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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGK_2015-12-17_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JPL_2016-01-17_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50KRD_2016-02-19_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51JYJ_2016-03-11_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KPC_2016-04-02_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKB_2016-05-15_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPG_2016-07-08_final.stac-item
2016-08-21 11:26:11	ga_s2am_ard_3-2-1_51JUF_2016-08-21_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_51JZN_2016-09-27_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KKV_2016-12-21_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KLA_2016-12-21_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51HYD_2017-01-25_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50KPC_2017-02-26_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HPK_2017-07-03_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50JQN_2017-07-10_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51HWD_2017-07-24_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKQ_2017-08-08_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50KLU_2017-09-27_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQL_2017-09-28_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGM_2017-09-30_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUR_2018-02-28_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50KLB_2018-10-02_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HNK_2018-10-29_final
2018-11-08 11:53:16	ga_s2am_ard_3-2-1_50KPC_2018-11-08_final
2018-11-22 11:33:19	ga_s2am_ard_3-2-1_51KUS_2018-11-22_final
2018-12-06 11:14:47	ga_s2am_ard_3-2-1_51JYL_2018-12-06_final
2019-01-07 11:53:16	ga_s2am_ard_3-2-1_50KPC_2019-01-07_final
2019-02-19 12:03:40	ga_s2am_ard_3-2-1_50KKB_2019-02-19_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-02-19_final
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2019-04-14_final
2019-04-17 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-04-17_final.stac-item
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-05-10_final
2019-05-18 11:26:09	ga_s2am_ard_3-2-1_51JUG_2019-05-18_final
2019-06-20 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-20_final
2019-06-30 11:36:36	ga_s2am_ard_3-2-1_51HTE_2019-06-30_final
2019-07-14 11:14:34	ga_s2am_ard_3-2-1_51JYN_2019-07-14_final
2019-10-27 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-10-27_final
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_50JKT_2019-12-26_final
2020-01-02 11:54:57	ga_s2am_ard_3-2-1_50JPR_2020-01-02_final
2020-01-15 12:03:17	ga_s2am_ard_3-2-1_50KMC_2020-01-15_final
2020-02-11 11:55:34	ga_s2am_ard_3-2-1_50JLP_2020-02-11_final
2020-02-18 11:43:37	ga_s2am_ard_3-2-1_51KUR_2020-02-18_final
2020-04-24 12:03:46	ga_s2am_ard_3-2-1_50KKB_2020-04-24_final
2020-06-27 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-06-27_final
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-08-09 11:52:40	ga_s2am_ard_3-2-1_50KQF_2020-08-09_final.stac-item
2020-08-23 11:36:52	ga_s2am_ard_3-2-1_51HTD_2020-08-23_final
2020-10-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-10-28_final
2020-11-10 12:05:16	ga_s2am_ard_3-2-1_50JKR_2020-11-10_final
2020-12-14 11:43:48	ga_s2am_ard_3-2-1_50KQA_2020-12-14_final
2020-12-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2020-12-23_final
2021-01-06 11:54:19	ga_s2am_ard_3-2-1_50KPU_2021-01-06_final
2021-03-01 11:34:38	ga_s2am_ard_3-2-1_51JWM_2021-03-01_final
2021-03-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-03-04_final
2021-03-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-03-14_final
2021-03-17 11:53:20	ga_s2am_ard_3-2-1_50KPC_2021-03-17_final
2021-03-24 11:46:18	ga_s2am_ard_3-2-1_50JPL_2021-03-24_final.stac-item
2021-04-30 11:34:15	ga_s2am_ard_3-2-1_51KUP_2021-04-30_final
2021-05-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-05-14_final
2021-05-16 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-05-16_final
2021-06-29 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-06-29_final.stac-item
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-25 11:54:44	ga_s2am_ard_3-2-1_50JMT_2021-07-25_final
2021-07-26 11:27:11	ga_s2am_ard_3-2-1_51HTC_2021-07-26_final
2021-08-27 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-08-27_final
2021-09-10 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-09-10_final
2021-09-10 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-09-10_final.stac-item
2021-10-06 12:06:00	ga_s2am_ard_3-2-1_50JKN_2021-10-06_final
2021-12-10 11:15:09	ga_s2am_ard_3-2-1_51JYK_2021-12-10_final
2022-01-04 12:03:43	ga_s2am_ard_3-2-1_50KLB_2022-01-04_final
2022-01-12 11:25:00	ga_s2am_ard_3-2-1_51JWL_2022-01-12_final
2022-02-16 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-02-16_final
2022-02-24 11:35:21	ga_s2am_ard_3-2-1_51JWJ_2022-02-24_final
2022-03-03 11:26:51	ga_s2am_ard_3-2-1_51HUD_2022-03-03_final
2022-03-12 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-03-12_final
2022-06-14 11:36:57	ga_s2am_ard_3-2-1_51HTD_2022-06-14_final
2022-07-10 11:56:38	ga_s2am_ard_3-2-1_50JLL_2022-07-10_final
2022-07-17 11:42:40	ga_s2am_ard_3-2-1_51KVA_2022-07-17_final
2022-07-23 12:05:19	ga_s2am_ard_3-2-1_49JFM_2022-07-23_final
2022-08-12 12:04:19	ga_s2am_ard_3-2-1_50KMV_2022-08-12_final
2022-08-12 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-08-12_final
2022-09-06 11:16:55	ga_s2am_ard_3-2-1_51HWD_2022-09-06_final.stac-item
2022-09-08 11:53:32	ga_s2am_ard_3-2-1_50KPC_2022-09-08_final.stac-item
2022-09-25 11:44:05	ga_s2am_ard_3-2-1_51KUQ_2022-09-25_final.stac-item
2022-10-22 11:35:17	ga_s2am_ard_3-2-1_51JUK_2022-10-22_final.stac-item
2022-11-21 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-11-21_final.stac-item
2022-12-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-13_final.stac-item
2023-01-20 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2023-01-20_final.stac-item
2023-02-05 11:55:49	ga_s2am_ard_3-2-1_50JLN_2023-02-05_final.stac-item
2023-03-07 11:53:17	ga_s2am_ard_3-2-1_50KPC_2023-03-07_final.stac-item
2023-03-21 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-21_final.stac-item
2023-04-26 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-26_final.stac-item
2023-04-26 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-04-26_final.stac-item
2023-08-28 11:37:23	ga_s2am_ard_3-2-1_50HQG_2023-08-28_final.stac-item
2023-09-04 11:26:38	ga_s2am_ard_3-2-1_51HUE_2023-09-04_final.stac-item
2023-11-03 11:26:57	ga_s2am_ard_3-2-1_51HVC_2023-11-03_final.stac-item
2023-12-25 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-12-25_final.stac-item
2024-01-08 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2024-01-08_final.stac-item
2024-02-04 11:34:13	ga_s2am_ard_3-2-1_51KUP_2024-02-04_final.stac-item
2024-05-07 11:46:40	ga_s2am_ard_3-2-1_50HNK_2024-05-07_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

All years