Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQP_2016-06-05_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54HTJ_2016-07-31_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KQC_2016-09-26_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JPM_2016-12-14_final.stac-item
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGN_2017-04-09_final.stac-item
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JKF_2017-05-26_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KBC_2017-06-14_final.stac-item
2017-11-28 10:57:11	ga_s2am_ard_3-2-1_52KGB_2017-11-28_final.stac-item
2017-12-16 10:26:32	ga_s2am_ard_3-2-1_53HQA_2017-12-16_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KUU_2018-01-19_final.stac-item
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_54HUH_2018-05-22_final.stac-item
2018-05-31 10:37:28	ga_s2am_ard_3-2-1_53LPF_2018-05-31_final.stac-item
2018-06-07 10:27:08	ga_s2am_ard_3-2-1_53KPP_2018-06-07_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HLH_2018-08-17_final.stac-item
2018-09-04 10:57:14	ga_s2am_ard_3-2-1_51HYD_2018-09-04_final.stac-item
2019-01-18 11:24:00	ga_s2am_ard_3-2-1_51KZP_2019-01-18_final.stac-item
2019-01-19 10:55:35	ga_s2am_ard_3-2-1_53JKG_2019-01-19_final.stac-item
2019-03-15 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-03-15_final.stac-item
2019-04-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2019-04-01_final.stac-item
2019-04-30 10:26:05	ga_s2am_ard_3-2-1_54HTK_2019-04-30_final.stac-item
2019-05-20 10:24:22	ga_s2am_ard_3-2-1_53JRM_2019-05-20_final.stac-item
2019-06-07 11:22:58	ga_s2am_ard_3-2-1_51KYU_2019-06-07_final.stac-item
2019-06-30 11:33:35	ga_s2am_ard_3-2-1_51KVS_2019-06-30_final.stac-item
2019-07-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2019-07-10_final.stac-item
2019-07-14 11:13:20	ga_s2am_ard_3-2-1_52KEB_2019-07-14_final.stac-item
2019-08-01 10:34:19	ga_s2am_ard_3-2-1_53JRM_2019-08-01_final.stac-item
2019-11-27 11:32:19	ga_s2am_ard_3-2-1_51KVB_2019-11-27_final.stac-item
2019-11-29 10:33:52	ga_s2am_ard_3-2-1_53KPP_2019-11-29_final.stac-item
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_50KKA_2019-12-29_final.stac-item
2020-01-10 11:15:27	ga_s2am_ard_3-2-1_52JCN_2020-01-10_final.stac-item
2020-02-02 11:21:31	ga_s2am_ard_3-2-1_52LBJ_2020-02-02_final.stac-item
2020-02-02 11:21:45	ga_s2am_ard_3-2-1_52LBH_2020-02-02_final.stac-item
2020-06-01 11:23:56	ga_s2am_ard_3-2-1_52KBV_2020-06-01_final.stac-item
2020-07-21 11:24:49	ga_s2am_ard_3-2-1_52JBR_2020-07-21_final.stac-item
2020-09-16 11:15:47	ga_s2am_ard_3-2-1_51JXH_2020-09-16_final.stac-item
2020-11-15 11:13:33	ga_s2am_ard_3-2-1_52KEA_2020-11-15_final.stac-item
2020-11-16 10:43:29	ga_s2am_ard_3-2-1_53KMR_2020-11-16_final.stac-item
2020-11-24 11:42:58	ga_s2am_ard_3-2-1_51KVU_2020-11-24_final.stac-item
2020-12-05 11:14:04	ga_s2am_ard_3-2-1_52KCU_2020-12-05_final.stac-item
2020-12-11 11:32:29	ga_s2am_ard_3-2-1_51KVA_2020-12-11_final.stac-item
2020-12-12 11:05:55	ga_s2am_ard_3-2-1_52JBM_2020-12-12_final.stac-item
2021-01-09 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-01-09_final.stac-item
2021-01-20 11:31:54	ga_s2am_ard_3-2-1_51LYC_2021-01-20_final.stac-item
2021-01-24 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-01-24_final.stac-item
2021-02-10 11:04:05	ga_s2am_ard_3-2-1_52KDU_2021-02-10_final.stac-item
2021-02-15 10:16:20	ga_s2am_ard_3-2-1_54HTJ_2021-02-15_final.stac-item
2021-03-04 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-03-04_final.stac-item
2021-03-12 11:04:06	ga_s2am_ard_3-2-1_52KDU_2021-03-12_final.stac-item
2021-03-18 11:21:58	ga_s2am_ard_3-2-1_51LYC_2021-03-18_final.stac-item
2021-03-22 11:02:46	ga_s2am_ard_3-2-1_52KFD_2021-03-22_final.stac-item
2021-04-06 11:56:36	ga_s2am_ard_3-2-1_50HLK_2021-04-06_final.stac-item
2021-04-09 12:04:23	ga_s2am_ard_3-2-1_50KKU_2021-04-09_final.stac-item
2021-05-04 11:13:52	ga_s2am_ard_3-2-1_52KBV_2021-05-04_final.stac-item
2021-05-25 10:43:52	ga_s2am_ard_3-2-1_53KNP_2021-05-25_final.stac-item
2021-05-30 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-05-30_final.stac-item
2021-06-21 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-06-21_final.stac-item
2021-06-29 11:33:25	ga_s2am_ard_3-2-1_51KXS_2021-06-29_final.stac-item
2021-07-29 11:32:58	ga_s2am_ard_3-2-1_51KXU_2021-07-29_final.stac-item
2021-08-17 10:26:47	ga_s2am_ard_3-2-1_54HTG_2021-08-17_final.stac-item
2021-10-09 10:36:55	ga_s2am_ard_3-2-1_53HNB_2021-10-09_final.stac-item
2021-10-26 10:24:24	ga_s2am_ard_3-2-1_53JRM_2021-10-26_final.stac-item
2021-12-02 10:17:03	ga_s2am_ard_3-2-1_54HWE_2021-12-02_final.stac-item
2021-12-09 10:07:39	ga_s2am_ard_3-2-1_54HWC_2021-12-09_final.stac-item
2022-01-23 10:55:31	ga_s2am_ard_3-2-1_52JFN_2022-01-23_final.stac-item
2022-01-30 10:43:11	ga_s2am_ard_3-2-1_53KMS_2022-01-30_final.stac-item
2022-02-20 10:17:06	ga_s2am_ard_3-2-1_53HQA_2022-02-20_final.stac-item
2022-03-20 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-03-20_final.stac-item
2022-04-11 11:56:16	ga_s2am_ard_3-2-1_50JKM_2022-04-11_final.stac-item
2022-06-11 11:25:52	ga_s2am_ard_3-2-1_51JWH_2022-06-11_final.stac-item
2022-06-15 11:03:30	ga_s2am_ard_3-2-1_52KEB_2022-06-15_final.stac-item
2022-06-29 10:42:20	ga_s2am_ard_3-2-1_53KPA_2022-06-29_final.stac-item
2022-08-05 10:34:29	ga_s2am_ard_3-2-1_53JQM_2022-08-05_final.stac-item
2022-08-11 10:53:33	ga_s2am_ard_3-2-1_53KMR_2022-08-11_final.stac-item
2022-09-03 11:03:29	ga_s2am_ard_3-2-1_52KFB_2022-09-03_final.stac-item
2022-09-14 10:36:20	ga_s2am_ard_3-2-1_53HME_2022-09-14_final.stac-item
2022-09-24 10:34:43	ga_s2am_ard_3-2-1_53JPL_2022-09-24_final.stac-item
2022-11-09 10:56:08	ga_s2am_ard_3-2-1_52JEL_2022-11-09_final.stac-item
2022-11-12 11:00:47	ga_s2am_ard_3-2-1_53LKG_2022-11-12_final.stac-item
2022-12-13 10:34:13	ga_s2am_ard_3-2-1_53JNN_2022-12-13_final.stac-item
2022-12-24 11:43:13	ga_s2am_ard_3-2-1_51KUT_2022-12-24_final.stac-item
2022-12-31 11:33:26	ga_s2am_ard_3-2-1_51KWS_2022-12-31_final.stac-item
2023-01-12 10:33:43	ga_s2am_ard_3-2-1_53KRP_2023-01-12_final.stac-item
2023-01-13 11:42:58	ga_s2am_ard_3-2-1_51KUU_2023-01-13_final.stac-item
2023-01-27 11:26:15	ga_s2am_ard_3-2-1_51JUF_2023-01-27_final.stac-item
2023-02-15 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-02-15_nrt.stac-item
2023-02-23 11:10:48	ga_s2am_ard_3-2-1_52LGM_2023-02-23_final
2023-03-07 10:16:59	ga_s2am_ard_3-2-1_54HWE_2023-03-07_final
2023-04-06 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-04-06_final
2023-05-05 10:46:06	ga_s2am_ard_3-2-1_53HME_2023-05-05_final
2023-06-29 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-06-29_final
2023-07-04 10:42:57	ga_s2am_ard_3-2-1_53KMT_2023-07-04_final
2023-07-06 11:23:15	ga_s2am_ard_3-2-1_51KYT_2023-07-06_final
2023-07-09 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-07-09_final
2023-10-19 10:33:49	ga_s2am_ard_3-2-1_53KQP_2023-10-19_final
2023-11-13 11:23:09	ga_s2am_ard_3-2-1_51KYT_2023-11-13_final
2023-12-26 09:57:08	ga_s2am_ard_3-2-1_54HXE_2023-12-26_final
2023-12-29 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-12-29_final
2024-01-12 11:23:37	ga_s2am_ard_3-2-1_51KXR_2024-01-12_final
2024-01-30 10:44:23	ga_s2am_ard_3-2-1_53JPL_2024-01-30_final
2024-03-28 11:42:13	ga_s2am_ard_3-2-1_51KVB_2024-03-28_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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