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
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUF_2016-04-06_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_50KKA_2016-08-06_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51HTD_2016-11-02_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGN_2017-01-20_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51KYP_2017-04-28_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_51KXV_2017-10-18_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTU_2017-12-10_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQH_2018-01-06_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KVS_2018-03-10_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KWV_2018-04-26_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51JUN_2018-05-06_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUV_2018-05-09_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51HUC_2018-05-16_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KTT_2018-07-08_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KVV_2018-10-13_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KXB_2018-10-23_final
2018-11-09 11:25:19	ga_s2am_ard_3-2-1_51JXJ_2018-11-09_final
2018-11-12 11:37:12	ga_s2am_ard_3-2-1_50HQG_2018-11-12_final.stac-item
2018-12-06 11:16:03	ga_s2am_ard_3-2-1_51JXF_2018-12-06_final
2018-12-29 11:26:40	ga_s2am_ard_3-2-1_51HUD_2018-12-29_final
2019-01-21 11:32:40	ga_s2am_ard_3-2-1_51KWV_2019-01-21_final
2019-04-21 11:32:25	ga_s2am_ard_3-2-1_51KYA_2019-04-21_final
2019-05-01 11:36:32	ga_s2am_ard_3-2-1_51HUE_2019-05-01_final
2019-05-07 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-07_final.stac-item
2019-06-27 11:25:14	ga_s2am_ard_3-2-1_51JXK_2019-06-27_final
2019-08-05 11:53:15	ga_s2am_ard_3-2-1_50KRC_2019-08-05_final
2019-08-05 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-08-05_final
2019-08-09 11:32:47	ga_s2am_ard_3-2-1_51KWV_2019-08-09_final
2019-09-01 11:43:01	ga_s2am_ard_3-2-1_51KUU_2019-09-01_final
2019-10-08 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-10-08_final
2019-10-20 12:14:02	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2019-10-25 11:23:42	ga_s2am_ard_3-2-1_51KYR_2019-10-25_final
2019-11-20 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-11-20_final
2019-11-20 11:47:03	ga_s2am_ard_3-2-1_50HPH_2019-11-20_final
2019-11-24 11:25:39	ga_s2am_ard_3-2-1_51JXH_2019-11-24_final
2019-12-13 11:53:17	ga_s2am_ard_3-2-1_50KPC_2019-12-13_final
2019-12-26 12:03:35	ga_s2am_ard_3-2-1_50KLB_2019-12-26_final
2020-02-28 11:43:07	ga_s2am_ard_3-2-1_51KVT_2020-02-28_final
2020-06-10 11:52:26	ga_s2am_ard_3-2-1_50KQG_2020-06-10_final.stac-item
2020-06-24 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2020-06-24_final
2020-06-27 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-06-27_final
2020-07-10 11:52:24	ga_s2am_ard_3-2-1_50KQG_2020-07-10_final.stac-item
2020-07-23 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-23_final
2020-08-10 11:27:08	ga_s2am_ard_3-2-1_51HUC_2020-08-10_final
2020-08-13 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-08-13_final
2020-09-12 11:34:18	ga_s2am_ard_3-2-1_51KVP_2020-09-12_final
2020-09-18 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-09-18_final
2020-09-19 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-09-19_final
2020-10-05 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-10-05_final
2020-10-08 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-08_final
2020-10-25 11:42:18	ga_s2am_ard_3-2-1_51KVB_2020-10-25_final
2020-11-21 11:32:42	ga_s2am_ard_3-2-1_51KXV_2020-11-21_final
2021-01-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-29_final
2021-02-16 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-02-16_final
2021-03-08 11:24:08	ga_s2am_ard_3-2-1_51KYP_2021-03-08_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-04-13 11:44:07	ga_s2am_ard_3-2-1_51KUP_2021-04-13_final
2021-04-23 11:43:14	ga_s2am_ard_3-2-1_51KTT_2021-04-23_final
2021-04-26 11:56:22	ga_s2am_ard_3-2-1_50JLL_2021-04-26_final
2021-06-28 12:04:26	ga_s2am_ard_3-2-1_50KLU_2021-06-28_final
2021-06-29 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-06-29_final.stac-item
2021-08-02 11:15:46	ga_s2am_ard_3-2-1_51JXH_2021-08-02_final
2021-08-08 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-08-08_final
2021-10-23 11:53:16	ga_s2am_ard_3-2-1_50KRC_2021-10-23_final
2021-10-27 11:32:34	ga_s2am_ard_3-2-1_51KWA_2021-10-27_final
2021-11-10 11:14:26	ga_s2am_ard_3-2-1_51JZN_2021-11-10_final
2021-12-23 11:26:01	ga_s2am_ard_3-2-1_51JVG_2021-12-23_final
2022-01-31 11:55:56	ga_s2am_ard_3-2-1_50JLN_2022-01-31_final
2022-06-03 12:04:07	ga_s2am_ard_3-2-1_49KHR_2022-06-03_final
2022-06-04 11:34:22	ga_s2am_ard_3-2-1_51KVP_2022-06-04_final.stac-item
2022-06-04 11:37:00	ga_s2am_ard_3-2-1_50HPJ_2022-06-04_final
2022-06-06 12:15:04	ga_s2am_ard_3-2-1_49JGM_2022-06-06_final
2022-06-07 11:43:11	ga_s2am_ard_3-2-1_51KTU_2022-06-07_final
2022-06-17 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-06-17_final
2022-06-27 11:42:34	ga_s2am_ard_3-2-1_51KWA_2022-06-27_final
2022-09-08 11:56:22	ga_s2am_ard_3-2-1_50JLM_2022-09-08_final.stac-item
2022-11-27 11:52:37	ga_s2am_ard_3-2-1_50KPF_2022-11-27_final.stac-item
2022-12-01 11:34:32	ga_s2am_ard_3-2-1_51JUN_2022-12-01_final.stac-item
2022-12-31 11:33:01	ga_s2am_ard_3-2-1_51KYT_2022-12-31_final.stac-item
2023-02-13 11:16:20	ga_s2am_ard_3-2-1_51HYE_2023-02-13_final.stac-item
2023-03-04 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-03-04_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-03-23_final.stac-item
2023-03-27 11:55:51	ga_s2am_ard_3-2-1_50JMN_2023-03-27_final.stac-item
2023-04-13 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-04-13_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-06-26 11:25:45	ga_s2am_ard_3-2-1_51JWH_2023-06-26_final.stac-item
2023-06-29 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-29_final.stac-item
2023-09-07 11:33:07	ga_s2am_ard_3-2-1_51KVU_2023-09-07_final.stac-item
2023-10-27 11:32:29	ga_s2am_ard_3-2-1_51KWA_2023-10-27_final.stac-item
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_50KKB_2023-12-25_final.stac-item
2024-02-10 11:53:14	ga_s2am_ard_3-2-1_50KQC_2024-02-10_final.stac-item
2024-02-21 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2024-02-21_final.stac-item
2024-03-11 11:55:03	ga_s2am_ard_3-2-1_50JPR_2024-03-11_final.stac-item
2024-05-08 11:15:13	ga_s2am_ard_3-2-1_51JYK_2024-05-08_final.stac-item
2024-05-10 11:57:09	ga_s2am_ard_3-2-1_50HMH_2024-05-10_final.stac-item
2024-05-11 11:26:50	ga_s2am_ard_3-2-1_51HUD_2024-05-11_final.stac-item
2024-05-27 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2024-05-27_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

All years