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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYH_2015-11-25_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JYM_2016-05-30_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KNA_2016-06-04_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51JTH_2016-06-18_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPH_2016-09-26_final.stac-item
2016-10-04 11:05:00	ga_s2am_ard_3-2-1_51HYD_2016-10-04_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51KZP_2016-12-06_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51LVC_2016-12-25_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KMC_2017-06-19_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51KZR_2017-09-15_final.stac-item
2017-10-12 11:12:00	ga_s2am_ard_3-2-1_51KZR_2017-10-12_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYP_2018-02-02_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVK_2018-02-25_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JXH_2018-03-04_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JZM_2018-03-11_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KYT_2018-04-26_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KMU_2018-05-25_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50JQP_2018-05-26_final.stac-item
2018-08-11 11:25:57	ga_s2am_ard_3-2-1_51JUG_2018-08-11_final.stac-item
2018-11-15 11:43:06	ga_s2am_ard_3-2-1_51KUT_2018-11-15_final.stac-item
2018-12-01 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2018-12-01_final.stac-item
2019-01-05 11:16:17	ga_s2am_ard_3-2-1_51HYE_2019-01-05_final.stac-item
2019-04-10 12:04:08	ga_s2am_ard_3-2-1_50KKV_2019-04-10_final.stac-item
2019-06-20 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-06-20_final.stac-item
2019-07-13 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2019-07-13_final.stac-item
2019-09-11 11:47:08	ga_s2am_ard_3-2-1_50HMH_2019-09-11_final.stac-item
2019-10-11 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-10-11_final.stac-item
2019-10-17 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-10-17_final.stac-item
2019-11-24 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2019-11-24_final.stac-item
2019-12-04 11:22:39	ga_s2am_ard_3-2-1_51KYV_2019-12-04_final.stac-item
2019-12-14 11:23:02	ga_s2am_ard_3-2-1_51KZT_2019-12-14_final.stac-item
2020-01-03 11:25:40	ga_s2am_ard_3-2-1_51JVH_2020-01-03_final.stac-item
2020-01-06 11:32:56	ga_s2am_ard_3-2-1_51KVU_2020-01-06_final.stac-item
2020-01-15 12:05:58	ga_s2am_ard_3-2-1_50JLM_2020-01-15_final.stac-item
2020-02-12 11:22:45	ga_s2am_ard_3-2-1_51KZU_2020-02-12_final.stac-item
2020-04-02 11:26:10	ga_s2am_ard_3-2-1_51JVF_2020-04-02_final.stac-item
2020-08-10 11:24:17	ga_s2am_ard_3-2-1_51KXP_2020-08-10_final.stac-item
2020-08-10 11:25:05	ga_s2am_ard_3-2-1_51JWL_2020-08-10_final.stac-item
2020-08-15 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-08-15_final.stac-item
2020-08-30 11:23:40	ga_s2am_ard_3-2-1_51KZR_2020-08-30_final.stac-item
2020-09-25 11:43:23	ga_s2am_ard_3-2-1_51KTT_2020-09-25_final.stac-item
2020-10-11 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-10-11_final.stac-item
2020-11-04 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-11-04_final.stac-item
2020-11-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2020-11-20_final.stac-item
2020-12-11 11:35:27	ga_s2am_ard_3-2-1_51JUJ_2020-12-11_final.stac-item
2020-12-15 11:16:38	ga_s2am_ard_3-2-1_51HXD_2020-12-15_final.stac-item
2020-12-21 11:32:45	ga_s2am_ard_3-2-1_51KVV_2020-12-21_final.stac-item
2021-01-23 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-01-23_final.stac-item
2021-02-02 11:46:15	ga_s2am_ard_3-2-1_50JQL_2021-02-02_final.stac-item
2021-02-12 11:44:18	ga_s2am_ard_3-2-1_50KQU_2021-02-12_final.stac-item
2021-03-14 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-03-14_final.stac-item
2021-04-30 11:35:45	ga_s2am_ard_3-2-1_51JTH_2021-04-30_final.stac-item
2021-05-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-05-22_final.stac-item
2021-07-13 11:16:44	ga_s2am_ard_3-2-1_51HXD_2021-07-13_final.stac-item
2021-07-19 11:35:04	ga_s2am_ard_3-2-1_51JUL_2021-07-19_final.stac-item
2021-08-01 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-08-01_final.stac-item
2021-08-18 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-08-18_final.stac-item
2021-08-28 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-08-28_final.stac-item
2021-09-24 11:27:02	ga_s2am_ard_3-2-1_51HVC_2021-09-24_final.stac-item
2021-12-26 11:33:10	ga_s2am_ard_3-2-1_51KXT_2021-12-26_final.stac-item
2022-01-08 11:41:57	ga_s2am_ard_3-2-1_51LWC_2022-01-08_final.stac-item
2022-01-12 11:23:26	ga_s2am_ard_3-2-1_51KYS_2022-01-12_final.stac-item
2022-01-15 11:32:37	ga_s2am_ard_3-2-1_51KYV_2022-01-15_final.stac-item
2022-01-28 11:42:09	ga_s2am_ard_3-2-1_51KWB_2022-01-28_final.stac-item
2022-02-27 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-02-27_final.stac-item
2022-03-08 12:13:58	ga_s2am_ard_3-2-1_50KKA_2022-03-08_final.stac-item
2022-06-03 12:06:12	ga_s2am_ard_3-2-1_50JLM_2022-06-03_final.stac-item
2022-06-13 12:06:20	ga_s2am_ard_3-2-1_50JKM_2022-06-13_final.stac-item
2022-06-14 11:34:47	ga_s2am_ard_3-2-1_50JRT_2022-06-14_final.stac-item
2022-06-17 11:45:14	ga_s2am_ard_3-2-1_50JQR_2022-06-17_final.stac-item
2022-06-21 11:22:11	ga_s2am_ard_3-2-1_51LYC_2022-06-21_final.stac-item
2022-07-17 11:46:20	ga_s2am_ard_3-2-1_50JNM_2022-07-17_final.stac-item
2022-07-18 11:16:34	ga_s2am_ard_3-2-1_51HYE_2022-07-18_final.stac-item
2022-09-05 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-09-05_final.stac-item
2022-09-18 11:56:08	ga_s2am_ard_3-2-1_50JKN_2022-09-18_final.stac-item
2022-10-02 11:35:48	ga_s2am_ard_3-2-1_51JVH_2022-10-02_final.stac-item
2022-12-14 13:21:44	ga_s2am_ard_3-2-1_47LKG_2022-12-14_interim
2022-12-30 12:06:09	ga_s2am_ard_3-2-1_50JKM_2022-12-30_final.stac-item
2023-01-07 11:26:39	ga_s2am_ard_3-2-1_51HWD_2023-01-07_final.stac-item
2023-01-27 11:25:36	ga_s2am_ard_3-2-1_51JXH_2023-01-27_final.stac-item
2023-02-15 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-02-15_nrt.stac-item
2023-02-22 11:41:53	ga_s2am_ard_3-2-1_51LWC_2023-02-22_nrt.stac-item
2023-02-25 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-02-25_final
2023-03-31 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-03-31_final
2023-04-13 11:44:23	ga_s2am_ard_3-2-1_50KPU_2023-04-13_final
2023-04-16 11:56:25	ga_s2am_ard_3-2-1_50JLL_2023-04-16_final
2023-05-10 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-05-10_final
2023-05-30 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-05-30_final
2023-06-29 11:36:36	ga_s2am_ard_3-2-1_51HTE_2023-06-29_final
2023-09-13 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-09-13_final
2024-01-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2024-01-05_final
2024-01-22 11:24:07	ga_s2am_ard_3-2-1_51KWP_2024-01-22_final
2024-01-25 11:32:05	ga_s2am_ard_3-2-1_51KXB_2024-01-25_final
2024-02-13 12:06:07	ga_s2am_ard_3-2-1_50JKM_2024-02-13_final
2024-02-24 11:36:59	ga_s2am_ard_3-2-1_51HTC_2024-02-24_final
2024-03-08 11:43:01	ga_s2am_ard_3-2-1_51KUU_2024-03-08_final
2024-03-25 11:33:46	ga_s2am_ard_3-2-1_51KVR_2024-03-25_final
2024-04-13 12:05:16	ga_s2am_ard_3-2-1_49JGL_2024-04-13_final
2024-05-01 11:26:35	ga_s2am_ard_3-2-1_51HUE_2024-05-01_final
2024-05-13 12:05:32	ga_s2am_ard_3-2-1_49JGK_2024-05-13_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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