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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYL_2015-10-23_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLN_2015-10-28_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KZS_2015-11-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYA_2016-01-07_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-03-06_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51JTF_2016-04-26_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVA_2016-05-09_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50JPT_2016-10-29_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVB_2016-12-05_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JRT_2017-01-14_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKP_2017-02-09_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HPH_2017-02-10_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KWU_2017-02-20_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWB_2017-05-31_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50HMK_2017-07-26_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51JTJ_2017-08-12_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KWA_2017-09-08_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50HQK_2017-09-08_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HWD_2017-09-15_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYE_2017-12-11_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51KZR_2018-03-14_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKM_2018-03-23_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JML_2018-04-09_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KGQ_2018-04-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVR_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51JTG_2018-06-08_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMJ_2018-09-29_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JQL_2018-10-06_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JML_2018-10-19_final
2018-11-11 12:04:26	ga_s2am_ard_3-2-1_49KGP_2018-11-11_final
2018-11-19 11:26:55	ga_s2am_ard_3-2-1_51HUC_2018-11-19_final
2018-12-06 11:14:33	ga_s2am_ard_3-2-1_51JYM_2018-12-06_final
2018-12-09 11:24:32	ga_s2am_ard_3-2-1_51JXM_2018-12-09_final
2018-12-19 11:25:44	ga_s2am_ard_3-2-1_51JXG_2018-12-19_final
2019-01-01 11:34:19	ga_s2am_ard_3-2-1_51JWN_2019-01-01_final
2019-04-04 11:46:27	ga_s2am_ard_3-2-1_50JML_2019-04-04_final
2019-04-20 12:03:18	ga_s2am_ard_3-2-1_50KNC_2019-04-20_final
2019-06-23 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2019-06-23_final
2019-08-16 11:24:07	ga_s2am_ard_3-2-1_51KZP_2019-08-16_final
2019-11-04 11:22:59	ga_s2am_ard_3-2-1_51KYU_2019-11-04_final
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_50KKB_2020-01-08_final
2020-01-19 11:42:36	ga_s2am_ard_3-2-1_51KVV_2020-01-19_final
2020-02-05 11:32:28	ga_s2am_ard_3-2-1_51KYV_2020-02-05_final
2020-03-06 11:33:05	ga_s2am_ard_3-2-1_51KXT_2020-03-06_final
2020-03-06 11:33:34	ga_s2am_ard_3-2-1_51KXR_2020-03-06_final
2020-03-23 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2020-03-23_final
2020-04-01 11:55:55	ga_s2am_ard_3-2-1_50JKN_2020-04-01_final
2020-05-28 11:42:05	ga_s2am_ard_3-2-1_51LVC_2020-05-28_final
2020-07-01 11:23:48	ga_s2am_ard_3-2-1_51KXR_2020-07-01_final
2020-07-17 11:46:02	ga_s2am_ard_3-2-1_50JQM_2020-07-17_final
2020-08-23 11:36:05	ga_s2am_ard_3-2-1_51JUG_2020-08-23_final
2020-11-25 11:14:42	ga_s2am_ard_3-2-1_51JYM_2020-11-25_final
2020-12-11 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2020-12-11_final
2021-02-22 11:42:41	ga_s2am_ard_3-2-1_51KUV_2021-02-22_final
2021-04-20 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-20_final
2021-05-29 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-05-29_final
2021-06-03 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-06-03_final
2021-06-08 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-06-08_final
2021-06-22 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-06-22_final
2021-07-02 11:43:20	ga_s2am_ard_3-2-1_50KRC_2021-07-02_final
2021-08-05 11:23:10	ga_s2am_ard_3-2-1_51KZT_2021-08-05_final
2021-10-27 11:36:15	ga_s2am_ard_3-2-1_51JVF_2021-10-27_final
2021-11-02 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2021-11-02_final
2021-11-19 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-11-19_final
2021-11-26 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-11-26_final
2021-12-03 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-12-03_final
2022-01-25 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-01-25_final
2022-03-03 11:22:02	ga_s2am_ard_3-2-1_51LYC_2022-03-03_final
2022-03-25 12:05:07	ga_s2am_ard_3-2-1_50JKS_2022-03-25_final
2022-04-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-04-04_final
2022-04-05 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-04-05_final
2022-05-15 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2022-05-15_final
2022-05-22 11:26:29	ga_s2am_ard_3-2-1_51HXE_2022-05-22_final
2022-05-25 11:36:31	ga_s2am_ard_3-2-1_51HVE_2022-05-25_final
2022-07-21 11:25:39	ga_s2am_ard_3-2-1_51JWJ_2022-07-21_final
2022-07-23 12:06:21	ga_s2am_ard_3-2-1_50JKM_2022-07-23_final
2022-09-05 11:47:07	ga_s2am_ard_3-2-1_50HMJ_2022-09-05_final.stac-item
2022-09-12 11:35:23	ga_s2am_ard_3-2-1_51JVK_2022-09-12_final.stac-item
2022-09-21 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-09-21_final.stac-item
2022-09-29 11:25:06	ga_s2am_ard_3-2-1_51JWL_2022-09-29_final.stac-item
2022-10-08 13:31:46	ga_s2am_ard_3-2-1_46LHM_2022-10-08_interim.stac-item
2022-10-12 11:37:12	ga_s2am_ard_3-2-1_50HPH_2022-10-12_final.stac-item
2022-10-19 11:23:03	ga_s2am_ard_3-2-1_51KXU_2022-10-19_final.stac-item
2022-10-25 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-10-25_final.stac-item
2022-12-08 11:26:41	ga_s2am_ard_3-2-1_51HWD_2022-12-08_final.stac-item
2023-01-10 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-01-10_final.stac-item
2023-03-01 11:32:19	ga_s2am_ard_3-2-1_51KYA_2023-03-01_final.stac-item
2023-03-31 11:34:45	ga_s2am_ard_3-2-1_51JUM_2023-03-31_final.stac-item
2023-04-13 11:44:16	ga_s2am_ard_3-2-1_50KRU_2023-04-13_final.stac-item
2023-05-06 11:53:36	ga_s2am_ard_3-2-1_50KPB_2023-05-06_final.stac-item
2023-05-13 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-05-13_final.stac-item
2023-05-30 11:36:41	ga_s2am_ard_3-2-1_50HPK_2023-05-30_final.stac-item
2023-07-08 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-07-08_final.stac-item
2023-08-04 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-08-04_nrt.stac-item
2023-09-11 11:16:42	ga_s2am_ard_3-2-1_51HYD_2023-09-11_final.stac-item
2023-10-10 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-10-10_final.stac-item
2023-11-26 11:33:03	ga_s2am_ard_3-2-1_51KXT_2023-11-26_final.stac-item
2024-02-04 11:36:01	ga_s2am_ard_3-2-1_50JQM_2024-02-04_final.stac-item
2024-03-12 11:25:24	ga_s2am_ard_3-2-1_51JXJ_2024-03-12_final.stac-item
2024-03-12 11:26:58	ga_s2am_ard_3-2-1_51HVC_2024-03-12_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