Remote Sensing Technicians

Life, Physical, and Social Science Occupations
O*NET-SOC 代码
19-4099.03

Apply remote sensing technologies to assist scientists in areas such as natural resources, urban planning, or homeland security. May prepare flight plans or sensor configurations for flight trips.

  • 数据来源: BLS发布时间: 2026-08

    很高· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别（低 / 中等 / 高 / 很高）

    以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档

    来源数据集（XLSX 文件下载）

  • 数据来源: Anthropic发布时间: 2026-03

    0.096

    0.000此处所载数值的范围0.745

    职业群单位数值

    尺度 · 母数 · 来源

    观测暴露度指数，按发布原值0–1

    以O*NET任务映射为基准

    按 SOC 2018 职业发布的数值；具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值

    来源数据集（CSV 文件下载）

  • 数据来源: ILO发布时间: 2025

    0.26· ISCO-08 职业组 2 个

    尺度 · 母数 · 来源

    生成式AI暴露度指数，按发布原值0–1

    按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应

    来源数据集（PDF 文件下载）

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

各关联 ISCO-08 职业组的 ILO 数值
  • ISCO-08 3111Chemical and Physical Science Technicians0.26
  • ISCO-08 3119Physical and Engineering Science Technicians Not Elsewhere Classified0.26

Task-level exposure

仅显示有暴露的工作

已评分任务 22 项 · β ≥ 0.5 的任务 22 项（100.0%）

β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。

  • 原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
  • 已评分任务中有 1 项不在 O*NET 31.0 任务列表中，其分数按 O*NET 27.2 的发布值保留。
来源
OpenAI "GPTs are GPTs" exposure rubric
版本
gh-main-0471612
许可
MIT License, Copyright (c) 2024 OpenAI
Task (O*NET 20.1)Claude.aiRaw / share %APIRaw / share %
Prepare documentation or presentations, including charts, photos, or graphs.

19-4099.03

0.044158.80.011514.7
Develop specialized computer software routines to customize and integrate image analysis.

19-4099.03

0.019325.70.022628.9
Document methods used and write technical reports containing information collected.

19-4099.03

0.009312.40.038749.4
Calibrate data collection equipment.

19-4099.03

0.00233.10.00202.6
Monitor raw data quality during collection and make equipment corrections as necessary.
—00.00354.5
Not observed on any surface — 17 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Participate in the planning or development of mapping projects.
—0—0
Verify integrity and accuracy of data contained in remote sensing image analysis systems.
—0—0
Merge scanned images or build photo mosaics of large areas, using image processing software.
—0—0
Integrate remotely sensed data with other geospatial data.
—0—0
Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
—0—0
Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
—0—0
Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
—0—0
Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
—0—0
Maintain records of survey data.
—0—0
Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.
—0—0
Operate airborne remote sensing equipment, such as survey cameras, sensors, or scanners.
—0—0
Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions.
—0—0
Develop or maintain geospatial information databases.
—0—0
Correct raw data for errors due to factors such as skew or atmospheric variation.
—0—0
Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.
—0—0
Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.
—0—0
Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

O*NET 31.0 全部任务（21 项）

本职业在 O*NET 31.0 中的全部任务（英文原文；任务类型为核心或补充）。暴露值不列在此清单中，而在上方表格里，位于各来源所用 O*NET 版本的任务表述旁。

任务（O*NET 31.0）类型
Participate in the planning or development of mapping projects.核心
Verify integrity and accuracy of data contained in remote sensing image analysis systems.核心
Prepare documentation or presentations, including charts, photos, or graphs.核心
Merge scanned images or build photo mosaics of large areas, using image processing software.核心
Integrate remotely sensed data with other geospatial data.核心
Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.核心
Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.核心
Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.核心
Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.核心
Maintain records of survey data.补充
Document methods used and write technical reports containing information collected.补充
Develop specialized computer software routines to customize and integrate image analysis.补充
Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.补充
Monitor raw data quality during collection, and make equipment corrections as necessary.补充
Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions.补充
Develop or maintain geospatial information databases.补充
Correct raw data for errors due to factors such as skew or atmospheric variation.补充
Calibrate data collection equipment.补充
Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.—
Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.—
Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection.—

职业信息

就业展望（BLS）

这些数值属于整个 SOC 19-4099 组（Life, physical, and social science technicians, all other），并非仅属于该 O*NET 职业。

就业人数，2025
90K
预计就业人数，2035
93K
变化 (2025–35)
+4.4%
年薪中位数，2025
$62,280
入职通常所需学历
Associate's degree
最低 $30,890BLS EP 2025–35 中 825 个细分职业的工资中位数范围最高 $559,030

来源: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

韩国职业分类关联（KSCO）

来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。

KSCO 代码KSCO 名称关系状态
23162사진측량 및 원격탐사 분석가范围相同已确认

关系与状态的定义(kr-direct v1.1)

国际劳工组织（ILO）职业说明

以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局（BLS）发布的对照表（2018 SOC→2010 SOC、2010 SOC→ISCO-08）、不逐案取舍，与本职业相关联；每项关联可能是完全对应，也可能是部分对应。

  • ISCO-08 3111Chemical and Physical Science Technicians

    化学和物理科学技术员

  • ISCO-08 3119Physical and Engineering Science Technicians Not Elsewhere Classified

    其他未列明的物理和工程科学技术员

自行翻译

自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。

Sources: ILO ISCO-08 — details: Credits

ESCO 职业词汇

以下每一项都是在已公开的ESCO-O*NET Crosswalk（第 1 版，2022 年）中与本职业逐项对应的。对应类型出自该对照表；表述出自 AI Changing Work。

  • remote sensing technicianESCO 3111.13范围相同

    Remote sensing technicians collect airborne data. They utilise equipment aimed for the collection of data and determination of geographical points in order to help in a variety of operations such as land conservation, urban planning, and military operations.

  • hydrographic surveying technicianESCO 3111.5有重叠，但不相同

    Hydrographic surveying technicians perform oceanographic and surveying operations in marine environments. They assist hydrographic surveyors, using specialised equipment to map and study underwater topography and morphology of bodies of water. They assist in the installation and deployment of hydrographic and surveying equipment and report about their work.

来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

许可: CC BY 4.0 (EU Reuse Notice)

查看原文

ESCO reuse terms and the modification notice are in Credits.

法国职业分类关联（ROME）

本职业与 ROME 4.0 职业条目（fiche）之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列（Claude）两位判定者的判定采纳，或对其判定适用运营方规则后采纳，因此其依据弱于已确认的关联。

ROME 代码ROME 名称（法语）关系
M1808Cartographe相关，但不对应
M1895Géomaticien / Géomaticienne相关，但不对应

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

西班牙职业分类关联（CNO-11）

本职业与 CNO-11 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

CNO-11 代码CNO-11 名称（西班牙语）关系
3121Técnicos en ciencias físicas y químicas相关，但不对应
3129Otros técnicos de las ciencias físicas, químicas, medioambientales y de las ingenierías相关，但不对应

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

德国职业分类关联（KldB）

本职业与 KldB 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

KldB 代码KldB 名称（德语）关系
31223Berufe in der Kartografie - komplexe Spezialistentätigkeiten有重叠，但不相同暂定
31222Berufe in der Kartografie - fachlich ausgerichtete Tätigkeiten相关，但不对应

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

日本职业分类关联（JSCO）

本职业与 JSCO 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

JSCO 代码JSCO 名称（日语）关系
119その他の技術者相关，但不对应
093測量技術者相关，但不对应暂定

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

本页数据的来源与许可，以及 AI Changing Work 的修改与翻译说明：致谢与来源