Mapping groundwater dependent ecosystem potential in a semi-arid environment using aremote sensing-based multiple-lines-of-evidence approach  

作　　者：Stephen G.Fildes Tanya M.Doody David Bruce Ian F.Clark Okke Batelaan 

机构地区：[1]UniSA STEM,University of South Australia,Adelaide,Australia [2]CSIRO,Land and Water,Adelaide,Australia [3]National Centre for Groundwater Research and Training(NCGRT),College of Science and Engineering,Flinders University,Bedford Park,Australia

出　　处：《International Journal of Digital Earth》2023年第1期375-406,共32页国际数字地球学报（英文）

摘　　要：Groundwater dependent ecosystems(GDEs)are vulnerable to groundwater regime changes.However,their protection is often hampered by challenges in their identification.Within is presented a remote sensing-based GDE potential mapping approach based on the persistency of relevant vegetation parameters during prolonged dry periods as an indicator of potential‘consistency’of water supply(e.g.groundwater).The study uses a novel approach to characterising persistency for selected vegetation parameters based on a normalised difference measure and an adaptation of the coefficient of variation statistic.Aggregation of parameters was facilitated through the analytic hierarchy process providing a structured weighting approach to minimise parameter bias.The approach is demonstrated in the semi-arid Flinders Ranges of South Australia where new groundwater resources are being sought to support local domestic and industry needs.Variations in GDE potential were mapped to better target areas where exploration of groundwater should be avoided.Mapping results indicated a high-level of agreement of 77%with an independent springs dataset,along with an 87%agreement with areas coinciding with known phreatophyte species and depths to groundwater.The index-based mapping approach has potential applicability across landscapes,as it normalises for variations in vegetation cover,minimises technical overheads,and employs continental-wide remote sensing data-products.

关 键 词：coefficient of variation NDVI coefficient of variation fractional cover barest Earth wetness percentiles actual evapotranspiration analytic hierarchy process groundwater potential 

分 类 号：P64[天文地球—地质矿产勘探]