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
2015-09-03 11:12:48	ga_s2am_ard_3-2-1_51KZQ_2015-09-03_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HLK_2016-02-12_final.stac-item
2016-03-08 11:02:06	ga_s2am_ard_3-2-1_52KFE_2016-03-08_final.stac-item
2016-03-21 11:12:12	ga_s2am_ard_3-2-1_51KZR_2016-03-21_final.stac-item
2016-04-10 11:16:26	ga_s2am_ard_3-2-1_51HWC_2016-04-10_final
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLN_2016-09-19_final.stac-item
2016-09-24 11:02:06	ga_s2am_ard_3-2-1_52KGA_2016-09-24_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HWE_2016-11-09_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KRD_2017-06-06_final.stac-item
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KVU_2017-09-28_final.stac-item
2017-10-15 11:26:08	ga_s2am_ard_3-2-1_51HUE_2017-10-15_final.stac-item
2017-10-15 11:26:08	ga_s2am_ard_3-2-1_51HVE_2017-10-15_final.stac-item
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KEU_2017-12-18_final.stac-item
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KVB_2018-04-06_final.stac-item
2018-04-07 10:57:16	ga_s2am_ard_3-2-1_52KFB_2018-04-07_final.stac-item
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JXJ_2018-04-23_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JVF_2018-05-26_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JPN_2018-06-28_final.stac-item
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KCA_2018-07-19_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_52KCC_2018-08-21_final.stac-item
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51LYE_2018-10-03_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPL_2018-10-06_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPK_2018-10-13_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLH_2018-10-26_final.stac-item
2018-12-25 11:43:28	ga_s2am_ard_3-2-1_51KVR_2018-12-25_final.stac-item
2019-01-04 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-01-04_final.stac-item
2019-02-20 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-02-20_final.stac-item
2019-03-15 11:42:38	ga_s2am_ard_3-2-1_51KVV_2019-03-15_final.stac-item
2019-03-16 11:16:02	ga_s2am_ard_3-2-1_52JBL_2019-03-16_final.stac-item
2019-04-05 11:13:45	ga_s2am_ard_3-2-1_52KEV_2019-04-05_final.stac-item
2019-04-18 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-04-18_final.stac-item
2019-06-19 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-06-19_final.stac-item
2019-07-30 11:33:28	ga_s2am_ard_3-2-1_51KXS_2019-07-30_final.stac-item
2019-08-20 11:03:48	ga_s2am_ard_3-2-1_52KFV_2019-08-20_final.stac-item
2019-09-08 11:33:08	ga_s2am_ard_3-2-1_51KXT_2019-09-08_final.stac-item
2019-09-18 11:33:27	ga_s2am_ard_3-2-1_51KWS_2019-09-18_final.stac-item
2019-09-18 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-09-18_final.stac-item
2019-10-08 11:33:26	ga_s2am_ard_3-2-1_51KXS_2019-10-08_final.stac-item
2019-12-26 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-26_final.stac-item
2019-12-30 11:43:06	ga_s2am_ard_3-2-1_51KVT_2019-12-30_final.stac-item
2020-02-05 11:31:27	ga_s2am_ard_3-2-1_51LZD_2020-02-05_final.stac-item
2020-04-12 11:23:19	ga_s2am_ard_3-2-1_52KBB_2020-04-12_final.stac-item
2020-04-22 11:23:37	ga_s2am_ard_3-2-1_51KZR_2020-04-22_final.stac-item
2020-04-28 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2020-04-28_final.stac-item
2020-05-29 11:13:25	ga_s2am_ard_3-2-1_52KDB_2020-05-29_final.stac-item
2020-06-17 11:43:21	ga_s2am_ard_3-2-1_51KUT_2020-06-17_final.stac-item
2020-07-04 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-07-04_final.stac-item
2020-07-23 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-23_final.stac-item
2020-08-16 11:43:21	ga_s2am_ard_3-2-1_51KUT_2020-08-16_final.stac-item
2020-09-05 11:43:29	ga_s2am_ard_3-2-1_51KVS_2020-09-05_final.stac-item
2020-10-05 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-10-05_final.stac-item
2020-10-22 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-10-22_final.stac-item
2020-11-11 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-11-11_final.stac-item
2020-12-12 11:02:44	ga_s2am_ard_3-2-1_52KFD_2020-12-12_final.stac-item
2021-02-06 11:23:20	ga_s2am_ard_3-2-1_52KBB_2021-02-06_final.stac-item
2021-03-14 11:42:45	ga_s2am_ard_3-2-1_51KUV_2021-03-14_final.stac-item
2021-03-28 11:23:47	ga_s2am_ard_3-2-1_52KBV_2021-03-28_final.stac-item
2021-03-31 11:33:58	ga_s2am_ard_3-2-1_51KXP_2021-03-31_final.stac-item
2021-04-17 11:25:00	ga_s2am_ard_3-2-1_51JYK_2021-04-17_final.stac-item
2021-05-03 11:46:03	ga_s2am_ard_3-2-1_50JPM_2021-05-03_final.stac-item
2021-05-20 11:33:24	ga_s2am_ard_3-2-1_51KXS_2021-05-20_final.stac-item
2021-06-11 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-11_final.stac-item
2021-06-13 11:12:54	ga_s2am_ard_3-2-1_52KFC_2021-06-13_final.stac-item
2021-07-26 11:27:11	ga_s2am_ard_3-2-1_51HTC_2021-07-26_final.stac-item
2021-08-05 11:25:06	ga_s2am_ard_3-2-1_51JVL_2021-08-05_final.stac-item
2021-08-15 11:26:38	ga_s2am_ard_3-2-1_51HXD_2021-08-15_final.stac-item
2021-08-17 12:03:43	ga_s2am_ard_3-2-1_50KLB_2021-08-17_final.stac-item
2021-08-18 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2021-08-18_final.stac-item
2021-08-21 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-08-21_final.stac-item
2021-10-17 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-17_final.stac-item
2021-10-31 11:16:45	ga_s2am_ard_3-2-1_51HXD_2021-10-31_final.stac-item
2021-11-16 11:33:24	ga_s2am_ard_3-2-1_51KXS_2021-11-16_final.stac-item
2021-12-28 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-12-28_final.stac-item
2022-02-10 11:53:16	ga_s2am_ard_3-2-1_50KQC_2022-02-10_final.stac-item
2022-02-17 11:40:58	ga_s2am_ard_3-2-1_51LWG_2022-02-17_final
2022-03-02 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-03-02_final.stac-item
2022-05-05 11:33:14	ga_s2am_ard_3-2-1_51KXT_2022-05-05_final.stac-item
2022-06-26 12:14:07	ga_s2am_ard_3-2-1_50KKA_2022-06-26_final.stac-item
2022-07-27 11:43:14	ga_s2am_ard_3-2-1_50KRD_2022-07-27_final.stac-item
2022-07-28 11:16:00	ga_s2am_ard_3-2-1_52JBM_2022-07-28_final.stac-item
2022-09-05 11:43:36	ga_s2am_ard_3-2-1_51KVS_2022-09-05_final.stac-item
2022-09-29 11:23:21	ga_s2am_ard_3-2-1_51KXT_2022-09-29_final.stac-item
2022-10-02 11:32:58	ga_s2am_ard_3-2-1_51KYU_2022-10-02_final.stac-item
2022-12-28 11:22:51	ga_s2am_ard_3-2-1_51KZU_2022-12-28_final.stac-item
2023-04-03 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2023-04-03_final
2023-04-10 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2023-04-10_final
2023-04-13 11:41:33	ga_s2am_ard_3-2-1_51LUE_2023-04-13_final
2023-04-23 11:42:16	ga_s2am_ard_3-2-1_51KUB_2023-04-23_final
2023-07-31 12:15:05	ga_s2am_ard_3-2-1_49JFM_2023-07-31_final
2023-09-24 11:23:27	ga_s2am_ard_3-2-1_51KYS_2023-09-24_final
2023-11-16 11:31:23	ga_s2am_ard_3-2-1_51LYE_2023-11-16_final
2023-12-16 11:32:51	ga_s2am_ard_3-2-1_51KXU_2023-12-16_final
2023-12-20 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-12-20_final
2024-01-18 11:42:54	ga_s2am_ard_3-2-1_51KTU_2024-01-18_final
2024-02-17 11:42:19	ga_s2am_ard_3-2-1_51KWA_2024-02-17_final
2024-03-12 11:24:44	ga_s2am_ard_3-2-1_51JWM_2024-03-12_final
2024-04-23 12:04:31	ga_s2am_ard_3-2-1_49KHP_2024-04-23_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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