02. Parameters & Traits

What you will learn

  • What every trait fed to a leaf, canopy, soil, atmosphere, or SCOPE model actually means physically – not just its symbol.

  • Each trait’s unit and realistic range, so a simulation input is a deliberate choice, not a guess.

  • Which model(s) actually read each trait.

Concept

Every function in this package takes a handful of physically meaningful inputs – a pigment concentration, a leaf angle, a soil moisture level – and this chapter is the reference to come back to for what each one means. It’s organized the same way the models themselves are layered: leaf, then canopy structure/geometry, then soil, then atmosphere, then SCOPE’s own physiological/energy variables on top of all of it. What each model is (PROSPECT vs. Fluspect vs. LIBERTY, fourSAIL vs. INFORM, …) has its own chapter – 03. Leaf Radiative Transfer Models and 04. Canopy Radiative Transfer Models – this page stays focused on the inputs.

Leaf biochemical traits

All leaf models (toolsrtm.leaf.prospect_d(), toolsrtm.leaf.prospect_pro(), toolsrtm.liberty.liberty(), toolsrtm.fluspect.fluspect_b()) build on the same PROSPECT physics: a leaf is treated as a stack of absorbing/scattering plates, and each trait below is one absorbing constituent (a pigment, water, dry matter) or one structural parameter of that stack.

Symbol

Meaning

Units

Typical range

Used by

N

Leaf structure parameter – effective number of compound-leaf “plates” the PROSPECT mesophyll model integrates over. Higher N = more internal scattering = higher NIR reflectance/ transmittance, independent of any pigment.

unitless

1 – 3 (rarely up to 4.5)

prospect_d, prospect_pro, fluspect_b

Cab

Chlorophyll a+b content. The single strongest driver of visible- light (400-700nm) absorption – healthy green leaves sit high in this range, senescent/stressed leaves low.

ug/cm2

0 – 100 (20-80 typical, healthy)

prospect_d, prospect_pro, fluspect_b

Car

Carotenoid content (mostly xanthophylls + beta-carotene). Absorbs alongside Cab in the blue/green, becomes visually dominant once Cab drops (autumn colours).

ug/cm2

0 – 25

prospect_d, prospect_pro, fluspect_b

Anth

Anthocyanin content. Usually near zero in healthy green leaves; rises under stress or senescence.

ug/cm2

0 – 40 (0 – ~7 typical crop)

prospect_d, prospect_pro

Cbrown

Brown-pigment absorption coefficient – a lumped, unitless proxy for senescent/degraded material, not a physical concentration.

unitless (0-1)

0 (green) – 1 (senescent)

prospect_d, prospect_pro

EWT

Equivalent water thickness – the water column each unit leaf area would form if spread into a uniform film. Drives the SWIR water-absorption features (~1450/1940/2500nm).

cm (equiv. g/cm2)

0.002 – 0.05 (0.01-0.02 typical)

prospect_d, prospect_pro, fluspect_b, liberty

LMA

Leaf mass per area – total dry matter content, lumping cellulose, lignin, protein and everything else that isn’t water or pigment.

g/cm2

0.002 – 0.02

prospect_d, fluspect_b

alpha

Leaf-air interface incidence-angle parameter (Fresnel refraction, Stern-Gershun/Allen) – a geometric-optics constant of the model itself, not a leaf biochemistry trait.

degrees

fixed at 40 in virtually all published PROSPECT work

prospect_d, prospect_pro, fluspect_b

Prot

Protein content – one of two constituents prospect_pro splits out of LMA.

g/cm2

0 – 0.01

prospect_pro

CBC

Carbon-based constituents (cellulose + lignin) – the other constituent prospect_pro splits out of LMA.

g/cm2

0 – 0.02

prospect_pro

Cs

Senescent-material absorption coefficient (Fluspect’s own, separate from PROSPECT’s Cbrown).

unitless (0-1)

0 (fresh) – 1

fluspect_b

Cx

Xanthophyll de-epoxidation state – violaxanthin-to-zeaxanthin conversion fraction (the photoprotective NPQ pigment pool).

unitless (0-1)

0 (relaxed) – 1 (photoprotecting)

fluspect_b

fqe

Fluorescence quantum efficiency – how much absorbed PAR is re-emitted as chlorophyll fluorescence.

unitless

~0.01 typical default

fluspect_b

prospect_pro and plain LMA-based models are mutually exclusive dry-matter parameterizations of the same leaf – supplying both LMA and non-zero Prot/CBC in one call is a modelling choice, not something the package validates for you.

LIBERTY-only structural traits

toolsrtm.liberty.liberty() targets conifer needles, not broadleaves, and needs explicit cell geometry instead of PROSPECT’s N/alpha Fresnel-optics layer:

Symbol

Meaning

Units

Typical range

cell_d

Average mesophyll cell diameter.

um

20 – 60

inter_c

Intercellular air-space fraction – the needle analogue of PROSPECT’s N.

unitless (0-1)

0.03 – 0.06

baseline_abs

Baseline (wavelength-flat) absorption coefficient.

unitless

~0.0005 – 0.001

leaf_thick

Needle thickness.

relative units

1 – 2

albino_abs

Extra absorption for albino/depigmented tissue.

unitless

0 (typical)

lign_cell

Lignin+cellulose cell-wall absorption term.

unitless

1 – 3

Nitrogen

Foliar nitrogen content, scaling protein-related absorption.

relative units

~1 (typical default)

Canopy structural traits

Once a leaf model produces reflectance/transmittance, toolsrtm.canopy.foursail(), foursail2, and toolsrtm.inform.inform() turn it into a canopy-level BRF, sharing the structural parameters below:

Symbol

Meaning

Units

Typical range

LAI

Leaf area index – total one-sided leaf area per unit ground area. The strongest canopy-level driver of NIR-plateau height and visible-band saturation.

m2/m2

0.1 – 8 (0 = bare soil)

LIDFa, LIDFb

Leaf inclination distribution shape parameters (Verhoef 1998, TypeLidf=1). LIDFa mainly sets the average leaf angle (-1 = horizontal to +1 = vertical); LIDFb adjusts bimodality/ spread. See “Named leaf-angle distributions” below.

unitless, each in [-1, 1]

see below

TypeLidf

1 = Verhoef two-parameter system; 2 = ellipsoidal, where LIDFa alone is the mean leaf angle in degrees.

1 or 2

hspot

Hot-spot size parameter – leaf width / canopy height.

unitless

0.01 – 0.5

Viewing / illumination geometry

Symbol

Meaning

Typical range

tts

Sun zenith angle.

0-90 degrees

tto

View (sensor) zenith angle – 0 is straight down (nadir).

0-90 degrees

psi

Relative azimuth between sun and viewer.

0-180 degrees

Named leaf-angle distributions

from toolsrtm.canopy import dladgen

spherical = dladgen(-0.35, -0.15)   # this package's own "no strong prior" default
print(spherical.lidf, spherical.litab)

Name

LIDFa

LIDFb

Typical canopy

Planophile

1

0

Mostly horizontal leaves (many crops, grasses)

Erectophile

-1

0

Mostly vertical leaves (some grasses, conifers)

Plagiophile

0

-1

Mostly oblique (~45 deg) leaves

Extremophile

0

1

Bimodal horizontal+vertical mix

Spherical

-0.35

-0.15

Sphere-distributed angles – most common default, used throughout this site’s own examples

Uniform

0

0

All angles equally likely

Bar chart of five named LIDF shapes across 13 leaf-angle bins, real output of dladgen()

Real output: dladgen()’s relative frequency per leaf-angle bin, for five named shapes. Planophile concentrates mass at low angles (horizontal leaves), erectophile at high angles (vertical leaves), spherical spreads smoothly across the whole range.

Soil variables

Two independent soil models, covered in full in 05. Soil & Atmosphere:

Symbol

Meaning

Typical range

soil_id

MARMIT: which dry reference spectrum to start from, from a bundled soil-spectral-library database.

database-dependent

L

MARMIT: water-film optical thickness (cm). Near 0 is dry, larger is wetter.

0.001 (dry) – 0.15+ (wet)

eps

MARMIT: soil surface roughness/optical-path parameter.

0.05 (dry/smooth) – 1.0 (wet/rough)

BSMBrightness

BSM: overall soil brightness.

0.3 – 0.9

BSMlat, BSMlon

BSM: soil spectral-shape “latitude”/”longitude” – empirical shape parameters, not geographic coordinates.

20-40 / 45-65

SMp

BSM: soil moisture, volume percentage.

5 – 55 %

SMC

BSM: soil moisture capacity.

~25 (recommended)

film

BSM: effective optical thickness of a single water film.

~0.015 (recommended)

Atmospheric variables

SMAC’s atmospheric-correction parameters, used by toolsrtm.spart.spart_toa() (05. Soil & Atmosphere):

Symbol

Meaning

Typical range

Pa

Atmospheric surface pressure.

~900-1030 hPa

aot550

Aerosol optical thickness at 550nm.

0.05 (clear) – 0.5+ (hazy)

uo3

Total-column ozone.

~0.3-0.4 atm-cm

uh2o

Total-column water vapour.

~1-3 g/cm2

SCOPE physiological / energy variables

scopeinpython.scope.get_scope() (06. SCOPE) adds photosynthesis, fluorescence, and energy-balance variables on top of everything above. Its leaf-biochemistry traits are exactly the leaf traits above; the traits genuinely unique to SCOPE:

Symbol

Meaning

Units

Typical range

Vcmax25

Maximum carboxylation capacity of Rubisco at 25degC – the biggest driver of photosynthetic capacity (and fluorescence yield). Low (<20) = stressed/senescent; 40-120 = typical healthy.

umol/m2/s

0.75 – 250

BallBerrySlope / BallBerry0

Ball-Berry stomatal conductance model: steeper slope tracks photosynthesis more tightly; BallBerry0 is the residual (cuticular) conductance at zero assimilation.

unitless / mol H2O/m2/s

1-20 / 0.01-0.05

kV

Canopy-depth extinction coefficient for Vcmax (shaded lower leaves down-regulate photosynthetic capacity).

unitless

~0.64 typical

Rdparam

Dark respiration as a fraction of Vcmax25.

unitless

~0.015 typical

Kn0/Knalpha/Knbeta, beta

Non-photochemical-quenching (NPQ) response constants (van der Tol et al. 2014); beta is the PAR fraction to PSII (default 0.51).

unitless

published SCOPE defaults

kNPQs/qLs/stressfactor

Sustained (stress-related) quenching terms, defaulted “off” (kNPQs=0, qLs=1, stressfactor=1).

unitless

0/1/1 = unstressed

hc

Canopy height – needed for the aerodynamic-resistance chain plain optical-only fourSAIL never needs.

m

0.5 – 5

Ca, Oa

Atmospheric CO2 (ppm) / O2 concentration – both feed the Farquhar Ci-solver directly.

ppm / mbar-equiv.

~410 / ~209

The full ~65-variable table, straight from the package’s own bundled inputs_SCOPE.csv (units, range, distribution, default – nothing re-typed by hand), lives on the R side (linked below).

Try it yourself

  • Look up Cab here, then run it through 01. Getting Started’s code at 3 different values (10, 40, 70) and compare the visible-region reflectance.

  • Pick a LIDF shape other than Spherical from the named-shapes table and re-run 04. Canopy Radiative Transfer Models’s LAI/LIDF experiment with it.

Common mistakes

  • Anth is in different units for PROSPECT-D (ug/cm2) vs. PROSPECT-PRO (nmol/cm2) – copying a value between the two silently changes what it represents.

  • Angles (tts, tto, psi, LIDFa under TypeLidf=2) are degrees, not radians.

  • Supplying both LMA and non-zero Prot/CBC doesn’t error – prospect_pro silently drops LMA to 0 and uses Prot/CBC instead.

Next

03. Leaf Radiative Transfer Models – what PROSPECT-D, PROSPECT-PRO, Fluspect-B/Cx, and LIBERTY each actually simulate, run and plotted side by side.


Using R? -> ToolsRTM Parameter & Trait Glossary and SCOPEinR Trait & LUT Glossary