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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JWJ_2015-11-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUM_2016-06-25_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HXE_2016-07-09_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRC_2017-01-24_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JVG_2017-01-31_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JML_2017-03-18_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51JTN_2017-05-31_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-08-31_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-09-02_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JML_2017-09-24_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HVD_2017-10-05_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KMU_2017-12-03_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQH_2017-12-17_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51JTG_2017-12-30_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKM_2018-01-05_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JYM_2018-02-12_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KVR_2018-03-27_final
2018-04-12 11:47:43	ga_s2am_ard_3-2-1_50KRC_2018-04-12_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWR_2018-06-05_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JFM_2018-06-07_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTR_2018-06-08_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51KXT_2018-06-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPH_2018-10-13_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUE_2018-10-30_final
2018-12-15 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-15_final
2019-01-04 11:42:16	ga_s2am_ard_3-2-1_51KWA_2019-01-04_final
2019-01-18 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2019-01-18_final
2019-03-21 12:06:08	ga_s2am_ard_3-2-1_50JKM_2019-03-21_final
2019-03-25 11:43:46	ga_s2am_ard_3-2-1_51KTR_2019-03-25_final
2019-04-11 11:32:48	ga_s2am_ard_3-2-1_51KVV_2019-04-11_final
2019-04-21 11:34:46	ga_s2am_ard_3-2-1_50JRS_2019-04-21_final
2019-05-18 11:23:43	ga_s2am_ard_3-2-1_51KYR_2019-05-18_final
2019-06-07 11:26:42	ga_s2am_ard_3-2-1_51HWD_2019-06-07_final
2019-06-10 11:33:05	ga_s2am_ard_3-2-1_51KXT_2019-06-10_final
2019-07-06 11:53:16	ga_s2am_ard_3-2-1_50KRC_2019-07-06_final
2019-07-27 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2019-07-27_final
2019-08-16 11:24:18	ga_s2am_ard_3-2-1_51KWP_2019-08-16_final
2019-10-05 11:26:42	ga_s2am_ard_3-2-1_51HWD_2019-10-05_final
2019-10-22 11:14:32	ga_s2am_ard_3-2-1_51JYN_2019-10-22_final
2019-12-13 11:53:06	ga_s2am_ard_3-2-1_50KRC_2019-12-13_final
2019-12-20 11:43:12	ga_s2am_ard_3-2-1_50KRC_2019-12-20_final
2020-01-03 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2020-01-03_final
2020-01-29 11:42:49	ga_s2am_ard_3-2-1_51KVU_2020-01-29_final
2020-04-25 11:36:21	ga_s2am_ard_3-2-1_50JQL_2020-04-25_final
2020-05-25 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-05-25_final
2020-06-11 11:25:52	ga_s2am_ard_3-2-1_51JVH_2020-06-11_final
2020-07-17 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-07-17_final
2020-07-17 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-17_final
2020-07-17 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-07-17_final
2020-11-28 11:26:33	ga_s2am_ard_3-2-1_51HUE_2020-11-28_final
2020-12-11 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2020-12-11_final
2020-12-11 11:35:41	ga_s2am_ard_3-2-1_51JUH_2020-12-11_final
2020-12-11 11:36:34	ga_s2am_ard_3-2-1_50HPK_2020-12-11_final
2021-01-24 11:14:42	ga_s2am_ard_3-2-1_51JYM_2021-01-24_final
2021-01-27 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-01-27_final
2021-02-02 11:44:02	ga_s2am_ard_3-2-1_50KRV_2021-02-02_final
2021-02-02 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-02-02_final
2021-02-18 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-02-18_final
2021-03-11 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-03-11_final
2021-03-14 11:43:24	ga_s2am_ard_3-2-1_51KVS_2021-03-14_final
2021-03-21 11:32:21	ga_s2am_ard_3-2-1_51KYA_2021-03-21_final
2021-03-21 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2021-03-21_final
2021-05-03 11:44:39	ga_s2am_ard_3-2-1_51JUM_2021-05-03_final
2021-06-09 11:34:44	ga_s2am_ard_3-2-1_51JVM_2021-06-09_final
2021-06-09 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-06-09_final
2021-06-16 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-06-16_final
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final
2021-08-08 11:36:49	ga_s2am_ard_3-2-1_51HTD_2021-08-08_final
2021-10-27 11:36:51	ga_s2am_ard_3-2-1_51HTD_2021-10-27_final
2021-11-20 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-11-20_final
2021-11-23 11:26:40	ga_s2am_ard_3-2-1_51HWD_2021-11-23_final
2021-12-03 11:25:42	ga_s2am_ard_3-2-1_51JWH_2021-12-03_final
2021-12-13 11:24:18	ga_s2am_ard_3-2-1_51JXN_2021-12-13_final
2022-01-25 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-01-25_final.stac-item
2022-02-06 12:15:19	ga_s2am_ard_3-2-1_49JGK_2022-02-06_final
2022-02-08 11:16:36	ga_s2am_ard_3-2-1_51HYD_2022-02-08_final
2022-04-18 11:44:34	ga_s2am_ard_3-2-1_50JRT_2022-04-18_final
2022-04-18 11:44:42	ga_s2am_ard_3-2-1_50JPT_2022-04-18_final
2022-05-19 11:16:14	ga_s2am_ard_3-2-1_51JYF_2022-05-19_final
2022-05-22 11:24:51	ga_s2am_ard_3-2-1_51JWM_2022-05-22_final
2022-07-07 11:47:05	ga_s2am_ard_3-2-1_50HNJ_2022-07-07_final
2022-07-30 11:54:47	ga_s2am_ard_3-2-1_50JNT_2022-07-30_final
2022-08-09 11:54:10	ga_s2am_ard_3-2-1_50KMA_2022-08-09_final
2022-12-21 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2022-12-21_final.stac-item
2023-01-20 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2023-01-20_final.stac-item
2023-01-26 11:55:21	ga_s2am_ard_3-2-1_50JMQ_2023-01-26_final.stac-item
2023-03-23 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-03-23_final.stac-item
2023-04-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-04-14_final.stac-item
2023-07-12 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-07-12_final.stac-item
2023-08-05 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2023-08-05_final.stac-item
2023-08-11 11:46:27	ga_s2am_ard_3-2-1_50JNL_2023-08-11_final.stac-item
2023-08-28 11:33:33	ga_s2am_ard_3-2-1_51KWS_2023-08-28_final.stac-item
2023-11-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-11-12_final.stac-item
2023-11-13 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2023-11-13_final.stac-item
2023-11-16 11:35:06	ga_s2am_ard_3-2-1_51JWK_2023-11-16_final.stac-item
2023-11-30 11:16:14	ga_s2am_ard_3-2-1_51HYE_2023-11-30_final.stac-item
2024-01-25 11:35:13	ga_s2am_ard_3-2-1_51JWJ_2024-01-25_final.stac-item
2024-01-31 11:56:02	ga_s2am_ard_3-2-1_50JKM_2024-01-31_final.stac-item
2024-02-24 11:33:32	ga_s2am_ard_3-2-1_51KUS_2024-02-24_final.stac-item
2024-03-15 11:34:36	ga_s2am_ard_3-2-1_51JTN_2024-03-15_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