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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50KRD_2015-12-21_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50KQC_2016-05-09_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMK_2016-10-09_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKS_2016-10-12_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KKB_2016-11-01_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKR_2017-01-30_final
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHR_2017-05-20_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-06-22_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_50KKA_2017-08-01_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51HWC_2017-08-26_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQL_2017-09-28_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKB_2017-11-19_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JWG_2018-02-12_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50KPC_2018-08-20_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JPR_2018-08-30_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVJ_2018-08-31_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KPC_2018-09-29_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-09-29_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HUD_2018-10-10_final
2018-11-08 11:53:20	ga_s2am_ard_3-2-1_50KNC_2018-11-08_final
2018-11-25 11:46:26	ga_s2am_ard_3-2-1_50HPK_2018-11-25_final
2019-04-20 12:03:59	ga_s2am_ard_3-2-1_50KLA_2019-04-20_final
2019-05-20 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-05-20_final
2019-06-06 11:56:10	ga_s2am_ard_3-2-1_50JMM_2019-06-06_final
2019-09-07 12:04:27	ga_s2am_ard_3-2-1_50KKU_2019-09-07_final
2019-09-22 11:16:23	ga_s2am_ard_3-2-1_51HYE_2019-09-22_final
2019-11-17 11:37:04	ga_s2am_ard_3-2-1_50HQH_2019-11-17_final
2019-12-20 11:46:13	ga_s2am_ard_3-2-1_50JPL_2019-12-20_final
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final
2020-02-01 11:55:42	ga_s2am_ard_3-2-1_50JNN_2020-02-01_final
2020-02-02 11:26:54	ga_s2am_ard_3-2-1_51HUC_2020-02-02_final
2020-02-09 11:16:33	ga_s2am_ard_3-2-1_51HXD_2020-02-09_final
2020-02-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2020-02-15_final
2020-02-24 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-02-24_final
2020-03-06 11:35:37	ga_s2am_ard_3-2-1_51JVH_2020-03-06_final
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-04-27 12:13:57	ga_s2am_ard_3-2-1_49KHR_2020-04-27_final
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final
2020-06-17 11:43:28	ga_s2am_ard_3-2-1_50KQC_2020-06-17_final
2020-07-14 11:34:36	ga_s2am_ard_3-2-1_51JUN_2020-07-14_final
2020-08-06 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-08-06_final
2020-08-13 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-08-13_final
2020-09-08 11:52:24	ga_s2am_ard_3-2-1_50KQG_2020-09-08_final.stac-item
2020-09-12 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-09-12_final
2020-09-12 11:36:50	ga_s2am_ard_3-2-1_51HTD_2020-09-12_final
2020-10-28 11:53:30	ga_s2am_ard_3-2-1_50KNC_2020-10-28_final
2020-11-01 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-11-01_final
2020-11-04 11:43:26	ga_s2am_ard_3-2-1_50KQC_2020-11-04_final
2021-01-23 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-01-23_final
2021-02-12 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-02-12_final
2021-03-25 11:16:39	ga_s2am_ard_3-2-1_51HXD_2021-03-25_final
2021-03-27 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final
2021-03-31 11:36:40	ga_s2am_ard_3-2-1_51HUD_2021-03-31_final
2021-04-13 11:46:10	ga_s2am_ard_3-2-1_50JQL_2021-04-13_final
2021-05-07 11:25:12	ga_s2am_ard_3-2-1_51JWK_2021-05-07_final
2021-06-11 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-06-11_final
2021-06-28 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-06-28_final
2021-07-05 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-07-05_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-09-03 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-09-03_final
2021-10-27 11:34:34	ga_s2am_ard_3-2-1_51JVN_2021-10-27_final
2021-12-09 11:47:23	ga_s2am_ard_3-2-1_50HMG_2021-12-09_final.stac-item
2021-12-25 12:03:25	ga_s2am_ard_3-2-1_50KMC_2021-12-25_final
2021-12-26 11:34:33	ga_s2am_ard_3-2-1_51JUN_2021-12-26_final
2022-01-21 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-01-21_final.stac-item
2022-01-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-01-27_final
2022-02-10 11:56:29	ga_s2am_ard_3-2-1_50HNK_2022-02-10_final
2022-03-29 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2022-03-29_final
2022-04-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2022-04-28_final
2022-06-03 12:05:49	ga_s2am_ard_3-2-1_50JKP_2022-06-03_final
2022-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2022-06-07_final.stac-item
2022-06-16 12:15:31	ga_s2am_ard_3-2-1_49JGK_2022-06-16_final
2022-06-24 11:36:55	ga_s2am_ard_3-2-1_51HUD_2022-06-24_final
2022-06-27 11:43:34	ga_s2am_ard_3-2-1_50KQC_2022-06-27_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-12-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-12-01_final.stac-item
2022-12-04 11:45:47	ga_s2am_ard_3-2-1_50JQN_2022-12-04_final.stac-item
2022-12-14 11:46:08	ga_s2am_ard_3-2-1_50JNM_2022-12-14_final.stac-item
2022-12-30 12:04:27	ga_s2am_ard_3-2-1_49KHP_2022-12-30_final.stac-item
2023-04-26 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-26_final.stac-item
2023-04-29 12:03:38	ga_s2am_ard_3-2-1_50KMB_2023-04-29_final.stac-item
2023-04-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-29_final.stac-item
2023-05-29 12:03:27	ga_s2am_ard_3-2-1_50KMC_2023-05-29_final.stac-item
2023-05-29 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-05-29_final.stac-item
2023-07-05 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2023-07-05_final.stac-item
2023-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-07-05_final.stac-item
2023-10-24 11:26:44	ga_s2am_ard_3-2-1_51HVD_2023-10-24_final.stac-item
2024-01-11 11:52:29	ga_s2am_ard_3-2-1_50KQF_2024-01-11_final.stac-item
2024-01-21 11:55:05	ga_s2am_ard_3-2-1_50JLR_2024-01-21_final.stac-item
2024-01-24 12:03:34	ga_s2am_ard_3-2-1_50KLB_2024-01-24_final.stac-item
2024-02-07 11:44:27	ga_s2am_ard_3-2-1_51JTN_2024-02-07_final.stac-item
2024-02-13 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-02-13_final.stac-item
2024-02-14 11:35:48	ga_s2am_ard_3-2-1_50JQN_2024-02-14_final.stac-item
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_50KKA_2024-02-26_final.stac-item
2024-03-02 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-03-02_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