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Now showing items 11-20 of 24
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 ...
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. ...
Advances in satellite remote sensing of the wetland ecosystems in Sub-Saharan Africa
(Taylor and Francis Group, 2022)
Wetlands are highly productive systems that act as habitats for avariety of fauna andflora. Despite their ecohydrological signifi-cance, wetland ecosystems are severely under threat from globalenvironmental changes as well ...
Advancements in the satellite sensing of the impacts of climate and variability on bush encroachment in savannah rangelands
(Elsevier, 2022)
An increase in shrubs or woody species is likely, directly or indirectly, to significantly affect rural
livelihoods, wildlife/livestock productivity and conservation efforts. Poor and inappropriate land
use management ...
Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: Key scientific strides and challenges
(Taylor and Francis Group, 2022)
The impact of land use land cover (LULC) change and climatevariability on water resources poses as a major threat in semi-aridenvironments, especially in the sub-Saharan Africa. Countries insub-Saharan Africa are vulnerable ...
Progress in the use of geospatial and remote sensing technologies in the assessment and monitoring of tomato crop diseases
(Taylor and Francis Group, 2022)
With a growing global population and accelerating climatechange, systematic assessment and monitoring of crop diseases isurgently required to ensure food security and production.However, current dietary transitions ...
Remotely sensed applications in monitoring the spatio-temporal dynamics of pools and flows along non-perennial rivers: A review
(Taylor and Francis Group, 2022)
Non-perennial rivers (NPRs) account for more than 50% of the world’s river network and their occurrence is expanding. Some rivers that were previously classified as perennial have evolved to be NPRs in response to climate ...