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
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HYD_2016-08-18_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLM_2016-09-19_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KTS_2017-02-03_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVU_2017-02-03_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KUV_2017-05-04_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HXE_2017-09-15_final.stac-item
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_50KKA_2018-02-07_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUC_2018-05-26_final.stac-item
2018-06-04 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-06-04_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KUU_2018-07-08_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPJ_2018-07-28_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HTC_2018-08-04_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUC_2018-08-04_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPH_2018-08-07_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KTU_2018-08-17_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWQ_2018-09-03_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPJ_2018-10-23_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KRC_2018-10-29_final.stac-item
2018-11-12 11:36:38	ga_s2am_ard_3-2-1_51HUD_2018-11-12_final.stac-item
2018-11-15 11:43:04	ga_s2am_ard_3-2-1_51KVT_2018-11-15_final.stac-item
2018-11-25 11:43:21	ga_s2am_ard_3-2-1_51KUS_2018-11-25_final.stac-item
2018-12-02 11:33:26	ga_s2am_ard_3-2-1_51KUS_2018-12-02_final.stac-item
2018-12-02 11:36:49	ga_s2am_ard_3-2-1_51HUC_2018-12-02_final.stac-item
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_50KRD_2019-01-04_final.stac-item
2019-01-04 11:46:07	ga_s2am_ard_3-2-1_50JMM_2019-01-04_final.stac-item
2019-01-17 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-01-17_final.stac-item
2019-05-08 11:27:11	ga_s2am_ard_3-2-1_51HTC_2019-05-08_final.stac-item
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final.stac-item
2019-06-30 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2019-06-30_final.stac-item
2019-08-12 11:43:08	ga_s2am_ard_3-2-1_51KTU_2019-08-12_final.stac-item
2019-10-05 11:23:45	ga_s2am_ard_3-2-1_51KXR_2019-10-05_final.stac-item
2019-10-21 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-10-21_final.stac-item
2020-01-19 11:43:12	ga_s2am_ard_3-2-1_51KTT_2020-01-19_final.stac-item
2020-02-25 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-02-25_final.stac-item
2020-02-25 11:33:11	ga_s2am_ard_3-2-1_51KVT_2020-02-25_final.stac-item
2020-03-12 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-03-12_final.stac-item
2020-04-09 11:16:20	ga_s2am_ard_3-2-1_51HYE_2020-04-09_final.stac-item
2020-04-15 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-04-15_final.stac-item
2020-04-28 11:43:06	ga_s2am_ard_3-2-1_50KRD_2020-04-28_final.stac-item
2020-06-04 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-06-04_final.stac-item
2020-06-24 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-06-24_final.stac-item
2020-07-11 11:24:19	ga_s2am_ard_3-2-1_51KWP_2020-07-11_final.stac-item
2020-08-30 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-08-30_final.stac-item
2020-10-05 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-10-05_final.stac-item
2020-10-15 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-10-15_final.stac-item
2020-11-28 11:23:14	ga_s2am_ard_3-2-1_51KXT_2020-11-28_final.stac-item
2021-03-11 11:32:58	ga_s2am_ard_3-2-1_51KWU_2021-03-11_final.stac-item
2021-03-11 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-03-11_final.stac-item
2021-04-23 11:42:31	ga_s2am_ard_3-2-1_51KVV_2021-04-23_final.stac-item
2021-05-17 11:23:43	ga_s2am_ard_3-2-1_51KXR_2021-05-17_final.stac-item
2021-05-30 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-05-30_final.stac-item
2021-06-06 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-06_final.stac-item
2021-07-05 11:56:06	ga_s2am_ard_3-2-1_50JNM_2021-07-05_final.stac-item
2021-08-01 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-01_final.stac-item
2021-09-17 11:32:42	ga_s2am_ard_3-2-1_51KXV_2021-09-17_final.stac-item
2021-09-23 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-09-23_final.stac-item
2021-12-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-12-05_final.stac-item
2021-12-06 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-12-06_final.stac-item
2021-12-16 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-12-16_final.stac-item
2022-01-05 11:33:14	ga_s2am_ard_3-2-1_51KWT_2022-01-05_final.stac-item
2022-01-25 11:32:11	ga_s2am_ard_3-2-1_51KXB_2022-01-25_final.stac-item
2022-02-11 11:24:11	ga_s2am_ard_3-2-1_51KXP_2022-02-11_final.stac-item
2022-02-14 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-02-14_final.stac-item
2022-02-28 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-02-28_final.stac-item
2022-03-06 11:33:17	ga_s2am_ard_3-2-1_51KWT_2022-03-06_final.stac-item
2022-03-16 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-03-16_final.stac-item
2022-03-16 11:33:49	ga_s2am_ard_3-2-1_51KVR_2022-03-16_final.stac-item
2022-03-19 11:43:28	ga_s2am_ard_3-2-1_51KVS_2022-03-19_final.stac-item
2022-03-26 11:33:23	ga_s2am_ard_3-2-1_51KWS_2022-03-26_final.stac-item
2022-03-26 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2022-03-26_final.stac-item
2022-04-22 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-04-22_final.stac-item
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final.stac-item
2022-07-10 11:52:33	ga_s2am_ard_3-2-1_50KQG_2022-07-10_final
2022-07-14 11:34:12	ga_s2am_ard_3-2-1_51KVQ_2022-07-14_final.stac-item
2022-08-09 11:53:22	ga_s2am_ard_3-2-1_50KRC_2022-08-09_final.stac-item
2022-09-08 11:56:22	ga_s2am_ard_3-2-1_50JLM_2022-09-08_final.stac-item
2022-10-02 11:33:09	ga_s2am_ard_3-2-1_51KVU_2022-10-02_final.stac-item
2022-11-01 11:32:33	ga_s2am_ard_3-2-1_51KWA_2022-11-01_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2022-12-30 12:05:54	ga_s2am_ard_3-2-1_50JKN_2022-12-30_final.stac-item
2023-02-12 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-02-12_nrt.stac-item
2023-02-19 11:33:27	ga_s2am_ard_3-2-1_51KVS_2023-02-19_final
2023-02-22 11:43:41	ga_s2am_ard_3-2-1_51KUR_2023-02-22_nrt.stac-item
2023-04-10 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-10_final
2023-04-30 11:32:40	ga_s2am_ard_3-2-1_51KXV_2023-04-30_final
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_50KKB_2023-07-18_final
2023-07-26 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-07-26_final
2023-08-18 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2023-08-18_final
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final
2023-10-16 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-10-16_final
2023-10-27 11:33:13	ga_s2am_ard_3-2-1_51KWT_2023-10-27_final
2023-12-19 11:42:24	ga_s2am_ard_3-2-1_51KVA_2023-12-19_final
2023-12-19 11:43:29	ga_s2am_ard_3-2-1_51KVR_2023-12-19_final
2023-12-20 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-12-20_final
2023-12-29 11:43:00	ga_s2am_ard_3-2-1_51KTU_2023-12-29_final
2024-01-05 11:32:43	ga_s2am_ard_3-2-1_51KVV_2024-01-05_final
2024-01-08 11:43:05	ga_s2am_ard_3-2-1_51KVT_2024-01-08_final
2024-01-28 11:43:24	ga_s2am_ard_3-2-1_51KUS_2024-01-28_final
2024-03-02 11:24:32	ga_s2am_ard_3-2-1_51JZM_2024-03-02_final
2024-04-24 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2024-04-24_nrt

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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