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Image Search Results
Journal: Scientific Reports
Article Title: New land tenure fences are still cropping up in the Greater Mara
doi: 10.1038/s41598-022-15132-7
Figure Lengend Snippet: Pardamat fences collected between late September 2019 and September 2021 using GPS ground-truthing. Enclosed areas were calculated by converting recorded fencelines to polygons within Esri ArcGIS Pro vs. 2.9 software allowing for smaller than 2 m gaps. Green lines represent fences that were removed by landowners during the reported period.
Article Snippet: Fences were mapped using
Techniques: Software
Journal: Scientific Reports
Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth
doi: 10.1038/s41598-021-00936-w
Figure Lengend Snippet: Flowchart of the process for aerial estimation of leaf area index (LAI) and lateral growth (LG). A RGB sensor is used to collect aerial images based on a flight plan. The aerial mages are used to recreate the whole experimental plot orthomosaic * . Rectangular shapes are created over peanut rows in a fishnet * layer. The fishnet is used to extract reflectance from each of the reg, green, and blue band. The reflectance are used to derive vegetation indices (VIs). The VIs are subjected to multiple linear regression and artificial neural network regression as predictors for LAI and LG. The different models derived in the process are Reg-1, Reg-2, ANN-1, and ANN-2 for LAI estimation; and Reg-3, Reg-4, ANN-3, and ANN-4 for LG estimation. *Orthomosaic was done using Pix4Dmapper Version 4.2.26 software (Prilly, Switzerland) and Fishnet was created using ArcMap (version 10.6) tool of the ArcGIS (ESRI, Redlands, CA).
Article Snippet: * Orthomosaic was done using Pix4Dmapper Version 4.2.26 software (Prilly, Switzerland) and Fishnet was created using
Techniques: Derivative Assay, Software
Journal: Scientific Reports
Article Title: Aerial high-throughput phenotyping of peanut leaf area index and lateral growth
doi: 10.1038/s41598-021-00936-w
Figure Lengend Snippet: Red–green–blue (RGB) orthomosaic of the 2019 peanut study plot with ground control points (GCPs) (the black and white checkered objects; 4 at the corners and one in the center). The orthomosaic * includes the fishnet * layer (yellow bordered polygons) as well. The panel on the left bottom with various shades from white to black is the reflectance calibration panel. Each individual peanut row is 1.83 m in length and two rows are 0.91 m apart (center to center). * Orthomosaic was done using Pix4Dmapper Version 4.2.26 software (Prilly, Switzerland) and Fishnet was created using ArcMap (version 10.6) tool of the ArcGIS (ESRI, Redlands, CA).
Article Snippet: * Orthomosaic was done using Pix4Dmapper Version 4.2.26 software (Prilly, Switzerland) and Fishnet was created using
Techniques: Control, Software