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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KTT_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KWS_2016-06-05_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KXS_2016-07-15_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXQ_2016-07-22_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51KXT_2016-10-10_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KNC_2016-11-18_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KTS_2017-02-03_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVU_2017-02-13_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2017-02-19_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KWB_2017-03-12_final.stac-item
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KVS_2017-04-01_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPH_2017-07-23_final.stac-item
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KXQ_2017-08-26_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPK_2017-09-01_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HXE_2017-10-05_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUV_2017-11-20_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKM_2018-02-14_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HNH_2018-02-28_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KXR_2018-03-04_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KUU_2018-04-29_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPK_2018-06-08_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-08-03_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KVR_2018-08-14_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVS_2018-09-03_final.stac-item
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HVC_2018-09-10_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVT_2018-10-13_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KWS_2018-10-23_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLJ_2018-10-29_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVB_2018-11-05_final.stac-item
2018-11-12 11:33:29	ga_s2am_ard_3-2-1_51KUS_2018-11-12_final.stac-item
2018-11-28 11:53:12	ga_s2am_ard_3-2-1_50KPC_2018-11-28_final.stac-item
2018-12-15 11:43:21	ga_s2am_ard_3-2-1_51KUS_2018-12-15_final.stac-item
2019-03-05 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2019-03-05_final.stac-item
2019-05-01 11:33:49	ga_s2am_ard_3-2-1_51KVR_2019-05-01_final.stac-item
2019-06-06 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-06-06_final.stac-item
2019-06-20 11:33:42	ga_s2am_ard_3-2-1_51KXR_2019-06-20_final.stac-item
2019-07-03 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2019-07-03_final.stac-item
2019-07-26 11:56:30	ga_s2am_ard_3-2-1_50JLL_2019-07-26_final.stac-item
2019-08-08 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-08-08_final.stac-item
2019-08-09 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-08-09_final.stac-item
2019-09-01 11:43:30	ga_s2am_ard_3-2-1_51KUS_2019-09-01_final.stac-item
2019-10-11 11:42:57	ga_s2am_ard_3-2-1_51KVU_2019-10-11_final.stac-item
2019-10-21 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-21_final.stac-item
2019-12-07 11:36:55	ga_s2am_ard_3-2-1_51HUC_2019-12-07_final.stac-item
2020-01-18 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-01-18_final.stac-item
2020-02-08 11:42:18	ga_s2am_ard_3-2-1_51KVA_2020-02-08_final.stac-item
2020-02-08 11:42:49	ga_s2am_ard_3-2-1_51KVU_2020-02-08_final.stac-item
2020-02-25 11:32:57	ga_s2am_ard_3-2-1_51KXT_2020-02-25_final.stac-item
2020-03-03 11:26:54	ga_s2am_ard_3-2-1_51HVC_2020-03-03_final.stac-item
2020-04-15 11:36:46	ga_s2am_ard_3-2-1_51HTD_2020-04-15_final.stac-item
2020-04-25 11:36:59	ga_s2am_ard_3-2-1_51HUC_2020-04-25_final.stac-item
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-05-14_final.stac-item
2020-05-27 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-05-27_final.stac-item
2020-05-31 11:52:44	ga_s2am_ard_3-2-1_50KPF_2020-05-31_final
2020-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTT_2020-07-07_final.stac-item
2020-11-20 12:03:47	ga_s2am_ard_3-2-1_50KKB_2020-11-20_final.stac-item
2020-12-01 11:33:38	ga_s2am_ard_3-2-1_51KXR_2020-12-01_final.stac-item
2020-12-04 11:42:44	ga_s2am_ard_3-2-1_51KUV_2020-12-04_final.stac-item
2021-01-23 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-01-23_final.stac-item
2021-02-09 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-02-09_final.stac-item
2021-05-24 11:15:58	ga_s2am_ard_3-2-1_51JXG_2021-05-24_final.stac-item
2021-06-22 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-22_final.stac-item
2021-07-19 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-07-19_final.stac-item
2021-07-31 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-31_final.stac-item
2021-08-21 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-08-21_final.stac-item
2021-09-07 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-09-07_final.stac-item
2021-09-07 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-09-07_final.stac-item
2022-01-15 11:36:43	ga_s2am_ard_3-2-1_51HUD_2022-01-15_final.stac-item
2022-01-18 11:42:13	ga_s2am_ard_3-2-1_51KVB_2022-01-18_final.stac-item
2022-01-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2022-01-21_final.stac-item
2022-02-06 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-02-06_final.stac-item
2022-03-26 11:33:23	ga_s2am_ard_3-2-1_51KWS_2022-03-26_final.stac-item
2022-05-15 11:32:48	ga_s2am_ard_3-2-1_51KWV_2022-05-15_final.stac-item
2022-05-15 11:34:10	ga_s2am_ard_3-2-1_51KXP_2022-05-15_final.stac-item
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final.stac-item
2022-05-21 11:56:32	ga_s2am_ard_3-2-1_50JLL_2022-05-21_final.stac-item
2022-06-03 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-06-03_final.stac-item
2022-06-14 11:32:51	ga_s2am_ard_3-2-1_51KXV_2022-06-14_final.stac-item
2022-08-27 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-08-27_final.stac-item
2022-09-02 11:33:21	ga_s2am_ard_3-2-1_51KXT_2022-09-02_final.stac-item
2022-10-15 11:43:48	ga_s2am_ard_3-2-1_51KUR_2022-10-15_final.stac-item
2022-11-17 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-11-17_final.stac-item
2023-02-19 11:32:52	ga_s2am_ard_3-2-1_51KXU_2023-02-19_nrt.stac-item
2023-03-04 11:42:57	ga_s2am_ard_3-2-1_51KUU_2023-03-04_final
2023-03-28 11:23:11	ga_s2am_ard_3-2-1_51KXT_2023-03-28_final
2023-04-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-04-10_final
2023-04-10 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-04-10_final
2023-06-05 11:52:23	ga_s2am_ard_3-2-1_50KQG_2023-06-05_final
2023-06-29 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-06-29_final
2023-08-14 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-08-14_final
2023-10-23 11:55:26	ga_s2am_ard_3-2-1_50JPP_2023-10-23_final
2023-10-27 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-10-27_final
2023-11-26 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2023-11-26_final
2023-12-09 11:43:06	ga_s2am_ard_3-2-1_51KUT_2023-12-09_final
2023-12-19 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-19_final
2024-03-05 11:32:29	ga_s2am_ard_3-2-1_51KWA_2024-03-05_final
2024-03-12 11:25:06	ga_s2am_ard_3-2-1_51JYK_2024-03-12_final
2024-04-24 11:32:28	ga_s2am_ard_3-2-1_51KXA_2024-04-24_final
2024-05-04 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2024-05-04_final
2024-05-13 12:03:26	ga_s2am_ard_3-2-1_50KMC_2024-05-13_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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