41 results on '"Lottering, Romano"'
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2. Remote sensing of depth-induced variations in soil organic carbon stocks distribution within different vegetated landscapes
3. A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality
4. The use of synthetic aperture radar technology for crop biomass monitoring: A systematic review
5. Simulating future land-use within the uThukela and uMngeni catchments in KwaZulu-Natal
6. Impact of urban and peri-urban growth on arable land (1976–2029) in a medium sized city of Shire Indaselassie, North Western Tigray, Ethiopia
7. Localizing the analysis of drought impacts on KwaZulu-Natal's commercial forests
8. Mapping carbon content in a mountainous grassland using SPOT 5 multispectral imagery and semi-automated machine learning ensemble methods
9. Remote sensing of invasive alien wattle using image texture ratios in the low-lying Midlands of KwaZulu-Natal, South Africa
10. Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery.
11. Estimating leaf area index of Eucalyptus dunnii over the dry and wet seasons using vegetation indices and image texture derived from WorldView-3 imagery.
12. Detecting and mapping invasive Parthenium hysterophorus L. along the northern coastal belt of KwaZulu-Natal, South Africa using image texture
13. Discriminating commercial forest species using image texture computed from a WorldView-2 pan-sharpened image and partial least squares discriminant analysis
14. Assessing the extent of land degradation in the eThekwini municipality using land cover change and soil organic carbon.
15. Comparing the Utility of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) on Sentinel-2 MSI to Estimate Dry Season Aboveground Grass Biomass.
16. Comparing partial least squares (PLS) discriminant analysis and sparse PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture
17. Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery
18. A systematic review of remote sensing and machine learning approaches for accurate carbon storage estimation in natural forests.
19. A tree-level analysis of baboon damage in commercial forest stands using deep learning techniques.
20. Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing
21. Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests
22. Optimising the spatial resolution of WorldView-2 pan-sharpened imagery for predicting levels of Gonipterus scutellatus defoliation in KwaZulu-Natal, South Africa
23. Forest, Crop and Grassland Leaf Area Index Estimation Using Remote Sensing: A Review of Current Research Methods, Sensors, Estimation Models and Accomplishments.
24. Utility of texture combinations computed from fused WorldView-2 imagery in discriminating commercial forest species.
25. Sub-Saharan Africa Freshwater Fisheries under Climate Change: A Review of Impacts, Adaptation, and Mitigation Measures.
26. Detecting and mapping drought severity using multi-temporal Landsat data in the uMsinga region of KwaZulu-Natal, South Africa.
27. Remote sensing wattle rust induced defoliation across black wattle timber plantations in Southern Africa.
28. Climate Change Perceptions, Impacts and Adaptation Strategies: Insights of Fishers in Zambezi River Basin, Zimbabwe.
29. Climate Change and Variability Impacts on Sub-Saharan African Fisheries: A Review.
30. Drought and its impacts on small-scale farmers in sub-Saharan Africa: a review.
31. Improving the unsupervised mapping of riparian bugweed in commercial forest plantations using hyperspectral data and LiDAR.
32. The Impacts of Drought and the Adaptive Strategies of Small-Scale Farmers in uMsinga, KwaZulu-Natal, South Africa.
33. Spatially optimizing vegetation indices integrated with sparse partial least squares regression to detect and map the effects of Gonipterus scutellatus on the chlorophyll content of eucalyptus plantations.
34. Detecting and mapping Gonipterus scutellatus induced vegetation defoliation using WorldView-2 pan-sharpened image texture combinations and an artificial neural network.
35. Detecting and mapping levels of Gonipterus scutellatus -induced vegetation defoliation and leaf area index using spatially optimized vegetation indices.
36. Detection and mapping of bracken fern weeds using multispectral remotely sensed data: a review of progress and challenges.
37. Optimizing the spatial resolution of WorldView-2 imagery for discriminating forest vegetation at subspecies level in KwaZulu-Natal, South Africa.
38. Unlocking the Potential of Fish to Improve Food and Nutrition Security in Sub-Saharan Africa.
39. Estimating the road edge effect on adjacent Eucalyptus grandis forests in KwaZulu-Natal, South Africa, using texture measures and an artificial neural network.
40. Assessing above-ground biomass in reforested urban landscapes using machine learning and remotely sensed data.
41. Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa.
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