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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KXS_2015-12-08_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KYP_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JWN_2016-05-16_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KXR_2016-08-11_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51KZP_2016-10-30_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KKB_2016-11-21_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51JYK_2016-12-29_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KLB_2017-03-31_final.stac-item
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-03_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGM_2017-06-02_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HXD_2017-07-04_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKP_2017-07-29_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KVP_2017-08-19_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JMM_2017-09-21_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50KMB_2017-10-04_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-10-17_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KLU_2017-11-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTT_2017-12-10_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KKA_2018-01-05_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HNK_2018-03-13_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JQN_2018-03-27_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KXV_2018-04-06_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50KRC_2018-04-19_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KWB_2018-05-06_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50KKA_2018-06-14_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPH_2018-07-05_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNH_2018-08-27_final
2019-01-05 11:14:03	ga_s2am_ard_3-2-1_51KZP_2019-01-05_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-02-09_final
2019-02-13 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2019-02-13_final
2019-03-02 11:34:05	ga_s2am_ard_3-2-1_51KWP_2019-03-02_final
2019-04-11 11:34:39	ga_s2am_ard_3-2-1_50JRT_2019-04-11_final
2019-06-10 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-06-10_final
2019-07-10 11:32:52	ga_s2am_ard_3-2-1_51KVV_2019-07-10_final
2019-07-29 12:03:49	ga_s2am_ard_3-2-1_50KKB_2019-07-29_final
2019-08-28 12:04:29	ga_s2am_ard_3-2-1_49KHP_2019-08-28_final
2019-08-29 11:36:47	ga_s2am_ard_3-2-1_51HTD_2019-08-29_final
2019-09-18 11:36:42	ga_s2am_ard_3-2-1_51HUD_2019-09-18_final
2019-09-18 11:37:00	ga_s2am_ard_3-2-1_51HTC_2019-09-18_final
2019-11-11 11:16:43	ga_s2am_ard_3-2-1_51HXD_2019-11-11_final
2019-12-16 12:05:46	ga_s2am_ard_3-2-1_50JLN_2019-12-16_final
2019-12-23 11:55:54	ga_s2am_ard_3-2-1_50JKN_2019-12-23_final
2020-02-01 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-01_final
2020-03-12 11:53:51	ga_s2am_ard_3-2-1_50KNA_2020-03-12_final
2020-03-19 11:42:24	ga_s2am_ard_3-2-1_51KVA_2020-03-19_final
2020-03-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-22_final
2020-04-08 11:43:15	ga_s2am_ard_3-2-1_51KTT_2020-04-08_final
2020-05-25 11:32:35	ga_s2am_ard_3-2-1_51KWA_2020-05-25_final
2020-05-28 11:44:37	ga_s2am_ard_3-2-1_50JRT_2020-05-28_final
2020-07-13 12:03:45	ga_s2am_ard_3-2-1_50KLB_2020-07-13_final
2020-08-09 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-08-09_final
2020-09-05 11:42:46	ga_s2am_ard_3-2-1_51KVV_2020-09-05_final
2020-09-12 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-09-12_final
2020-09-29 11:24:08	ga_s2am_ard_3-2-1_51KZP_2020-09-29_final
2020-11-21 11:33:04	ga_s2am_ard_3-2-1_51KYT_2020-11-21_final
2021-01-03 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-01-03_final
2021-02-08 12:04:24	ga_s2am_ard_3-2-1_50KLU_2021-02-08_final
2021-02-15 11:53:49	ga_s2am_ard_3-2-1_50KPA_2021-02-15_final
2021-03-17 11:52:19	ga_s2am_ard_3-2-1_50KQG_2021-03-17_final.stac-item
2021-04-16 11:52:13	ga_s2am_ard_3-2-1_50KQG_2021-04-16_final.stac-item
2021-04-29 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-04-29_final
2021-05-03 11:46:17	ga_s2am_ard_3-2-1_50JPL_2021-05-03_final
2021-06-22 11:45:00	ga_s2am_ard_3-2-1_51JTL_2021-06-22_final
2021-08-05 11:26:39	ga_s2am_ard_3-2-1_51HXD_2021-08-05_final
2021-08-28 11:36:30	ga_s2am_ard_3-2-1_51HUE_2021-08-28_final
2021-09-09 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-09-09_final
2021-09-23 11:56:17	ga_s2am_ard_3-2-1_50JKM_2021-09-23_final
2021-09-27 11:32:33	ga_s2am_ard_3-2-1_51KWA_2021-09-27_final
2021-11-06 11:35:07	ga_s2am_ard_3-2-1_51JTL_2021-11-06_final
2021-11-13 11:24:10	ga_s2am_ard_3-2-1_51KYP_2021-11-13_final
2021-12-25 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-12-25_final
2021-12-26 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2021-12-26_final
2022-01-08 11:47:04	ga_s2am_ard_3-2-1_50HPH_2022-01-08_final
2022-01-12 11:26:54	ga_s2am_ard_3-2-1_51HUD_2022-01-12_final
2022-01-15 11:33:03	ga_s2am_ard_3-2-1_51KYT_2022-01-15_final
2022-02-17 11:43:44	ga_s2am_ard_3-2-1_51KUR_2022-02-17_final
2022-02-21 11:27:00	ga_s2am_ard_3-2-1_51HVC_2022-02-21_final
2022-03-29 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-03-29_final
2022-06-11 11:24:36	ga_s2am_ard_3-2-1_51JXN_2022-06-11_final
2022-07-30 11:53:20	ga_s2am_ard_3-2-1_50KRC_2022-07-30_final
2022-08-09 11:56:01	ga_s2am_ard_3-2-1_50JNN_2022-08-09_final.stac-item
2022-09-15 11:42:52	ga_s2am_ard_3-2-1_51KVV_2022-09-15_final.stac-item
2022-09-21 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-09-21_final.stac-item
2022-12-20 12:04:26	ga_s2am_ard_3-2-1_50KKU_2022-12-20_final.stac-item
2023-03-04 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-03-04_final.stac-item
2023-03-31 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-03-31_final.stac-item
2023-06-29 11:34:58	ga_s2am_ard_3-2-1_51JWL_2023-06-29_final.stac-item
2023-08-11 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-11_final.stac-item
2023-08-18 11:32:53	ga_s2am_ard_3-2-1_51KVV_2023-08-18_final.stac-item
2023-10-04 11:22:57	ga_s2am_ard_3-2-1_51KYU_2023-10-04_final.stac-item
2023-10-17 11:32:46	ga_s2am_ard_3-2-1_51KVV_2023-10-17_final.stac-item
2023-12-06 11:36:51	ga_s2am_ard_3-2-1_51HUC_2023-12-06_final.stac-item
2023-12-09 11:43:14	ga_s2am_ard_3-2-1_51KTT_2023-12-09_final.stac-item
2023-12-13 11:27:03	ga_s2am_ard_3-2-1_51HTC_2023-12-13_final.stac-item
2024-01-08 11:42:41	ga_s2am_ard_3-2-1_51KUV_2024-01-08_final.stac-item
2024-01-11 11:56:25	ga_s2am_ard_3-2-1_50HNK_2024-01-11_final.stac-item
2024-01-22 11:24:19	ga_s2am_ard_3-2-1_51JXN_2024-01-22_final.stac-item
2024-02-21 11:24:09	ga_s2am_ard_3-2-1_51KXP_2024-02-21_final.stac-item
2024-04-24 11:34:46	ga_s2am_ard_3-2-1_51JVM_2024-04-24_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