作者: Na’eem Agjee , Onisimo Mutanga , Riyad Ismail
DOI: 10.4314/SAJG.V4I4.8
关键词:
摘要: Aquatic Invasive Alien Plant (AIAP) species are a major threat to freshwater ecosystems, placing great strain on South Africa’s limited water resources. Bio-control programmes have been initiated in an effort mitigate the negative environmental impacts associated with their presence non-native areas. Remote sensing can be used as effective tool detect, map and monitor bio-control damage AIAP species. This paper reconciles previous current research concerning application of remote detect Initially, spectral characteristics are described. Thereafter, potential chlorophyll content fluorescence as pre-visual indicators reviewed synthesised. The utility multispectral and hyperspectral sensors for mapping different severities also discussed. Popular machine learning algorithms that offer operational classify proposed. paper concludes challenges well proposes recommendations guide future successfully AIAP