--- title: "Satellite and geospatial data datasets" description: "Datasets in the category “Satellite and geospatial data” were mentioned in 13 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #31 of the 58 data categories mentioned." url: https://scholar4ai.com/datasets/satellite-and-geospatial-data markdown_url: https://scholar4ai.com/datasets/satellite-and-geospatial-data.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "Datasets in the category “Satellite and geospatial data” were mentioned in 13 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #31 of the 58 data categories mentioned." data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T14:32:25+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # Satellite and geospatial data Night-time lights, land cover, satellite imagery and maps. - 4 papers in the last 7 days - 5 of its 6 datasets mentioned Back to the ranking: https://scholar4ai.com/rankings/datasets.md ## Key findings - Datasets in the category “Satellite and geospatial data” were mentioned in 13 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #31 of the 58 data categories mentioned. - The most-mentioned were Night-time lights (VIIRS, DMSP) (5), OpenStreetMap (3), Sentinel / Copernicus (3), Landsat (2) and MODIS (2). - By journal category: Economics (6), Operations Research (3), Finance (2) and AI (2). - Most of them appeared in International Review of Economics & Finance (2), Transportation Research Part C Emerging Technologies (2) and Utilities Policy (2). ## Datasets *Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)* | Dataset | Papers | Last 7 days | Names searched for | |---|---:|---:|---| | Night-time lights (VIIRS, DMSP) | 5 | 1 | nighttime light, night-time light, night light, VIIRS, DMSP | | OpenStreetMap | 3 | 2 | OpenStreetMap | | Sentinel / Copernicus | 3 | 1 | Sentinel-1, Sentinel-2, Copernicus | | Landsat | 2 | 0 | Landsat | | MODIS | 2 | 1 | MODIS | | Google Earth Engine | 0 | 0 | Google Earth Engine | ## Papers *Papers mentioning these datasets, newest first.* | Date | Title | Journal | Authors | Affiliations | Datasets mentioned | |---|---|---|---|---|---| | 2026-10-23 | [Managerial slack, information environment and stock price crash risk: Evidence from China](https://doi.org/10.1016/j.iref.2026.106011) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Chuyue Wu, Yuyang Ling, Yikai Han | Central University of Finance and Economics | MODIS | | 2026-10-22 | [Business networks and the persistence of entrepreneurship: evidence from China](https://doi.org/10.1007/s11187-026-01292-7) | [Small Business Economics](https://scholar4ai.com/journals/small-business-economics.md) | Han Wang, Neil Lee | University of Southampton; London School of Economics and Political Science | Night-time lights (VIIRS, DMSP) | | 2026-10-22 | [Measuring the state of open science in transportation using large language models](https://doi.org/10.1016/j.trc.2026.106024) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Junyi Ji, Ruth Lu, Linda Belkessa et al. | Vanderbilt University; Massachusetts Institute of Technology; Université Gustave Eiffel; … | OpenStreetMap | | 2026-10-21 | [The economic geography of Churches: housing market effects in Stockholm](https://doi.org/10.1007/s10824-026-09609-w) | [Journal of Cultural Economics](https://scholar4ai.com/journals/journal-of-cultural-economics.md) | Mats Wilhelmsson | KTH Royal Institute of Technology | Sentinel / Copernicus, OpenStreetMap | | 2026-10-16 | [Transductive few-shot learning for ecosystem classification from satellite time series: A systematic study](https://doi.org/10.1016/j.eswa.2026.134761) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Minsu Cho, Hyunwoo Park, Dohyun Park et al. | Kwangwoon University; Seoul National University of Science and Technology | Landsat, Sentinel / Copernicus | | 2026-10-15 | [Metropolis-scale resilient and trustworthy traffic flow inference using multi-source data](https://doi.org/10.1016/j.trc.2026.106083) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Qishen Zhou, Yifan Zhang, Michail Makridis et al. | Jilin University; City University of Hong Kong; City University of Hong Kong (Dongguan); … | OpenStreetMap | | 2026-10-10 | [Too little too late? Nationwide carbon trading in China](https://doi.org/10.1016/j.jpubeco.2026.105798) | [Journal of Public Economics](https://scholar4ai.com/journals/journal-of-public-economics.md) | Shuang Zhang, Douglas Almond | Centre for Economic Policy Research; Imperial College London; National Bureau of Economic Research; … | Landsat | | 2026-10-09 | [The impact of regional economic growth pressure on CSR disclosure: Evidence from China](https://doi.org/10.1016/j.iref.2026.105959) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Huahong Yan, Mingxuan Zhu, Jing Liu et al. | Capital University of Economics and Business; Shanxi University of Finance and Economics | Night-time lights (VIIRS, DMSP) | | 2026-10-07 | [Next job: Matera. How tourism and spotlight shape the local labour market](https://doi.org/10.1016/j.regsciurbeco.2026.104289) | [Regional Science and Urban Economics](https://scholar4ai.com/journals/regional-science-and-urban-economics.md) | Luca Favero, Ilaria Malisan | Collegio Carlo Alberto; University of St Andrews; Bocconi University | Night-time lights (VIIRS, DMSP) | | 2026-10-06 | [Regional heterogeneity in the relationship between temperature and household electricity consumption across rural South Africa](https://doi.org/10.1016/j.jup.2026.102348) | [Utilities Policy](https://scholar4ai.com/journals/utilities-policy.md) | Yuxiang Ye, Saien Moodley, Steven F. Koch | University of the Witwatersrand; University of Pretoria | Night-time lights (VIIRS, DMSP) | | 2026-10-01 | [Optimization under uncertainty for energy infrastructure planning: A synthesis of methods, tools, and open challenges](https://doi.org/10.1016/j.ejor.2026.10.008) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Rahman Khorramfar, Aron Brenner, Lara Booth et al. | Massachusetts Institute of Technology | MODIS | | 2026-09-29 | [Probabilistic electricity demand forecasting for Türkiye's 2035 energy plan: A risk-based framework for policy and capacity planning](https://doi.org/10.1016/j.jup.2026.102351) | [Utilities Policy](https://scholar4ai.com/journals/utilities-policy.md) | Atasoy Durukan, Murat Demir | Milli Savunma Üniversitesi; Bakırçay Üniversitesi | Night-time lights (VIIRS, DMSP) | | 2026-09-28 | [Regional climate risk assessment from climate models using probabilistic machine learning](https://doi.org/10.1038/s42256-026-01308-7) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Zhong Yi Wan, Ignacio Lopez‐Gomez, Robert W. Carver et al. | Google (United States); California Institute of Technology; General Motors (United States); … | Sentinel / Copernicus | ## Cite this page Scholar4AI. (2026). Satellite and geospatial data. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/satellite-and-geospatial-data ```bibtex @misc{scholar4ai-datasets-satellite-and-geospatial-data, author = {{Scholar4AI}}, title = {Satellite and geospatial data}, year = {2026}, howpublished = {\url{https://scholar4ai.com/datasets/satellite-and-geospatial-data}}, urldate = {2026-10-26}, note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).