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_51HUC_2015-12-08_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVN_2016-04-06_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGK_2016-04-08_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HUE_2016-06-05_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JKM_2017-01-07_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVR_2017-01-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50KQC_2017-02-03_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTE_2017-05-11_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JML_2017-07-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50KRV_2017-12-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JTJ_2017-12-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KVU_2017-12-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYM_2018-01-13_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HYD_2018-02-19_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HXE_2018-03-04_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51HXD_2018-03-31_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPS_2018-04-22_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HQH_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPK_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQA_2018-06-08_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HPK_2018-10-06_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JQT_2018-10-26_final
2018-12-25 11:42:46	ga_s2am_ard_3-2-1_51KUU_2018-12-25_final
2019-01-13 12:13:35	ga_s2am_ard_3-2-1_50KKB_2019-01-13_final
2019-02-04 11:15:50	ga_s2am_ard_3-2-1_51JYG_2019-02-04_final
2019-02-17 11:26:36	ga_s2am_ard_3-2-1_51HWD_2019-02-17_final
2019-03-08 11:55:47	ga_s2am_ard_3-2-1_50JMN_2019-03-08_final
2019-09-27 12:05:56	ga_s2am_ard_3-2-1_50JKN_2019-09-27_final
2019-10-01 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2019-10-01_final
2019-10-12 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2019-10-12_final
2019-10-12 11:16:43	ga_s2am_ard_3-2-1_51HXD_2019-10-12_final
2019-12-07 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2019-12-07_final
2019-12-20 11:44:21	ga_s2am_ard_3-2-1_51JUN_2019-12-20_final
2020-01-03 11:24:21	ga_s2am_ard_3-2-1_51JXN_2020-01-03_final
2020-01-10 11:14:36	ga_s2am_ard_3-2-1_51JYM_2020-01-10_final
2020-01-13 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2020-01-13_final
2020-02-08 11:43:10	ga_s2am_ard_3-2-1_51KTT_2020-02-08_final
2020-02-19 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-02-19_final
2020-03-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-03-19_final
2020-04-02 11:26:57	ga_s2am_ard_3-2-1_51HUC_2020-04-02_final
2020-04-24 12:03:21	ga_s2am_ard_3-2-1_50KNC_2020-04-24_final
2020-04-25 11:36:25	ga_s2am_ard_3-2-1_51HVE_2020-04-25_final
2020-05-05 11:37:10	ga_s2am_ard_3-2-1_50HPH_2020-05-05_final
2020-05-12 11:26:40	ga_s2am_ard_3-2-1_51HXD_2020-05-12_final
2020-05-28 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-05-28_final
2020-07-06 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-07-06_final
2020-08-06 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-08-06_final
2020-08-20 11:25:01	ga_s2am_ard_3-2-1_51JXL_2020-08-20_final
2020-09-16 11:16:45	ga_s2am_ard_3-2-1_51HXD_2020-09-16_final
2020-09-26 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2020-09-26_final
2020-11-07 11:54:49	ga_s2am_ard_3-2-1_50JLT_2020-11-07_final
2020-12-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-12-01_final
2021-01-20 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-01-20_final
2021-01-20 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-01-20_final
2021-01-30 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-01-30_final
2021-02-02 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2021-02-02_final
2021-04-10 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-10_final
2021-04-13 11:44:39	ga_s2am_ard_3-2-1_50JRS_2021-04-13_final
2021-05-03 11:44:58	ga_s2am_ard_3-2-1_51JTL_2021-05-03_final
2021-06-03 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-06-03_final
2021-06-28 12:03:28	ga_s2am_ard_3-2-1_50KLC_2021-06-28_final
2021-07-19 11:34:39	ga_s2am_ard_3-2-1_51JTN_2021-07-19_final
2021-09-10 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-09-10_final
2021-09-11 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-09-11_final
2021-09-30 11:47:06	ga_s2am_ard_3-2-1_50HPH_2021-09-30_final
2021-11-06 11:34:39	ga_s2am_ard_3-2-1_51JTN_2021-11-06_final
2022-03-02 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-03-02_final
2022-04-01 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-04-01_final
2022-04-12 11:26:24	ga_s2am_ard_3-2-1_51HXE_2022-04-12_final
2022-05-06 11:06:42	ga_s2am_ard_3-2-1_51HYD_2022-05-06_final
2022-05-18 11:44:36	ga_s2am_ard_3-2-1_51JTN_2022-05-18_final
2022-05-22 11:24:33	ga_s2am_ard_3-2-1_51JXN_2022-05-22_final
2022-05-24 12:05:36	ga_s2am_ard_3-2-1_49JGK_2022-05-24_final
2022-05-29 11:14:45	ga_s2am_ard_3-2-1_51JZM_2022-05-29_final
2022-06-01 11:24:48	ga_s2am_ard_3-2-1_51JXM_2022-06-01_final
2022-06-10 11:56:35	ga_s2am_ard_3-2-1_50JLL_2022-06-10_final
2022-06-27 11:42:34	ga_s2am_ard_3-2-1_51KWA_2022-06-27_final
2022-07-18 11:16:49	ga_s2am_ard_3-2-1_51HYD_2022-07-18_final
2022-08-17 11:15:42	ga_s2am_ard_3-2-1_51JXJ_2022-08-17_final
2022-08-17 11:16:24	ga_s2am_ard_3-2-1_51JXF_2022-08-17_final
2022-09-01 12:03:32	ga_s2am_ard_3-2-1_50KNC_2022-09-01_final.stac-item
2022-09-02 11:34:48	ga_s2am_ard_3-2-1_51JTN_2022-09-02_final.stac-item
2022-09-08 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-09-08_final.stac-item
2022-09-15 11:47:19	ga_s2am_ard_3-2-1_50HMH_2022-09-15_final.stac-item
2022-11-11 11:36:32	ga_s2am_ard_3-2-1_51HUE_2022-11-11_final.stac-item
2022-12-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-31_final.stac-item
2023-01-24 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-01-24_final.stac-item
2023-03-05 11:15:42	ga_s2am_ard_3-2-1_51JYG_2023-03-05_final.stac-item
2023-04-03 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-04-03_final.stac-item
2023-04-03 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-04-03_final.stac-item
2023-04-13 11:43:51	ga_s2am_ard_3-2-1_50KQA_2023-04-13_final.stac-item
2023-05-13 11:46:04	ga_s2am_ard_3-2-1_50JPM_2023-05-13_final.stac-item
2023-06-26 11:24:30	ga_s2am_ard_3-2-1_51JXN_2023-06-26_final.stac-item
2023-08-11 11:46:24	ga_s2am_ard_3-2-1_50JPL_2023-08-11_final.stac-item
2023-09-07 11:36:48	ga_s2am_ard_3-2-1_51HUD_2023-09-07_final.stac-item
2024-02-24 11:36:45	ga_s2am_ard_3-2-1_51HTD_2024-02-24_final.stac-item
2024-03-15 11:35:12	ga_s2am_ard_3-2-1_51JVK_2024-03-15_final.stac-item
2024-03-31 11:57:05	ga_s2am_ard_3-2-1_50HMH_2024-03-31_final.stac-item
2024-04-18 11:16:40	ga_s2am_ard_3-2-1_51HYD_2024-04-18_final.stac-item
2024-04-24 11:36:22	ga_s2am_ard_3-2-1_50JQL_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