Change detection and deformation analysis using static and mobile laser scanning R Lindenbergh, P Pietrzyk Applied Geomatics 7, 65-74, 2015 | 111 | 2015 |
Modeling and observation of heat losses from buildings: The impact of geometric detail on 3D heat flux modeling D Lee, P Pietrzyk, S Donkers, V Liem, J van Oostveen, S Montazeri, ... Proceedings of the 33rd European Association of Remote Sensing Laboratories …, 2013 | 17 | 2013 |
Detection of harvested trees in forests from repeated high density airborne laser scanning PJ Pietrzyk, RC Lindenbergh ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014 | 6 | 2014 |
The effect of 3D geometry complexity on simulating radiative, conductive and convective fluxes in an urban canyon R Boeters, S Donkers, DJ Lee, V Liem, S Montazeri, J Van Oostveen, ... Geomatics Synthesis Project, 2012 | 5 | 2012 |
Comparison of open‐source three‐dimensional reconstruction pipelines for maize‐root phenotyping S Liu, WP Bonelli, P Pietrzyk, A Bucksch The Plant Phenome Journal 6 (1), e20068, 2023 | 2 | 2023 |
Comparison of Open-Source Three-Dimensional Reconstruction Pipelines for Maize-Root Phenotyping S Liu, W Bonelli, P Pietrzyk, A Bucksch Authorea Preprints, 2022 | 1 | 2022 |
Change Detection in Forests Using Multi-Temporal High Density Airborne Laser Scanning Data P Pietrzyk M. Sc. Thesis, TUDelft, 2015 | 1 | 2015 |
Toward an open‐source 3D‐printable laboratory MC McNair, SC Cocioba, P Pietrzyk, TW Rife Applications in Plant Sciences, e11562, 2024 | | 2024 |
DIRT/μ-Automated extraction of root hair traits using combinatorial optimization P Pietrzyk, N Phan-Udom, C Chutoe, L Pingault, A Roy, M Libault, ... bioRxiv, 2024.01. 18.576310, 2024 | | 2024 |
DIRT/3D 2.0: Increased efficiency for 3D root phenotyping S Liu, WP Bonelli, P Pietrzyk, A Bucksch ASPB Meeting 2023 (Poster), 2023 | | 2023 |
Comparison of open-source image-based reconstruction pipelines for 3D maize root phenotyping A Bucksch, WP Bonelli, P Pietrzyk Authorea Preprints, 2022 | | 2022 |
Comparison of open-source image-based reconstruction pipelines for 3D root phenotyping of field-grown maize WP Bonelli, P Pietrzyk, A Bucksch Authorea Preprints, 2022 | | 2022 |
Automatic root hair measurement to quantify abiotic stresses in microscopy images P Pietrzyk, N Phan-Udom, C Chutoe, P Saengwilai, A Bucksch Authorea Preprints, 2022 | | 2022 |
DIRT/mu: Automatic root hair measurement in maize (Zea mays ssp.) from microscopy images P Pietrzyk, N Phan-Udom, C Chutoe, P Saengwilai, A Bucksch Authorea Preprints, 2022 | | 2022 |
Morphological phenotyping of hooked hairs in Phaseolus Vulgaris A Roy, A Bralick, P Pietrzyk, A Bucksch Authorea Preprints, 2022 | | 2022 |
Improve crop root architecture by resolving self-intersections of individual roots P Pietrzyk, A Bucksch | | 2022 |
Indoor-Field: A macro-mesocosm system to study the field dynamics of phenotypic spectrum of common bean (Phaseolus vulgaris. L) L Xie, C Kim, S Page, J Kengana, P Pietrzyk, J Mcklveen, W Lavoy, ... Authorea Preprints, 2022 | | 2022 |
Comparison of open-source image-based reconstruction pipelines for 3D root phenotyping of field-grown maize SB Liu 2022 NAPPN Conference Proceedings, 2022 | | 2022 |
An Algorithm to Measure Root Hair Response to Abiotic Stresses in Microscopy Images P Pietrzyk, N Phan-Udom, C Chutoe, P Saengwilai, A Bucksch ASA, CSSA, SSSA International Annual Meeting, 2021 | | 2021 |
Comparison of open-source image-based reconstruction pipelines for 3D root phenotyping of field-grown maize S Liu, W Paul Bonelli, P Pietrzyk, A Bucksch ESS Open Archive eprints 105, essoar. 10508357, 2021 | | 2021 |