LiDAR for Precision Agriculture

Dear Colleagues,

LiDAR as an active and accurate remote sensing technique is used in many applications in precision agriculture (PA) to measure the plant structure, e.g. by crop height, density or heterogeneity, ranging from single plant phenotyping to field scale. Likewise, it is used as single ranging measurements on machinery to scanning devices applied as terrestrial (TLS), mobile (MLS) or airborne laser scanning (ALS), where ALS approaches include newer applications from unmanned aerial vehicles (UAVs). Single point measurements, as well as point clouds from scanning devices, can be used by interpolation in 2.5D rasterized approaches or by direct 3D point cloud analysis. Multi-temporal measurements also allow us to derive plant growth or decrease over time (4D). In addition to the structural measurements, single intensity measurements and full-waveform analysis, as well as a combination with further multi- to hyperspectral records (5D to nD) might show an increased accuracy for biomass modeling, plant health detection or as ground-truth data for satellite-based approaches.

This special issue focuses on original and innovative papers that show the use of LiDAR in agriculture from all platforms, including new sensors, algorithms, and combinations with other sensors, as well as in comparison to photogrammetric or other approaches.

Dr. Dirk Hoffmeister
Guest Editor

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