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_51JWH_2015-11-25_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_50KKA_2016-01-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKA_2016-03-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HQK_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JPL_2016-04-29_final.stac-item
2016-06-05 11:26:25	ga_s2am_ard_3-2-1_51KVB_2016-06-05_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KXT_2016-06-25_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KWS_2016-07-15_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KMC_2016-08-23_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KXQ_2016-09-13_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVT_2016-11-12_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JHM_2016-12-21_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KXR_2017-01-31_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KWB_2017-03-25_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51KYP_2017-04-28_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51JVH_2017-07-30_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTS_2017-12-10_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HWD_2018-02-02_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50JMM_2018-04-19_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLN_2018-05-15_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHP_2018-06-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNK_2018-08-07_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KUS_2018-08-24_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMM_2018-10-19_final
2018-11-12 11:32:14	ga_s2am_ard_3-2-1_51KVB_2018-11-12_final
2018-11-15 11:42:40	ga_s2am_ard_3-2-1_51KUV_2018-11-15_final
2018-12-15 11:42:05	ga_s2am_ard_3-2-1_51KVB_2018-12-15_final
2018-12-29 11:26:29	ga_s2am_ard_3-2-1_51HXD_2018-12-29_final
2019-01-08 11:26:49	ga_s2am_ard_3-2-1_51HWC_2019-01-08_final.stac-item
2019-05-04 11:44:17	ga_s2am_ard_3-2-1_51KUP_2019-05-04_final
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-06-20 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-06-20_final
2019-07-02 12:13:59	ga_s2am_ard_3-2-1_50KKA_2019-07-02_final
2019-08-03 11:17:03	ga_s2am_ard_3-2-1_51HWC_2019-08-03_final.stac-item
2019-08-05 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-08-05_final.stac-item
2019-08-22 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-08-22_final
2019-08-29 11:33:23	ga_s2am_ard_3-2-1_51KUT_2019-08-29_final
2019-09-08 11:33:26	ga_s2am_ard_3-2-1_51KWS_2019-09-08_final
2019-09-11 11:46:11	ga_s2am_ard_3-2-1_50JMM_2019-09-11_final
2019-10-04 11:56:20	ga_s2am_ard_3-2-1_50JNL_2019-10-04_final
2019-10-17 12:06:07	ga_s2am_ard_3-2-1_50JLM_2019-10-17_final
2019-10-27 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-10-27_final
2019-10-28 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-10-28_final.stac-item
2019-10-31 11:43:28	ga_s2am_ard_3-2-1_51KVS_2019-10-31_final
2019-11-21 11:17:00	ga_s2am_ard_3-2-1_51HWC_2019-11-21_final.stac-item
2019-11-27 11:35:15	ga_s2am_ard_3-2-1_51JUK_2019-11-27_final
2020-01-03 11:26:56	ga_s2am_ard_3-2-1_51HUC_2020-01-03_final
2020-02-18 11:42:57	ga_s2am_ard_3-2-1_51KTU_2020-02-18_final
2020-02-18 11:44:10	ga_s2am_ard_3-2-1_51KTP_2020-02-18_final
2020-03-13 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-03-13_final
2020-04-05 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-04-05_final
2020-04-05 11:34:12	ga_s2am_ard_3-2-1_51JXN_2020-04-05_final
2020-04-14 12:03:40	ga_s2am_ard_3-2-1_50KLB_2020-04-14_final
2020-04-18 11:43:33	ga_s2am_ard_3-2-1_51KTS_2020-04-18_final
2020-06-01 11:23:20	ga_s2am_ard_3-2-1_51KXT_2020-06-01_final
2020-07-28 11:17:04	ga_s2am_ard_3-2-1_51HWC_2020-07-28_final.stac-item
2020-08-13 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-08-13_final
2020-10-12 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-10-12_final
2020-10-16 11:14:47	ga_s2am_ard_3-2-1_51JYM_2020-10-16_final
2020-11-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-11-10_final
2021-01-13 11:42:10	ga_s2am_ard_3-2-1_51KWB_2021-01-13_final
2021-01-14 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-01-14_final
2021-04-27 11:26:55	ga_s2am_ard_3-2-1_51HVC_2021-04-27_final
2021-05-20 11:34:14	ga_s2am_ard_3-2-1_51KVP_2021-05-20_final
2021-05-27 11:24:12	ga_s2am_ard_3-2-1_51KXP_2021-05-27_final
2021-06-19 11:34:28	ga_s2am_ard_3-2-1_51JUN_2021-06-19_final
2021-07-25 11:54:41	ga_s2am_ard_3-2-1_50JNT_2021-07-25_final
2021-08-11 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-08-11_final
2021-09-04 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-09-04_final
2021-09-27 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-09-27_final
2021-11-02 11:53:25	ga_s2am_ard_3-2-1_50KPC_2021-11-02_final
2021-11-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2021-11-02_final
2022-01-12 11:24:42	ga_s2am_ard_3-2-1_51JXM_2022-01-12_final
2022-02-23 12:03:46	ga_s2am_ard_3-2-1_50KKB_2022-02-23_final
2022-03-06 11:35:45	ga_s2am_ard_3-2-1_51JVH_2022-03-06_final
2022-04-01 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-01_final.stac-item
2022-06-21 11:24:14	ga_s2am_ard_3-2-1_51KWQ_2022-06-21_final
2022-08-22 12:03:57	ga_s2am_ard_3-2-1_50KKB_2022-08-22_final
2022-10-08 11:56:06	ga_s2am_ard_3-2-1_50JKN_2022-10-08_final.stac-item
2022-10-18 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-10-18_final.stac-item
2022-10-29 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2022-10-29_final.stac-item
2022-11-17 11:52:39	ga_s2am_ard_3-2-1_50KPF_2022-11-17_final.stac-item
2022-12-28 11:23:38	ga_s2am_ard_3-2-1_51KYR_2022-12-28_final.stac-item
2023-01-23 11:43:14	ga_s2am_ard_3-2-1_50KRC_2023-01-23_final.stac-item
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final.stac-item
2023-04-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-04-10_final.stac-item
2023-09-26 12:04:30	ga_s2am_ard_3-2-1_50KKU_2023-09-26_final.stac-item
2023-11-03 11:24:07	ga_s2am_ard_3-2-1_51KYP_2023-11-03_final.stac-item
2023-11-05 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-11-05_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-11-26 11:32:52	ga_s2am_ard_3-2-1_51KWU_2023-11-26_final.stac-item
2023-11-26 11:34:00	ga_s2am_ard_3-2-1_51KXP_2023-11-26_final.stac-item
2023-12-02 11:53:13	ga_s2am_ard_3-2-1_50KPC_2023-12-02_final.stac-item
2023-12-26 11:33:45	ga_s2am_ard_3-2-1_51KUR_2023-12-26_final.stac-item
2023-12-26 11:36:43	ga_s2am_ard_3-2-1_51HTD_2023-12-26_final.stac-item
2024-01-11 11:55:59	ga_s2am_ard_3-2-1_50JNM_2024-01-11_final.stac-item
2024-03-28 11:46:26	ga_s2am_ard_3-2-1_50JML_2024-03-28_final.stac-item
2024-04-01 11:26:57	ga_s2am_ard_3-2-1_51HVC_2024-04-01_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

All years