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
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWR_2016-05-16_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KQC_2016-12-28_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVT_2017-01-01_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KCB_2017-01-15_final.stac-item
2017-03-26 11:07:06	ga_s2am_ard_3-2-1_52LEH_2017-03-26_final.stac-item
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUC_2017-06-07_final.stac-item
2017-07-01 11:02:10	ga_s2am_ard_3-2-1_52KEB_2017-07-01_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HWD_2017-07-04_final.stac-item
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_51KYB_2017-12-04_final.stac-item
2018-01-10 11:10:28	ga_s2am_ard_3-2-1_52LGM_2018-01-10_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KZU_2018-01-13_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HVC_2018-02-02_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWB_2018-02-15_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KYT_2018-02-15_final.stac-item
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52KEB_2018-03-31_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCC_2018-06-09_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KXS_2018-07-05_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JMM_2018-08-07_final.stac-item
2018-08-14 11:26:20	ga_s2am_ard_3-2-1_51KYT_2018-08-14_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KWS_2018-08-24_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWS_2018-09-03_final.stac-item
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_52KBV_2018-10-20_final.stac-item
2018-12-19 11:22:57	ga_s2am_ard_3-2-1_52KBC_2018-12-19_final.stac-item
2019-01-03 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-01-03_final.stac-item
2019-02-24 11:15:53	ga_s2am_ard_3-2-1_51JXG_2019-02-24_final.stac-item
2019-04-28 11:23:38	ga_s2am_ard_3-2-1_52KBA_2019-04-28_final.stac-item
2019-05-15 11:15:25	ga_s2am_ard_3-2-1_52JBP_2019-05-15_final.stac-item
2019-05-31 11:32:17	ga_s2am_ard_3-2-1_51KWB_2019-05-31_final.stac-item
2019-05-31 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-05-31_final.stac-item
2019-07-13 11:43:02	ga_s2am_ard_3-2-1_51KVU_2019-07-13_final.stac-item
2019-08-26 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2019-08-26_final.stac-item
2019-09-15 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2019-09-15_final.stac-item
2019-10-11 11:43:27	ga_s2am_ard_3-2-1_51KVS_2019-10-11_final.stac-item
2019-10-18 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-10-18_final.stac-item
2019-11-28 11:00:44	ga_s2am_ard_3-2-1_52LHM_2019-11-28_final.stac-item
2020-01-13 11:21:20	ga_s2am_ard_3-2-1_51LZE_2020-01-13_final.stac-item
2020-01-29 11:42:20	ga_s2am_ard_3-2-1_51KVA_2020-01-29_final.stac-item
2020-05-19 11:13:19	ga_s2am_ard_3-2-1_52KEB_2020-05-19_final.stac-item
2020-07-01 11:24:24	ga_s2am_ard_3-2-1_51JZN_2020-07-01_final.stac-item
2020-07-08 11:13:44	ga_s2am_ard_3-2-1_52KBA_2020-07-08_final.stac-item
2020-07-14 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-07-14_final.stac-item
2020-07-18 11:13:59	ga_s2am_ard_3-2-1_52KBV_2020-07-18_final.stac-item
2020-07-28 11:13:45	ga_s2am_ard_3-2-1_52KBA_2020-07-28_final.stac-item
2020-08-24 11:03:25	ga_s2am_ard_3-2-1_52KEB_2020-08-24_final.stac-item
2020-09-09 11:21:28	ga_s2am_ard_3-2-1_52LBK_2020-09-09_final.stac-item
2020-09-19 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-09-19_final.stac-item
2020-09-25 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-09-25_final.stac-item
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final.stac-item
2020-12-06 10:45:45	ga_s2am_ard_3-2-1_52JGM_2020-12-06_final.stac-item
2020-12-22 11:05:32	ga_s2am_ard_3-2-1_52JCN_2020-12-22_final.stac-item
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final.stac-item
2021-03-08 11:23:49	ga_s2am_ard_3-2-1_52KBV_2021-03-08_final.stac-item
2021-05-24 11:13:34	ga_s2am_ard_3-2-1_52KDA_2021-05-24_final.stac-item
2021-05-30 11:32:59	ga_s2am_ard_3-2-1_51KWU_2021-05-30_final.stac-item
2021-06-10 11:03:20	ga_s2am_ard_3-2-1_52KEB_2021-06-10_final.stac-item
2021-07-13 11:13:36	ga_s2am_ard_3-2-1_52KDA_2021-07-13_final.stac-item
2021-07-19 11:35:40	ga_s2am_ard_3-2-1_50JQP_2021-07-19_final.stac-item
2021-08-22 11:10:45	ga_s2am_ard_3-2-1_52LGM_2021-08-22_final.stac-item
2021-09-14 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2021-09-14_final.stac-item
2021-10-24 11:23:55	ga_s2am_ard_3-2-1_52KBV_2021-10-24_final.stac-item
2021-10-30 11:42:32	ga_s2am_ard_3-2-1_51KVA_2021-10-30_final.stac-item
2021-11-16 11:32:20	ga_s2am_ard_3-2-1_51KVB_2021-11-16_final.stac-item
2021-12-19 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-12-19_final.stac-item
2022-01-02 11:23:41	ga_s2am_ard_3-2-1_51KYR_2022-01-02_final.stac-item
2022-01-25 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-01-25_final.stac-item
2022-02-18 11:13:31	ga_s2am_ard_3-2-1_52KEA_2022-02-18_final.stac-item
2022-02-28 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-02-28_final.stac-item
2022-03-02 11:56:33	ga_s2am_ard_3-2-1_50HNK_2022-03-02_final.stac-item
2022-03-11 10:45:51	ga_s2am_ard_3-2-1_52JGM_2022-03-11_final.stac-item
2022-04-14 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final.stac-item
2022-04-25 11:33:43	ga_s2am_ard_3-2-1_51KXR_2022-04-25_final.stac-item
2022-05-06 11:00:35	ga_s2am_ard_3-2-1_52LHN_2022-05-06_final.stac-item
2022-05-15 11:33:42	ga_s2am_ard_3-2-1_51KXR_2022-05-15_final.stac-item
2022-05-22 11:25:41	ga_s2am_ard_3-2-1_51JYH_2022-05-22_final.stac-item
2022-06-05 11:03:28	ga_s2am_ard_3-2-1_52KEB_2022-06-05_final.stac-item
2022-07-01 11:25:41	ga_s2am_ard_3-2-1_51JWJ_2022-07-01_final.stac-item
2022-07-21 11:24:01	ga_s2am_ard_3-2-1_52KBV_2022-07-21_final.stac-item
2022-07-28 11:14:01	ga_s2am_ard_3-2-1_52KCV_2022-07-28_final.stac-item
2022-09-19 11:23:58	ga_s2am_ard_3-2-1_51KZQ_2022-09-19_final.stac-item
2022-10-05 11:42:49	ga_s2am_ard_3-2-1_51KVV_2022-10-05_final.stac-item
2022-12-28 11:22:07	ga_s2am_ard_3-2-1_51KZB_2022-12-28_final.stac-item
2023-01-22 12:14:26	ga_s2am_ard_3-2-1_49KFP_2023-01-22_nrt.stac-item
2023-03-25 11:11:18	ga_s2am_ard_3-2-1_52LEK_2023-03-25_final
2023-03-31 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-03-31_final
2023-03-31 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-03-31_final
2023-04-01 11:06:36	ga_s2am_ard_3-2-1_51HYD_2023-04-01_final
2023-04-10 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2023-04-10_final
2023-06-03 11:13:19	ga_s2am_ard_3-2-1_52KEB_2023-06-03_final
2023-06-03 11:13:40	ga_s2am_ard_3-2-1_52KCA_2023-06-03_final
2023-06-22 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2023-06-22_final
2023-07-07 10:55:47	ga_s2am_ard_3-2-1_52JGM_2023-07-07_final
2023-08-09 11:03:39	ga_s2am_ard_3-2-1_52KEA_2023-08-09_final
2023-08-11 11:42:26	ga_s2am_ard_3-2-1_51KWA_2023-08-11_final
2023-08-28 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-08-28_final
2023-10-04 11:23:37	ga_s2am_ard_3-2-1_51KZR_2023-10-04_final
2023-12-30 11:13:51	ga_s2am_ard_3-2-1_52KBV_2023-12-30_final
2024-01-02 11:22:45	ga_s2am_ard_3-2-1_52KCD_2024-01-02_final
2024-02-21 11:22:02	ga_s2am_ard_3-2-1_52KCG_2024-02-21_final
2024-03-08 11:43:15	ga_s2am_ard_3-2-1_51KUT_2024-03-08_final
2024-03-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-03-14_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

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