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Geospatial and Machine Learning Framework for Delineating Potential Groundwater-Dependent Vegetation Zones in Kruger National Park, South Africa

https://doi.org/10.2139/ssrn.4816986
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A comparison of machine learning models for the mapping of groundwater spring potential
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Analysis of potentially suitable habitat within migration connections of an intra-African migrant-the Blue Swallow (Hirundo atrocaerulea)
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Spatio–temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments
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Shifting patch dynamics of floodplain woodlands in an arid savanna region: effects of soil form, flooding and large herbivores
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A new method to map groundwater-dependent ecosystem zones in semi-arid environments: A case study in Chile
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162577openalex-extracted
Effects and significance of groundwater for vegetation: A systematic review
inferredcites →https://doi.org/10.1038/nature20584openalex-extracted
High-resolution mapping of global surface water and its long-term changes
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A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
inferredcites →https://doi.org/10.1080/10106049.2021.1948108openalex-extracted
Impacts of groundwater and climate variability on terrestrial groundwater dependent ecosystems: a review of geospatial assessment approaches and challenges and possible future research directions
inferredcites →https://doi.org/10.1080/10106049.2023.2172217openalex-extracted
Identification and delineation of groundwater-dependent ecosystems (GDEs) in the Khakea–Bray transboundary aquifer region using geospatial techniques
inferredcites →https://doi.org/10.1080/15481603.2021.1903281openalex-extracted
Modeling the geographic spread and proliferation of invasive alien plants (IAPs) into new ecosystems using multi-source data and multiple predictive models in the Heuningnes catchment, South Africa
inferredcites →https://doi.org/10.1080/17538947.2023.2176557openalex-extracted
Mapping groundwater dependent ecosystem potential in a semi-arid environment using a remote sensing-based multiple-lines-of-evidence approach
inferredcites →https://doi.org/10.1088/1748-9326/acea97openalex-extracted
Groundwater-dependent ecosystems at risk – global hotspot analysis and implications
inferredcites →https://doi.org/10.1088/1755-1315/546/3/032019openalex-extracted
A Theoretical Review of Vegetation Extraction Methods Based on UAV
inferredcites →https://doi.org/10.1111/gwat.12511openalex-extracted
A Global Synthesis of Managing Groundwater Dependent Ecosystems Under Sustainable Groundwater Policy
inferredcites →https://doi.org/10.2495/wrm150081openalex-extracted
Random forest for identification and characterization of groundwater dependent ecosystems
inferredcites →https://doi.org/10.3390/environments3020009openalex-extracted
Estimating the Probability of Vegetation to Be Groundwater Dependent Based on the Evaluation of Tree Models
inferredcites →https://doi.org/10.3390/ijgi8120562openalex-extracted
Model Ensembles of Artificial Neural Networks and Support Vector Regression for Improved Accuracy in the Prediction of Vegetation Conditions and Droughts in Four Northern Kenya Counties
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Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis
inferredcites →https://doi.org/10.3390/rs14215478openalex-extracted
Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm
inferredcites →https://doi.org/10.3390/rs15164003openalex-extracted
Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm
inferredcites →https://doi.org/10.4102/koedoe.v62i2.1585openalex-extracted
Plant community structure and possible vegetation changes after drought on a granite catena in the Kruger National Park, South Africa
inferredcites →https://doi.org/10.5337/2022.226openalex-extracted
Environmental flows in support of sustainable intensification of agriculture in the Letaba River Basin, South Africa
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