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
2015-10-05 10:16:03	ga_s2am_ard_3-2-1_53HQB_2015-10-05_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_54KTG_2016-05-31_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KVU_2016-07-08_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JFP_2016-08-12_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50HMK_2016-09-09_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52LGL_2016-12-23_final.stac-item
2016-12-31 10:20:29	ga_s2am_ard_3-2-1_54JVM_2016-12-31_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JMT_2017-02-16_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_50KKB_2017-05-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JXG_2017-08-13_final.stac-item
2017-10-30 10:27:07	ga_s2am_ard_3-2-1_53KQV_2017-10-30_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JVM_2017-11-07_final.stac-item
2017-11-26 10:26:32	ga_s2am_ard_3-2-1_53HQC_2017-11-26_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-04-15_final.stac-item
2018-04-25 10:23:34	ga_s2am_ard_3-2-1_54JUR_2018-04-25_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53KRP_2018-04-28_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52KBB_2018-05-03_final.stac-item
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_53JQJ_2018-07-27_final.stac-item
2018-08-18 11:07:12	ga_s2am_ard_3-2-1_52LEJ_2018-08-18_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KXR_2018-08-21_final.stac-item
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_52KBB_2018-08-31_final.stac-item
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_52KCD_2018-10-10_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51HUC_2018-10-13_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KNC_2018-11-01_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVT_2018-11-02_final.stac-item
2018-11-22 11:33:49	ga_s2am_ard_3-2-1_51KWQ_2018-11-22_final.stac-item
2018-12-04 10:31:41	ga_s2am_ard_3-2-1_53KRB_2018-12-04_final
2018-12-17 10:45:49	ga_s2am_ard_3-2-1_53JKF_2018-12-17_final.stac-item
2019-01-11 11:32:24	ga_s2am_ard_3-2-1_51KWA_2019-01-11_final.stac-item
2019-01-20 10:23:54	ga_s2am_ard_3-2-1_54JVT_2019-01-20_final.stac-item
2019-04-08 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2019-04-08_final.stac-item
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final.stac-item
2019-07-17 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2019-07-17_final.stac-item
2019-08-08 10:24:31	ga_s2am_ard_3-2-1_54JVR_2019-08-08_final.stac-item
2019-08-23 11:12:55	ga_s2am_ard_3-2-1_52KCD_2019-08-23_final.stac-item
2019-09-07 10:26:40	ga_s2am_ard_3-2-1_53HNC_2019-09-07_final.stac-item
2019-09-27 10:24:17	ga_s2am_ard_3-2-1_54JUS_2019-09-27_final.stac-item
2019-09-28 11:34:12	ga_s2am_ard_3-2-1_51KWP_2019-09-28_final.stac-item
2019-12-31 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2019-12-31_final.stac-item
2020-02-01 10:14:38	ga_s2am_ard_3-2-1_54JVQ_2020-02-01_final.stac-item
2020-02-10 10:40:46	ga_s2am_ard_3-2-1_53LPF_2020-02-10_final.stac-item
2020-02-14 10:26:54	ga_s2am_ard_3-2-1_53HQA_2020-02-14_final.stac-item
2020-02-20 10:44:04	ga_s2am_ard_3-2-1_53JMN_2020-02-20_final.stac-item
2020-02-26 11:02:57	ga_s2am_ard_3-2-1_52KFC_2020-02-26_final.stac-item
2020-03-05 10:25:31	ga_s2am_ard_3-2-1_54JVL_2020-03-05_final.stac-item
2020-04-24 10:26:09	ga_s2am_ard_3-2-1_53HPE_2020-04-24_final.stac-item
2020-04-30 10:43:58	ga_s2am_ard_3-2-1_53KMP_2020-04-30_final.stac-item
2020-05-24 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-05-24_final.stac-item
2020-07-06 10:36:55	ga_s2am_ard_3-2-1_53HNB_2020-07-06_final.stac-item
2020-08-30 11:25:47	ga_s2am_ard_3-2-1_51JWH_2020-08-30_final.stac-item
2020-10-07 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-10-07_final.stac-item
2020-10-19 11:25:58	ga_s2am_ard_3-2-1_51JXG_2020-10-19_final.stac-item
2020-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2020-11-11_final.stac-item
2020-11-12 11:01:16	ga_s2am_ard_3-2-1_53LKE_2020-11-12_final.stac-item
2021-01-06 11:54:14	ga_s2am_ard_3-2-1_50KQU_2021-01-06_final.stac-item
2021-01-22 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-22_final.stac-item
2021-02-19 11:34:46	ga_s2am_ard_3-2-1_50JRS_2021-02-19_final.stac-item
2021-05-17 11:21:59	ga_s2am_ard_3-2-1_51LYC_2021-05-17_final.stac-item
2021-05-17 11:23:35	ga_s2am_ard_3-2-1_52KBA_2021-05-17_final.stac-item
2021-05-29 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-05-29_final.stac-item
2021-06-23 11:15:23	ga_s2am_ard_3-2-1_52JBP_2021-06-23_final.stac-item
2021-06-29 11:34:45	ga_s2am_ard_3-2-1_50JRS_2021-06-29_final.stac-item
2021-06-30 11:04:23	ga_s2am_ard_3-2-1_52JDT_2021-06-30_final.stac-item
2021-08-02 11:13:04	ga_s2am_ard_3-2-1_52KEC_2021-08-02_final.stac-item
2021-08-18 11:32:24	ga_s2am_ard_3-2-1_51KYA_2021-08-18_final.stac-item
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final.stac-item
2021-09-06 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-09-06_final.stac-item
2021-10-06 10:24:45	ga_s2am_ard_3-2-1_53JQL_2021-10-06_final.stac-item
2021-11-11 10:44:41	ga_s2am_ard_3-2-1_53JML_2021-11-11_final.stac-item
2022-02-24 09:58:08	ga_s2am_ard_3-2-1_54GYA_2022-02-24_final.stac-item
2022-04-27 10:34:23	ga_s2am_ard_3-2-1_53JQM_2022-04-27_final.stac-item
2022-06-02 10:53:21	ga_s2am_ard_3-2-1_53KKS_2022-06-02_final.stac-item
2022-06-16 12:15:11	ga_s2am_ard_3-2-1_49JFM_2022-06-16_final.stac-item
2022-07-21 11:25:35	ga_s2am_ard_3-2-1_51JXJ_2022-07-21_final.stac-item
2022-07-25 11:03:27	ga_s2am_ard_3-2-1_52KFB_2022-07-25_final.stac-item
2022-09-02 11:32:31	ga_s2am_ard_3-2-1_51KVB_2022-09-02_final.stac-item
2022-09-30 10:54:55	ga_s2am_ard_3-2-1_52JFR_2022-09-30_final.stac-item
2022-10-06 11:15:36	ga_s2am_ard_3-2-1_51JXJ_2022-10-06_final.stac-item
2022-11-26 10:43:08	ga_s2am_ard_3-2-1_53KNS_2022-11-26_final.stac-item
2022-12-30 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-12-30_final.stac-item
2023-01-08 10:52:43	ga_s2am_ard_3-2-1_52KHD_2023-01-08_final.stac-item
2023-02-19 11:33:10	ga_s2am_ard_3-2-1_51KWT_2023-02-19_final
2023-03-30 10:26:34	ga_s2am_ard_3-2-1_53HPC_2023-03-30_final
2023-04-19 10:24:11	ga_s2am_ard_3-2-1_54JVS_2023-04-19_final
2023-05-20 11:35:58	ga_s2am_ard_3-2-1_51JVG_2023-05-20_final
2023-06-05 10:17:18	ga_s2am_ard_3-2-1_54HUE_2023-06-05_final
2023-06-18 10:22:17	ga_s2am_ard_3-2-1_54KWE_2023-06-18_final
2023-06-30 11:05:24	ga_s2am_ard_3-2-1_52JDP_2023-06-30_final
2023-08-10 10:34:51	ga_s2am_ard_3-2-1_53JQK_2023-08-10_final
2023-08-20 10:35:44	ga_s2am_ard_3-2-1_53JNG_2023-08-20_final
2023-10-26 12:03:23	ga_s2am_ard_3-2-1_50KMC_2023-10-26_final
2023-12-11 10:41:29	ga_s2am_ard_3-2-1_53LQC_2023-12-11_final
2023-12-12 10:16:16	ga_s2am_ard_3-2-1_54HTJ_2023-12-12_final
2023-12-20 11:13:10	ga_s2am_ard_3-2-1_52KBC_2023-12-20_final
2024-02-24 09:56:37	ga_s2am_ard_3-2-1_54HYG_2024-02-24_final
2024-03-24 10:26:51	ga_s2am_ard_3-2-1_53HPB_2024-03-24_final
2024-03-28 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-28_final
2024-04-13 10:24:06	ga_s2am_ard_3-2-1_53JRN_2024-04-13_final
2024-04-16 10:33:34	ga_s2am_ard_3-2-1_54KTV_2024-04-16_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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