From post

Comparing the Effect of Preprocessing Transformations on Methods of Land-Use Classification Derived From Spectral Soil Measurements.

, , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (6): 2393-2404 (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

A Hyperspectral-Physiological Phenomics System: Measuring Diurnal Transpiration Rates and Diurnal Reflectance., , , , , и . Remote. Sens., 12 (9): 1493 (2020)Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring., , , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2021)Pepper Plants Leaf Spectral Reflectance Changes as a Result of Root Rot Damage., , , , , и . Remote. Sens., 13 (5): 980 (2021)Comparing the Effect of Preprocessing Transformations on Methods of Land-Use Classification Derived From Spectral Soil Measurements., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (6): 2393-2404 (2015)Linking Spaceborne and Ground Observations of Autumn Foliage Senescence in Southern Québec, Canada., и . Remote. Sens., 9 (6): 630 (2017)Correction: Rozenstein, O., et al. Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm. Sensors 2014, 14, 5768-5780., , , и . Sensors, 14 (6): 11277 (2014)In-Field Absolute Calibration of Ground and Airborne VIS-NIR-SWIR Hyperspectral Point Spectrometers., , и . Remote Sensing, 6 (2): 1158-1170 (2014)Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm., , , и . Sensors, 14 (4): 5768-5780 (2014)A review of progress in identifying and characterizing biocrusts using proximal and remote sensing., и . Int. J. Appl. Earth Obs. Geoinformation, (2017)Filling Gaps in Micro-meteorological Data., , , , , и . ECML/PKDD (5), том 12461 из Lecture Notes in Computer Science, стр. 101-117. Springer, (2020)