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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2015-10-22_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMK_2015-11-14_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNJ_2015-11-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-11-28 11:36:02	ga_s2am_ard_3-2-1_51HUE_2015-11-28_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51HUE_2015-12-08_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51JUF_2015-12-08_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHR_2016-01-16_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JWK_2016-01-24_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPH_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HQK_2016-02-06_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51JXJ_2016-03-11_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KQV_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNP_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQV_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JWM_2016-05-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKA_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KUQ_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQD_2016-05-22_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQK_2016-06-05_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUD_2016-06-12_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMH_2016-12-15_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_50KKA_2017-03-14_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQJ_2017-07-03_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQN_2017-12-30_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51HYE_2018-01-20_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYB_2018-05-23_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUB_2018-06-08_final.stac-item
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KXT_2018-07-25_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KMC_2018-09-19_final
2018-11-18 11:56:24	ga_s2am_ard_3-2-1_50HNK_2018-11-18_final
2019-02-06 11:56:27	ga_s2am_ard_3-2-1_50HNK_2019-02-06_final
2019-02-13 11:47:08	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-03-22 11:34:13	ga_s2am_ard_3-2-1_51JXN_2019-03-22_final
2019-03-31 12:03:41	ga_s2am_ard_3-2-1_50KLB_2019-03-31_final
2019-04-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2019-04-07_final
2019-06-03 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-06-03_final
2019-06-23 11:45:07	ga_s2am_ard_3-2-1_50JQR_2019-06-23_final
2019-08-29 11:33:10	ga_s2am_ard_3-2-1_51KXT_2019-08-29_final
2019-10-24 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-10-24_final.stac-item
2019-10-31 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-31_final
2019-11-07 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-11-07_final
2020-03-26 11:32:16	ga_s2am_ard_3-2-1_51KVB_2020-03-26_final
2020-06-14 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-06-14_final
2020-06-21 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-06-21_final
2020-08-23 11:34:21	ga_s2am_ard_3-2-1_51JXN_2020-08-23_final
2020-09-02 11:35:49	ga_s2am_ard_3-2-1_51JUH_2020-09-02_final
2020-09-09 11:26:33	ga_s2am_ard_3-2-1_51HVE_2020-09-09_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_50KKV_2020-10-04_final
2020-12-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2020-12-01_final
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-19_final
2021-02-25 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-25_final
2021-02-26 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-02-26_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-06-18 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-06-18_final
2021-07-28 12:03:41	ga_s2am_ard_3-2-1_50KMB_2021-07-28_final
2021-09-06 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-09-06_final
2021-09-17 11:35:47	ga_s2am_ard_3-2-1_51JUH_2021-09-17_final
2021-09-20 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2021-09-20_final
2021-09-20 11:46:18	ga_s2am_ard_3-2-1_50JQL_2021-09-20_final
2021-09-27 11:36:18	ga_s2am_ard_3-2-1_51JUF_2021-09-27_final
2021-09-30 11:46:12	ga_s2am_ard_3-2-1_51JTF_2021-09-30_final
2022-01-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-01-01_final
2022-01-08 11:47:16	ga_s2am_ard_3-2-1_50HLH_2022-01-08_final
2022-01-15 11:36:11	ga_s2am_ard_3-2-1_51JVF_2022-01-15_final
2022-01-15 11:36:34	ga_s2am_ard_3-2-1_51HVD_2022-01-15_final
2022-01-18 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-01-18_final
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final
2022-04-02 11:25:55	ga_s2am_ard_3-2-1_51JXG_2022-04-02_final
2022-04-22 11:25:47	ga_s2am_ard_3-2-1_51JWH_2022-04-22_final
2022-07-14 11:33:07	ga_s2am_ard_3-2-1_51KXU_2022-07-14_final
2022-07-31 11:23:38	ga_s2am_ard_3-2-1_51KXS_2022-07-31_final
2022-08-06 11:43:14	ga_s2am_ard_3-2-1_51KTU_2022-08-06_final
2022-09-09 11:26:55	ga_s2am_ard_3-2-1_51HVD_2022-09-09_final.stac-item
2022-09-12 11:34:16	ga_s2am_ard_3-2-1_51KXP_2022-09-12_final.stac-item
2022-09-19 11:26:23	ga_s2am_ard_3-2-1_51JVF_2022-09-19_final.stac-item
2022-09-28 11:57:13	ga_s2am_ard_3-2-1_50HMH_2022-09-28_final.stac-item
2022-10-08 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-10-08_final.stac-item
2022-12-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2022-12-01_final.stac-item
2022-12-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-12-17_final.stac-item
2023-03-01 11:36:08	ga_s2am_ard_3-2-1_51JVF_2023-03-01_final.stac-item
2023-04-03 11:45:43	ga_s2am_ard_3-2-1_51JTH_2023-04-03_final.stac-item
2023-04-07 11:25:34	ga_s2am_ard_3-2-1_51JYH_2023-04-07_final.stac-item
2023-04-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2023-04-09_final.stac-item
2023-04-30 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-04-30_final.stac-item
2023-06-12 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-06-12_final.stac-item
2023-08-01 11:43:49	ga_s2am_ard_3-2-1_51KUR_2023-08-01_final.stac-item
2023-08-24 11:52:26	ga_s2am_ard_3-2-1_50KQG_2023-08-24_final.stac-item
2023-09-04 11:26:34	ga_s2am_ard_3-2-1_51HVE_2023-09-04_final.stac-item
2023-09-07 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-09-07_final.stac-item
2023-09-10 11:46:20	ga_s2am_ard_3-2-1_50JQL_2023-09-10_final.stac-item
2023-09-14 11:26:12	ga_s2am_ard_3-2-1_51JXF_2023-09-14_final.stac-item
2023-09-16 12:05:02	ga_s2am_ard_3-2-1_50JMR_2023-09-16_final.stac-item
2023-10-03 11:56:27	ga_s2am_ard_3-2-1_50JLL_2023-10-03_final.stac-item
2023-10-07 11:36:11	ga_s2am_ard_3-2-1_51JVF_2023-10-07_final.stac-item
2023-10-07 11:36:24	ga_s2am_ard_3-2-1_51HVE_2023-10-07_final.stac-item
2023-11-02 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-11-02_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

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