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Identification and delineation of groundwater-dependent ecosystems (GDEs) in the Khakea–Bray transboundaryaquifer region using geospatial techniques
(Taylor and Francis Group, 2023)
Identifying and delineating groundwater-dependent ecosystems(GDEs) is critical in understanding their location, distribution andgroundwater allocation. However, this information is inadequatelyunderstood due to limited ...
Inter-Seasonal Estimation of Grass Water Content Indicators Using Multisource Remotely Sensed Data Metrics and the Cloud-Computing Google Earth Engine Platform
(MDPI, 2023)
Indicators of grass water content (GWC) have a significant impact on eco-hydrological
processes such as evapotranspiration and rainfall interception. Several site-specific factors such as
seasonal precipitation, temperature, ...
Progress in the remote sensing of groundwater-dependent ecosystems in semi-arid environments
(Elsevier, 2021)
Remote sensing of groundwater-dependent ecosystems (GDEs) has increased substantially in recent years. Of
significant prominence, is the delineation and mapping of groundwater-dependent vegetation (GDV), species
diversity, ...
Carbon stock prediction in managed forest ecosystems using Bayesian and frequentist geostatistical techniques and new generation remote sensing metrics
(MDPI, 2023)
The study compares the performance of a hierarchical Bayesian geostatistical methodology
with a frequentist geostatistical approach, specifically, Kriging with External Drift (KED), for
predicting C stock using prediction ...
Progress in the remote sensing of veld fire occurrence and detection: A review
(Wiley, 2023)
Our research provides a detailed overview of the progress in remotely sensed fire
monitoring techniques, which have been developed and employed for fire occurrence
and detection. Our overview is provided from a literature ...
Remote Sensing Grassland Productivity Attributes: A Systematic Review
(MDPI, 2023)
A third of the land on the Earth is composed of grasslands, mainly used for forage. Much effort is being conducted to develop tools to estimate grassland productivity (GP) at different extents, concentrating on spatial and ...
Landsat-8 and sentinel-2 based prediction of forest plantation c stock using spatially varying coefficient Bayesian hierarchical models
(MDPI, 2022)
This study sought to establish the performance of Spatially Varying Coefficient (SVC)
Bayesian Hierarchical models using Landsat-8, and Sentinel-2 derived auxiliary information in
predicting plantation forest carbon (C) ...
Progress in remote sensing of grass senescence: A review on the challenges and opportunities
(Institute of Electrical and Electronics Engineers, 2021)
Grass senescence estimation in rangeland is particularly
important for monitoring the conditions of forage quality
and quantity. During senescence, grasses lose their nutrients from
the leaves to the root and thereby ...
Impacts of groundwater and climate variability on terrestrial groundwater dependent ecosystems: A review of geospatial assessment approaches and challenges and possible future research directions
(Taylor and Francis Group, 2022)
Terrestrial groundwater dependent vegetation (TGDV) are crucialecosystems which provide important goods and services such ascarbon sequestration, habitat, water purification and aestheticbenefits in semi-arid environments. ...
Landsat-8 and sentinel-2 based prediction of forest plantation c stock using spatially varying coefficient bayesian hierarchical models
(Remote Sensing, 2022)
This study sought to establish the performance of Spatially Varying Coefficient (SVC) Bayesian Hierarchical models using Landsat-8, and Sentinel-2 derived auxiliary information in predicting plantation forest carbon (C) ...