Search
Now showing items 1-7 of 7
Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe
(Bellweather Publishing, 2021)
The spatial configuration of vegetation patches in the landscape has implications for the provision of ecosystem services, human adaptation to climate change, enhancement, or mitigation of urban heat island. Until recently, ...
Pansharpened landsat 8 thermal-infrared data for improved land surface temperature characterization in a heterogeneous urban landscape
(Elsevier, 2022)
Challenges associated with adolescents are prevalent in South African societies. During the adolescence stage, children may become involved in deviant behaviour. Although a significant number of studies have focused on the ...
Spatial clustering of vegetation fire intensity using modis satellite data
(MDPI, 2022)
This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely
sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire occurrence data. In
order to investigate the spatial pattern ...
Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe
(Ecological Informatics, 2022)
We develop and present a novel Bayesian hierarchical geostatistical model for the prediction of plantation forest carbon stock (C stock) in the eastern highlands of Zimbabwe using multispectral Landsat-8 and Sentinel-2 ...
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 ...
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 ...