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
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLT_2016-05-22_final.stac-item
2016-09-21 10:55:09	ga_s2am_ard_3-2-1_52JGN_2016-09-21_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KXS_2016-12-29_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KVR_2017-03-12_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVR_2017-11-07_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KRD_2018-01-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWR_2018-02-25_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWT_2018-02-25_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KYT_2018-03-24_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KYU_2018-08-11_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51KYT_2018-09-10_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQH_2018-11-02_final
2018-11-15 11:47:09	ga_s2am_ard_3-2-1_50HLH_2018-11-15_final
2018-12-12 11:33:08	ga_s2am_ard_3-2-1_51KVT_2018-12-12_final
2018-12-25 11:43:04	ga_s2am_ard_3-2-1_51KVT_2018-12-25_final
2019-01-01 11:32:40	ga_s2am_ard_3-2-1_51KVV_2019-01-01_final
2019-01-01 11:32:44	ga_s2am_ard_3-2-1_51KYU_2019-01-01_final
2019-01-01 11:33:24	ga_s2am_ard_3-2-1_51KVS_2019-01-01_final
2019-01-04 11:42:11	ga_s2am_ard_3-2-1_51KUB_2019-01-04_final.stac-item
2019-01-04 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-01-04_final.stac-item
2019-01-11 11:33:19	ga_s2am_ard_3-2-1_51KXS_2019-01-11_final
2019-01-21 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-21_final.stac-item
2019-03-09 11:23:05	ga_s2am_ard_3-2-1_51KYT_2019-03-09_final
2019-03-12 11:32:58	ga_s2am_ard_3-2-1_51KXT_2019-03-12_final
2019-05-01 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-01_final
2019-05-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-05-11_final
2019-05-25 11:13:57	ga_s2am_ard_3-2-1_52KBV_2019-05-25_final
2019-06-20 11:33:46	ga_s2am_ard_3-2-1_51KWR_2019-06-20_final
2019-07-10 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2019-07-10_final
2019-07-14 11:13:23	ga_s2am_ard_3-2-1_52KDB_2019-07-14_final
2019-07-20 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2019-07-20_final
2019-10-28 11:32:58	ga_s2am_ard_3-2-1_51KXU_2019-10-28_final
2019-12-24 11:23:33	ga_s2am_ard_3-2-1_51KYR_2019-12-24_final
2019-12-24 11:23:37	ga_s2am_ard_3-2-1_51KXR_2019-12-24_final
2019-12-27 11:33:22	ga_s2am_ard_3-2-1_51KWS_2019-12-27_final
2020-02-25 11:33:40	ga_s2am_ard_3-2-1_51KVR_2020-02-25_final
2020-03-16 11:33:27	ga_s2am_ard_3-2-1_51KVS_2020-03-16_final
2020-03-20 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2020-03-20_final
2020-04-02 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-04-02_final
2020-04-06 11:03:17	ga_s2am_ard_3-2-1_52KEB_2020-04-06_final
2020-04-22 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-04-22_final
2020-05-08 11:42:46	ga_s2am_ard_3-2-1_51KVV_2020-05-08_final
2020-06-24 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-06-24_final
2020-07-24 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-07-24_final
2020-07-28 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-07-28_final
2020-08-03 11:33:58	ga_s2am_ard_3-2-1_51KXQ_2020-08-03_final
2020-08-13 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-08-13_final
2020-08-23 11:33:47	ga_s2am_ard_3-2-1_51KWR_2020-08-23_final
2020-10-02 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-10-02_final
2020-11-01 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-11-01_final
2020-11-04 11:43:34	ga_s2am_ard_3-2-1_51KUS_2020-11-04_final
2020-11-08 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-11-08_final
2020-12-25 11:13:39	ga_s2am_ard_3-2-1_52KBA_2020-12-25_final
2021-01-03 11:43:31	ga_s2am_ard_3-2-1_51KUS_2021-01-03_final
2021-01-17 11:23:29	ga_s2am_ard_3-2-1_51KXS_2021-01-17_final
2021-04-06 11:56:36	ga_s2am_ard_3-2-1_50HLK_2021-04-06_final
2021-04-10 11:36:53	ga_s2am_ard_3-2-1_51HUC_2021-04-10_final
2021-05-03 11:43:01	ga_s2am_ard_3-2-1_51KTU_2021-05-03_final
2021-05-20 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-05-20_final
2021-06-02 11:42:58	ga_s2am_ard_3-2-1_51KVU_2021-06-02_final
2021-06-16 11:24:05	ga_s2am_ard_3-2-1_52KBU_2021-06-16_final
2021-07-06 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2021-07-06_final
2021-09-10 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-09-10_final
2021-09-17 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-09-17_final
2021-09-20 11:43:32	ga_s2am_ard_3-2-1_51KUS_2021-09-20_final
2021-10-10 11:43:17	ga_s2am_ard_3-2-1_51KVT_2021-10-10_final
2021-11-06 11:33:02	ga_s2am_ard_3-2-1_51KWU_2021-11-06_final
2021-11-16 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-11-16_final
2021-12-22 11:52:21	ga_s2am_ard_3-2-1_50KQG_2021-12-22_final.stac-item
2022-05-12 11:23:39	ga_s2am_ard_3-2-1_51KZR_2022-05-12_final
2022-05-22 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2022-05-22_final
2022-06-04 11:33:50	ga_s2am_ard_3-2-1_51KWR_2022-06-04_final
2022-06-16 12:14:05	ga_s2am_ard_3-2-1_49KHR_2022-06-16_final
2022-06-17 11:42:28	ga_s2am_ard_3-2-1_51KUB_2022-06-17_final.stac-item
2022-06-17 11:43:40	ga_s2am_ard_3-2-1_51KUS_2022-06-17_final
2022-06-24 11:33:46	ga_s2am_ard_3-2-1_51KUS_2022-06-24_final
2022-09-09 11:23:32	ga_s2am_ard_3-2-1_52KBB_2022-09-09_final.stac-item
2022-11-11 11:33:02	ga_s2am_ard_3-2-1_51KWU_2022-11-11_final.stac-item
2022-12-11 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-12-11_final.stac-item
2022-12-15 11:13:54	ga_s2am_ard_3-2-1_52KBV_2022-12-15_final.stac-item
2023-02-16 11:23:25	ga_s2am_ard_3-2-1_51KXS_2023-02-16_final.stac-item
2023-03-31 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-03-31_final.stac-item
2023-04-04 11:13:44	ga_s2am_ard_3-2-1_52KEV_2023-04-04_final.stac-item
2023-04-27 11:23:06	ga_s2am_ard_3-2-1_52KBC_2023-04-27_final.stac-item
2023-05-30 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-05-30_final.stac-item
2023-06-06 11:23:17	ga_s2am_ard_3-2-1_51KXT_2023-06-06_final.stac-item
2023-06-09 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-06-09_final.stac-item
2023-06-10 11:03:38	ga_s2am_ard_3-2-1_52KEA_2023-06-10_final.stac-item
2023-07-03 11:12:37	ga_s2am_ard_3-2-1_52KEE_2023-07-03_final.stac-item
2023-08-01 11:42:51	ga_s2am_ard_3-2-1_51KUV_2023-08-01_final.stac-item
2023-08-22 11:14:00	ga_s2am_ard_3-2-1_51KZQ_2023-08-22_final.stac-item
2023-08-31 11:43:16	ga_s2am_ard_3-2-1_51KVT_2023-08-31_final.stac-item
2023-10-27 11:33:16	ga_s2am_ard_3-2-1_51KVT_2023-10-27_final.stac-item
2024-01-02 11:23:32	ga_s2am_ard_3-2-1_52KBA_2024-01-02_final.stac-item
2024-01-08 11:43:07	ga_s2am_ard_3-2-1_51KUT_2024-01-08_final.stac-item
2024-01-08 11:43:14	ga_s2am_ard_3-2-1_51KUT_2024-01-08_final.stac-item
2024-02-07 11:42:53	ga_s2am_ard_3-2-1_51KVU_2024-02-07_final.stac-item
2024-03-05 11:32:55	ga_s2am_ard_3-2-1_51KXU_2024-03-05_final.stac-item
2024-03-12 11:23:07	ga_s2am_ard_3-2-1_51KZT_2024-03-12_final.stac-item
2024-04-04 11:33:28	ga_s2am_ard_3-2-1_51KVS_2024-04-04_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