Lesson 1DSM vs DTM production: methods to create bare-earth DTM in partially vegetated, built areas and river channel modelingThis lesson explains DSM/DTM workflows, bare-earth pulls in bushy/urban spots. Apply filters, edits, river models for water-correct terrains in Kenya.
DSM versus DTM definitions and usesGround point filtering in vegetationHandling buildings and urban artifactsManual terrain editing and breaklinesRiver channel and floodplain modelingLesson 2Orthomosaic generation: seamlines, radiometric blending, color balancing, and handling water/reflective surfacesThis lesson covers orthomosaic from DSM/DTM, seams, balancing, color fixes. Handle water, shadows, shines for uniform, true mosaics in Kenyan sites.
Orthorectification using DSM or DTMSeamline placement and editingRadiometric balancing and blendingColor correction and tone mappingHandling water, shadows, and glareLesson 3Bundle adjustment: theory overview, role in defining relative geometry, interpreting residuals and report metricsThis lesson intros bundle adjustment for camera geometry. Grasp equations, limits, read residuals, covariance, reports for stable solutions in Kenya.
Collinearity equations and observation modelWeighted least squares and constraintsRelative orientation and network geometryInterpreting residuals and outliersReading bundle adjustment quality reportsLesson 4Image alignment and keypoint matching: objectives, tie points, and strategies to improve tie qualityThis lesson details alignment, keypoints, features, ties, improvements. Tune settings, fix poor overlap, blur, repeats in Kenyan processing.
Feature detection and descriptor choiceTie point matching and cleaningAlignment settings and accuracy levelsDealing with low overlap or motion blurManaging water, snow, and textureless areasLesson 5Image import, metadata validation, and pre-processing: EXIF checks, lens profile, radiometric correctionsThis lesson handles image import, metadata checks, pre-process. Verify EXIF, lenses, coords, apply fixes, cull for solid Kenyan workflows.
Organizing image datasets and backupsEXIF and GNSS metadata validationLens profile selection and verificationRadiometric and color correctionsImage quality screening and cullingLesson 6Vector extraction and planimetric mapping: breakline creation, building footprint extraction, road centerlines, and hydrographyThis lesson extracts vectors from orthos/elevations. Digitise breaklines, buildings, roads, water, apply topology, checks for Kenyan maps.
Digitizing and snapping best practicesBreakline creation from terrain modelsBuilding footprint and roofline mappingRoad centerlines and pavement edgesHydrography and drainage network tracingLesson 7Camera calibration and interior orientation: self-calibration parameters, when to fix vs estimate focal length and distortionThis lesson covers calibration, orientation, self-params, fix/estimate choices. Understand focal, point, distortions' accuracy impact in Kenya.
Interior orientation and camera modelsRadial and tangential distortion termsSelf-calibration requirements and risksFixing versus estimating focal lengthUsing pre-calibrated metric camerasLesson 8Dense point cloud generation: filtering, noise removal, classifying points (ground, vegetation, buildings)This lesson generates dense clouds from images. Set depth, cut noise, classify ground/objects for clean modeling in Kenyan projects.
Depth map generation parametersPoint density versus processing timeNoise filtering and outlier removalGround and non-ground classificationExport formats and data managementLesson 9Quality checks at each stage: tie point residuals, GCP residuals, RMSE on check points, visual comparison, cross-sections and profile checksThis lesson evaluates QC per stage with metrics, visuals. Read residuals, RMSE, profiles to catch issues, rerun/edit for Kenya.
Tie point residuals and reprojection errorGCP and check point residual analysisRMSE computation and interpretationVisual inspection of orthos and 3D viewCross-sections and elevation profile checksLesson 10Processing strategies for limited budgets: cloud vs local processing, open-source (e.g., OpenDroneMap) vs commercial software trade-offsThis lesson weighs budget processing: hardware, cloud/local, open vs paid. Balance cost, speed, scale, security for Kenyan real jobs.
Estimating compute and storage needsCloud processing costs and constraintsLocal workstation and GPU considerationsOpen-source photogrammetry toolchainsCommercial software features and licensing
