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
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KQG_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNL_2015-12-04_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HQJ_2015-12-21_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KVS_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRC_2016-03-20_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JYJ_2016-05-10_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKB_2016-05-15_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HUC_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JUF_2016-06-12_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KUR_2016-11-22_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51JVG_2017-02-10_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-12_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KUT_2017-02-20_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50JPL_2017-07-10_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51JYK_2017-07-17_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGN_2017-09-20_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRV_2017-12-30_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPH_2018-01-19_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HWC_2018-06-22_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50KNC_2018-07-01_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KUQ_2018-07-25_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUD_2018-08-04_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPG_2018-10-13_final.stac-item
2018-11-25 11:46:54	ga_s2am_ard_3-2-1_50HPH_2018-11-25_final
2019-01-04 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-01-04_final
2019-03-22 11:32:18	ga_s2am_ard_3-2-1_51KVB_2019-03-22_final
2019-04-14 11:46:10	ga_s2am_ard_3-2-1_50JNM_2019-04-14_final
2019-04-23 12:15:03	ga_s2am_ard_3-2-1_49JFM_2019-04-23_final
2019-05-04 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-05-04_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-05-05 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2019-05-05_final
2019-06-10 11:36:20	ga_s2am_ard_3-2-1_51JTF_2019-06-10_final
2019-06-30 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-06-30_final.stac-item
2019-07-06 11:53:36	ga_s2am_ard_3-2-1_50KMC_2019-07-06_final
2019-07-09 12:04:09	ga_s2am_ard_3-2-1_50KLA_2019-07-09_final
2019-07-14 11:14:34	ga_s2am_ard_3-2-1_51JYN_2019-07-14_final
2019-07-23 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2019-07-23_final
2019-09-04 11:56:14	ga_s2am_ard_3-2-1_50JKM_2019-09-04_final
2019-09-22 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2019-09-22_final
2019-10-07 12:05:54	ga_s2am_ard_3-2-1_50JLN_2019-10-07_final
2019-11-10 11:43:07	ga_s2am_ard_3-2-1_51KVT_2019-11-10_final
2019-11-10 11:43:09	ga_s2am_ard_3-2-1_51KTU_2019-11-10_final
2019-11-20 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-11-20_final
2019-12-30 11:43:31	ga_s2am_ard_3-2-1_50KQB_2019-12-30_final
2020-01-09 11:47:15	ga_s2am_ard_3-2-1_50HNG_2020-01-09_final.stac-item
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final
2020-04-25 11:33:50	ga_s2am_ard_3-2-1_51KUR_2020-04-25_final
2020-05-04 12:04:02	ga_s2am_ard_3-2-1_50KKA_2020-05-04_final.stac-item
2020-06-07 11:43:25	ga_s2am_ard_3-2-1_50KRC_2020-06-07_final
2020-06-21 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-06-21_final
2020-07-21 11:25:47	ga_s2am_ard_3-2-1_51JWH_2020-07-21_final
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-07-23_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-10-15 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-10-15_final
2020-10-19 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-10-19_final
2021-01-03 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-01-03_final
2021-01-04 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-04_final
2021-01-17 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-01-17_final
2021-01-20 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-01-20_final
2021-03-24 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-03-24_final
2021-04-07 11:25:56	ga_s2am_ard_3-2-1_51JVG_2021-04-07_final
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-06-21 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-06-21_final
2021-07-22 11:43:03	ga_s2am_ard_3-2-1_51KUU_2021-07-22_final
2021-07-29 11:35:51	ga_s2am_ard_3-2-1_51JTH_2021-07-29_final
2021-09-17 11:34:27	ga_s2am_ard_3-2-1_51JWN_2021-09-17_final
2021-10-26 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-26_final
2021-11-05 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-11-05_final
2021-11-12 11:52:36	ga_s2am_ard_3-2-1_50KQF_2021-11-12_final.stac-item
2021-11-23 11:25:06	ga_s2am_ard_3-2-1_51JYK_2021-11-23_final
2021-11-29 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-11-29_final
2021-12-16 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-12-16_final
2021-12-23 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-12-23_final
2022-01-24 12:03:59	ga_s2am_ard_3-2-1_50KKA_2022-01-24_final
2022-01-29 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-29_final
2022-04-08 11:42:14	ga_s2am_ard_3-2-1_51KVB_2022-04-08_final
2022-04-28 11:44:21	ga_s2am_ard_3-2-1_51KTP_2022-04-28_final
2022-08-02 12:03:37	ga_s2am_ard_3-2-1_50KLC_2022-08-02_final
2022-08-03 11:36:53	ga_s2am_ard_3-2-1_51HUD_2022-08-03_final
2022-11-15 11:14:26	ga_s2am_ard_3-2-1_51JZN_2022-11-15_final.stac-item
2022-11-28 11:26:58	ga_s2am_ard_3-2-1_51HVC_2022-11-28_final.stac-item
2023-02-02 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-02-02_final.stac-item
2023-02-16 11:25:06	ga_s2am_ard_3-2-1_51JXK_2023-02-16_final.stac-item
2023-02-18 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-02-18_final.stac-item
2023-02-22 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-02-22_final.stac-item
2023-04-03 11:44:15	ga_s2am_ard_3-2-1_51KTP_2023-04-03_final.stac-item
2023-04-19 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-04-19_final.stac-item
2023-05-30 11:33:52	ga_s2am_ard_3-2-1_51KUR_2023-05-30_final.stac-item
2023-06-15 11:55:57	ga_s2am_ard_3-2-1_50JMN_2023-06-15_final.stac-item
2023-06-23 11:15:14	ga_s2am_ard_3-2-1_51JYK_2023-06-23_final.stac-item
2023-08-27 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-27_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-03 11:25:12	ga_s2am_ard_3-2-1_51JWK_2023-11-03_final.stac-item
2023-12-06 11:35:31	ga_s2am_ard_3-2-1_51JVH_2023-12-06_final.stac-item
2023-12-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2023-12-08_final.stac-item
2023-12-12 11:53:20	ga_s2am_ard_3-2-1_50KNC_2023-12-12_final.stac-item
2024-02-24 11:36:22	ga_s2am_ard_3-2-1_51HVE_2024-02-24_final.stac-item
2024-03-18 11:43:18	ga_s2am_ard_3-2-1_51KTT_2024-03-18_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