🛰 Satellite(s)e.g., MODIS, Sentinel-2. | 📊 Monitoring elementLand spectral reflectance. | ||||
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🧰 Description techniqueWesterhoff et al. (2018) used a nationwide model of groundwater recharge for New Zealand (NGRM; | 📏 Accuracy / ResolutionNGRM uncertainty of 17%. | ||||
🗺 Case studyNew Zealand (Canterbury Plains and Mid-Mataura Catchment in Southland). | |||||
🧩 Also fits domainLand. | |||||
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Publication references📚 Westerhoff R, White P, Rawlinson Z. 2018. Incorporation of Satellite Data and Uncertainty in a Nationwide Groundwater Recharge Model in New Zealand. Remote Sensing. 10(1):58. | |||||
Other comments or information | |||||
Other references📚 Westerhoff R, White P, Rawlinson Z. 2016. Application of global models and satellite data for smaller-scale groundwater recharge studies. Hydrol Earth Syst Sci Discuss. 2016:1-36. doi:10.5194/hess-2016-410. 🔗 https://www.hydrol-earth-syst-sci-discuss.net/hess-2016-410/ 📚 Mourot F, Westerhoff R, Macdonald N, Cameron S. 2019. Better spatial characterisation of evapotranspiration and rainfall recharge estimates to groundwater using remote sensing multispectral techniques at lysimeter sites. Lower Hutt (NZ). 82 p. 📚 Swaffer BA, Habner NL, Holland KL, Crosbie RS. 2020. Applying satellite-derived evapotranspiration rates to estimate the impact of vegetation on regional groundwater flux. Ecohydrology. 13(1):e2172. doi:10.1002/eco.2172. 📚 Ruggieri G, Allocca V, Borfecchia F, Cusano D, Marsiglia P, De Vita P. 2021. Testing Evapotranspiration Estimates Based on MODIS Satellite Data in the Assessment of the Groundwater Recharge of Karst Aquifers in Southern Italy. Water. 13(2):118. |
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