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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYQ_2016-01-24_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KRC_2016-02-02_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KXR_2016-03-24_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KWQ_2016-09-13_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JNN_2016-10-09_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_51KVB_2016-10-26_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JYM_2016-10-30_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWH_2017-01-08_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVQ_2017-05-31_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KVQ_2017-06-20_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KXS_2017-07-17_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXB_2017-11-07_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYT_2018-03-04_final
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KXT_2018-03-27_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KXT_2018-04-06_final
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51KYS_2018-04-13_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KVV_2018-05-09_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KVS_2018-05-29_final
2018-06-04 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-06-04_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KZV_2018-07-12_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLP_2018-08-30_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KXS_2018-11-02_final
2018-12-22 11:32:21	ga_s2am_ard_3-2-1_51KWA_2018-12-22_final
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_50KRD_2018-12-25_final
2019-01-11 11:33:08	ga_s2am_ard_3-2-1_51KWT_2019-01-11_final
2019-01-31 11:32:59	ga_s2am_ard_3-2-1_51KYT_2019-01-31_final
2019-02-06 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-02-06_final
2019-06-10 11:34:05	ga_s2am_ard_3-2-1_51KUQ_2019-06-10_final
2019-07-03 11:43:08	ga_s2am_ard_3-2-1_51KTU_2019-07-03_final
2019-07-23 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2019-07-23_final
2019-09-25 11:23:43	ga_s2am_ard_3-2-1_51KXR_2019-09-25_final
2019-10-28 11:33:05	ga_s2am_ard_3-2-1_51KVU_2019-10-28_final
2019-10-28 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-10-28_final
2019-11-20 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-11-20_final
2020-02-18 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-02-18_final
2020-02-25 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-02-25_final
2020-03-06 11:32:54	ga_s2am_ard_3-2-1_51KVU_2020-03-06_final
2020-03-26 11:33:06	ga_s2am_ard_3-2-1_51KXT_2020-03-26_final
2020-04-15 11:32:43	ga_s2am_ard_3-2-1_51KWV_2020-04-15_final
2020-04-28 11:42:59	ga_s2am_ard_3-2-1_51KVU_2020-04-28_final
2020-04-28 11:47:19	ga_s2am_ard_3-2-1_50HPG_2020-04-28_final.stac-item
2020-05-08 11:43:01	ga_s2am_ard_3-2-1_51KVU_2020-05-08_final
2020-05-25 11:32:56	ga_s2am_ard_3-2-1_51KYU_2020-05-25_final
2020-05-28 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-28_final
2020-07-11 11:27:06	ga_s2am_ard_3-2-1_51HUC_2020-07-11_final
2020-09-12 11:33:41	ga_s2am_ard_3-2-1_51KUS_2020-09-12_final
2020-10-22 11:33:07	ga_s2am_ard_3-2-1_51KVU_2020-10-22_final
2020-11-01 11:33:07	ga_s2am_ard_3-2-1_51KYT_2020-11-01_final
2020-11-05 11:16:27	ga_s2am_ard_3-2-1_51HYE_2020-11-05_final
2020-11-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2020-11-11_final
2020-11-14 11:42:17	ga_s2am_ard_3-2-1_51KVB_2020-11-14_final
2021-01-06 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-01-06_final
2021-02-06 11:22:55	ga_s2am_ard_3-2-1_51KYU_2021-02-06_final
2021-02-06 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-02-06_final
2021-03-08 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-03-08_final
2021-03-18 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-03-18_final
2021-03-31 11:33:20	ga_s2am_ard_3-2-1_51KUT_2021-03-31_final
2021-04-03 11:43:01	ga_s2am_ard_3-2-1_50KRD_2021-04-03_final
2021-04-13 11:43:24	ga_s2am_ard_3-2-1_51KUS_2021-04-13_final
2021-07-18 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-07-18_final
2021-08-22 11:13:42	ga_s2am_ard_3-2-1_51KZR_2021-08-22_final
2021-09-17 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-09-17_final
2021-10-07 11:33:43	ga_s2am_ard_3-2-1_51KXR_2021-10-07_final
2021-10-14 11:23:16	ga_s2am_ard_3-2-1_51KYT_2021-10-14_final
2021-11-03 11:23:43	ga_s2am_ard_3-2-1_51KYR_2021-11-03_final
2021-12-09 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-12-09_final
2022-01-02 11:22:57	ga_s2am_ard_3-2-1_51KYU_2022-01-02_final
2022-02-07 11:43:17	ga_s2am_ard_3-2-1_51KTT_2022-02-07_final
2022-03-09 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-03-09_final
2022-03-09 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-03-09_final
2022-03-09 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-03-09_final
2022-03-19 11:43:28	ga_s2am_ard_3-2-1_51KVS_2022-03-19_final
2022-04-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-04-04_final
2022-04-11 11:52:21	ga_s2am_ard_3-2-1_50KQG_2022-04-11_final.stac-item
2022-04-11 11:56:06	ga_s2am_ard_3-2-1_50JNM_2022-04-11_final
2022-05-19 11:13:46	ga_s2am_ard_3-2-1_51KZR_2022-05-19_final
2022-06-21 11:23:51	ga_s2am_ard_3-2-1_51KYR_2022-06-21_final
2022-08-20 11:24:10	ga_s2am_ard_3-2-1_51KXQ_2022-08-20_final
2022-08-23 11:34:05	ga_s2am_ard_3-2-1_51KXQ_2022-08-23_final.stac-item
2022-09-09 11:23:18	ga_s2am_ard_3-2-1_51KZT_2022-09-09_final.stac-item
2022-09-29 11:23:03	ga_s2am_ard_3-2-1_51KYU_2022-09-29_final.stac-item
2022-10-22 11:33:32	ga_s2am_ard_3-2-1_51KVS_2022-10-22_final.stac-item
2022-11-18 11:22:57	ga_s2am_ard_3-2-1_51KYU_2022-11-18_final.stac-item
2022-12-11 11:36:47	ga_s2am_ard_3-2-1_51HTD_2022-12-11_final.stac-item
2022-12-15 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-12-15_final.stac-item
2023-01-23 11:42:59	ga_s2am_ard_3-2-1_51KTU_2023-01-23_final.stac-item
2023-04-02 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-04-02_final.stac-item
2023-04-07 11:22:56	ga_s2am_ard_3-2-1_51KYU_2023-04-07_final.stac-item
2023-04-07 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-04-07_final.stac-item
2023-04-27 11:24:04	ga_s2am_ard_3-2-1_51KZP_2023-04-27_final.stac-item
2023-06-29 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-06-29_final.stac-item
2023-07-09 11:32:52	ga_s2am_ard_3-2-1_51KVV_2023-07-09_final.stac-item
2023-07-29 11:33:50	ga_s2am_ard_3-2-1_51KVR_2023-07-29_final.stac-item
2023-11-19 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-11-19_final.stac-item
2023-11-19 11:42:57	ga_s2am_ard_3-2-1_51KUU_2023-11-19_final.stac-item
2023-11-29 11:42:52	ga_s2am_ard_3-2-1_51KUU_2023-11-29_final.stac-item
2023-12-13 11:23:17	ga_s2am_ard_3-2-1_51KZS_2023-12-13_final.stac-item
2023-12-19 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-19_final.stac-item
2024-01-05 11:37:17	ga_s2am_ard_3-2-1_50HPG_2024-01-05_final.stac-item
2024-02-07 11:42:59	ga_s2am_ard_3-2-1_51KTU_2024-02-07_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