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
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JEL_2016-01-15_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KQV_2016-02-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMU_2016-03-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGL_2016-05-15_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JLP_2016-10-02_final.stac-item
2017-03-20 10:53:07	ga_s2am_ard_3-2-1_52JGL_2017-03-20_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JXG_2017-06-14_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KVS_2017-10-11_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYD_2017-12-11_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWH_2018-01-13_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JTN_2018-02-18_final.stac-item
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYE_2018-03-01_final.stac-item
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51HWD_2018-04-10_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTK_2018-06-05_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBP_2018-06-19_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKM_2018-07-14_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-08-03_final.stac-item
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KYT_2018-08-11_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JPQ_2018-08-30_final.stac-item
2018-11-01 12:05:28	ga_s2am_ard_3-2-1_50JKN_2018-11-01_final.stac-item
2018-12-10 10:55:08	ga_s2am_ard_3-2-1_52JFP_2018-12-10_final.stac-item
2019-01-01 11:32:08	ga_s2am_ard_3-2-1_51KWB_2019-01-01_final.stac-item
2019-01-24 11:42:42	ga_s2am_ard_3-2-1_51KUV_2019-01-24_final.stac-item
2019-03-08 11:56:02	ga_s2am_ard_3-2-1_50JMM_2019-03-08_final.stac-item
2019-03-21 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-03-21_final.stac-item
2019-03-26 11:16:40	ga_s2am_ard_3-2-1_51HXD_2019-03-26_final.stac-item
2019-04-15 11:14:40	ga_s2am_ard_3-2-1_52JBS_2019-04-15_final.stac-item
2019-04-30 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-04-30_final.stac-item
2019-06-17 11:23:10	ga_s2am_ard_3-2-1_51KZT_2019-06-17_final.stac-item
2019-06-23 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-06-23_final.stac-item
2019-07-23 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-23_final.stac-item
2019-08-19 11:32:35	ga_s2am_ard_3-2-1_51KVA_2019-08-19_final.stac-item
2019-09-05 11:23:28	ga_s2am_ard_3-2-1_51KXS_2019-09-05_final.stac-item
2019-10-08 11:33:47	ga_s2am_ard_3-2-1_51KVR_2019-10-08_final.stac-item
2019-10-11 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-10-11_final.stac-item
2020-01-06 11:32:49	ga_s2am_ard_3-2-1_51KXU_2020-01-06_final.stac-item
2020-01-10 11:14:47	ga_s2am_ard_3-2-1_52JBR_2020-01-10_final.stac-item
2020-01-10 11:15:16	ga_s2am_ard_3-2-1_52JBP_2020-01-10_final.stac-item
2020-01-19 11:43:05	ga_s2am_ard_3-2-1_51KVT_2020-01-19_final.stac-item
2020-03-22 11:54:15	ga_s2am_ard_3-2-1_50KPU_2020-03-22_final.stac-item
2020-04-15 11:33:27	ga_s2am_ard_3-2-1_51KWS_2020-04-15_final.stac-item
2020-04-28 11:43:06	ga_s2am_ard_3-2-1_51KTU_2020-04-28_final.stac-item
2020-04-30 10:46:03	ga_s2am_ard_3-2-1_52JGL_2020-04-30_final.stac-item
2020-05-25 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-05-25_final.stac-item
2020-07-06 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-07-06_final.stac-item
2020-07-14 11:36:38	ga_s2am_ard_3-2-1_50HQK_2020-07-14_final.stac-item
2020-07-21 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-07-21_final.stac-item
2020-08-16 11:44:44	ga_s2am_ard_3-2-1_50JPT_2020-08-16_final.stac-item
2020-08-16 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-08-16_final.stac-item
2020-09-06 11:13:18	ga_s2am_ard_3-2-1_52KBC_2020-09-06_final.stac-item
2020-11-04 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-11-04_final.stac-item
2020-11-25 11:14:39	ga_s2am_ard_3-2-1_52JBS_2020-11-25_final.stac-item
2020-12-14 11:41:56	ga_s2am_ard_3-2-1_51LVC_2020-12-14_final.stac-item
2021-02-05 11:53:49	ga_s2am_ard_3-2-1_50KPA_2021-02-05_final.stac-item
2021-03-21 11:32:35	ga_s2am_ard_3-2-1_51KYV_2021-03-21_final.stac-item
2021-03-31 11:33:25	ga_s2am_ard_3-2-1_51KWS_2021-03-31_final.stac-item
2021-06-03 11:13:41	ga_s2am_ard_3-2-1_51KZR_2021-06-03_final.stac-item
2021-07-19 11:34:39	ga_s2am_ard_3-2-1_51JTN_2021-07-19_final.stac-item
2021-09-04 11:24:12	ga_s2am_ard_3-2-1_51KXP_2021-09-04_final.stac-item
2021-09-17 11:33:14	ga_s2am_ard_3-2-1_51KWT_2021-09-17_final.stac-item
2021-11-22 11:54:37	ga_s2am_ard_3-2-1_50JNT_2021-11-22_final.stac-item
2021-12-30 11:14:36	ga_s2am_ard_3-2-1_52JCS_2021-12-30_final.stac-item
2022-03-26 11:35:50	ga_s2am_ard_3-2-1_51JTH_2022-03-26_final.stac-item
2022-03-30 11:15:35	ga_s2am_ard_3-2-1_52JCN_2022-03-30_final.stac-item
2022-04-01 11:54:50	ga_s2am_ard_3-2-1_50JPS_2022-04-01_final.stac-item
2022-04-01 11:55:12	ga_s2am_ard_3-2-1_50JMR_2022-04-01_final.stac-item
2022-04-11 11:55:55	ga_s2am_ard_3-2-1_50JMN_2022-04-11_final.stac-item
2022-06-07 11:43:19	ga_s2am_ard_3-2-1_51KVT_2022-06-07_final.stac-item
2022-06-11 11:23:02	ga_s2am_ard_3-2-1_51KZU_2022-06-11_final.stac-item
2022-07-13 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-07-13_final.stac-item
2022-08-02 12:03:55	ga_s2am_ard_3-2-1_50KKB_2022-08-02_final.stac-item
2022-08-09 11:54:08	ga_s2am_ard_3-2-1_50KNA_2022-08-09_final.stac-item
2022-09-05 11:46:24	ga_s2am_ard_3-2-1_50JMM_2022-09-05_final.stac-item
2022-10-02 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-10-02_final.stac-item
2022-11-21 11:32:22	ga_s2am_ard_3-2-1_51KYA_2022-11-21_final.stac-item
2022-11-25 11:15:56	ga_s2am_ard_3-2-1_51JXG_2022-11-25_final.stac-item
2022-11-28 11:21:54	ga_s2am_ard_3-2-1_51LZC_2022-11-28_final.stac-item
2022-12-05 11:16:37	ga_s2am_ard_3-2-1_51HYD_2022-12-05_final.stac-item
2022-12-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2022-12-18_final.stac-item
2022-12-31 11:33:08	ga_s2am_ard_3-2-1_51KXT_2022-12-31_final.stac-item
2022-12-31 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-31_final.stac-item
2023-01-06 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-01-06_nrt.stac-item
2023-01-08 10:54:35	ga_s2am_ard_3-2-1_52JGS_2023-01-08_final.stac-item
2023-01-26 11:55:03	ga_s2am_ard_3-2-1_50JNR_2023-01-26_final.stac-item
2023-01-27 11:22:53	ga_s2am_ard_3-2-1_51KYU_2023-01-27_final.stac-item
2023-02-03 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-02-03_final.stac-item
2023-03-27 11:53:55	ga_s2am_ard_3-2-1_50KNA_2023-03-27_final
2023-06-09 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-09_final
2023-06-19 11:35:31	ga_s2am_ard_3-2-1_51JVJ_2023-06-19_final
2023-06-26 11:23:13	ga_s2am_ard_3-2-1_51KYT_2023-06-26_final
2023-07-13 11:16:51	ga_s2am_ard_3-2-1_51HXD_2023-07-13_final
2023-07-25 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-07-25_final
2023-07-26 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2023-07-26_final
2023-08-01 11:43:20	ga_s2am_ard_3-2-1_51KUT_2023-08-01_final
2023-08-25 11:23:26	ga_s2am_ard_3-2-1_52KBB_2023-08-25_final
2023-10-24 11:26:40	ga_s2am_ard_3-2-1_51HWD_2023-10-24_final
2023-11-26 11:33:32	ga_s2am_ard_3-2-1_51KXR_2023-11-26_final
2023-12-15 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2023-12-15_final
2024-01-16 11:06:26	ga_s2am_ard_3-2-1_52HBJ_2024-01-16_final
2024-04-17 11:44:48	ga_s2am_ard_3-2-1_51JTM_2024-04-17_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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