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
2016-04-28 12:14:45	ga_s2am_ard_3-2-1_49JGL_2016-04-28_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUR_2016-04-29_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKQ_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKS_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLQ_2016-06-04_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPJ_2016-07-08_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HMH_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPK_2016-07-28_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTD_2016-09-13_final.stac-item
2017-01-04 11:46:21	ga_s2am_ard_3-2-1_50HNJ_2017-01-04_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KHP_2017-02-09_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVG_2017-10-05_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXF_2017-10-05_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXK_2017-10-05_final.stac-item
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JGL_2017-10-20_final.stac-item
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HVD_2017-11-14_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JUM_2017-12-10_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPK_2017-12-17_final.stac-item
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKM_2018-01-05_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTJ_2018-02-25_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JXG_2018-03-04_final.stac-item
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_51JXH_2018-04-10_final.stac-item
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51JTF_2018-05-06_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPH_2018-06-18_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HLH_2018-07-18_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JNM_2018-07-18_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JUF_2018-09-30_final.stac-item
2018-11-19 11:26:16	ga_s2am_ard_3-2-1_51HXE_2018-11-19_final.stac-item
2019-01-24 11:43:15	ga_s2am_ard_3-2-1_51KTT_2019-01-24_final.stac-item
2019-03-22 11:33:32	ga_s2am_ard_3-2-1_51KUS_2019-03-22_final.stac-item
2019-03-22 11:36:59	ga_s2am_ard_3-2-1_51HTC_2019-03-22_final.stac-item
2019-06-06 11:56:20	ga_s2am_ard_3-2-1_50JNL_2019-06-06_final.stac-item
2019-06-24 11:14:42	ga_s2am_ard_3-2-1_51JZM_2019-06-24_final.stac-item
2019-07-10 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-07-10_final.stac-item
2019-07-30 11:34:30	ga_s2am_ard_3-2-1_51JWN_2019-07-30_final.stac-item
2019-08-16 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2019-08-16_final.stac-item
2019-10-05 11:26:46	ga_s2am_ard_3-2-1_51HVD_2019-10-05_final.stac-item
2019-12-14 11:24:22	ga_s2am_ard_3-2-1_51JXN_2019-12-14_final.stac-item
2019-12-20 11:47:00	ga_s2am_ard_3-2-1_50HNH_2019-12-20_final.stac-item
2020-01-10 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2020-01-10_final.stac-item
2020-04-05 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-04-05_final.stac-item
2020-05-25 11:34:45	ga_s2am_ard_3-2-1_51JWM_2020-05-25_final.stac-item
2020-05-25 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-05-25_final.stac-item
2020-06-11 11:27:08	ga_s2am_ard_3-2-1_51HUC_2020-06-11_final.stac-item
2020-06-28 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-06-28_final.stac-item
2020-07-14 11:36:38	ga_s2am_ard_3-2-1_50HQK_2020-07-14_final.stac-item
2020-08-09 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-08-09_final.stac-item
2020-08-10 11:24:57	ga_s2am_ard_3-2-1_51JYL_2020-08-10_final.stac-item
2020-09-21 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-09-21_final.stac-item
2020-09-25 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-09-25_final.stac-item
2020-11-14 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-11-14_final.stac-item
2020-12-11 11:33:44	ga_s2am_ard_3-2-1_51KUR_2020-12-11_final.stac-item
2021-01-30 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-01-30_final.stac-item
2021-02-05 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-02-05_final.stac-item
2021-02-08 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-02-08_final.stac-item
2021-02-16 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-02-16_final.stac-item
2021-02-26 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-02-26_final.stac-item
2021-03-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-03-04_final.stac-item
2021-03-10 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-03-10_final.stac-item
2021-04-12 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2021-04-12_final.stac-item
2021-05-13 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-05-13_final.stac-item
2021-07-12 11:44:48	ga_s2am_ard_3-2-1_50JRS_2021-07-12_final.stac-item
2021-07-16 11:27:11	ga_s2am_ard_3-2-1_51HTC_2021-07-16_final.stac-item
2021-07-25 11:54:15	ga_s2am_ard_3-2-1_50KMV_2021-07-25_final.stac-item
2021-10-03 11:56:04	ga_s2am_ard_3-2-1_50JKN_2021-10-03_final.stac-item
2022-02-01 11:25:42	ga_s2am_ard_3-2-1_51JWH_2022-02-01_final.stac-item
2022-02-27 11:42:16	ga_s2am_ard_3-2-1_51KVB_2022-02-27_final.stac-item
2022-03-29 11:46:43	ga_s2am_ard_3-2-1_50HMK_2022-03-29_final.stac-item
2022-05-18 11:43:35	ga_s2am_ard_3-2-1_51KUS_2022-05-18_final.stac-item
2022-06-01 11:25:06	ga_s2am_ard_3-2-1_51JWL_2022-06-01_final.stac-item
2022-06-04 11:35:27	ga_s2am_ard_3-2-1_51JTK_2022-06-04_final.stac-item
2022-06-08 11:16:28	ga_s2am_ard_3-2-1_51JWF_2022-06-08_final.stac-item
2022-07-30 11:56:28	ga_s2am_ard_3-2-1_50JNL_2022-07-30_final.stac-item
2022-09-09 11:26:08	ga_s2am_ard_3-2-1_51JWG_2022-09-09_final.stac-item
2022-09-29 11:25:20	ga_s2am_ard_3-2-1_51JWK_2022-09-29_final.stac-item
2022-11-01 11:36:00	ga_s2am_ard_3-2-1_51JVG_2022-11-01_final.stac-item
2022-11-21 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-11-21_final.stac-item
2022-11-24 11:42:27	ga_s2am_ard_3-2-1_51KVA_2022-11-24_final.stac-item
2022-12-01 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-12-01_final.stac-item
2022-12-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-12-04_final.stac-item
2023-01-26 11:54:08	ga_s2am_ard_3-2-1_50KMV_2023-01-26_final.stac-item
2023-01-26 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-01-26_final.stac-item
2023-02-05 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-02-05_final
2023-02-05 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-02-05_nrt.stac-item
2023-04-03 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2023-04-03_final
2023-04-29 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-29_final
2023-05-14 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-05-14_final
2023-06-03 11:15:57	ga_s2am_ard_3-2-1_51JYG_2023-06-03_final
2023-06-19 11:33:34	ga_s2am_ard_3-2-1_51KVS_2023-06-19_final
2023-07-25 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-25_final
2023-07-28 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-28_final
2023-08-01 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2023-08-01_final
2023-09-10 11:44:18	ga_s2am_ard_3-2-1_51KUP_2023-09-10_final
2024-01-02 11:26:41	ga_s2am_ard_3-2-1_51HVD_2024-01-02_final
2024-03-02 11:24:19	ga_s2am_ard_3-2-1_51JZN_2024-03-02_final
2024-03-05 11:36:47	ga_s2am_ard_3-2-1_51HTD_2024-03-05_final
2024-04-07 11:43:08	ga_s2am_ard_3-2-1_51KVT_2024-04-07_final
2024-04-11 11:25:21	ga_s2am_ard_3-2-1_51JYJ_2024-04-11_final
2024-04-24 11:33:37	ga_s2am_ard_3-2-1_51KUS_2024-04-24_final
2024-05-27 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-05-27_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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