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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUT_2016-01-20_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUV_2016-02-19_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KVT_2016-04-06_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLU_2016-06-24_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JGM_2016-07-27_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KVU_2016-11-02_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPJ_2016-11-12_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMJ_2016-11-28_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HVD_2017-01-18_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HMK_2017-02-13_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHR_2017-02-19_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KTT_2017-05-24_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KUV_2017-05-24_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KUP_2017-06-13_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-06-19_final.stac-item
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KUV_2017-07-23_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51KVT_2017-08-12_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KVT_2017-09-28_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVS_2017-11-20_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KUV_2018-03-10_final.stac-item
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51HXD_2018-04-03_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMH_2018-04-09_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQJ_2018-04-16_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUV_2018-05-19_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQK_2018-09-06_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KVS_2018-10-23_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUT_2018-11-05_final.stac-item
2018-12-01 12:03:15	ga_s2am_ard_3-2-1_50KMC_2018-12-01_final.stac-item
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-11_final.stac-item
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final.stac-item
2018-12-25 11:43:10	ga_s2am_ard_3-2-1_51KTT_2018-12-25_final.stac-item
2019-01-04 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-01-04_final.stac-item
2019-04-23 12:13:57	ga_s2am_ard_3-2-1_50KKA_2019-04-23_final.stac-item
2019-05-24 11:43:47	ga_s2am_ard_3-2-1_51KUR_2019-05-24_final.stac-item
2019-06-30 11:32:51	ga_s2am_ard_3-2-1_51KVV_2019-06-30_final.stac-item
2019-09-22 11:16:23	ga_s2am_ard_3-2-1_51HYE_2019-09-22_final.stac-item
2019-10-31 11:46:22	ga_s2am_ard_3-2-1_50JPL_2019-10-31_final.stac-item
2019-11-10 11:43:08	ga_s2am_ard_3-2-1_51KUU_2019-11-10_final.stac-item
2019-12-03 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-12-03_final.stac-item
2020-01-09 11:45:41	ga_s2am_ard_3-2-1_50JQN_2020-01-09_final.stac-item
2020-02-05 11:36:49	ga_s2am_ard_3-2-1_51HUC_2020-02-05_final.stac-item
2020-02-15 11:32:13	ga_s2am_ard_3-2-1_51KVB_2020-02-15_final.stac-item
2020-03-29 11:45:28	ga_s2am_ard_3-2-1_50JQP_2020-03-29_final.stac-item
2020-05-01 11:52:23	ga_s2am_ard_3-2-1_50KQG_2020-05-01_final
2020-06-03 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-06-03_final.stac-item
2020-06-27 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-06-27_final.stac-item
2020-06-30 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-06-30_final.stac-item
2020-07-27 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-07-27_final.stac-item
2020-10-15 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-10-15_final.stac-item
2020-10-22 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-10-22_final.stac-item
2020-12-18 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-18_final.stac-item
2021-01-03 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-01-03_final.stac-item
2021-01-10 11:36:11	ga_s2am_ard_3-2-1_51JVF_2021-01-10_final.stac-item
2021-04-30 11:36:44	ga_s2am_ard_3-2-1_51HTD_2021-04-30_final.stac-item
2021-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-05-13_final.stac-item
2021-05-22 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-05-22_final.stac-item
2021-06-18 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-06-18_final.stac-item
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final.stac-item
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-07-01_final.stac-item
2021-07-12 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2021-07-12_final.stac-item
2021-07-29 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-29_final.stac-item
2021-08-20 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-08-20_final.stac-item
2021-09-07 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-09-07_final.stac-item
2021-10-10 11:42:18	ga_s2am_ard_3-2-1_51KVB_2021-10-10_final.stac-item
2022-02-24 11:33:36	ga_s2am_ard_3-2-1_51KUS_2022-02-24_final.stac-item
2022-02-27 11:43:21	ga_s2am_ard_3-2-1_51KTT_2022-02-27_final.stac-item
2022-04-11 11:56:24	ga_s2am_ard_3-2-1_50JML_2022-04-11_final.stac-item
2022-05-28 11:43:29	ga_s2am_ard_3-2-1_50KQC_2022-05-28_final.stac-item
2022-05-28 11:44:13	ga_s2am_ard_3-2-1_50KQV_2022-05-28_final.stac-item
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final.stac-item
2022-07-04 11:34:13	ga_s2am_ard_3-2-1_51KVQ_2022-07-04_final.stac-item
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final.stac-item
2022-08-06 11:42:39	ga_s2am_ard_3-2-1_51KVA_2022-08-06_final.stac-item
2022-10-05 11:43:32	ga_s2am_ard_3-2-1_51KVS_2022-10-05_final.stac-item
2022-11-04 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-11-04_final.stac-item
2022-11-07 11:53:21	ga_s2am_ard_3-2-1_50KQC_2022-11-07_final.stac-item
2022-11-13 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-11-13_final.stac-item
2022-12-14 11:43:11	ga_s2am_ard_3-2-1_51KVT_2022-12-14_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_50KKB_2023-01-19_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-02-12 11:43:01	ga_s2am_ard_3-2-1_51KTU_2023-02-12_final
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final
2023-03-11 11:33:26	ga_s2am_ard_3-2-1_51KVS_2023-03-11_final
2023-04-07 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-04-07_final
2023-06-06 11:26:51	ga_s2am_ard_3-2-1_51HUD_2023-06-06_final
2023-07-22 11:42:50	ga_s2am_ard_3-2-1_51KUV_2023-07-22_final
2023-08-08 11:32:51	ga_s2am_ard_3-2-1_51KVV_2023-08-08_final
2023-08-11 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-11_final
2023-08-31 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-08-31_final
2023-09-27 11:33:47	ga_s2am_ard_3-2-1_51KVR_2023-09-27_final
2023-10-03 11:57:08	ga_s2am_ard_3-2-1_50HMH_2023-10-03_final
2023-10-10 11:42:56	ga_s2am_ard_3-2-1_51KVU_2023-10-10_final
2023-10-19 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-19_final
2023-11-06 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-11-06_final
2023-11-19 11:42:25	ga_s2am_ard_3-2-1_51KVA_2023-11-19_final
2024-02-28 11:16:58	ga_s2am_ard_3-2-1_51HWC_2024-02-28_final
2024-04-11 11:27:08	ga_s2am_ard_3-2-1_51HTC_2024-04-11_final
2024-04-14 11:36:16	ga_s2am_ard_3-2-1_51JUF_2024-04-14_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

Other products

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