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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVL_2016-01-07_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KRD_2016-09-26_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51JVN_2016-11-22_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KVT_2016-12-12_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KUT_2016-12-25_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JZM_2017-01-18_final.stac-item
2017-02-03 11:34:38	ga_s2am_ard_3-2-1_51LUE_2017-02-03_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQH_2017-03-12_final.stac-item
2017-06-13 11:40:49	ga_s2am_ard_3-2-1_51LUF_2017-06-13_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51KZR_2017-08-13_final.stac-item
2017-09-12 11:12:13	ga_s2am_ard_3-2-1_52KDC_2017-09-12_final.stac-item
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_52KEB_2017-11-01_final.stac-item
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_51KZB_2017-12-04_final.stac-item
2018-03-21 11:07:10	ga_s2am_ard_3-2-1_52LGJ_2018-03-21_final.stac-item
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52JBL_2018-03-21_final.stac-item
2018-04-04 10:47:25	ga_s2am_ard_3-2-1_52JFR_2018-04-04_final.stac-item
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52KCV_2018-04-20_final.stac-item
2018-04-24 10:47:27	ga_s2am_ard_3-2-1_52JFR_2018-04-24_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final.stac-item
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KNC_2018-05-25_final.stac-item
2018-06-04 12:02:50	ga_s2am_ard_3-2-1_50KNA_2018-06-04_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KVB_2018-06-28_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-11-01_final.stac-item
2018-11-10 10:53:09	ga_s2am_ard_3-2-1_52KHB_2018-11-10_final.stac-item
2019-01-01 11:32:23	ga_s2am_ard_3-2-1_51KWA_2019-01-01_final.stac-item
2019-01-04 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final.stac-item
2019-01-21 11:31:45	ga_s2am_ard_3-2-1_51LZC_2019-01-21_final.stac-item
2019-01-22 11:02:55	ga_s2am_ard_3-2-1_52KGC_2019-01-22_final.stac-item
2019-02-07 11:25:57	ga_s2am_ard_3-2-1_51JVG_2019-02-07_final.stac-item
2019-03-29 11:22:55	ga_s2am_ard_3-2-1_51KYU_2019-03-29_final.stac-item
2019-05-15 11:13:21	ga_s2am_ard_3-2-1_52KCB_2019-05-15_final.stac-item
2019-06-12 12:13:42	ga_s2am_ard_3-2-1_50KKB_2019-06-12_final.stac-item
2019-06-20 11:32:54	ga_s2am_ard_3-2-1_51KYU_2019-06-20_final.stac-item
2019-08-26 11:23:02	ga_s2am_ard_3-2-1_51KXU_2019-08-26_final.stac-item
2019-11-07 11:36:49	ga_s2am_ard_3-2-1_51HTD_2019-11-07_final.stac-item
2019-12-01 11:13:43	ga_s2am_ard_3-2-1_52KEV_2019-12-01_final.stac-item
2019-12-21 11:13:27	ga_s2am_ard_3-2-1_52KDA_2019-12-21_final.stac-item
2020-01-23 11:22:49	ga_s2am_ard_3-2-1_51KYU_2020-01-23_final.stac-item
2020-02-02 11:24:00	ga_s2am_ard_3-2-1_51KYP_2020-02-02_final.stac-item
2020-02-12 11:24:15	ga_s2am_ard_3-2-1_51JYN_2020-02-12_final.stac-item
2020-04-25 11:34:16	ga_s2am_ard_3-2-1_51KVP_2020-04-25_final.stac-item
2020-07-18 11:15:47	ga_s2am_ard_3-2-1_51JXH_2020-07-18_final.stac-item
2020-08-07 11:16:14	ga_s2am_ard_3-2-1_51JYF_2020-08-07_final.stac-item
2020-08-30 11:22:57	ga_s2am_ard_3-2-1_51KZU_2020-08-30_final.stac-item
2020-10-05 11:43:06	ga_s2am_ard_3-2-1_51KUU_2020-10-05_final.stac-item
2020-11-05 11:12:58	ga_s2am_ard_3-2-1_52KCD_2020-11-05_final.stac-item
2020-12-21 11:33:01	ga_s2am_ard_3-2-1_51KYT_2020-12-21_final.stac-item
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final.stac-item
2021-01-21 11:03:50	ga_s2am_ard_3-2-1_52KEV_2021-01-21_final.stac-item
2021-02-12 11:41:17	ga_s2am_ard_3-2-1_51LUF_2021-02-12_final.stac-item
2021-03-07 11:52:19	ga_s2am_ard_3-2-1_50KQG_2021-03-07_final
2021-03-07 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-03-07_final.stac-item
2021-04-19 12:03:28	ga_s2am_ard_3-2-1_50KNB_2021-04-19_final.stac-item
2021-05-14 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-05-14_final.stac-item
2021-06-19 11:32:22	ga_s2am_ard_3-2-1_51KYA_2021-06-19_final.stac-item
2021-07-30 11:03:45	ga_s2am_ard_3-2-1_52KGV_2021-07-30_final.stac-item
2021-08-21 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-08-21_final.stac-item
2021-08-22 11:11:39	ga_s2am_ard_3-2-1_52LDJ_2021-08-22_final.stac-item
2021-10-14 11:23:12	ga_s2am_ard_3-2-1_51KZT_2021-10-14_final.stac-item
2021-10-21 11:13:45	ga_s2am_ard_3-2-1_52KBA_2021-10-21_final.stac-item
2021-11-05 12:03:48	ga_s2am_ard_3-2-1_50KKB_2021-11-05_final.stac-item
2021-11-26 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-11-26_final.stac-item
2021-12-23 11:22:49	ga_s2am_ard_3-2-1_52KCD_2021-12-23_final.stac-item
2022-01-12 11:22:43	ga_s2am_ard_3-2-1_51KYV_2022-01-12_final.stac-item
2022-01-25 11:36:23	ga_s2am_ard_3-2-1_51HVE_2022-01-25_final.stac-item
2022-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2022-05-17_final.stac-item
2022-05-19 11:13:19	ga_s2am_ard_3-2-1_52KBC_2022-05-19_final.stac-item
2022-06-05 11:05:24	ga_s2am_ard_3-2-1_52JEP_2022-06-05_final.stac-item
2022-07-10 11:53:30	ga_s2am_ard_3-2-1_50KQC_2022-07-10_final.stac-item
2022-07-28 11:13:35	ga_s2am_ard_3-2-1_52KBB_2022-07-28_final.stac-item
2022-09-06 11:14:32	ga_s2am_ard_3-2-1_52JCT_2022-09-06_final.stac-item
2022-09-13 11:03:15	ga_s2am_ard_3-2-1_52KEC_2022-09-13_final.stac-item
2022-09-26 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-09-26_final.stac-item
2022-10-08 11:53:17	ga_s2am_ard_3-2-1_50KRC_2022-10-08_final.stac-item
2022-10-19 11:23:08	ga_s2am_ard_3-2-1_52KBC_2022-10-19_final.stac-item
2022-10-23 11:03:01	ga_s2am_ard_3-2-1_52KGC_2022-10-23_final.stac-item
2022-10-26 11:13:17	ga_s2am_ard_3-2-1_52KBC_2022-10-26_final.stac-item
2023-01-08 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-01-08_final.stac-item
2023-01-20 11:31:15	ga_s2am_ard_3-2-1_51LZE_2023-01-20_final.stac-item
2023-03-14 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-03-14_final
2023-03-30 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-03-30_final
2023-04-13 11:43:47	ga_s2am_ard_3-2-1_50KRA_2023-04-13_final
2023-06-10 11:05:20	ga_s2am_ard_3-2-1_52JEP_2023-06-10_final
2023-06-22 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-22_final
2023-07-09 11:32:52	ga_s2am_ard_3-2-1_51KVV_2023-07-09_final
2023-07-10 11:06:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-10_final
2023-07-16 11:22:31	ga_s2am_ard_3-2-1_51KYA_2023-07-16_final
2023-07-23 11:11:09	ga_s2am_ard_3-2-1_52LEL_2023-07-23_final
2023-08-06 10:53:51	ga_s2am_ard_3-2-1_52KGV_2023-08-06_final
2023-08-22 11:13:37	ga_s2am_ard_3-2-1_52KEA_2023-08-22_final
2023-09-21 11:14:11	ga_s2am_ard_3-2-1_51KZP_2023-09-21_final
2023-10-07 11:34:11	ga_s2am_ard_3-2-1_51KWP_2023-10-07_final
2023-10-24 11:23:21	ga_s2am_ard_3-2-1_52KBB_2023-10-24_final
2023-11-30 11:10:24	ga_s2am_ard_3-2-1_52LFN_2023-11-30_final
2023-12-25 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2023-12-25_final
2024-01-05 11:35:35	ga_s2am_ard_3-2-1_51JVH_2024-01-05_final
2024-02-04 11:33:18	ga_s2am_ard_3-2-1_51KUT_2024-02-04_final
2024-02-14 11:34:03	ga_s2am_ard_3-2-1_51KXP_2024-02-14_final
2024-05-14 11:36:46	ga_s2am_ard_3-2-1_51HUD_2024-05-14_final
2024-05-28 11:13:30	ga_s2am_ard_3-2-1_51KZS_2024-05-28_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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