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
2015-09-13 11:12:17	ga_s2am_ard_3-2-1_52KCF_2015-09-13_final.stac-item
2015-11-27 10:26:36	ga_s2am_ard_3-2-1_53HPB_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JGM_2015-11-27_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXS_2016-01-07_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52JDT_2016-01-31_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JTK_2016-02-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51KWQ_2016-04-06_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KGQ_2016-06-04_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HLH_2016-08-17_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_52LBH_2016-08-31_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52JGT_2016-11-10_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEQ_2016-12-13_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52KED_2016-12-23_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMK_2017-02-03_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52KFC_2017-03-06_final.stac-item
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52JEM_2017-11-28_final.stac-item
2018-01-04 10:52:09	ga_s2am_ard_3-2-1_52KHE_2018-01-04_final.stac-item
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KCE_2018-01-30_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWT_2018-02-15_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50HNK_2018-04-22_final.stac-item
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53JKH_2018-05-01_final.stac-item
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KXT_2018-05-13_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KXS_2018-05-16_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52JCM_2018-05-20_final.stac-item
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52JET_2018-05-27_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVR_2018-06-05_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_50KKA_2018-07-07_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-07-25_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HMJ_2018-09-09_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KUQ_2018-09-13_final.stac-item
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53HNC_2018-10-02_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50JQL_2018-10-03_final.stac-item
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HPE_2018-11-04_final.stac-item
2019-02-01 11:00:45	ga_s2am_ard_3-2-1_52LGM_2019-02-01_final.stac-item
2019-02-20 11:32:33	ga_s2am_ard_3-2-1_51KYV_2019-02-20_final.stac-item
2019-04-08 11:22:00	ga_s2am_ard_3-2-1_51LYC_2019-04-08_final.stac-item
2019-04-10 12:03:54	ga_s2am_ard_3-2-1_50KMA_2019-04-10_final.stac-item
2019-04-10 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-04-10_final.stac-item
2019-04-18 11:24:46	ga_s2am_ard_3-2-1_52JBR_2019-04-18_final.stac-item
2019-06-07 11:25:44	ga_s2am_ard_3-2-1_51JWH_2019-06-07_final.stac-item
2019-06-12 10:35:59	ga_s2am_ard_3-2-1_53HQE_2019-06-12_final.stac-item
2019-06-27 11:26:26	ga_s2am_ard_3-2-1_51HXE_2019-06-27_final.stac-item
2019-06-28 10:55:44	ga_s2am_ard_3-2-1_53JKG_2019-06-28_final.stac-item
2019-08-10 11:05:05	ga_s2am_ard_3-2-1_52JEQ_2019-08-10_final.stac-item
2019-12-08 11:01:14	ga_s2am_ard_3-2-1_52LGK_2019-12-08_final.stac-item
2020-02-21 11:55:36	ga_s2am_ard_3-2-1_50JLP_2020-02-21_final.stac-item
2020-02-29 11:15:20	ga_s2am_ard_3-2-1_52JBP_2020-02-29_final.stac-item
2020-04-14 12:04:27	ga_s2am_ard_3-2-1_49KHP_2020-04-14_final.stac-item
2020-04-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-04-21_final.stac-item
2020-05-22 11:21:52	ga_s2am_ard_3-2-1_52LDH_2020-05-22_final.stac-item
2020-06-02 10:56:10	ga_s2am_ard_3-2-1_52JEL_2020-06-02_final.stac-item
2020-09-28 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-09-28_final.stac-item
2020-10-02 11:35:25	ga_s2am_ard_3-2-1_51JWJ_2020-10-02_final.stac-item
2020-12-10 10:24:37	ga_s2am_ard_3-2-1_53JQL_2020-12-10_final.stac-item
2020-12-13 10:34:15	ga_s2am_ard_3-2-1_53JQM_2020-12-13_final.stac-item
2020-12-15 11:10:35	ga_s2am_ard_3-2-1_52LHM_2020-12-15_final.stac-item
2020-12-18 11:21:51	ga_s2am_ard_3-2-1_52LBH_2020-12-18_final.stac-item
2021-04-14 11:14:18	ga_s2am_ard_3-2-1_52JBT_2021-04-14_final.stac-item
2021-06-01 10:36:29	ga_s2am_ard_3-2-1_53HLD_2021-06-01_final.stac-item
2021-11-06 11:36:14	ga_s2am_ard_3-2-1_51JVF_2021-11-06_final.stac-item
2022-02-01 11:26:40	ga_s2am_ard_3-2-1_51HWD_2022-02-01_final.stac-item
2022-03-03 11:23:24	ga_s2am_ard_3-2-1_51KYS_2022-03-03_final.stac-item
2022-03-05 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-03-05_final.stac-item
2022-03-06 11:33:17	ga_s2am_ard_3-2-1_51KWT_2022-03-06_final.stac-item
2022-04-14 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-04-14_final.stac-item
2022-05-05 11:36:19	ga_s2am_ard_3-2-1_51JUF_2022-05-05_final.stac-item
2022-06-02 10:56:12	ga_s2am_ard_3-2-1_52JEL_2022-06-02_final.stac-item
2022-07-01 11:23:16	ga_s2am_ard_3-2-1_52KCC_2022-07-01_final.stac-item
2022-07-01 11:25:33	ga_s2am_ard_3-2-1_51JYJ_2022-07-01_final.stac-item
2022-07-22 10:55:46	ga_s2am_ard_3-2-1_52JEN_2022-07-22_final.stac-item
2022-07-23 10:24:19	ga_s2am_ard_3-2-1_53JRN_2022-07-23_final.stac-item
2022-07-30 11:54:50	ga_s2am_ard_3-2-1_50JMT_2022-07-30_final.stac-item
2022-09-05 11:46:02	ga_s2am_ard_3-2-1_50JPN_2022-09-05_final.stac-item
2022-10-09 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2022-10-09_final.stac-item
2022-10-26 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-10-26_final.stac-item
2022-10-26 11:16:47	ga_s2am_ard_3-2-1_51HWD_2022-10-26_final.stac-item
2022-12-17 11:57:14	ga_s2am_ard_3-2-1_49HGC_2022-12-17_nrt.stac-item
2022-12-29 10:55:04	ga_s2am_ard_3-2-1_53JLJ_2022-12-29_final.stac-item
2023-01-31 11:01:48	ga_s2am_ard_3-2-1_52LFH_2023-01-31_final.stac-item
2023-04-02 10:35:14	ga_s2am_ard_3-2-1_53JQH_2023-04-02_final
2023-06-09 11:36:23	ga_s2am_ard_3-2-1_50JQL_2023-06-09_final
2023-06-23 11:13:58	ga_s2am_ard_3-2-1_52KBV_2023-06-23_final
2023-06-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-06-28_final
2023-07-19 11:32:24	ga_s2am_ard_3-2-1_51KVB_2023-07-19_final
2023-10-14 11:21:09	ga_s2am_ard_3-2-1_51LZF_2023-10-14_nrt
2023-10-19 12:14:30	ga_s2am_ard_3-2-1_49KFP_2023-10-19_nrt
2023-12-27 11:04:33	ga_s2am_ard_3-2-1_52JDS_2023-12-27_final
2023-12-30 11:13:18	ga_s2am_ard_3-2-1_52KBB_2023-12-30_final
2024-01-16 11:01:09	ga_s2am_ard_3-2-1_52LGK_2024-01-16_final
2024-01-24 10:26:00	ga_s2am_ard_3-2-1_53HPE_2024-01-24_final
2024-01-27 12:14:25	ga_s2am_ard_3-2-1_49KFP_2024-01-27_nrt
2024-02-08 11:12:42	ga_s2am_ard_3-2-1_52KED_2024-02-08_final
2024-02-08 11:16:27	ga_s2am_ard_3-2-1_51HYD_2024-02-08_final
2024-03-08 11:43:30	ga_s2am_ard_3-2-1_51KUS_2024-03-08_final
2024-03-15 11:31:35	ga_s2am_ard_3-2-1_51LZD_2024-03-15_final
2024-03-15 11:36:57	ga_s2am_ard_3-2-1_51HUC_2024-03-15_final
2024-04-02 10:55:11	ga_s2am_ard_3-2-1_52JGP_2024-04-02_final
2024-04-11 11:26:55	ga_s2am_ard_3-2-1_51HWC_2024-04-11_final
2024-04-21 11:23:28	ga_s2am_ard_3-2-1_51KYS_2024-04-21_final
2024-05-09 10:46:26	ga_s2am_ard_3-2-1_53HLD_2024-05-09_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

All years