0000000000275908

AUTHOR

Nima Ahmadian

showing 1 related works from this author

Biomass Assessment of Agricultural Crops Using Multi-temporal Dual-Polarimetric TerraSAR-X Data

2019

The biomass of three agricultural crops, winter wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), and canola (Brassica napus L.), was studied using multi-temporal dual-polarimetric TerraSAR-X data. The radar backscattering coefficient sigma nought of the two polarization channels HH and VV was extracted from the satellite images. Subsequently, combinations of HH and VV polarizations were calculated (e.g. HH/VV, HH + VV, HH × VV) to establish relationships between SAR data and the fresh and dry biomass of each crop type using multiple stepwise regression. Additionally, the semi-empirical water cloud model (WCM) was used to account for the effect of crop biomass on radar backscatter …

food.ingredient010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentPolarimetrySoil scienceTerraSAR-X · Agricultural crop · Biomass · Stepwise regression · Water cloud model (WCM) · Random Forest · DEMMIN01 natural scienceslaw.inventionCropfoodlawEarth and Planetary Sciences (miscellaneous)RadarCanolaInstrumentationWater content0105 earth and related environmental sciences2. Zero hunger04 agricultural and veterinary sciences15. Life on landStepwise regressionRandom forest040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceHordeum vulgarePFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
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