Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPG_2016-09-26_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLK_2016-10-29_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KWS_2016-11-12_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUT_2017-01-14_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWQ_2017-05-31_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPK_2017-09-01_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWR_2018-01-06_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKP_2018-05-25_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51KZQ_2018-05-30_final
2018-11-22 11:32:07	ga_s2am_ard_3-2-1_51KWB_2018-11-22_final
2018-11-22 11:32:54	ga_s2am_ard_3-2-1_51KVU_2018-11-22_final
2018-11-22 11:33:31	ga_s2am_ard_3-2-1_51KXR_2018-11-22_final
2018-11-25 11:43:04	ga_s2am_ard_3-2-1_51KVT_2018-11-25_final
2018-12-25 11:44:05	ga_s2am_ard_3-2-1_51KUP_2018-12-25_final
2018-12-26 11:13:47	ga_s2am_ard_3-2-1_51KZQ_2018-12-26_final
2019-01-01 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2019-01-01_final
2019-02-03 11:43:12	ga_s2am_ard_3-2-1_51KUT_2019-02-03_final
2019-02-27 11:23:34	ga_s2am_ard_3-2-1_51KYR_2019-02-27_final
2019-05-04 11:42:46	ga_s2am_ard_3-2-1_51KVV_2019-05-04_final
2019-05-28 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2019-05-28_final
2019-05-31 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2019-05-31_final
2019-06-20 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-06-20_final
2019-08-06 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2019-08-06_final
2019-10-08 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-10-08_final
2019-11-27 11:34:37	ga_s2am_ard_3-2-1_50JRT_2019-11-27_final
2019-12-24 11:23:44	ga_s2am_ard_3-2-1_51KZQ_2019-12-24_final
2019-12-27 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2019-12-27_final
2020-01-03 11:22:55	ga_s2am_ard_3-2-1_51KXU_2020-01-03_final
2020-01-09 11:42:08	ga_s2am_ard_3-2-1_51KVB_2020-01-09_final
2020-01-15 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-01-15_final
2020-01-23 11:23:43	ga_s2am_ard_3-2-1_51KZQ_2020-01-23_final
2020-04-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-04-05_final
2020-05-25 11:33:10	ga_s2am_ard_3-2-1_51KWT_2020-05-25_final
2020-06-20 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-20_final
2020-06-21 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-06-21_final
2020-09-19 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2020-09-19_final
2020-10-25 11:43:22	ga_s2am_ard_3-2-1_51KTT_2020-10-25_final
2021-01-03 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2021-01-03_final
2021-01-09 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-01-09_final
2021-01-23 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-01-23_final
2021-02-06 11:24:55	ga_s2am_ard_3-2-1_51JXL_2021-02-06_final
2021-02-16 11:24:11	ga_s2am_ard_3-2-1_51KXP_2021-02-16_final
2021-02-26 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2021-02-26_final
2021-02-28 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-02-28_final
2021-04-10 11:36:56	ga_s2am_ard_3-2-1_51HTC_2021-04-10_final
2021-04-13 11:46:32	ga_s2am_ard_3-2-1_50HNK_2021-04-13_final
2021-04-20 11:34:06	ga_s2am_ard_3-2-1_51KWP_2021-04-20_final
2021-05-23 11:42:17	ga_s2am_ard_3-2-1_51KUB_2021-05-23_final.stac-item
2021-05-27 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-05-27_final
2021-06-16 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-06-16_final
2021-06-16 11:26:55	ga_s2am_ard_3-2-1_51HWC_2021-06-16_final.stac-item
2021-06-16 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-06-16_final
2021-06-29 11:34:17	ga_s2am_ard_3-2-1_51JXN_2021-06-29_final
2021-07-28 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-07-28_final
2021-07-31 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-07-31_final
2021-08-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-07_final
2021-08-28 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2021-08-28_final
2021-09-07 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-09-07_final
2021-09-17 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final
2021-09-20 11:42:38	ga_s2am_ard_3-2-1_51KVV_2021-09-20_final
2021-10-20 11:43:20	ga_s2am_ard_3-2-1_51KUT_2021-10-20_final
2021-11-19 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-11-19_final
2021-11-29 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-11-29_final
2021-12-13 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2021-12-13_final
2022-01-02 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2022-01-02_final
2022-02-04 11:34:17	ga_s2am_ard_3-2-1_51KUP_2022-02-04_final
2022-02-11 11:24:11	ga_s2am_ard_3-2-1_51KXP_2022-02-11_final
2022-03-23 11:23:46	ga_s2am_ard_3-2-1_51KXR_2022-03-23_final
2022-04-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-04-04_final
2022-04-15 11:33:26	ga_s2am_ard_3-2-1_51KXS_2022-04-15_final
2022-05-02 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2022-05-02_final
2022-05-25 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-05-25_final
2022-08-06 11:42:39	ga_s2am_ard_3-2-1_51KVA_2022-08-06_final
2022-09-12 11:34:16	ga_s2am_ard_3-2-1_51KXP_2022-09-12_final.stac-item
2022-09-19 11:23:58	ga_s2am_ard_3-2-1_51KZQ_2022-09-19_final.stac-item
2022-10-02 11:34:00	ga_s2am_ard_3-2-1_51KXQ_2022-10-02_final.stac-item
2022-10-25 11:43:03	ga_s2am_ard_3-2-1_51KUU_2022-10-25_final.stac-item
2022-11-10 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-11-10_final.stac-item
2022-11-11 11:36:50	ga_s2am_ard_3-2-1_51HTD_2022-11-11_final.stac-item
2022-11-28 11:23:39	ga_s2am_ard_3-2-1_51KYR_2022-11-28_final.stac-item
2022-12-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-12-04_final.stac-item
2023-01-12 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-01-12_final.stac-item
2023-01-17 11:23:35	ga_s2am_ard_3-2-1_51KYR_2023-01-17_final.stac-item
2023-02-02 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-02_final.stac-item
2023-02-15 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-02-15_final.stac-item
2023-05-03 11:43:18	ga_s2am_ard_3-2-1_51KTT_2023-05-03_final.stac-item
2023-05-20 11:33:40	ga_s2am_ard_3-2-1_51KXR_2023-05-20_final.stac-item
2023-05-20 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2023-05-20_final.stac-item
2023-08-08 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-08-08_final.stac-item
2023-08-28 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-08-28_final.stac-item
2023-09-04 11:24:20	ga_s2am_ard_3-2-1_51KWP_2023-09-04_final.stac-item
2023-11-19 11:43:15	ga_s2am_ard_3-2-1_51KTT_2023-11-19_final.stac-item
2023-11-23 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-11-23_final.stac-item
2023-12-06 11:34:09	ga_s2am_ard_3-2-1_51JXN_2023-12-06_final.stac-item
2023-12-13 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2023-12-13_final.stac-item
2024-01-05 11:33:30	ga_s2am_ard_3-2-1_51KUS_2024-01-05_final.stac-item
2024-02-06 12:13:50	ga_s2am_ard_3-2-1_50KKA_2024-02-06_final.stac-item
2024-03-12 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2024-03-12_final.stac-item
2024-03-15 11:33:30	ga_s2am_ard_3-2-1_51KVS_2024-03-15_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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