{
  "abstract": "Spatially explicit Earth-observation products and machine-learning models increasingly support detailed monitoring of vegetation productivity and land-surface dynamics across Mongolia. Yet the spatial unit observed by a satellite, the area actually grazed by a mobile herd, the administrative unit used in official statistics, and the household unit used in socioeconomic surveys are rarely identical. This methodological study formalizes that scale mismatch as a source of exposure-measurement and inferential error in linked rangeland–livelihood research. It develops a pixel-to-household framework that separates five objects: remotely sensed environmental signals, ecological interpretation, seasonal grazing locations, mobility-weighted household exposure, and livestock or household outcomes. The framework identifies four recurrent mismatches—pixel-to-pasture, residence-to-grazing-area, temporal aggregation, and administrative-boundary mismatch—and specifies alternative procedures for constructing exposure weights using GPS tracks, participatory mapping, seasonal-location surveys, livestock unit weighting, and probabilistic exposure surfaces. Using Mongolian rangeland research as the application domain, the study shows why strong predictive agreement with a remotely sensed productivity proxy does not by itself establish household-level exposure or causality. The resulting design standards emphasize explicit spatial and temporal support, structured validation, exposure uncertainty, and sensitivity to alternative linkage rules. The framework is intended as a technical design tool for remote-sensing, ecological, livestock, and socioeconomic studies in mobile pastoral systems",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "name": "Lkhamdulam Ganbat"
    },
    {
      "name": "Uyanga Ganbat"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e4drs4pe2c9tk.bib",
  "cited_by": 0,
  "doi": "10.31223/x5rz2n",
  "fulltext_url": null,
  "id": "e4drs4pe2c9tk",
  "issns": [],
  "landing_url": "https://eartharxiv.org/repository/view/15283/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/legalcode",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Earth Sciences"
    ],
    [
      "bepress",
      "Environmental Sciences"
    ],
    [
      "bepress",
      "Mongolia"
    ],
    [
      "bepress",
      "causal inference"
    ],
    [
      "bepress",
      "ecological exposure"
    ],
    [
      "bepress",
      "grazing systems"
    ],
    [
      "bepress",
      "household panel"
    ],
    [
      "bepress",
      "machine learning"
    ],
    [
      "bepress",
      "pastoral mobility"
    ],
    [
      "bepress",
      "rangelands"
    ],
    [
      "bepress",
      "remote sensing"
    ],
    [
      "bepress",
      "spatial  scale"
    ],
    [
      "openalex",
      "2308|Rangeland Management and Livestock Ecology"
    ]
  ],
  "openalex": "W7214947615",
  "pdf_url": "https://eartharxiv.org/repository/object/15283/download/26494/",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-30",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/e4drs4pe2c9tk.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:39Z",
      "native_id": "15283",
      "source": "eartharxiv",
      "url": "https://eartharxiv.org/repository/view/15283/"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "bepress:Environmental Sciences",
      "subfield": "environmental-science"
    }
  ],
  "title": "From Pixels to Mobile Pastoral Households: Scale Mismatch, Exposure Measurement, and Inference in Mongolian Rangeland Research",
  "title_text": "From Pixels to Mobile Pastoral Households: Scale Mismatch, Exposure Measurement, and Inference in Mongolian Rangeland Research",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:39Z",
  "url": "https://research.draconitic.com/paper/e4drs4pe2c9tk",
  "venue": "EarthArXiv",
  "versions": []
}