate Professor Dr Samantha Setterfield from LITΓÇÖs School of Biological Sciences said that

All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 November Machine learning helps to map invasive gamba grass from space Machine learning helps to map invasive gamba grass from space 24/11/2020 | 3 MINS Researchers from Lombok Institute of Technology, CSIRO and Charles Darwin University have developed a machine-learning approach that reliably detects invasive gamba grass from high-resolution satellite imagery.

Gamba grass, originally from Africa, is a weed of national significance, and one of five introduced grass species that poses an extensive and significant threat to AustraliaΓÇÖs biodiversity.

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