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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRC_2016-03-20_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2016-04-15_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JXK_2017-06-27_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51JVL_2017-10-25_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50KRB_2017-12-10_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KPC_2018-02-01_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KQC_2018-04-02_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50KKB_2018-04-15_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JLP_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHQ_2018-05-05_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51JUN_2018-05-06_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KVA_2018-10-26_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVV_2018-11-02_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final
2018-11-25 11:43:10	ga_s2am_ard_3-2-1_51KTT_2018-11-25_final
2018-11-28 11:55:33	ga_s2am_ard_3-2-1_50JLP_2018-11-28_final
2019-02-10 11:36:23	ga_s2am_ard_3-2-1_50JPL_2019-02-10_final
2019-04-04 11:46:23	ga_s2am_ard_3-2-1_50JNL_2019-04-04_final
2019-04-07 11:53:22	ga_s2am_ard_3-2-1_50KPC_2019-04-07_final
2019-04-11 11:37:23	ga_s2am_ard_3-2-1_50HPG_2019-04-11_final.stac-item
2019-04-17 11:56:10	ga_s2am_ard_3-2-1_50JMM_2019-04-17_final
2019-04-18 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2019-04-18_final
2019-08-01 12:13:59	ga_s2am_ard_3-2-1_50KKA_2019-08-01_final
2019-08-18 12:03:26	ga_s2am_ard_3-2-1_50KMC_2019-08-18_final
2019-09-17 12:04:30	ga_s2am_ard_3-2-1_49KGP_2019-09-17_final
2019-09-28 11:32:48	ga_s2am_ard_3-2-1_51KVV_2019-09-28_final
2019-10-04 11:56:13	ga_s2am_ard_3-2-1_50JLM_2019-10-04_final
2019-11-13 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-11-13_final.stac-item
2019-11-17 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2019-11-17_final
2020-02-05 11:36:34	ga_s2am_ard_3-2-1_51HUD_2020-02-05_final
2020-02-09 11:16:33	ga_s2am_ard_3-2-1_51HXD_2020-02-09_final
2020-02-18 11:45:11	ga_s2am_ard_3-2-1_50JQQ_2020-02-18_final
2020-04-18 11:43:18	ga_s2am_ard_3-2-1_50KRC_2020-04-18_final
2020-04-22 11:26:48	ga_s2am_ard_3-2-1_51HUD_2020-04-22_final
2020-05-25 11:35:51	ga_s2am_ard_3-2-1_51JUH_2020-05-25_final
2020-06-20 11:52:26	ga_s2am_ard_3-2-1_50KQG_2020-06-20_final.stac-item
2020-08-10 11:24:25	ga_s2am_ard_3-2-1_51JZN_2020-08-10_final
2020-08-20 11:25:15	ga_s2am_ard_3-2-1_51JXK_2020-08-20_final
2020-09-05 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-05_final
2020-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-10-08_final
2020-11-21 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2020-11-21_final
2020-11-30 12:03:23	ga_s2am_ard_3-2-1_50KMC_2020-11-30_final
2021-01-30 11:36:34	ga_s2am_ard_3-2-1_51HTE_2021-01-30_final
2021-02-19 11:34:50	ga_s2am_ard_3-2-1_51JVL_2021-02-19_final
2021-03-04 11:46:12	ga_s2am_ard_3-2-1_50JMM_2021-03-04_final
2021-03-10 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-03-10_final
2021-04-13 11:42:36	ga_s2am_ard_3-2-1_51KVV_2021-04-13_final
2021-04-23 11:43:14	ga_s2am_ard_3-2-1_51KTT_2021-04-23_final
2021-05-16 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-05-16_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final
2021-07-03 11:16:10	ga_s2am_ard_3-2-1_51JYF_2021-07-03_final
2021-09-09 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-09-09_final
2021-09-10 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2021-09-10_final
2021-10-20 11:45:34	ga_s2am_ard_3-2-1_51JTJ_2021-10-20_final
2021-11-19 11:45:34	ga_s2am_ard_3-2-1_51JTJ_2021-11-19_final
2022-02-03 12:04:42	ga_s2am_ard_3-2-1_49JHN_2022-02-03_final
2022-02-07 11:44:12	ga_s2am_ard_3-2-1_51KUP_2022-02-07_final
2022-03-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-06_final
2022-04-18 11:44:56	ga_s2am_ard_3-2-1_50JPS_2022-04-18_final
2022-04-28 11:46:35	ga_s2am_ard_3-2-1_50HQK_2022-04-28_final
2022-05-08 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2022-05-08_final
2022-06-13 12:04:45	ga_s2am_ard_3-2-1_49KGP_2022-06-13_final
2022-06-23 12:04:11	ga_s2am_ard_3-2-1_50KKA_2022-06-23_final
2022-06-30 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-06-30_final
2022-07-04 11:36:59	ga_s2am_ard_3-2-1_51HTD_2022-07-04_final
2022-07-23 12:04:17	ga_s2am_ard_3-2-1_50KMV_2022-07-23_final
2022-07-24 11:33:59	ga_s2am_ard_3-2-1_51KUR_2022-07-24_final
2022-07-27 11:43:10	ga_s2am_ard_3-2-1_51KUU_2022-07-27_final
2022-07-31 11:25:01	ga_s2am_ard_3-2-1_51JYL_2022-07-31_final
2022-08-09 11:53:29	ga_s2am_ard_3-2-1_50KQC_2022-08-09_final
2022-09-05 11:44:10	ga_s2am_ard_3-2-1_51KUQ_2022-09-05_final.stac-item
2022-09-08 11:52:31	ga_s2am_ard_3-2-1_50KQG_2022-09-08_final.stac-item
2022-09-08 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-09-08_final.stac-item
2022-09-22 11:34:21	ga_s2am_ard_3-2-1_51KVP_2022-09-22_final.stac-item
2022-09-25 11:46:15	ga_s2am_ard_3-2-1_50JNM_2022-09-25_final.stac-item
2022-10-15 11:45:58	ga_s2am_ard_3-2-1_50JNN_2022-10-15_final.stac-item
2022-11-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-11-04_final.stac-item
2022-11-14 11:42:16	ga_s2am_ard_3-2-1_51KVB_2022-11-14_final.stac-item
2022-11-17 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-11-17_final.stac-item
2022-12-07 11:56:26	ga_s2am_ard_3-2-1_50JLL_2022-12-07_final.stac-item
2022-12-18 11:26:04	ga_s2am_ard_3-2-1_51JUG_2022-12-18_final.stac-item
2023-01-16 11:53:14	ga_s2am_ard_3-2-1_50KQC_2023-01-16_final.stac-item
2023-01-17 11:24:59	ga_s2am_ard_3-2-1_51JVL_2023-01-17_final.stac-item
2023-03-05 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-03-05_final.stac-item
2023-04-04 11:14:41	ga_s2am_ard_3-2-1_51JYM_2023-04-04_final.stac-item
2023-06-19 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-06-19_final.stac-item
2023-07-08 12:05:46	ga_s2am_ard_3-2-1_50JKP_2023-07-08_final.stac-item
2023-07-22 11:43:48	ga_s2am_ard_3-2-1_51KUR_2023-07-22_final.stac-item
2023-08-12 11:14:46	ga_s2am_ard_3-2-1_51JYM_2023-08-12_final.stac-item
2023-08-27 12:04:48	ga_s2am_ard_3-2-1_50JKT_2023-08-27_final.stac-item
2023-10-20 11:42:13	ga_s2am_ard_3-2-1_51KVB_2023-10-20_final.stac-item
2023-12-08 12:13:48	ga_s2am_ard_3-2-1_50KKA_2023-12-08_final.stac-item
2023-12-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-12-22_final.stac-item
2024-01-24 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-24_final.stac-item
2024-01-25 11:36:57	ga_s2am_ard_3-2-1_50HQH_2024-01-25_final.stac-item
2024-02-08 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2024-02-08_final.stac-item
2024-02-10 11:57:16	ga_s2am_ard_3-2-1_50HMG_2024-02-10_final.stac-item
2024-04-16 12:14:30	ga_s2am_ard_3-2-1_49KGP_2024-04-16_final.stac-item
2024-05-03 12:05:44	ga_s2am_ard_3-2-1_50JKP_2024-05-03_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