KeywordsAssateague Island; Hurricane Sandy; change detection; Landsat 8; object-based classification; vision-based navigation; infield navigation; steering control; plant camera; SAR; MaxEnt; random forests; estimation error; forest; biomass; carbon; image analysis; stalk thickness; K-means; minimum distance; deep learning; obstacle detection; autonomous; ISO; biophysical variables; orchards; vegetation indices; view angle sensitivity; mangrove; above ground biomass; leaf area index; WorldView-2; partial least squares regression; 3D images; multiple view reconstruction; metric reconstruction; plant reconstruction; machine vision; stereo vision; machine-vision; spectral bands; imaging sensors; optical systems; geometric arrangement; 3D/2D mapping; crop rows detection; weed control; guidance; obstacle detection; soil; structure; mobile phone; visual soil assessment; blossoms; digital image processing; machine vision; peaches; unmanned aerial system; ANN; back propagation neural network (BPNN); image analysis; machine learning; precision horticulture; sustainability
