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
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KRA_2016-04-29_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHS_2016-05-18_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_50KKA_2016-05-25_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNS_2016-10-29_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KUS_2016-12-25_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KUU_2017-03-05_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KUS_2017-05-04_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JXL_2017-06-27_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HMK_2017-07-23_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KUT_2017-09-08_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUF_2017-09-28_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50KQG_2017-10-04_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HVC_2018-04-13_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50KKB_2018-05-15_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JUG_2018-05-26_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JWG_2018-06-12_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HQG_2018-06-25_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50JNP_2018-06-28_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNK_2018-08-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KUB_2018-08-27_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50KQG_2018-09-09_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KUQ_2018-09-13_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JQL_2018-10-13_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final
2018-11-11 12:03:15	ga_s2am_ard_3-2-1_50KNC_2018-11-11_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_50KKB_2018-11-11_final
2018-11-12 11:33:17	ga_s2am_ard_3-2-1_51KUT_2018-11-12_final
2018-11-12 11:35:40	ga_s2am_ard_3-2-1_51JUH_2018-11-12_final
2018-12-15 11:43:10	ga_s2am_ard_3-2-1_50KRC_2018-12-15_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-21_final
2019-02-10 11:33:19	ga_s2am_ard_3-2-1_51KUT_2019-02-10_final
2019-03-04 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-03-04_final.stac-item
2019-04-14 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final
2019-04-14 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-04-14_final
2019-07-17 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-17_final
2019-08-18 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-08-18_final.stac-item
2019-09-04 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-09-04_final
2019-09-08 11:36:56	ga_s2am_ard_3-2-1_51HUC_2019-09-08_final
2019-11-20 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-11-20_final
2019-12-30 11:43:13	ga_s2am_ard_3-2-1_50KRC_2019-12-30_final
2020-02-21 11:55:33	ga_s2am_ard_3-2-1_50JMP_2020-02-21_final
2020-03-16 11:36:23	ga_s2am_ard_3-2-1_50JPL_2020-03-16_final
2020-04-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-04-08_final.stac-item
2020-06-11 11:25:45	ga_s2am_ard_3-2-1_51JXH_2020-06-11_final
2020-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTT_2020-07-07_final
2020-09-12 11:36:32	ga_s2am_ard_3-2-1_51HUE_2020-09-12_final
2020-11-28 11:26:59	ga_s2am_ard_3-2-1_51HVC_2020-11-28_final
2020-12-04 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2020-12-04_final
2020-12-17 11:55:57	ga_s2am_ard_3-2-1_50JKN_2020-12-17_final
2020-12-18 11:24:27	ga_s2am_ard_3-2-1_51JWN_2020-12-18_final
2021-01-03 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-01-03_final
2021-01-03 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-01-03_final
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final.stac-item
2021-01-10 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-01-10_final
2021-01-16 11:53:25	ga_s2am_ard_3-2-1_50KNC_2021-01-16_final
2021-02-08 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-02-08_final
2021-03-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-03-21_final.stac-item
2021-04-23 11:47:17	ga_s2am_ard_3-2-1_50HNG_2021-04-23_final.stac-item
2021-06-09 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-09_final
2021-06-18 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-06-18_final
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-07-11_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-21 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-21_final
2021-08-01 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-01_final
2021-08-04 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-08-04_final
2021-08-18 11:36:49	ga_s2am_ard_3-2-1_51HTD_2021-08-18_final
2021-10-10 11:43:34	ga_s2am_ard_3-2-1_51KUS_2021-10-10_final
2021-10-20 11:45:37	ga_s2am_ard_3-2-1_50JQP_2021-10-20_final
2021-10-31 11:14:42	ga_s2am_ard_3-2-1_51JZM_2021-10-31_final
2021-11-02 11:53:15	ga_s2am_ard_3-2-1_50KRC_2021-11-02_final
2022-03-09 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-03-09_final
2022-04-29 11:17:04	ga_s2am_ard_3-2-1_51HWC_2022-04-29_final.stac-item
2022-05-12 11:25:13	ga_s2am_ard_3-2-1_51JXK_2022-05-12_final
2022-06-03 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-06-03_final
2022-07-24 11:36:21	ga_s2am_ard_3-2-1_51JVF_2022-07-24_final
2022-09-06 11:17:10	ga_s2am_ard_3-2-1_51HWC_2022-09-06_final.stac-item
2022-09-24 12:15:07	ga_s2am_ard_3-2-1_49JFM_2022-09-24_final.stac-item
2022-11-10 12:03:30	ga_s2am_ard_3-2-1_50KLC_2022-11-10_final.stac-item
2022-11-15 11:14:26	ga_s2am_ard_3-2-1_51JZN_2022-11-15_final.stac-item
2022-11-17 11:53:22	ga_s2am_ard_3-2-1_50KQC_2022-11-17_final.stac-item
2022-11-17 11:55:55	ga_s2am_ard_3-2-1_50JMN_2022-11-17_final.stac-item
2023-03-05 11:16:19	ga_s2am_ard_3-2-1_51HYE_2023-03-05_final.stac-item
2023-03-31 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-31_final.stac-item
2023-06-22 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2023-06-22_final.stac-item
2023-07-18 12:06:00	ga_s2am_ard_3-2-1_50JKN_2023-07-18_final.stac-item
2023-07-29 11:34:20	ga_s2am_ard_3-2-1_51JXN_2023-07-29_final.stac-item
2023-09-13 11:53:15	ga_s2am_ard_3-2-1_50KRC_2023-09-13_final.stac-item
2023-09-24 11:24:39	ga_s2am_ard_3-2-1_51JYM_2023-09-24_final.stac-item
2023-09-26 12:03:22	ga_s2am_ard_3-2-1_50KNC_2023-09-26_final.stac-item
2023-10-10 11:43:02	ga_s2am_ard_3-2-1_51KTU_2023-10-10_final.stac-item
2023-11-19 11:42:43	ga_s2am_ard_3-2-1_51KUV_2023-11-19_final.stac-item
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_50KKB_2024-01-24_final.stac-item
2024-02-17 11:43:02	ga_s2am_ard_3-2-1_50KRD_2024-02-17_final.stac-item
2024-03-08 11:47:07	ga_s2am_ard_3-2-1_50HNH_2024-03-08_final.stac-item
2024-03-14 12:03:44	ga_s2am_ard_3-2-1_50KKB_2024-03-14_final.stac-item
2024-03-28 11:43:29	ga_s2am_ard_3-2-1_51KUS_2024-03-28_final.stac-item
2024-05-13 12:04:49	ga_s2am_ard_3-2-1_49JGN_2024-05-13_nrt.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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