Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.

GET /api/v3/onlineresources/?format=api&offset=77700
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/snow/snow-key-documents/",
            "name": "ESA CCI Snow key documents",
            "relatedTo": {
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                "uuid": "e955813b0e1a4eb7af971f923010b4a3",
                "short_code": "ob"
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/snow",
            "name": "ESA CCI Snow project website",
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                "uuid": "e955813b0e1a4eb7af971f923010b4a3",
                "short_code": "ob"
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            "function": "documentation",
            "linkage": "http://dx.doi.org/10.5067/MODIS/MOD021KM.006",
            "name": "MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS):  MOD021KM",
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                "uuid": "e955813b0e1a4eb7af971f923010b4a3",
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            "function": "documentation",
            "linkage": "https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c",
            "name": "ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021",
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            "name": "Salminen, M., Pulliainen, J., Metsämäki, S., Ikonen, J., Heinilä, K. (2018). Determination of uncertainty characteristics for the satellite-based estimation of fractional snow cover. Remote Sensing Environ., 212, 103-113. https://doi.org/10.1016/j.rse.2018.04.038",
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            "name": "Product User Guide",
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            "function": "documentation",
            "linkage": "https://climate.esa.int",
            "name": "ESA Climate Change Initiative Website",
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                "uuid": "e955813b0e1a4eb7af971f923010b4a3",
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            "name": "Anonymous ftp download for ESA CCI data",
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/cloud/key-documents",
            "name": "Cloud CCI v3.0 documents",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5194/tc-15-4261-2021",
            "name": "Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications",
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            "name": "Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53.  Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest",
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            "linkage": "https://climate.esa.int",
            "name": "ESA Climate Change Initiative website",
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/snow/",
            "name": "ESA CCI Snow project website",
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            "name": "ESA CCI Snow key documents",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5194/essd-12-41-2020",
            "name": "Stengel, M. et al. Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties. Earth Syst. Sci. Data 12, 41–60 (2020).",
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            "function": "documentation",
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            "name": "Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).",
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            "function": "documentation",
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            "name": "Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.",
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            "function": "dataService",
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            "name": "Anonymous ftp download for ESA CCI data",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5194/tc-15-4261-2021",
            "name": "Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications",
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            "function": "documentation",
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/snow/",
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            "function": "documentation",
            "linkage": "https://climate.esa.int",
            "name": "ESA Climate Change Initiative website",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5194/essd-12-41-2020",
            "name": "Stengel, M. et al. Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties. Earth Syst. Sci. Data 12, 41–60 (2020).",
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            "name": "Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).",
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            "name": "Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.",
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            "function": "documentation",
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            "name": "Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53.  Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest",
            "relatedTo": {
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            "function": "documentation",
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            "name": "Product User Guide",
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            "name": "Impact of dynamic snow density on Globsnow snow water equivalent retrieval accuracy. DOI: 10.5194/tc-15-2969-2021",
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            "name": "Salminen, M., Pulliainen, J., Metsämäki, S., Ikonen, J., Heinilä, K. (2018). Determination of uncertainty characteristics for the satellite-based estimation of fractional snow cover. Remote Sensing Environ., 212, 103-113. https://doi.org/10.1016/j.rse.2018.04.038",
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            "name": "Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108",
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