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
2015-08-14 11:12:47	ga_s2am_ard_3-2-1_51KZS_2015-08-14_final.stac-item
2016-03-08 11:02:38	ga_s2am_ard_3-2-1_52KFV_2016-03-08_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52JBL_2016-05-10_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JLR_2016-05-25_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KWP_2016-06-05_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JGS_2016-07-23_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JBM_2016-09-14_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52KGV_2016-10-01_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KZV_2016-12-29_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWL_2017-01-08_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KLV_2017-02-09_final
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KFC_2017-07-21_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_51HUD_2017-08-19_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50JQL_2017-09-08_final
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JDL_2017-09-09_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_51HWE_2017-09-22_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWJ_2017-10-05_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-10-17_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_52KDF_2017-11-01_final
2018-03-24 11:24:03	ga_s2am_ard_3-2-1_51HUC_2018-03-24_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JPR_2018-04-02_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KVU_2018-04-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUN_2018-06-05_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HUC_2018-07-02_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HVE_2018-07-02_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JQL_2018-08-17_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXR_2018-10-10_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JCM_2018-11-03_final
2019-04-04 11:46:31	ga_s2am_ard_3-2-1_50HQK_2019-04-04_final
2019-04-24 11:46:05	ga_s2am_ard_3-2-1_51JTG_2019-04-24_final
2019-04-28 11:21:43	ga_s2am_ard_3-2-1_51LZD_2019-04-28_final
2019-05-08 11:23:04	ga_s2am_ard_3-2-1_51KXU_2019-05-08_final
2019-05-15 11:11:05	ga_s2am_ard_3-2-1_52LFL_2019-05-15_final
2019-06-08 10:55:48	ga_s2am_ard_3-2-1_52JFM_2019-06-08_final
2019-06-14 11:13:43	ga_s2am_ard_3-2-1_51KZR_2019-06-14_final
2019-07-30 11:32:59	ga_s2am_ard_3-2-1_51KXU_2019-07-30_final
2019-08-26 11:23:37	ga_s2am_ard_3-2-1_51KZR_2019-08-26_final
2019-10-12 11:14:26	ga_s2am_ard_3-2-1_51JZN_2019-10-12_final
2019-10-15 11:26:43	ga_s2am_ard_3-2-1_51HWD_2019-10-15_final
2019-12-21 11:14:03	ga_s2am_ard_3-2-1_51KZP_2019-12-21_final
2020-01-16 11:36:16	ga_s2am_ard_3-2-1_51HVE_2020-01-16_final
2020-01-26 11:32:40	ga_s2am_ard_3-2-1_51KVV_2020-01-26_final
2020-02-11 11:56:06	ga_s2am_ard_3-2-1_50JKM_2020-02-11_final
2020-02-12 11:22:34	ga_s2am_ard_3-2-1_51KYV_2020-02-12_final
2020-02-14 12:05:49	ga_s2am_ard_3-2-1_50JKN_2020-02-14_final
2020-02-21 11:53:05	ga_s2am_ard_3-2-1_50KRC_2020-02-21_final
2020-02-29 11:11:47	ga_s2am_ard_3-2-1_52LDH_2020-02-29_final
2020-04-20 10:45:48	ga_s2am_ard_3-2-1_52JGM_2020-04-20_final
2020-04-22 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2020-04-22_final
2020-04-29 11:13:43	ga_s2am_ard_3-2-1_51KZR_2020-04-29_final
2020-06-08 11:15:24	ga_s2am_ard_3-2-1_52JCP_2020-06-08_final
2020-07-16 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-16_final
2020-07-31 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-07-31_final
2020-12-04 11:44:09	ga_s2am_ard_3-2-1_50KPV_2020-12-04_final
2020-12-22 11:02:43	ga_s2am_ard_3-2-1_52KGD_2020-12-22_final
2021-01-20 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-01-20_final
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-03-23_final
2021-04-30 11:36:26	ga_s2am_ard_3-2-1_51HUE_2021-04-30_final
2021-06-03 11:14:36	ga_s2am_ard_3-2-1_52JCS_2021-06-03_final
2021-06-13 11:16:12	ga_s2am_ard_3-2-1_51JXF_2021-06-13_final
2021-06-22 11:42:22	ga_s2am_ard_3-2-1_51KWA_2021-06-22_final
2021-08-08 11:37:24	ga_s2am_ard_3-2-1_50HPG_2021-08-08_final.stac-item
2021-08-27 12:04:50	ga_s2am_ard_3-2-1_50JMS_2021-08-27_final
2021-10-13 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-13_final
2021-10-14 11:23:19	ga_s2am_ard_3-2-1_51KXT_2021-10-14_final
2021-10-31 11:13:05	ga_s2am_ard_3-2-1_52KEC_2021-10-31_final
2021-11-20 11:16:06	ga_s2am_ard_3-2-1_52JBL_2021-11-20_final
2021-12-26 11:37:28	ga_s2am_ard_3-2-1_50HNG_2021-12-26_final.stac-item
2022-01-15 11:34:40	ga_s2am_ard_3-2-1_51JWM_2022-01-15_final
2022-03-26 11:36:05	ga_s2am_ard_3-2-1_51JTG_2022-03-26_final
2022-03-30 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-03-30_final
2022-03-30 11:16:25	ga_s2am_ard_3-2-1_51HYE_2022-03-30_final
2022-04-05 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-04-05_final
2022-05-31 11:56:22	ga_s2am_ard_3-2-1_50JKM_2022-05-31_final
2022-06-18 11:14:35	ga_s2am_ard_3-2-1_51JZN_2022-06-18_final
2022-07-15 11:06:17	ga_s2am_ard_3-2-1_52JDL_2022-07-15_final
2022-07-18 11:13:51	ga_s2am_ard_3-2-1_52KBA_2022-07-18_final
2022-08-16 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-08-16_final
2022-09-28 13:31:47	ga_s2am_ard_3-2-1_46LHM_2022-09-28_interim.stac-item
2022-11-15 11:14:19	ga_s2am_ard_3-2-1_52JDT_2022-11-15_final.stac-item
2022-11-21 11:33:39	ga_s2am_ard_3-2-1_51KXR_2022-11-21_final.stac-item
2022-12-05 11:16:41	ga_s2am_ard_3-2-1_51HXD_2022-12-05_final.stac-item
2023-01-24 12:50:57	ga_s2am_ard_3-2-1_48LWP_2023-01-24_final.stac-item
2023-01-30 11:32:20	ga_s2am_ard_3-2-1_51KYA_2023-01-30_final.stac-item
2023-02-19 11:33:27	ga_s2am_ard_3-2-1_51KVS_2023-02-19_final.stac-item
2023-02-20 11:02:31	ga_s2am_ard_3-2-1_52KFE_2023-02-20_final.stac-item
2023-03-01 11:31:02	ga_s2am_ard_3-2-1_52LBL_2023-03-01_final.stac-item
2023-03-21 11:32:57	ga_s2am_ard_3-2-1_51KWU_2023-03-21_final.stac-item
2023-03-28 11:26:37	ga_s2am_ard_3-2-1_51HVD_2023-03-28_final.stac-item
2023-04-28 10:56:04	ga_s2am_ard_3-2-1_52JEL_2023-04-28_final.stac-item
2023-05-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2023-05-14_final.stac-item
2023-06-19 11:35:12	ga_s2am_ard_3-2-1_51JWK_2023-06-19_final.stac-item
2023-06-30 11:03:58	ga_s2am_ard_3-2-1_52KDV_2023-06-30_final.stac-item
2023-07-09 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-07-09_final.stac-item
2023-08-12 11:16:13	ga_s2am_ard_3-2-1_51JYF_2023-08-12_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2023-12-29 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-12-29_final.stac-item
2024-01-09 11:11:11	ga_s2am_ard_3-2-1_52LFK_2024-01-09_final.stac-item
2024-01-19 12:50:50	ga_s2am_ard_3-2-1_48LWP_2024-01-19_final.stac-item
2024-03-15 11:36:10	ga_s2am_ard_3-2-1_51JVF_2024-03-15_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