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
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51HVE_2015-09-29_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMC_2016-07-21_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51HTD_2016-08-24_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51JXH_2016-08-31_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2016-09-12_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNM_2016-10-29_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JKN_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-31_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JXL_2017-02-27_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51HXE_2017-06-14_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQJ_2017-07-10_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KVV_2017-07-30_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JML_2017-12-10_final
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_49KHR_2018-01-15_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KRD_2018-02-08_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50KMC_2018-03-16_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_50KRB_2018-03-20_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPH_2018-05-06_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JKM_2018-05-12_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51JVH_2018-05-13_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KQC_2018-05-29_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JVF_2018-07-02_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HVE_2018-10-23_final
2018-11-12 11:37:16	ga_s2am_ard_3-2-1_50HPG_2018-11-12_final.stac-item
2018-11-22 11:35:19	ga_s2am_ard_3-2-1_51JVJ_2018-11-22_final
2018-11-29 11:24:55	ga_s2am_ard_3-2-1_51JVL_2018-11-29_final
2018-12-18 11:53:16	ga_s2am_ard_3-2-1_50KNC_2018-12-18_final
2019-04-07 11:53:18	ga_s2am_ard_3-2-1_50KQC_2019-04-07_final
2019-05-18 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2019-05-18_final
2019-05-24 11:43:22	ga_s2am_ard_3-2-1_50KRC_2019-05-24_final
2019-06-27 11:25:43	ga_s2am_ard_3-2-1_51JXH_2019-06-27_final
2019-07-20 11:36:22	ga_s2am_ard_3-2-1_51JTF_2019-07-20_final
2019-07-27 11:25:14	ga_s2am_ard_3-2-1_51JXK_2019-07-27_final
2019-09-14 11:56:39	ga_s2am_ard_3-2-1_50HLK_2019-09-14_final
2019-10-11 11:42:16	ga_s2am_ard_3-2-1_51KVB_2019-10-11_final
2019-11-10 11:43:07	ga_s2am_ard_3-2-1_51KVT_2019-11-10_final
2019-11-11 11:14:58	ga_s2am_ard_3-2-1_51JYL_2019-11-11_final
2019-11-19 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2019-11-19_final
2020-01-02 11:53:12	ga_s2am_ard_3-2-1_50KQC_2020-01-02_final
2020-03-19 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2020-03-19_final
2020-04-08 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2020-04-08_final
2020-04-22 11:25:07	ga_s2am_ard_3-2-1_51JYK_2020-04-22_final
2020-04-28 11:46:40	ga_s2am_ard_3-2-1_50HNK_2020-04-28_final
2020-05-05 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2020-05-05_final
2020-05-17 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-05-17_final
2020-06-03 12:04:49	ga_s2am_ard_3-2-1_50JKT_2020-06-03_final
2020-06-14 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-06-14_final
2020-06-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-06-23_final
2020-08-03 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-08-03_final
2020-08-17 11:16:46	ga_s2am_ard_3-2-1_51HXD_2020-08-17_final
2020-09-01 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-09-01_final
2020-09-18 11:54:56	ga_s2am_ard_3-2-1_50JNS_2020-09-18_final
2020-11-18 11:27:01	ga_s2am_ard_3-2-1_51HVC_2020-11-18_final
2021-05-13 11:43:43	ga_s2am_ard_3-2-1_51KUR_2021-05-13_final
2021-05-16 11:53:17	ga_s2am_ard_3-2-1_50KQC_2021-05-16_final
2021-07-08 12:03:26	ga_s2am_ard_3-2-1_50KMC_2021-07-08_final
2021-07-28 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-28_final
2021-08-21 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-21_final.stac-item
2021-09-03 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-09-03_final
2021-09-13 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-13_final
2021-09-21 11:15:45	ga_s2am_ard_3-2-1_51JXH_2021-09-21_final
2021-10-13 11:53:30	ga_s2am_ard_3-2-1_50KNC_2021-10-13_final
2021-12-12 11:53:53	ga_s2am_ard_3-2-1_50KNA_2021-12-12_final
2021-12-19 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-12-19_final
2021-12-26 11:34:56	ga_s2am_ard_3-2-1_51JWL_2021-12-26_final
2022-01-04 12:03:57	ga_s2am_ard_3-2-1_50KLA_2022-01-04_final
2022-03-22 11:56:21	ga_s2am_ard_3-2-1_50JNL_2022-03-22_final
2022-04-05 11:33:03	ga_s2am_ard_3-2-1_51KVU_2022-04-05_final
2022-04-12 11:25:08	ga_s2am_ard_3-2-1_51JYK_2022-04-12_final
2022-07-07 11:46:47	ga_s2am_ard_3-2-1_50HPK_2022-07-07_final
2022-08-09 11:54:25	ga_s2am_ard_3-2-1_50KQU_2022-08-09_final
2022-08-26 11:43:16	ga_s2am_ard_3-2-1_51KTU_2022-08-26_final
2022-08-29 11:52:32	ga_s2am_ard_3-2-1_50KQG_2022-08-29_final.stac-item
2022-08-29 11:56:30	ga_s2am_ard_3-2-1_50JNL_2022-08-29_final
2022-09-09 11:25:56	ga_s2am_ard_3-2-1_51JWH_2022-09-09_final.stac-item
2022-09-19 11:25:32	ga_s2am_ard_3-2-1_51JXJ_2022-09-19_final.stac-item
2022-10-05 11:43:25	ga_s2am_ard_3-2-1_51KTT_2022-10-05_final.stac-item
2022-10-21 12:03:25	ga_s2am_ard_3-2-1_50KMC_2022-10-21_final.stac-item
2022-11-27 11:53:17	ga_s2am_ard_3-2-1_50KQC_2022-11-27_final.stac-item
2022-11-27 11:53:21	ga_s2am_ard_3-2-1_50KPC_2022-11-27_final.stac-item
2022-12-13 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-12-13_final.stac-item
2023-01-03 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-01-03_final.stac-item
2023-01-17 11:24:28	ga_s2am_ard_3-2-1_51JZM_2023-01-17_final.stac-item
2023-01-26 11:55:53	ga_s2am_ard_3-2-1_50JLN_2023-01-26_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-03-11 11:32:42	ga_s2am_ard_3-2-1_51KVV_2023-03-11_final.stac-item
2023-04-29 12:04:25	ga_s2am_ard_3-2-1_50KLU_2023-04-29_final.stac-item
2023-05-03 11:42:13	ga_s2am_ard_3-2-1_51KVB_2023-05-03_final.stac-item
2023-07-15 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-15_final.stac-item
2023-07-18 12:04:44	ga_s2am_ard_3-2-1_50JLT_2023-07-18_final.stac-item
2023-08-04 11:56:04	ga_s2am_ard_3-2-1_50JKN_2023-08-04_final.stac-item
2023-09-04 11:25:44	ga_s2am_ard_3-2-1_51JXH_2023-09-04_final.stac-item
2023-10-27 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2023-10-27_final.stac-item
2023-12-26 11:33:57	ga_s2am_ard_3-2-1_51KVQ_2023-12-26_final.stac-item
2024-03-14 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-14_final.stac-item
2024-03-21 11:52:35	ga_s2am_ard_3-2-1_50KQF_2024-03-21_final.stac-item
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final.stac-item
2024-03-29 11:16:08	ga_s2am_ard_3-2-1_51JYF_2024-03-29_final.stac-item
2024-04-03 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-04-03_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