Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring in Northeast China

Keyphrases

• Vehicle-based 100%
• UAV 100%
• Ultra-high Resolution 100%
• Northeast China 100%
• Stereo Images 100%
• Crop Surface Model 100%
• Rice Monitoring 100%
• Remote Sensing 40%
• Plant Height 40%
• Wind Speed 40%
• Non-destructive 20%
• High-resolution 20%
• Germany 20%
• Nitrogen Fertilizer 20%
• Barley 20%
• Forestry 20%
• Spatial Data 20%
• Archaeology 20%
• Rice 20%
• Spatio-temporal Data 20%
• Esri 20%
• Precision Agriculture 20%
• Geomorphology 20%
• ArcGIS 20%
• Structure from Motion 20%
• Crop Growth 20%
• Flying Height 20%
• Non-invasive Measurement 20%
• Growth Variation 20%
• Phenological Stages 20%
• Geodata 20%
• Motion-based 20%
• Flight Time 20%
• Maximum Speed 20%
• Crop Condition 20%
• Beaufort Scale 20%
• Terrestrial Laser Scanning 20%
• Unmanned Aerial Vehicle System 20%
• Sanjiang Plain 20%
• Vegetation Period 20%
• Mini Unmanned Aerial Vehicle 20%
• Crop Parameters 20%
• Consumer-grade Camera 20%
• Megapixel 20%
• Flight Plan 20%
• Agisoft PhotoScan 20%
• Ground Control Points 20%
• Cost Weight 20%
• Maintained Systems 20%
• Popular 20%
• Low Weight 20%
• Plant Treatment 20%
• Low-cost Equipment 20%

Earth and Planetary Sciences

• Pilotless Aircraft 100%
• Stereo Image 100%
• China 100%
• Field Experiment 33%
• Wind Velocity 33%
• Remote Sensing 33%
• Cultivar 33%
• Data Acquisition 16%
• Vegetation 16%
• Geomorphological Response 16%
• Precision Agriculture 16%
• Crop Growth 16%
• Flight Time 16%
• Germany 16%
• Flight Plan 16%
• Data Transmission 16%

Agricultural and Biological Sciences

• Unmanned Aerial Vehicle 100%
• Cultivar 33%
• Remote Sensing 33%
• Flight 33%
• Wind Speed 33%
• Equipment 16%
• Forestry 16%
• Precision Agriculture 16%
• Geomorphology 16%
• Data Processing 16%
• Data Collection 16%