From 3f76131203c6117a430c70e929ab3a0ecbab1b71 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Sun, 8 Oct 2023 01:19:14 +0000 Subject: [PATCH] Updated GEE STAC IDs list 2023-10-08 01:19:14 UTC --- ee_extra/data/ee-catalog-ids.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/ee_extra/data/ee-catalog-ids.json b/ee_extra/data/ee-catalog-ids.json index a332a09..39c9176 100644 --- a/ee_extra/data/ee-catalog-ids.json +++ b/ee_extra/data/ee-catalog-ids.json @@ -5838,25 +5838,25 @@ "sci:doi": "10.1016/j.ecss.2019.03.006" }, "projects/geoscience-aus-cat/assets/ga_landcover": { - "gee:type": "image", + "gee:type": "image_collection", "href": "https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_ga_landcover.json", "sci:citation": "Lucas R, Mueller N, Siggins A, Owers C, Clewley D, Bunting P, Kooymans C, Tissott B, Lewis B, Lymburner L, Metternicht G. Land Cover Mapping using Digital Earth Australia. Data. 2019; 4(4):143.\n[doi:10.3390/data4040143](https://doi.org/10.3390/data4040143).\nChristopher J. Owers, Richard M. Lucas, Daniel Clewley, Carole Planque, Suvarna Punalekar, Belle Tissott, Sean M. T. Chua, Pete Bunting, Norman Mueller & Graciela Metternicht (2021) Living Earth: Implementing national standardised land cover classification systems for Earth Observation in support of sustainable development, Big Earth Data, 5:3, 368-390.\n[doi:10.1080/20964471.2021.1948179](https://doi.org/10.1080/20964471.2021.1948179).\n", "sci:doi": "10.3390/data4040143" }, "projects/geoscience-aus-cat/assets/geomedians_LS5": { - "gee:type": "image", + "gee:type": "image_collection", "href": "https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_geomedians_LS5.json", "sci:citation": "Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264.\n[doi:10.1109/TGRS.2017.2723896](https://doi.org/10.1109/TGRS.2017.2723896).\nRoberts, D., Dunn, B., & Mueller, N. (2018). Open data cube products using high-dimensional statistics of time series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 8647-8650.\n[doi:10.1109/IGARSS.2018.8518312](https://doi.org/10.1109/IGARSS.2018.8518312).\n", "sci:doi": "10.1109/TGRS.2017.2723896" }, "projects/geoscience-aus-cat/assets/geomedians_LS7": { - "gee:type": "image", + "gee:type": "image_collection", "href": "https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_geomedians_LS7.json", "sci:citation": "Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264.\n[doi:10.1109/TGRS.2017.2723896](https://doi.org/10.1109/TGRS.2017.2723896).\nRoberts, D., Dunn, B., & Mueller, N. (2018). Open data cube products using high-dimensional statistics of time series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 8647-8650.\n[doi:10.1109/IGARSS.2018.8518312](https://doi.org/10.1109/IGARSS.2018.8518312).\n", "sci:doi": "10.1109/TGRS.2017.2723896" }, "projects/geoscience-aus-cat/assets/geomedians_LS8": { - "gee:type": "image", + "gee:type": "image_collection", "href": "https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_geomedians_LS8.json", "sci:citation": "Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264.\n[doi:10.1109/TGRS.2017.2723896](https://doi.org/10.1109/TGRS.2017.2723896).\nRoberts, D., Dunn, B., & Mueller, N. (2018). Open data cube products using high-dimensional statistics of time series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 8647-8650.\n[doi:10.1109/IGARSS.2018.8518312](https://doi.org/10.1109/IGARSS.2018.8518312).\n", "sci:doi": "10.1109/TGRS.2017.2723896"