AresysAresysEuropean Space AgencyEuropean Space Agency

1. Introduction#

1.1 Context#

BIOMASS is ESA’s 7th Earth Explorer mission. The purpose of BIOMASS is to reduce the uncertainty in the worldwide spatial distribution and dynamics of forest biomass in order to improve current assessments and future projections of the global carbon cycle. This objective will be achieved by the implementation of a P-band SAR mission, providing global maps of forest biomass stocks, forest disturbance and growth.

The BIOMASS mission will also provide 3D views of forests through the tomographic phase and will support additional science needs arising from the opportunity to explore the Earth for the first time with a P-band SAR system from space, offering the possibility to see below vegetated areas and beneath bare soil or icy regions.

To achieve its challenging objectives, the BIOMASS mission requires a specific data processing strategy that combines different technologies at different processing levels in order to generate the final Above Ground Biomass global map.

1.2 Scope of the document#

The purpose of this document is to provide the Above Ground Biomass Algorithms Theoretical Baseline Document (ATBD) for the BIOMASS Processing Suite (BPS) project. This document is organised as follows:

Section

Content

1

Overview of the document

2

Brief introduction about BPS and Above Ground Biomass processing

3

Description of L2a Above Ground Biomass algorithms

4

Description of L2b/L3 Above Ground Biomass algorithms

1.3 Acronyms#

Acronym

Meaning

AD

Applicable Document

ADS

Annotation datasets

ACM

Average Covariance Matrix

AGB

Above-ground biomass

ARESYS

Advanced Remote Sensing and Systems

ATBD

Algorithm Theoretical Baseline Document

AUX

Auxiliary

BIODEMPP

Biomass DEM Prototype Processor

BPS

BIOMASS Processing Suite

CFI

Customer Furnished Items

CFM

Computed Forest Mask

CM

Covariance Matrix

CoSCS

Coregistered SCS

CP

co-polarization

DEM

Digital Elevation Model

DGG

Discrete Global Grid

DTM

Digital Terrain Model

ECSS

European Cooperation for Space Standardization

EO-CFI

Earth Observation Custom Furnished Items

ESA

European Space Agency

FD

Forest Disturbance

FH

Forest Height

FNF

Forest/Non-Forest Mask

GN

ground cancellation (Ground Notching)

GPP

Ground Processor Prototype

GPS

Global Positioning System

IERS

International Earth Rotation Service

InSAR

Interferometric Synthetic Aperture Radar

INT

Interferometric Phase

L0

Level-0 product

L1c

Level-1c product

L2a

Level-2a product

L2b

Level-2b product

L3

Level-3 product

LOS

Line Of Sight

LUT

Look-Up Table

PF

Processing Facility

PFD

Product Format Specification Document

RD

Reference Document

SAR

Synthetic Aperture Radar

SCS

Single-look Complex Slant-range

SKP

Sum of Kronecker Products

SNR

Signal-to-Noise Ratio

std

Standard deviation

TBD

To Be Defined

TBC

To Be Confirmed

TOM

Tomographic Phase

XML

eXtended Markup Language

XP

cross-polarization

1.4 Applicable documents#

Code

Title

Issue

[AD1]

BIOMASS Production Model, BIO-ESA-EOPG-EEGS-TN-0046

3.5

[AD2]

BIO-BPS-TN-PRODMOD, BIOMASS Production Model Technical Note

I/R 1/2/1

[AD3]

BIO-BPS-L1-PFD, BIOMASS L1a,b,c products format specification

I/R 1/2/2

1.5 Reference documents#

Code

Source

[RD1]

BIO-BPS-L1-STACK-ATBD, BIOMASS BPS L1c Stack ATBD, I/R 1/1/2

[RD2]

BIO-BPS-L1-SAR-ATBD, BIOMASS BPS L1 SAR ATBD, I/R 1/1/2

[RD3]

BIOMASS DEM Product Processor Prototype, DEM Processor Algorithm Theoretical Baseline Document, BIODEMPP-CoSCS-DEM-01, Issue 4.0, June 07th 2021

[RD4]

M. Mariotti d’Alessandro, S. Tebaldini, S. Quegan, M. J. Soja, L. M. H. Ulander and K. Scipal, “Interferometric Ground Cancellation for Above Ground Biomass Estimation,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6410-6419, Sept. 2020

[RD5]

Snowdon, Peter. “A ratio estimator for bias correction in logarithmic regressions.” Canadian Journal of Forest Research 21.5 (1991): 720-724

[RD6]

Díaz-Francés, Eloísa, and Francisco J. Rubio. “On the existence of a normal approximation to the distribution of the ratio of two independent normal random variables.” Statistical Papers 54 (2013): 309-323

[RD7]

BIO-BPS- AUX-FMT, BPS Auxiliary Product Format, I/R 3/2

[RD8]

BIO-BPS-PPD, BIOMASS BPS Product Performance Description, I/R 3/0

[RD9]

L2-ATBD-ARE-011567, BIOMASS L2 Algorithm Theoretical Baseline Document, I/R 1/5

[RD10]

BIO-BPS-IODD, BIOMASS BPS IODD, I/R 3/0/2

[RD11]

Soja, Maciej J., et al. “Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data.” Remote Sensing of Environment 253 (2021): 112153