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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGM_2016-01-06_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JFM_2016-01-19_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNR_2016-01-20_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVB_2016-03-07_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHR_2016-09-02_final.stac-item
2016-09-13 11:26:17	ga_s2am_ard_3-2-1_51KVB_2016-09-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KVB_2016-10-16_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JLM_2016-11-01_final.stac-item
2017-06-29 12:03:46	ga_s2am_ard_3-2-1_50KKA_2017-06-29_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2017-10-07_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KVB_2017-10-11_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JQS_2018-02-08_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KWA_2018-04-29_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWQ_2018-07-05_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVT_2018-08-24_final.stac-item
2018-12-21 12:04:27	ga_s2am_ard_3-2-1_50JMT_2018-12-21_final.stac-item
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final.stac-item
2019-02-16 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-02-16_final.stac-item
2019-02-20 11:36:59	ga_s2am_ard_3-2-1_50HQH_2019-02-20_final.stac-item
2019-02-27 11:27:03	ga_s2am_ard_3-2-1_51HTC_2019-02-27_final.stac-item
2019-04-24 11:42:24	ga_s2am_ard_3-2-1_51KWA_2019-04-24_final.stac-item
2019-05-01 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-05-01_final.stac-item
2019-05-27 11:54:07	ga_s2am_ard_3-2-1_50KPV_2019-05-27_final.stac-item
2019-06-03 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-06-03_final.stac-item
2019-06-20 11:33:46	ga_s2am_ard_3-2-1_51KWR_2019-06-20_final.stac-item
2019-07-13 11:42:33	ga_s2am_ard_3-2-1_51KVA_2019-07-13_final.stac-item
2019-07-30 11:33:27	ga_s2am_ard_3-2-1_51KUT_2019-07-30_final.stac-item
2019-08-05 11:53:25	ga_s2am_ard_3-2-1_50KPC_2019-08-05_final.stac-item
2019-08-12 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-08-12_final.stac-item
2019-08-29 11:33:46	ga_s2am_ard_3-2-1_51KVR_2019-08-29_final.stac-item
2019-09-11 11:43:27	ga_s2am_ard_3-2-1_51KUS_2019-09-11_final.stac-item
2019-10-01 11:43:31	ga_s2am_ard_3-2-1_51KUS_2019-10-01_final.stac-item
2019-12-24 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2019-12-24_final.stac-item
2020-02-25 11:33:40	ga_s2am_ard_3-2-1_51KVR_2020-02-25_final.stac-item
2020-04-18 11:43:25	ga_s2am_ard_3-2-1_51KVS_2020-04-18_final.stac-item
2020-05-05 11:33:49	ga_s2am_ard_3-2-1_51KVR_2020-05-05_final.stac-item
2020-05-05 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2020-05-05_final.stac-item
2020-05-25 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-05-25_final.stac-item
2020-05-25 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-05-25_final.stac-item
2020-07-04 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-07-04_final.stac-item
2020-08-16 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-16_final.stac-item
2020-08-23 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-08-23_final.stac-item
2020-08-26 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-26_final.stac-item
2020-09-14 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-09-14_final.stac-item
2020-11-11 11:33:38	ga_s2am_ard_3-2-1_51KUS_2020-11-11_final.stac-item
2020-11-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2020-11-11_final.stac-item
2020-11-23 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-11-23_final.stac-item
2020-12-15 11:16:34	ga_s2am_ard_3-2-1_51HYD_2020-12-15_final.stac-item
2021-02-09 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-02-09_final.stac-item
2021-03-04 11:45:43	ga_s2am_ard_3-2-1_51JTH_2021-03-04_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-20_final.stac-item
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_50KKA_2021-04-09_final.stac-item
2021-04-17 11:24:09	ga_s2am_ard_3-2-1_51KWP_2021-04-17_final.stac-item
2021-04-20 11:33:25	ga_s2am_ard_3-2-1_51KVS_2021-04-20_final.stac-item
2021-04-30 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2021-04-30_final.stac-item
2021-06-29 11:33:14	ga_s2am_ard_3-2-1_51KWT_2021-06-29_final.stac-item
2021-07-19 11:33:31	ga_s2am_ard_3-2-1_51KWS_2021-07-19_final.stac-item
2021-07-26 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2021-07-26_final.stac-item
2021-08-28 11:34:12	ga_s2am_ard_3-2-1_51KWP_2021-08-28_final.stac-item
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final.stac-item
2021-09-30 11:43:01	ga_s2am_ard_3-2-1_51KVU_2021-09-30_final.stac-item
2021-10-04 11:26:47	ga_s2am_ard_3-2-1_51HXD_2021-10-04_final.stac-item
2021-10-07 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-07_final.stac-item
2021-11-15 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-11-15_final.stac-item
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final.stac-item
2022-01-08 11:42:10	ga_s2am_ard_3-2-1_51KVB_2022-01-08_final.stac-item
2022-02-24 11:36:08	ga_s2am_ard_3-2-1_50JQM_2022-02-24_final.stac-item
2022-03-26 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-03-26_final.stac-item
2022-03-26 11:35:59	ga_s2am_ard_3-2-1_51JVG_2022-03-26_final.stac-item
2022-06-17 11:43:22	ga_s2am_ard_3-2-1_51KVT_2022-06-17_final.stac-item
2022-07-23 12:03:31	ga_s2am_ard_3-2-1_50KNC_2022-07-23_final.stac-item
2022-07-24 11:33:45	ga_s2am_ard_3-2-1_51KUS_2022-07-24_final.stac-item
2022-07-24 11:34:25	ga_s2am_ard_3-2-1_51KVP_2022-07-24_final.stac-item
2022-07-28 11:16:17	ga_s2am_ard_3-2-1_51JYF_2022-07-28_final.stac-item
2022-07-31 11:24:12	ga_s2am_ard_3-2-1_51KWQ_2022-07-31_final.stac-item
2022-08-06 11:43:36	ga_s2am_ard_3-2-1_51KVS_2022-08-06_final.stac-item
2022-08-10 11:24:14	ga_s2am_ard_3-2-1_51KWQ_2022-08-10_final.stac-item
2022-09-28 11:53:18	ga_s2am_ard_3-2-1_50KRC_2022-09-28_final.stac-item
2022-10-21 12:03:42	ga_s2am_ard_3-2-1_50KLB_2022-10-21_final.stac-item
2022-11-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-11-07_final.stac-item
2022-12-11 11:32:58	ga_s2am_ard_3-2-1_51KWU_2022-12-11_final.stac-item
2023-01-20 11:32:06	ga_s2am_ard_3-2-1_51KXB_2023-01-20_final.stac-item
2023-01-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-01-23_final.stac-item
2023-02-19 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2023-02-19_final
2023-03-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2023-03-11_final
2023-03-25 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-03-25_final
2023-03-28 11:24:39	ga_s2am_ard_3-2-1_51JXM_2023-03-28_final
2023-05-29 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-05-29_final
2023-06-02 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-06-02_final
2023-06-19 11:32:33	ga_s2am_ard_3-2-1_51KWA_2023-06-19_final
2023-07-29 11:34:10	ga_s2am_ard_3-2-1_51KXP_2023-07-29_final
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final
2023-11-06 11:32:32	ga_s2am_ard_3-2-1_51KXA_2023-11-06_final
2023-11-06 11:33:15	ga_s2am_ard_3-2-1_51KVT_2023-11-06_final
2023-11-16 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-11-16_final
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final
2023-12-06 11:34:09	ga_s2am_ard_3-2-1_51JXN_2023-12-06_final
2024-01-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2024-01-15_final
2024-02-06 12:13:50	ga_s2am_ard_3-2-1_50KKA_2024-02-06_final
2024-02-28 12:50:59	ga_s2am_ard_3-2-1_48LWP_2024-02-28_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