mirror of
https://github.com/zoo-apps/papers.git
synced 2026-11-03 14:59:55 +00:00
zeekayandHanzo Dev
6658236499
Leadership and team cards, board and founding prose, an AI persona modelled on a named individual, contributor and partner entries, and personal correspondence addresses all named one person. The organisation carries them now. Other people keep their names. Where a card, a board list or a founding line named someone else alongside, they stay exactly as they were; only the one entry was removed, and prose that listed two names now reads with one. Sample and fixture data uses the placeholder name these tests already use elsewhere, so the IAM username defect the notes describe still reads as written. The zoo/yapp MIT notice names the foundation that publishes it. Co-authored-by: Hanzo Dev <[email protected]>
112 lines
4.7 KiB
TeX
112 lines
4.7 KiB
TeX
\documentclass[11pt,a4paper]{article}
|
|
\usepackage{shared/zoocover}
|
|
|
|
% ── Packages ──────────────────────────────────────────────────────────────────
|
|
\usepackage[utf8]{inputenc}
|
|
\usepackage[T1]{fontenc}
|
|
\usepackage{lmodern}
|
|
% geometry loaded by zoocover
|
|
\usepackage{amsmath,amssymb,amsfonts}
|
|
\usepackage{graphicx}
|
|
\usepackage{booktabs}
|
|
\usepackage{hyperref}
|
|
\usepackage{cleveref}
|
|
\usepackage{natbib}
|
|
\usepackage{algorithm}
|
|
\usepackage{algorithmic}
|
|
\usepackage{xcolor}
|
|
\usepackage{tikz}
|
|
\usetikzlibrary{arrows.meta,positioning,shapes.geometric}
|
|
\usepackage{float}
|
|
\usepackage{subcaption}
|
|
\usepackage{enumitem}
|
|
\usepackage{microtype}
|
|
\usepackage{fancyhdr}
|
|
\usepackage{abstract}
|
|
\usepackage{multirow}
|
|
|
|
% ── Page Style ────────────────────────────────────────────────────────────────
|
|
\pagestyle{fancy}
|
|
\fancyhf{}
|
|
\fancyhead[L]{\small Zoo Labs Foundation Research}
|
|
\fancyhead[R]{\small Verifiable Carbon Credits}
|
|
\fancyfoot[C]{\thepage}
|
|
\renewcommand{\headrulewidth}{0.4pt}
|
|
|
|
% ── Metadata ──────────────────────────────────────────────────────────────────
|
|
\title{%
|
|
\textbf{Verifiable Carbon Credits: MRV Infrastructure\\
|
|
for Nature-Based Solutions}\\[0.5em]
|
|
\large Zoo Labs Foundation Paper ZOO-MRV-2026
|
|
}
|
|
|
|
\author{
|
|
Zoo Labs Foundation Research\\
|
|
\texttt{[email protected]}\\[0.5em]
|
|
\small With contributions from the Zoo Open Science Network
|
|
}
|
|
|
|
\date{June 2025}
|
|
|
|
% ── Macros ────────────────────────────────────────────────────────────────────
|
|
\newcommand{\R}{\mathbb{R}}
|
|
\newcommand{\E}{\mathbb{E}}
|
|
\newcommand{\Loss}{\mathcal{L}}
|
|
\newcommand{\tCO}{tCO$_2$e}
|
|
|
|
\begin{document}
|
|
|
|
\zoocoverpage
|
|
|
|
% ── Abstract ──────────────────────────────────────────────────────────────────
|
|
\begin{abstract}
|
|
\noindent
|
|
Nature-based carbon credits suffer a crisis of credibility. Recent
|
|
analyses reveal that 70--90\% of certified forest carbon offsets may
|
|
represent phantom emissions reductions, undermining market integrity and
|
|
climate goals. The root cause is inadequate Measurement, Reporting, and
|
|
Verification (MRV) infrastructure that relies on infrequent manual
|
|
audits, self-reported baselines, and opaque methodologies. We present
|
|
\textbf{ZooMRV}, an open-source digital MRV platform that combines
|
|
multi-spectral satellite imagery, LiDAR-derived biomass estimation,
|
|
eddy covariance flux networks, and on-chain attestation to produce
|
|
continuously verified carbon credit certificates. ZooMRV processes
|
|
Sentinel-2, Landsat-9, and GEDI LiDAR data through a deep learning
|
|
pipeline (CarbonNet) that estimates above-ground biomass with a root
|
|
mean square error of 18.4~Mg/ha---a 34\% improvement over the current
|
|
operational standard. Credits are issued as non-fungible tokens on the
|
|
Zoo Network with immutable provenance chains linking each credit to
|
|
specific monitoring data, spatial boundaries, and verification reports.
|
|
We demonstrate the system on 47 nature-based solution (NBS) projects
|
|
across tropical forests, mangroves, peatlands, and grasslands, totaling
|
|
2.3 million hectares. ZooMRV detects 23\% more reversals (biomass loss
|
|
events) than traditional audit cycles and reduces the mean time between
|
|
event and detection from 14 months to 12 days. The platform is governed
|
|
through Zoo DAO processes and released under open licenses.
|
|
|
|
\medskip
|
|
\noindent\textbf{Keywords:} carbon credits, MRV, satellite monitoring,
|
|
biomass estimation, nature-based solutions, blockchain verification,
|
|
remote sensing
|
|
\end{abstract}
|
|
|
|
\newpage
|
|
\tableofcontents
|
|
\newpage
|
|
|
|
% ══════════════════════════════════════════════════════════════════════════════
|
|
|
|
\input{sections/01-introduction}
|
|
\input{sections/02-background}
|
|
\input{sections/03-carbonnet-biomass-estimation-model}
|
|
\input{sections/04-dynamic-baselining}
|
|
\input{sections/05-continuous-monitoring-pipeline}
|
|
\input{sections/06-on-chain-credit-registry}
|
|
\input{sections/07-evaluation-on-nbs-projects}
|
|
\input{sections/08-discussion}
|
|
\input{sections/09-implementation}
|
|
\input{sections/10-future-work}
|
|
\input{sections/99-conclusion}
|
|
|
|
\end{document}
|