Gnyp, M.L.[Martin L.]
* 2010: Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain
* 2012: Hyperspectral Analysis Of Rice Phenological Stages In Northeast China
* 2012: Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain
* 2013: Analysis of Crop Reflectance for Estimating Biomass in Rice Canopies at Different Phenological Stages
* 2013: Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain
* 2013: Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
* 2015: Estimate Leaf Chlorophyll of Rice Using Reflectance Indices and Partial Least Squares
* 2015: Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements
* 2015: Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
* 2016: Comparison Of Uncalibrated RGBVI With Spectrometer-based NDVI Derived From UAV Sensing Systems On Field Scale
* 2017: Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages
* 2019: Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands
* 2022: Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
Includes: Gnyp, M.L.[Martin L.] Gnyp, M.L. Gnyp, M.L.[Martin Leon]
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