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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HWE_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52KBA_2015-11-25_final.stac-item
2016-04-28 12:13:47	ga_s2am_ard_3-2-1_49KGR_2016-04-28_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KVS_2016-09-26_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HMH_2016-10-16_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMH_2017-01-07_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTD_2017-02-10_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HVD_2017-02-17_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKM_2017-04-20_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGK_2017-04-23_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLN_2017-08-05_final.stac-item
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51HUE_2017-08-16_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUF_2017-09-08_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HQJ_2017-09-28_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXM_2017-10-05_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HMH_2017-10-11_final.stac-item
2017-11-15 10:53:13	ga_s2am_ard_3-2-1_52JFM_2017-11-15_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGJ_2018-01-05_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JBS_2018-03-11_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWR_2018-06-05_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-08-03_final.stac-item
2018-08-04 11:26:21	ga_s2am_ard_3-2-1_51KVV_2018-08-04_final.stac-item
2018-08-22 10:47:24	ga_s2am_ard_3-2-1_52JGM_2018-08-22_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVF_2018-09-30_final.stac-item
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HXD_2018-10-07_final.stac-item
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51KZP_2018-10-07_final.stac-item
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_51KYB_2018-10-20_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HQJ_2018-11-05_final.stac-item
2018-11-12 11:36:56	ga_s2am_ard_3-2-1_51HTC_2018-11-12_final.stac-item
2018-12-09 11:24:24	ga_s2am_ard_3-2-1_51JZM_2018-12-09_final.stac-item
2018-12-31 12:05:23	ga_s2am_ard_3-2-1_49JGK_2018-12-31_final.stac-item
2019-02-20 11:36:20	ga_s2am_ard_3-2-1_51HVE_2019-02-20_final.stac-item
2019-03-02 11:33:08	ga_s2am_ard_3-2-1_51KWT_2019-03-02_final.stac-item
2019-05-14 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-05-14_final.stac-item
2019-06-20 11:33:52	ga_s2am_ard_3-2-1_51KUR_2019-06-20_final.stac-item
2019-06-26 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-06-26_final.stac-item
2019-12-20 11:43:59	ga_s2am_ard_3-2-1_50KQV_2019-12-20_final.stac-item
2019-12-30 11:42:04	ga_s2am_ard_3-2-1_51KWB_2019-12-30_final.stac-item
2020-01-06 11:31:51	ga_s2am_ard_3-2-1_51LXC_2020-01-06_final.stac-item
2020-01-06 11:34:09	ga_s2am_ard_3-2-1_51KVP_2020-01-06_final.stac-item
2020-02-11 11:54:55	ga_s2am_ard_3-2-1_50JPR_2020-02-11_final.stac-item
2020-02-22 11:23:22	ga_s2am_ard_3-2-1_51KXS_2020-02-22_final.stac-item
2020-03-16 11:35:04	ga_s2am_ard_3-2-1_51JWK_2020-03-16_final.stac-item
2020-04-25 11:36:48	ga_s2am_ard_3-2-1_51HTD_2020-04-25_final.stac-item
2020-04-28 11:46:28	ga_s2am_ard_3-2-1_50JML_2020-04-28_final.stac-item
2020-06-24 11:32:46	ga_s2am_ard_3-2-1_51KXV_2020-06-24_final.stac-item
2020-08-06 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-08-06_final.stac-item
2020-08-09 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-08-09_final.stac-item
2020-08-16 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-08-16_final.stac-item
2020-09-05 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-09-05_final.stac-item
2020-09-28 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-09-28_final.stac-item
2020-11-01 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-11-01_final.stac-item
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_50KRU_2020-12-04_final.stac-item
2020-12-18 11:24:30	ga_s2am_ard_3-2-1_52JBS_2020-12-18_final.stac-item
2021-01-03 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-01-03_final.stac-item
2021-01-04 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-01-04_final.stac-item
2021-02-12 11:44:29	ga_s2am_ard_3-2-1_50JRT_2021-02-12_final.stac-item
2021-03-04 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-03-04_final.stac-item
2021-03-08 11:26:35	ga_s2am_ard_3-2-1_51HXD_2021-03-08_final.stac-item
2021-04-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2021-04-03_final.stac-item
2021-04-04 11:16:33	ga_s2am_ard_3-2-1_51HYD_2021-04-04_final.stac-item
2021-04-10 11:35:14	ga_s2am_ard_3-2-1_51JTK_2021-04-10_final.stac-item
2021-05-31 11:04:37	ga_s2am_ard_3-2-1_52JDS_2021-05-31_final.stac-item
2021-08-01 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-08-01_final.stac-item
2021-10-11 11:15:48	ga_s2am_ard_3-2-1_51JXH_2021-10-11_final.stac-item
2021-10-20 11:46:35	ga_s2am_ard_3-2-1_50HQK_2021-10-20_final.stac-item
2021-11-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-11-18_final.stac-item
2021-12-14 10:55:56	ga_s2am_ard_3-2-1_52JGL_2021-12-14_final.stac-item
2022-01-14 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-01-14_final.stac-item
2022-01-25 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-01-25_final.stac-item
2022-04-02 11:24:39	ga_s2am_ard_3-2-1_51JYM_2022-04-02_final.stac-item
2022-04-19 11:14:13	ga_s2am_ard_3-2-1_51KZP_2022-04-19_final.stac-item
2022-06-10 11:55:58	ga_s2am_ard_3-2-1_50JNN_2022-06-10_final.stac-item
2022-06-11 11:25:08	ga_s2am_ard_3-2-1_51JWL_2022-06-11_final.stac-item
2022-06-17 11:44:31	ga_s2am_ard_3-2-1_50KQU_2022-06-17_final.stac-item
2022-09-25 13:21:45	ga_s2am_ard_3-2-1_47LKH_2022-09-25_interim
2022-10-12 11:37:06	ga_s2am_ard_3-2-1_51HTC_2022-10-12_final.stac-item
2022-10-26 11:16:43	ga_s2am_ard_3-2-1_51HXD_2022-10-26_final.stac-item
2022-10-30 10:54:34	ga_s2am_ard_3-2-1_52JFS_2022-10-30_final.stac-item
2022-11-01 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-01_final.stac-item
2022-11-21 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2022-11-21_final.stac-item
2023-01-03 11:41:58	ga_s2am_ard_3-2-1_51LVC_2023-01-03_final.stac-item
2023-01-04 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-01-04_final.stac-item
2023-01-27 11:23:04	ga_s2am_ard_3-2-1_51KZT_2023-01-27_final.stac-item
2023-03-25 11:15:28	ga_s2am_ard_3-2-1_51JXJ_2023-03-25_final
2023-04-01 11:04:34	ga_s2am_ard_3-2-1_52JDS_2023-04-01_final
2023-04-14 11:16:02	ga_s2am_ard_3-2-1_52JCL_2023-04-14_final
2023-06-19 11:33:46	ga_s2am_ard_3-2-1_51KWR_2023-06-19_final
2023-08-12 11:16:10	ga_s2am_ard_3-2-1_52JBL_2023-08-12_final
2023-09-03 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-09-03_final
2023-10-07 11:33:24	ga_s2am_ard_3-2-1_51KXS_2023-10-07_final
2023-11-17 11:04:56	ga_s2am_ard_3-2-1_52JFQ_2023-11-17_final
2024-02-01 11:21:06	ga_s2am_ard_3-2-1_51LZF_2024-02-01_final
2024-02-04 11:32:58	ga_s2am_ard_3-2-1_51KYT_2024-02-04_final
2024-02-22 10:54:20	ga_s2am_ard_3-2-1_52JFT_2024-02-22_final
2024-03-12 11:25:13	ga_s2am_ard_3-2-1_51JWK_2024-03-12_final
2024-03-15 11:34:49	ga_s2am_ard_3-2-1_50JRS_2024-03-15_final
2024-03-25 11:31:22	ga_s2am_ard_3-2-1_51LZE_2024-03-25_final
2024-04-11 11:24:59	ga_s2am_ard_3-2-1_51JWL_2024-04-11_final
2024-04-24 11:31:09	ga_s2am_ard_3-2-1_51LZF_2024-04-24_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

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