Neuro-Symbolic Geospatial Intelligence: A Framework for Understanding Nature-Related Risks in the Informal Global South

Neuro-Symbolic Geospatial Intelligence: A Framework for Understanding Nature-Related Risks in the Informal Global South | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 20 March 2026 V1 Latest version Share on Neuro-Symbolic Geospatial Intelligence: A Framework for Understanding Nature-Related Risks in the Informal Global South Author : Rishaank Gupta 0009-0004-8506-7972 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177403099.97940588/v1 80 views 42 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Nature-related financial risks are increasingly central to global reporting frameworks, yet most small and informal businesses in developing countries remain invisible to existing data systems. Because these enterprises lack formal records and defined map locations, their environmental impact cannot be assessed or incorporated into large-scale risk models. Current AI and satellite-based methods are insufficient for this task: purely connectionist approaches require large labeled datasets that do not exist for informal industrial settings, while language models lack the structured reasoning required for financial compliance. This paper proposes a neuro-symbolic framework in which satellite imagery is combined with a logic-based industrial knowledge graph to infer the activity types and environmental risk profiles of informal enterprises in unmapped urban areas. The approach leverages symbolic rules to compensate for data scarcity while producing transparent, auditable reasoning traces suitable for TNFD LEAP compliance. A secondary application is identified: the same spatial analysis that locates industrial clusters for financial disclosure purposes simultaneously maps environmental exposure zones relevant to maternal health surveillance in climate-vulnerable cities. Rather than presenting experimental results, this work defines the research gap, proposes an operational framework architecture, and outlines a three-phase research agenda Supplementary Material File (nsgis_preprint_v1_revised (1).pdf) Download 259.82 KB Information & Authors Information Version history V1 Version 1 20 March 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords geospatial remote sensing global south informal economy neuro-symbolic ai tnfd leap Authors Affiliations Rishaank Gupta 0009-0004-8506-7972 [email protected] Neuro-Symbolic AI • Informal Economy • Geospatial Remote Sensing • TNFD LEAP • Global South • Satellite Imagery • Maternal Health • Environmental Risk • DeepProbLog • Nature Finance View all articles by this author Metrics & Citations Metrics Article Usage 80 views 42 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Rishaank Gupta. Neuro-Symbolic Geospatial Intelligence: A Framework for Understanding Nature-Related Risks in the Informal Global South. Authorea . 20 March 2026. DOI: https://doi.org/10.22541/au.177403099.97940588/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.177403099.97940588/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fe0ac4d9f96df88',t:'MTc3OTE2ODI0Mg=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();