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
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JQN_2016-02-19_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KWU_2016-04-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPL_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JPL_2016-04-29_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUE_2016-06-12_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPG_2016-06-25_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKN_2016-08-23_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KWR_2016-11-12_final.stac-item
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KXR_2017-02-27_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2017-05-03_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KKB_2017-06-19_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JKP_2017-09-27_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JML_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKP_2018-03-16_final
2018-05-12 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-05-12_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KVT_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUT_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUU_2018-10-26_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVU_2018-11-02_final
2018-11-25 11:42:20	ga_s2am_ard_3-2-1_51KVA_2018-11-25_final
2018-12-19 11:26:53	ga_s2am_ard_3-2-1_51HUC_2018-12-19_final
2019-03-05 11:42:55	ga_s2am_ard_3-2-1_51KUU_2019-03-05_final
2019-05-31 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-05-31_final
2019-06-07 11:24:04	ga_s2am_ard_3-2-1_51KXQ_2019-06-07_final
2019-06-07 11:25:44	ga_s2am_ard_3-2-1_51JWH_2019-06-07_final
2019-06-13 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-06-13_final
2019-07-17 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2019-07-17_final
2019-10-28 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-10-28_final
2019-10-28 11:33:19	ga_s2am_ard_3-2-1_51KVT_2019-10-28_final
2019-10-31 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-10-31_final
2019-12-07 11:33:10	ga_s2am_ard_3-2-1_51KWT_2019-12-07_final
2019-12-14 11:25:05	ga_s2am_ard_3-2-1_51JXK_2019-12-14_final
2020-01-29 11:43:04	ga_s2am_ard_3-2-1_51KTU_2020-01-29_final
2020-02-18 11:44:10	ga_s2am_ard_3-2-1_51KTP_2020-02-18_final
2020-02-25 11:33:18	ga_s2am_ard_3-2-1_51KXS_2020-02-25_final
2020-02-28 11:42:55	ga_s2am_ard_3-2-1_51KUU_2020-02-28_final
2020-04-01 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-04-01_final
2020-04-04 12:04:03	ga_s2am_ard_3-2-1_50KKV_2020-04-04_final
2020-05-08 11:43:26	ga_s2am_ard_3-2-1_50KQC_2020-05-08_final
2020-06-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-06-27_final
2020-07-10 11:53:07	ga_s2am_ard_3-2-1_50KQD_2020-07-10_final.stac-item
2020-07-30 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-07-30_final
2020-08-26 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-08-26_final
2020-09-12 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2020-09-12_final
2020-10-14 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-14_final
2020-10-28 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-10-28_final
2020-11-14 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-11-14_final
2020-11-28 11:26:59	ga_s2am_ard_3-2-1_51HVC_2020-11-28_final
2020-12-14 11:42:25	ga_s2am_ard_3-2-1_51KVA_2020-12-14_final
2021-01-13 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-01-13_final
2021-02-25 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-02-25_final.stac-item
2021-04-26 11:52:16	ga_s2am_ard_3-2-1_50KQG_2021-04-26_final.stac-item
2021-04-29 12:03:41	ga_s2am_ard_3-2-1_50KKB_2021-04-29_final
2021-04-30 11:34:08	ga_s2am_ard_3-2-1_51KWP_2021-04-30_final
2021-06-09 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-06-09_final
2021-06-09 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-09_final
2021-06-19 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-06-19_final
2021-07-19 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2021-07-19_final
2021-07-25 11:52:23	ga_s2am_ard_3-2-1_50KQG_2021-07-25_final.stac-item
2021-07-29 11:35:15	ga_s2am_ard_3-2-1_51JVK_2021-07-29_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-08-18 11:35:10	ga_s2am_ard_3-2-1_51JWK_2021-08-18_final
2021-08-24 11:53:13	ga_s2am_ard_3-2-1_50KRC_2021-08-24_final
2021-09-10 11:42:28	ga_s2am_ard_3-2-1_51KVA_2021-09-10_final
2021-11-02 11:52:24	ga_s2am_ard_3-2-1_50KQG_2021-11-02_final.stac-item
2021-11-06 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-11-06_final
2021-11-12 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-11-12_final.stac-item
2021-11-26 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-11-26_final
2021-12-02 11:53:31	ga_s2am_ard_3-2-1_50KQB_2021-12-02_final
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2022-01-05 11:32:13	ga_s2am_ard_3-2-1_51KXB_2022-01-05_final
2022-02-04 11:37:17	ga_s2am_ard_3-2-1_50HQG_2022-02-04_final.stac-item
2022-03-16 11:33:38	ga_s2am_ard_3-2-1_51KUS_2022-03-16_final
2022-03-22 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-22_final
2022-05-05 11:36:40	ga_s2am_ard_3-2-1_51HTE_2022-05-05_final
2022-07-11 11:24:28	ga_s2am_ard_3-2-1_51KWP_2022-07-11_final
2022-08-13 11:33:39	ga_s2am_ard_3-2-1_51KWS_2022-08-13_final
2022-09-02 11:34:17	ga_s2am_ard_3-2-1_51KXP_2022-09-02_final.stac-item
2022-09-25 11:42:53	ga_s2am_ard_3-2-1_51KUV_2022-09-25_final.stac-item
2022-11-01 11:32:50	ga_s2am_ard_3-2-1_51KVV_2022-11-01_final.stac-item
2022-12-21 11:34:35	ga_s2am_ard_3-2-1_50JRT_2022-12-21_final.stac-item
2023-02-12 11:43:13	ga_s2am_ard_3-2-1_51KUT_2023-02-12_final.stac-item
2023-03-01 11:33:31	ga_s2am_ard_3-2-1_51KUS_2023-03-01_final.stac-item
2023-03-28 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2023-03-28_final.stac-item
2023-04-03 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2023-04-03_final.stac-item
2023-04-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-04-10_final.stac-item
2023-05-06 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-05-06_final.stac-item
2023-05-30 11:34:14	ga_s2am_ard_3-2-1_51KWP_2023-05-30_final.stac-item
2023-06-18 12:05:56	ga_s2am_ard_3-2-1_50JLN_2023-06-18_final.stac-item
2023-06-29 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-06-29_final.stac-item
2023-07-12 11:42:33	ga_s2am_ard_3-2-1_51KVA_2023-07-12_final.stac-item
2023-07-19 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-07-19_final.stac-item
2023-09-27 11:32:49	ga_s2am_ard_3-2-1_51KVV_2023-09-27_final.stac-item
2023-11-06 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2023-11-06_final.stac-item
2023-11-19 11:42:11	ga_s2am_ard_3-2-1_51KVB_2023-11-19_final.stac-item
2023-11-19 11:42:43	ga_s2am_ard_3-2-1_51KUV_2023-11-19_final.stac-item
2023-11-26 11:32:41	ga_s2am_ard_3-2-1_51KVV_2023-11-26_final.stac-item
2024-03-25 11:32:30	ga_s2am_ard_3-2-1_51KWA_2024-03-25_final.stac-item
2024-03-31 11:57:08	ga_s2am_ard_3-2-1_50HLH_2024-03-31_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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