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
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JQP_2016-02-19_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JPM_2016-07-10_final.stac-item
2016-08-29 10:43:08	ga_s2am_ard_3-2-1_53JLN_2016-08-29_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_51HYD_2016-11-13_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52KGD_2016-11-23_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KYT_2016-12-22_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JWJ_2017-02-27_final
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KXV_2017-04-01_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KVP_2017-04-21_final.stac-item
2017-10-30 10:32:32	ga_s2am_ard_3-2-1_53HPC_2017-10-30_final
2017-12-09 10:32:28	ga_s2am_ard_3-2-1_53JQM_2017-12-09_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JXF_2018-02-19_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KXU_2018-05-16_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HUE_2018-05-23_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KLV_2018-05-25_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KZQ_2018-06-22_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KKB_2018-08-13_final
2018-08-16 10:30:15	ga_s2am_ard_3-2-1_53KPQ_2018-08-16_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KXU_2018-10-03_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPJ_2018-10-13_final
2018-11-13 11:03:14	ga_s2am_ard_3-2-1_52KEB_2018-11-13_final
2018-11-29 11:21:17	ga_s2am_ard_3-2-1_51LZE_2018-11-29_final
2019-02-17 11:22:57	ga_s2am_ard_3-2-1_51KXU_2019-02-17_final
2019-03-13 11:00:26	ga_s2am_ard_3-2-1_52LHN_2019-03-13_final
2019-03-13 11:02:14	ga_s2am_ard_3-2-1_52KFF_2019-03-13_final
2019-04-02 11:03:49	ga_s2am_ard_3-2-1_52KEV_2019-04-02_final
2019-04-27 11:56:29	ga_s2am_ard_3-2-1_50JLL_2019-04-27_final
2019-05-05 11:13:11	ga_s2am_ard_3-2-1_52KCC_2019-05-05_final
2019-06-17 11:24:15	ga_s2am_ard_3-2-1_51KXP_2019-06-17_final
2019-07-04 11:13:25	ga_s2am_ard_3-2-1_52KEB_2019-07-04_final
2019-09-20 10:35:08	ga_s2am_ard_3-2-1_54JTN_2019-09-20_final
2019-11-03 10:15:53	ga_s2am_ard_3-2-1_54HXK_2019-11-03_final
2019-11-10 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-11-10_final
2019-12-01 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2019-12-01_final
2019-12-29 10:36:05	ga_s2am_ard_3-2-1_53HME_2019-12-29_final
2019-12-29 10:36:45	ga_s2am_ard_3-2-1_53HNB_2019-12-29_final
2020-01-18 10:35:09	ga_s2am_ard_3-2-1_53JQH_2020-01-18_final
2020-01-24 10:51:22	ga_s2am_ard_3-2-1_53LLD_2020-01-24_final
2020-02-15 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-02-15_final
2020-03-22 10:16:42	ga_s2am_ard_3-2-1_54HUG_2020-03-22_final
2020-05-25 11:33:09	ga_s2am_ard_3-2-1_51KXU_2020-05-25_final
2020-06-18 11:14:44	ga_s2am_ard_3-2-1_51JZM_2020-06-18_final
2020-07-04 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-07-04_final
2020-07-08 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2020-07-08_final
2020-08-12 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-08-12_final
2020-08-15 10:35:21	ga_s2am_ard_3-2-1_53JMJ_2020-08-15_final
2020-09-01 10:26:37	ga_s2am_ard_3-2-1_53HQC_2020-09-01_final
2020-11-01 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-11-01_final
2020-12-17 11:55:54	ga_s2am_ard_3-2-1_50JLN_2020-12-17_final
2021-01-19 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-01-19_final
2021-01-24 11:12:29	ga_s2am_ard_3-2-1_52KFE_2021-01-24_final
2021-02-19 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-02-19_final
2021-04-22 10:33:30	ga_s2am_ard_3-2-1_53KQQ_2021-04-22_final
2021-05-28 10:54:22	ga_s2am_ard_3-2-1_52JFT_2021-05-28_final
2021-06-09 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-06-09_final
2021-06-13 11:16:20	ga_s2am_ard_3-2-1_52HBK_2021-06-13_final
2021-06-22 10:07:12	ga_s2am_ard_3-2-1_54HWE_2021-06-22_final
2021-09-04 11:26:12	ga_s2am_ard_3-2-1_51JWF_2021-09-04_final
2021-10-18 11:06:08	ga_s2am_ard_3-2-1_52JDL_2021-10-18_final
2021-10-29 10:32:23	ga_s2am_ard_3-2-1_53KRV_2021-10-29_final
2021-12-25 10:27:02	ga_s2am_ard_3-2-1_53HQA_2021-12-25_final
2021-12-25 12:03:46	ga_s2am_ard_3-2-1_50KKB_2021-12-25_final
2022-01-04 12:04:29	ga_s2am_ard_3-2-1_49KHP_2022-01-04_final
2022-01-09 11:10:35	ga_s2am_ard_3-2-1_52LFN_2022-01-09_final.stac-item
2022-01-19 11:14:09	ga_s2am_ard_3-2-1_51KZP_2022-01-19_final
2022-02-26 10:33:48	ga_s2am_ard_3-2-1_53KRP_2022-02-26_final
2022-03-06 11:33:20	ga_s2am_ard_3-2-1_51KVT_2022-03-06_final
2022-03-06 11:33:31	ga_s2am_ard_3-2-1_51KWS_2022-03-06_final
2022-03-23 11:26:50	ga_s2am_ard_3-2-1_51HUD_2022-03-23_final
2022-04-05 11:33:35	ga_s2am_ard_3-2-1_51KUS_2022-04-05_final
2022-05-04 10:24:21	ga_s2am_ard_3-2-1_54JUS_2022-05-04_final
2022-05-08 10:07:16	ga_s2am_ard_3-2-1_54HWE_2022-05-08_final
2022-05-15 09:56:01	ga_s2am_ard_3-2-1_54HYK_2022-05-15_final
2022-05-15 11:32:26	ga_s2am_ard_3-2-1_51KYA_2022-05-15_final
2022-08-19 10:17:38	ga_s2am_ard_3-2-1_54HVD_2022-08-19_final
2022-08-23 11:36:30	ga_s2am_ard_3-2-1_51JTF_2022-08-23_final
2022-08-24 11:03:32	ga_s2am_ard_3-2-1_52KEB_2022-08-24_final.stac-item
2022-09-21 10:24:41	ga_s2am_ard_3-2-1_54JTR_2022-09-21_final.stac-item
2022-10-05 11:41:25	ga_s2am_ard_3-2-1_51LUF_2022-10-05_final.stac-item
2022-12-12 11:04:18	ga_s2am_ard_3-2-1_52JET_2022-12-12_final.stac-item
2022-12-22 11:05:20	ga_s2am_ard_3-2-1_52JCP_2022-12-22_final.stac-item
2023-01-13 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-01-13_final.stac-item
2023-02-19 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2023-02-19_final.stac-item
2023-03-12 11:03:16	ga_s2am_ard_3-2-1_52KEB_2023-03-12_final.stac-item
2023-04-10 09:57:12	ga_s2am_ard_3-2-1_54HXE_2023-04-10_final.stac-item
2023-04-11 11:00:45	ga_s2am_ard_3-2-1_52LHM_2023-04-11_final.stac-item
2023-05-19 10:24:50	ga_s2am_ard_3-2-1_54JTQ_2023-05-19_final.stac-item
2023-06-07 10:51:40	ga_s2am_ard_3-2-1_53LLC_2023-06-07_final.stac-item
2023-06-19 11:32:51	ga_s2am_ard_3-2-1_51KVV_2023-06-19_final.stac-item
2023-07-03 11:11:32	ga_s2am_ard_3-2-1_52LGJ_2023-07-03_final.stac-item
2023-08-01 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-01_final.stac-item
2023-12-06 11:36:54	ga_s2am_ard_3-2-1_51HTC_2023-12-06_final.stac-item
2023-12-13 11:24:26	ga_s2am_ard_3-2-1_51JYN_2023-12-13_final.stac-item
2023-12-26 11:36:54	ga_s2am_ard_3-2-1_51HUC_2023-12-26_final.stac-item
2024-01-13 10:51:51	ga_s2am_ard_3-2-1_53KLB_2024-01-13_final.stac-item
2024-03-12 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2024-03-12_final.stac-item
2024-03-23 10:52:32	ga_s2am_ard_3-2-1_52KHE_2024-03-23_final.stac-item
2024-04-10 11:53:17	ga_s2am_ard_3-2-1_50KQC_2024-04-10_final.stac-item
2024-04-24 11:33:55	ga_s2am_ard_3-2-1_51KXQ_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