Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) India data collection. The data collection, and specific data set (if known), being cited are beneath each citation. Citations to multiple collections/sets are listed on separate lines. If a publication cites remotely sensed earth observation data, whether from NASA or another source, those instruments and/or platforms are listed as well.
List last updated on 3 October 2023.

Babu, K. N., Gour, R., Ayushi, K., Ayyappan, N., & Parthasarathy, N. (2023). Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach. Forest Ecology and Management, 540, 121057. doi:10.1016/j.foreco.2023.121057
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ
REMOTE SENSING (Landsat) from GEE
REMOTE SENSING (Sentinel-2)
REMOTE SENSING (VIIRS NTL)

Babu, K. N., Mandyam, S., Jetty, S., Dar, A. A., Ayushi, K., Narayanan, A., . . . Narayanaswamy, P. (2023). Carbon stocks of tree plantations in a Western Ghats landscape, India: influencing factors and management implications. Environmental Monitoring and Assessment, 195(3), 404. doi:10.1007/s10661-023-10964-w
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ

Bal, M., Das, A., Ghosal, J., Pradhan, M. M., Khuntia, H. K., Pati, S., . . . Ranjit, M. (2020). Assessment of effectiveness of DAMaN: A malaria intervention program initiated by Government of Odisha, India. PLoS ONE, 15(9), e0238323. doi:10.1371/journal.pone.0238323
India Data Collection (Spatial Data from the 2011 India Census, v1) - 10.7927/gya1-wp91

Calel, R., Colmer, J., Dechezleprêtre, A., & Glachant, M. (2021). Do Carbon Offsets Offset Carbon? Retrieved from Munich: https://www.cesifo.org/en/publikationen/2021/working-paper/do-carbon-offsets-offset-carbon
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Chakraborty, S., Dadashpoor, H., Novotný, J., Maity, I., Follmann, A., Patel, P. P., . . . Pramanik, S. (2022). In pursuit of sustainability – Spatio-temporal pathways of urban growth patterns in the world's largest megacities. Cities, 131, 103919. doi:10.1016/j.cities.2022.103919
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)
REMOTE SENSING (Landsat)

Chatterjee, S., & Sarkar, K. (2022). Appraisal of urban–rural disparities in access to health care facilities and exposure to health risk factors: A case study of Durgapur Industrial region, India. GeoJournal, 87(5), 4007-4024. doi:10.1007/s10708-021-10480-9
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Das, S. (2020). Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP). Remote Sensing Applications: Society and Environment, 20, 100379. doi:10.1016/j.rsase.2020.100379
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)
NASA REMOTE SENSING (SRTM)

Dhar, T., Bhatta, B., & Aravindan, S. (2023). Forest fire occurrence, distribution and risk mapping using geoinformation technology: A case study in the sub-tropical forest of the Meghalaya, India. Remote Sensing Applications: Society and Environment, 29, 100883. doi:10.1016/j.rsase.2022.100883
India Data Collection (Spatial Data from the 2011 India Census, v1) - 10.7927/gya1-wp91
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Sentinel-2 Multispectral Imager (MSI))

Dharmarajan, G., Gupta, P., Vishnudas, C. K., & Robin, V. V. (2021). Anthropogenic disturbance favours generalist over specialist parasites in bird communities: Implications for risk of disease emergence. Ecology Letters, 24(9), 1859-1868. doi:10.1111/ele.13818
India Data Collection (Spatial Data from the 2011 India Census, v1)

Gao, X., Liang, S., & He, B. (2019). Detected global agricultural greening from satellite data. Agricultural and Forest Meteorology, 276-277, 107652. doi:10.1016/j.agrformet.2019.107652
India Data Collection (Annual Winter Cropped Area, v1) - 10.7927/H47D2S3W
NASA REMOTE SENSING (AVHRR GIMMS)
NASA REMOTE SENSING (AVHRR GLASS)

Horan, R., Rickards, N. J., Kaelin, A., Baron, H. E., Thomas, T., Keller, V. D. J., . . . Rees, G. (2021). Extending a large-scale model to better represent water resources without increasing the model’s complexity. Water, 13(21), 3067. doi:10.3390/w13213067
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)
NASA REMOTE SENSING (SRTM)

Hough, S. E., & Martin, S. S. (2021). Which earthquake accounts matter? Seismological Research Letters, 92(2A), 1069-1084. doi:10.1785/0220200366
India Data Collection (Spatial Data from the 2011 India Census, v1)

Jain, M., Fishman, R., Mondal, P., Galford, G. L., Bhattarai, N., Naeem, S., . . . DeFries, R. S. (2021). Groundwater depletion will reduce cropping intensity in India. Science Advances, 7(9), eabd2849. doi:10.1126/sciadv.abd2849
India Data Collection (Annual Winter Cropped Area, v1)
NASA REMOTE SENSING (MODIS)

Kundu, A., Mukhopadhyay, S., & Panja, S. (2022). An integrated assessment of flood risk using geospatial and multi-criteria based analysis: A case study from Mayurakshi River Basin, India. In A. Islam, P. Das, S. Ghosh, A. Mukhopadhyay, A. Das Gupta, & A. Kumar Singh (Eds.), Fluvial Systems in the Anthropocene: Process, Response and Modelling (pp. 125-154). Cham: Springer International Publishing.
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Kuttippurath, J., Patel, V. K., Pathak, M., & Singh, A. (2022). Improvements in SO2 pollution in India: role of technology and environmental regulations. Environmental Science and Pollution Research, 29, 78637-78649. doi:10.1007/s11356-022-21319-2
India Data Collection (Spatial Data from the 2011 India Census, v1)
NASA REMOTE SENSING (MODIS)

Malviya, M., & Krishnamurthy, R. (2022). Multiscale spatially explicit modelling of livestock depredation by reintroduced tiger (Panthera tigris) to predict conflict risk probability. Global Ecology and Conservation, 40, e02313. doi:10.1016/j.gecco.2022.e02313
India Data Collection (Spatial Data from the 2011 India Census, v1) - 10.7927/gya1-wp91
Last of the Wild v3 (Human Footprint, 2018 Release (2009)) - 10.7927/H46T0JQ4
NASA REMOTE SENSING (ASTER GDEM)
REMOTE SENSING (Landsat)

Mondal, P., DeFries, R. S., Clark, J., Flowerhill, N., Arif, M., Harou, A., . . . Fanzo, J. (2021). Multiple cropping alone does not improve year-round food security among smallholders in rural India. Environmental Research Letters, 16(6), 065017. doi:10.1088/1748-9326/ac05ee
India Data Collection (Annual Winter Cropped Area, v1) - 10.7927/H47D2S3W

Nair, A. S., & Indu, J. (2019). Improvement of land surface model simulations over India via data assimilation of satellite-based soil moisture products. Journal of Hydrology, 573, 406-421. doi:10.1016/j.jhydrol.2019.03.088
India Data Collection (Annual Winter Cropped Area, v1) - 10.7927/H47D2S3W
REMOTE SENSING (Advanced Scatterometer (ASCAT))
REMOTE SENSING (Soil Moisture and Ocean Salinity (SMOS))

Neog, B. J. (2022). Temperature shocks and rural labour markets: evidence from India. Climatic Change, 171(1), 16. doi:10.1007/s10584-022-03334-x
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Niyogi, R., Sarkar, M. S., Hazra, P., Rahman, M., Banerjee, S., & John, R. (2021). Habitat connectivity for the conservation of small ungulates in a human-dominated landscape. ISPRS International Journal of Geo-Information, 10(3), 180. doi:10.3390/ijgi10030180
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)
NASA REMOTE SENSING (ASTER GDEM)
REMOTE SENSING (Landsat)

Niyogi, R., Shekhar Sarkar, M., Shekhar Niyogi, V., Hazra, P., & John, R. (2022). Habitat connectivity for conserving cervids in a multifunctional landscape. Journal for Nature Conservation, 68, 126212. doi:10.1016/j.jnc.2022.126212
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ

Novotný, J., Chakraborty, S., & Maity, I. (2022). Urban expansion of the 43 worlds’ largest megacities: A search for unified macro-patterns. Habitat International, 129, 102676. doi:10.1016/j.habitatint.2022.102676
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Onda, K., Sinha, P., Gaughan, A. E., Stevens, F. R., & Kaza, N. (2019). Missing millions: undercounting urbanization in India. Population and Environment, 41(2), 126-150. doi:10.1007/s11111-019-00329-2
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (MERIS GlobCover)

Pal, R., Sutherland, C., Qureshi, Q., & Sathyakumar, S. (2022). Landscape connectivity and population density of snow leopards across a multi-use landscape in Western Himalaya. Animal Conservation, 25(3), 414-426. doi:10.1111/acv.12754
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ

Palmer-Jones, R. (2022). What should we say of Dams who mainly ‘metrics’ mastered? The impact of ‘Dams’. Retrieved from Manchester, UK: https://hummedia.manchester.ac.uk/institutes/gdi/publications/workingpapers/futuredams/futuredams-working-paper-022-jones.pdf
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ
NASA REMOTE SENSING (MODIS)

Sekharan, N., Kurian, M., & Jawahar Saud, S. (2022). Drought Intensity Mapping of Kannur District, Kerala, India. Paper presented at the SECON 2021.
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1)

Sharma, A., Venkataraman, C., Muduchuru, K., Singh, V., Kesarkar, A., Ghosh, S., & Dey, S. (2023). Aerosol radiative feedback enhances particulate pollution over India: A process understanding. Atmospheric Environment, 298, 119609. doi:10.1016/j.atmosenv.2023.119609
India Data Collection (Spatial Data from the 2011 India Census, v1)
NASA REMOTE SENSING (CERES)
NASA REMOTE SENSING (MISR)
NASA REMOTE SENSING (MODIS)

Singh, G., & Pandey, A. (2021). Flash flood vulnerability assessment and zonation through an integrated approach in the Upper Ganga Basin of the Northwest Himalayan region in Uttarakhand. International Journal of Disaster Risk Reduction, 66, 102573. doi:10.1016/j.ijdrr.2021.102573
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (Landsat)

Singh, G., Soman, B., & Grover, G. S. (2023). Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India. Ecological Informatics, 75, 102020. doi:10.1016/j.ecoinf.2023.102020
India Data Collection (Spatial Data from the 2011 India Census, v1)

Subramanyam, N. (2020). A small improvement: small cities lag in expanding household water coverage across urban India. Water Policy, 22(3), 468-482. doi:10.2166/wp.2020.116
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ

Sylvia, C., & Sharma, R. K. (2023). Human-wildlife conflict in the western Himalaya: A systematic review of research and conservation interventions implemented over three decades. In S. Sharma, J. C. Kuniyal, P. Chand, & P. Singh (Eds.), Climate Change Adaptation, Risk Management and Sustainable Practices in the Himalaya (pp. 281-335). Cham: Springer International Publishing.
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ

Taal, A. T., Garg, A., Lisam, S., Agarwal, A., Barreto, J. G., van Brakel, W. H., . . . Blok, D. J. (2022). Identifying clusters of leprosy patients in India: A comparison of methods. PLoS Neglected Tropical Diseases, 16(12), e0010972. doi:10.1371/journal.pntd.0010972
India Data Collection (Village-Level Geospatial Socio-Economic Data Set, v1) - 10.7927/H4CN71ZJ