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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGM_2016-02-15_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KUT_2016-07-15_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KUT_2016-08-24_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-10-12_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KLV_2016-10-12_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final.stac-item
2017-02-07 11:26:03	ga_s2am_ard_3-2-1_51HVE_2017-02-07_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUT_2017-07-10_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50KQD_2017-07-16_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUB_2017-09-21_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGL_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGM_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKS_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KLU_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KLV_2017-10-07_final
2017-10-15 11:26:08	ga_s2am_ard_3-2-1_51JVF_2017-10-15_final
2017-10-24 11:49:20	ga_s2am_ard_3-2-1_50KQG_2017-10-24_final.stac-item
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51JWF_2017-11-04_final
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51HUE_2017-11-24_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JLS_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_50JQL_2018-02-05_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPG_2018-03-30_final.stac-item
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51HWC_2018-03-31_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPS_2018-05-19_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50JPS_2018-05-29_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KUS_2018-05-29_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KUU_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPG_2018-05-29_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HWC_2018-06-09_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPG_2018-06-15_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKP_2018-06-21_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HWC_2018-06-22_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPG_2018-08-14_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNG_2018-08-17_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPK_2018-08-17_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50KLU_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLA_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLB_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPM_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPG_2018-08-27_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-09-06_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPG_2018-09-23_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPT_2018-10-06_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HUE_2018-10-10_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HUE_2018-10-20_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNR_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JPN_2018-10-26_final
2018-11-15 11:47:11	ga_s2am_ard_3-2-1_50HPG_2018-11-15_final.stac-item
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2018-12-09 11:26:09	ga_s2am_ard_3-2-1_51JUF_2018-12-09_final
2019-01-04 11:44:04	ga_s2am_ard_3-2-1_50KPV_2019-01-04_final
2019-01-04 11:44:17	ga_s2am_ard_3-2-1_50KPU_2019-01-04_final
2019-01-05 11:16:53	ga_s2am_ard_3-2-1_51HWC_2019-01-05_final.stac-item
2019-01-08 11:26:27	ga_s2am_ard_3-2-1_51HUE_2019-01-08_final
2019-04-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2019-04-04_final.stac-item
2019-04-24 11:42:20	ga_s2am_ard_3-2-1_51KUB_2019-04-24_final.stac-item
2019-08-16 11:24:22	ga_s2am_ard_3-2-1_51JZN_2019-08-16_final
2019-09-18 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-09-18_final
2019-10-11 11:42:59	ga_s2am_ard_3-2-1_51KUU_2019-10-11_final
2019-10-28 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-10-28_final.stac-item
2019-10-31 11:43:21	ga_s2am_ard_3-2-1_51KTT_2019-10-31_final
2020-01-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2020-01-10_final
2020-07-07 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-07-07_final
2020-08-12 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-08-12_final
2020-12-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2020-12-21_final.stac-item
2020-12-24 11:43:28	ga_s2am_ard_3-2-1_51KUS_2020-12-24_final
2020-12-25 11:16:58	ga_s2am_ard_3-2-1_51HWC_2020-12-25_final.stac-item
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-04-13 11:44:32	ga_s2am_ard_3-2-1_50JPT_2021-04-13_final
2021-04-20 11:36:56	ga_s2am_ard_3-2-1_51HTC_2021-04-20_final
2021-04-23 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-04-23_final
2021-04-29 12:03:53	ga_s2am_ard_3-2-1_50KLA_2021-04-29_final
2021-04-30 11:34:13	ga_s2am_ard_3-2-1_51JXN_2021-04-30_final
2021-05-03 11:43:27	ga_s2am_ard_3-2-1_51KUS_2021-05-03_final
2021-05-13 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-05-13_final
2021-05-24 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-05-24_final.stac-item
2021-06-05 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-06-05_final
2021-06-22 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-06-22_final
2021-07-29 11:35:54	ga_s2am_ard_3-2-1_50JQN_2021-07-29_final
2021-07-31 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-07-31_final.stac-item
2021-08-21 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-08-21_final
2021-08-21 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-08-21_final
2021-09-27 11:33:38	ga_s2am_ard_3-2-1_51KUS_2021-09-27_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_49KHS_2021-09-29_final.stac-item
2021-10-07 11:36:38	ga_s2am_ard_3-2-1_51HVD_2021-10-07_final
2021-11-29 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-11-29_final
2021-12-09 11:43:03	ga_s2am_ard_3-2-1_50KRD_2021-12-09_final
2022-04-25 11:37:26	ga_s2am_ard_3-2-1_50HPG_2022-04-25_final.stac-item
2022-05-25 11:33:41	ga_s2am_ard_3-2-1_51KUS_2022-05-25_final
2022-10-05 11:43:22	ga_s2am_ard_3-2-1_51KUT_2022-10-05_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-20 11:36:48	ga_s2am_ard_3-2-1_51HTD_2023-05-20_final.stac-item
2023-11-26 11:33:17	ga_s2am_ard_3-2-1_51KUT_2023-11-26_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