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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HLH_2015-12-04_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KXR_2015-12-08_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JVH_2016-03-07_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUV_2016-04-29_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KWR_2016-11-02_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVT_2016-11-12_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUA_2017-02-03_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KXR_2017-02-10_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KXR_2017-06-20_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWT_2017-09-28_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KRC_2017-11-20_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_50KKB_2017-11-29_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JTH_2017-12-10_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWP_2017-12-17_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JVF_2018-02-22_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KVR_2018-04-06_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVP_2018-04-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPK_2018-05-26_final
2018-06-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-06-01_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHN_2018-06-04_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KXU_2018-06-15_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPG_2018-06-25_final.stac-item
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KWQ_2018-08-31_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KXS_2018-09-23_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUS_2018-10-06_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KUR_2018-10-23_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVU_2018-11-02_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUR_2018-11-05_final
2018-12-15 11:42:33	ga_s2am_ard_3-2-1_51KVV_2018-12-15_final
2018-12-21 12:05:54	ga_s2am_ard_3-2-1_50JKM_2018-12-21_final
2019-01-14 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-01-14_final
2019-05-28 11:25:27	ga_s2am_ard_3-2-1_51JXJ_2019-05-28_final
2019-07-30 11:34:10	ga_s2am_ard_3-2-1_51KXP_2019-07-30_final
2019-09-10 12:13:53	ga_s2am_ard_3-2-1_49KHR_2019-09-10_final
2019-10-07 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-10-07_final
2019-11-10 11:43:46	ga_s2am_ard_3-2-1_51KUR_2019-11-10_final
2020-01-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2020-01-10_final
2020-02-08 11:42:38	ga_s2am_ard_3-2-1_51KUV_2020-02-08_final
2020-04-02 11:25:09	ga_s2am_ard_3-2-1_51JWK_2020-04-02_final
2020-05-05 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2020-05-05_final
2020-08-03 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-08-03_final
2020-08-13 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-08-13_final
2020-09-12 11:32:58	ga_s2am_ard_3-2-1_51KXU_2020-09-12_final
2020-09-12 11:33:37	ga_s2am_ard_3-2-1_51KXR_2020-09-12_final
2020-09-22 11:36:38	ga_s2am_ard_3-2-1_51HVD_2020-09-22_final
2021-01-03 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-01-03_final
2021-01-10 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-01-10_final
2021-02-19 11:32:57	ga_s2am_ard_3-2-1_51KWU_2021-02-19_final
2021-03-27 11:52:18	ga_s2am_ard_3-2-1_50KQG_2021-03-27_final.stac-item
2021-04-10 11:33:29	ga_s2am_ard_3-2-1_51KUS_2021-04-10_final
2021-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-05-10_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-05-29_final
2021-07-19 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-07-19_final
2021-07-19 11:34:17	ga_s2am_ard_3-2-1_51KVP_2021-07-19_final
2021-08-21 11:43:05	ga_s2am_ard_3-2-1_51KTU_2021-08-21_final
2021-08-28 11:34:07	ga_s2am_ard_3-2-1_51KXP_2021-08-28_final
2021-09-07 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-09-07_final
2021-09-14 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2021-09-14_final
2021-09-17 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final
2022-01-05 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2022-01-05_final
2022-01-18 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-01-18_final
2022-01-26 11:06:37	ga_s2am_ard_3-2-1_51HYD_2022-01-26_final
2022-03-19 11:43:08	ga_s2am_ard_3-2-1_50KRD_2022-03-19_final
2022-03-23 11:23:31	ga_s2am_ard_3-2-1_51KXS_2022-03-23_final
2022-05-08 11:43:26	ga_s2am_ard_3-2-1_50KQC_2022-05-08_final
2022-05-17 12:14:03	ga_s2am_ard_3-2-1_49KGR_2022-05-17_final
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final
2022-05-25 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-05-25_final
2022-05-29 11:15:37	ga_s2am_ard_3-2-1_51JXJ_2022-05-29_final
2022-06-04 11:32:54	ga_s2am_ard_3-2-1_51KVV_2022-06-04_final
2022-07-14 11:33:50	ga_s2am_ard_3-2-1_51KUS_2022-07-14_final
2022-08-19 11:56:09	ga_s2am_ard_3-2-1_50JLN_2022-08-19_final
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-10-19 11:23:30	ga_s2am_ard_3-2-1_51KXS_2022-10-19_final.stac-item
2022-11-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2022-11-11_final.stac-item
2022-11-11 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-11-11_final.stac-item
2022-11-25 11:14:28	ga_s2am_ard_3-2-1_51JYN_2022-11-25_final.stac-item
2022-12-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-12-04_final.stac-item
2022-12-21 11:33:32	ga_s2am_ard_3-2-1_51KUS_2022-12-21_final.stac-item
2023-03-04 11:47:21	ga_s2am_ard_3-2-1_50HMG_2023-03-04_final.stac-item
2023-05-10 11:34:05	ga_s2am_ard_3-2-1_51KXP_2023-05-10_final.stac-item
2023-05-13 11:43:18	ga_s2am_ard_3-2-1_50KRC_2023-05-13_final.stac-item
2023-06-19 11:32:59	ga_s2am_ard_3-2-1_51KXU_2023-06-19_final.stac-item
2023-06-29 11:32:23	ga_s2am_ard_3-2-1_51KVB_2023-06-29_final.stac-item
2023-07-15 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-07-15_final.stac-item
2023-07-21 12:13:58	ga_s2am_ard_3-2-1_50KKA_2023-07-21_final.stac-item
2023-10-30 11:42:31	ga_s2am_ard_3-2-1_51KUA_2023-10-30_final.stac-item
2023-10-30 11:45:56	ga_s2am_ard_3-2-1_51JTG_2023-10-30_final.stac-item
2023-11-09 11:43:43	ga_s2am_ard_3-2-1_51KUR_2023-11-09_final.stac-item
2023-11-26 11:34:00	ga_s2am_ard_3-2-1_51KXP_2023-11-26_final.stac-item
2023-12-06 11:33:02	ga_s2am_ard_3-2-1_51KXT_2023-12-06_final.stac-item
2023-12-06 11:33:59	ga_s2am_ard_3-2-1_51KXP_2023-12-06_final.stac-item
2023-12-29 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2023-12-29_final.stac-item
2023-12-29 11:46:34	ga_s2am_ard_3-2-1_50HNK_2023-12-29_final.stac-item
2024-01-02 11:26:26	ga_s2am_ard_3-2-1_51HVE_2024-01-02_final.stac-item
2024-02-03 12:05:37	ga_s2am_ard_3-2-1_50JKP_2024-02-03_final.stac-item
2024-02-23 12:03:54	ga_s2am_ard_3-2-1_50KLA_2024-02-23_final.stac-item
2024-04-04 11:32:26	ga_s2am_ard_3-2-1_51KWA_2024-04-04_final.stac-item
2024-04-24 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2024-04-24_final.stac-item
2024-05-01 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2024-05-01_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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