Point Clouds

Brendan Harmon

Point Clouds

Sets of x, y, and z coordinates

Point Cloud Data Structure

X Y Z R G B
-1.38539982 -2.95930004 -8.80980003 53 41 45
-1.08609962 -2.85930014 -8.68869996 74 45 40
-1.30480003 -2.65850019 -8.70860004 16 8 7
-0.80039978 -2.58699989 -8.75689995 161 133 126
-0.82590008 -2.53049994 -8.19280005 151 137 136
-0.35680008 -2.37580013 -8.59280002 18 17 18
-0.35239983 -2.40630007 -8.21350002 123 62 48
-0.69639969 -2.26340008 -8.67620003 26 24 22
-0.70779991 -2.26650000 -8.07910001 49 57 69
-0.20359993 -2.04750013 -8.65110004 42 41 49
0.29399967 -1.95119953 -8.60870004 53 65 91
0.37310028 -1.43799973 -8.64540005 122 89 76
-0.21290016 -2.03420019 -8.16050005 19 13 11
0.31190014 -1.92490005 -8.18309999 89 50 37

Laser Scanning

Drone Photogrammetry

Point Cloud Rendering

Allée

Applications

  • Map sites
  • Document cultural heritage
  • Study landscape dynamics
  • Creatively model designs

Documenting Cultural Landscapes

Gotthard Landscape

ETHZ Landscape Architecture

Digital Modeling

Decomposing Röntgenplatz

ETHZ Landscape Architecture

  • Software: Cinema 4D with Krakatoa plug-in

Cloudism

Designers adopting cloudism will step into an overwhelmingly convincing simulacra of physical reality, space and time; this will enhance their understanding of site, and yield a stronger awareness of ambient aspects and cues.

Girot 2019

Medium

  • Point Clouds: Algorithmically mediated, indexical encodings of space and color at a moment in time

Semiotics

  • Iconic: Look like what they represent
  • Indexical: Physically and causally connected to what they represent
  • Symbolic: Encoded as data and rendered as signs given meaning by convention

Characteristics

  • Algorithmic: Transcribed from photons into bits
  • Hyperreal: Displaces reality with authoritative data
  • Contingent Indices: Depend on what captured
  • Contingent Symbols: Depend on digital processing
  • Interactive: Not just an image, but rather data
  • Abstract: Pointillist in its incompleteness

Rosedown Plantation

Rosedown Plantation

LSU Landscape Architecture

https://xyz.cct.lsu.edu/rosedown/

Drone Photogrammetry

Laser Scanning

Scans

Method Feature Scans Resolution Points
Matrice Landscape 1 2cm 360,445,708
Faro Focus Interior 94 1/16 771,951,841
Dining Room 7 1/4 268,464,534
Façade 27 1/8 55,847,608
Rockery 26 1/8 47,414,057
Milk House 12 1/8 58,657,059
Both Gazebo 1 + 6 1/8 41,176,644
Allée 1 + 130 1/8 > 1 billion

Allée

Rockery

Dining Room

Slave Staircase

Interpretative Analysis

Documentary

  • Evocative
  • Complexity
  • Temporality
  • Spatial narratives
  • Emotional narratives

Hilltop Arboretum

Hilltop Arboretum

LSU Landscape Architecture

Meadow

Drone Time Series

Technology

Fieldwork

  • Ground control points
  • Soil cores
  • Biomass quadrats

Biomass

$$ B = \frac{V \rho_s + V \rho_r}{x y} $$

  • $B$ = biomass density $(kg / m^{2})$
  • $V$ = volume $(m^3)$
  • $\rho_s$ = shoot bulk density $(kg / m^{3})$
  • $\rho_r$ = root bulk density $(kg / m^{3})$
  • $x$ = east-west resolution $(m)$
  • $y$ = north-south resolution $(m)$

Carbon

$$ C = B C_f x y $$

  • $C$ = carbon $(kg C)$
  • $B$ = biomass density $(kg / m^{2})$
  • $Cf$ = carbon fraction $(C$%$)$
  • $x$ = east-west resolution $(m)$
  • $y$ = north-south resolution $(m)$

Spatiotemporal Phenomena

  • Landscape structure
  • Photosynthetic activity
  • Growth and decay of biomass
  • Carbon cycling

Landscape Structure

  • Indexicality and iconicity of photography
  • Analytic quality of architectural drawings
  • Depth and interactivity of 3-dimensional models
  • Unique level of detail

Data Science

  • Quantitative data as scatterplot

January

June

August

Peak Biomass

Peak Carbon

Plots

Volume Plot 2020-2021

Robotics

Generative Design

Ceramic 3D Printing

Ceramic 3D Printing

Robotic 3D Printing

Robotic Planting

Robotic Planting