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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HNG_2016-01-07_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUV_2016-04-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51KVU_2016-11-02_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVT_2016-12-25_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVT_2017-03-25_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KQG_2017-04-27_final.stac-item
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPJ_2017-05-24_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KUT_2017-06-20_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPG_2017-07-10_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51KVT_2017-08-12_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-10-10_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KVA_2018-02-08_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HPH_2018-03-17_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLP_2018-05-15_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUC_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KUS_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVV_2018-06-08_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JWH_2018-07-22_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPJ_2018-07-28_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPG_2018-08-04_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVQ_2018-09-03_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMG_2018-09-19_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-15_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPJ_2018-10-23_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVT_2018-11-02_final
2018-11-11 12:03:18	ga_s2am_ard_3-2-1_50KMC_2018-11-11_final
2019-01-17 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-01-17_final.stac-item
2019-02-10 11:33:13	ga_s2am_ard_3-2-1_51KVT_2019-02-10_final
2019-03-05 11:42:55	ga_s2am_ard_3-2-1_51KUU_2019-03-05_final
2019-04-01 11:33:02	ga_s2am_ard_3-2-1_51KVU_2019-04-01_final
2019-04-10 12:05:42	ga_s2am_ard_3-2-1_50JKP_2019-04-10_final
2019-05-04 11:43:08	ga_s2am_ard_3-2-1_50KRD_2019-05-04_final
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-05-30_final
2019-06-13 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-06-13_final
2019-07-03 11:43:23	ga_s2am_ard_3-2-1_51KTT_2019-07-03_final
2019-09-18 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2019-09-18_final
2019-12-20 11:42:57	ga_s2am_ard_3-2-1_51KTU_2019-12-20_final
2019-12-29 12:13:34	ga_s2am_ard_3-2-1_50KKB_2019-12-29_final
2020-01-03 11:24:58	ga_s2am_ard_3-2-1_51JVL_2020-01-03_final
2020-04-05 11:33:02	ga_s2am_ard_3-2-1_51KVU_2020-04-05_final
2020-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2020-04-27_final
2020-04-28 11:42:48	ga_s2am_ard_3-2-1_51KUV_2020-04-28_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-07-14 11:32:51	ga_s2am_ard_3-2-1_51KVV_2020-07-14_final
2020-08-07 11:17:05	ga_s2am_ard_3-2-1_51HWC_2020-08-07_final.stac-item
2020-08-16 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-08-16_final
2020-10-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-21_final
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final
2021-04-09 12:03:40	ga_s2am_ard_3-2-1_50KKB_2021-04-09_final
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final
2021-05-13 11:42:45	ga_s2am_ard_3-2-1_51KUV_2021-05-13_final
2021-06-16 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-06-16_final
2021-07-05 11:56:06	ga_s2am_ard_3-2-1_50JNM_2021-07-05_final
2021-07-19 11:32:50	ga_s2am_ard_3-2-1_51KVV_2021-07-19_final
2021-08-01 11:43:21	ga_s2am_ard_3-2-1_51KTT_2021-08-01_final
2021-08-08 11:32:49	ga_s2am_ard_3-2-1_51KVV_2021-08-08_final
2021-09-07 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-09-07_final
2021-11-06 11:32:50	ga_s2am_ard_3-2-1_51KVV_2021-11-06_final
2021-11-12 11:52:22	ga_s2am_ard_3-2-1_50KQG_2021-11-12_final.stac-item
2021-11-26 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-11-26_final
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2021-12-25 12:03:46	ga_s2am_ard_3-2-1_50KKB_2021-12-25_final
2022-01-05 11:33:18	ga_s2am_ard_3-2-1_51KVT_2022-01-05_final
2022-01-18 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-01-18_final
2022-02-08 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-02-08_final
2022-03-09 11:43:04	ga_s2am_ard_3-2-1_51KUU_2022-03-09_final
2022-03-16 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-03-16_final
2022-03-16 11:33:38	ga_s2am_ard_3-2-1_51KUS_2022-03-16_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-05-07_final
2022-05-18 11:43:02	ga_s2am_ard_3-2-1_51KVU_2022-05-18_final
2022-06-04 11:37:09	ga_s2am_ard_3-2-1_51HTC_2022-06-04_final
2022-06-07 11:43:05	ga_s2am_ard_3-2-1_51KVU_2022-06-07_final
2022-06-17 11:43:11	ga_s2am_ard_3-2-1_51KUU_2022-06-17_final
2022-06-23 12:03:56	ga_s2am_ard_3-2-1_50KKB_2022-06-23_final
2022-06-30 11:53:23	ga_s2am_ard_3-2-1_50KRC_2022-06-30_final
2022-07-04 11:34:13	ga_s2am_ard_3-2-1_51KVQ_2022-07-04_final
2022-07-10 11:52:33	ga_s2am_ard_3-2-1_50KQG_2022-07-10_final.stac-item
2022-07-14 11:32:32	ga_s2am_ard_3-2-1_51KVB_2022-07-14_final
2022-07-14 11:34:23	ga_s2am_ard_3-2-1_51KWP_2022-07-14_final
2022-10-15 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-10-15_final.stac-item
2022-11-01 11:37:21	ga_s2am_ard_3-2-1_50HQG_2022-11-01_final.stac-item
2022-11-17 11:52:39	ga_s2am_ard_3-2-1_50KPF_2022-11-17_final.stac-item
2022-12-04 11:42:42	ga_s2am_ard_3-2-1_51KVV_2022-12-04_final.stac-item
2022-12-24 11:42:58	ga_s2am_ard_3-2-1_51KUU_2022-12-24_final.stac-item
2023-03-21 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-03-21_final.stac-item
2023-03-31 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-03-31_final.stac-item
2023-04-20 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-04-20_final.stac-item
2023-05-30 11:35:30	ga_s2am_ard_3-2-1_51JVJ_2023-05-30_final.stac-item
2023-06-12 11:42:13	ga_s2am_ard_3-2-1_51KWB_2023-06-12_final.stac-item
2023-07-05 11:57:25	ga_s2am_ard_3-2-1_50HMG_2023-07-05_final.stac-item
2023-07-22 11:42:32	ga_s2am_ard_3-2-1_51KVA_2023-07-22_final.stac-item
2023-08-08 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-08-08_final.stac-item
2023-09-03 11:56:05	ga_s2am_ard_3-2-1_50JKN_2023-09-03_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-11-29 11:43:10	ga_s2am_ard_3-2-1_51KTT_2023-11-29_final.stac-item
2023-12-05 12:03:37	ga_s2am_ard_3-2-1_50KKB_2023-12-05_final.stac-item
2023-12-20 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-12-20_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