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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 ...
Assessing the prospects of remote sensing maize leaf area index using uav-derived multi-spectral data in smallholder farms across the growing season
(MDPI, 2023)
Maize (Zea Mays) is one of the most valuable food crops in sub-Saharan Africa and is a
critical component of local, national and regional economies. Whereas over 50% of maize production
in the region is produced by ...
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 ...
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) ...
Review of the current models and approaches used for maize crop yield forecasting in sub-Saharan Africa, and their potential use in early warning systems
(Physics and Chemistry of the Earth, 2022)
Agriculture is the mainstay of many developing economies, and successful production is intricately linked to food security, economic development, and regional stability. Estimates of crop yield for strategic grain crops, ...
Impacts of eco-environmental quality, spatial configuration, and landscape connectivity of urban vegetation patterns on seasonal land surface temperature in Harare metropolitan city, Zimbabwe
(Taylor and Francis Group, 2022)
The study examined the impact of eco-environmental quality conditions, spatial configurations and landscape connectivity of urban vegetation on seasonal land surface temperature (LST) in Harare, Zimbabwe between May and ...
Mapping rangeland ecosystems vulnerability to Lantana camarainvasion in semi-arid savannahs in South Africa
(Journal of Ecology, 2022)
We mapped and modelled the potential areas vulnerable to Lantana camara (L. camara) invasion in semi-arid savannah ecosystems in the communal lands of Bushbuckridge and Kruger National Park, South Africa. Specifically, we ...
Correction: sibanda et al. application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south. drones 2021, 5, 84
(Drones, 2022)
In the original publication [1], “Fahad Alawadi. Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI)”, “Proc. SPIE 7825, Remote Sensing of the Ocean, Sea Ice, and Large ...