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
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQF_2016-04-02_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KWB_2016-04-19_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KUR_2016-07-15_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-08-06_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JNM_2016-08-30_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVE_2016-09-20_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_51KUR_2016-10-26_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51JWL_2016-12-22_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51HUC_2017-01-01_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLL_2017-06-06_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KWR_2017-06-20_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HNK_2017-07-16_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HQH_2017-10-18_final
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_50KKA_2018-01-15_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNK_2018-01-19_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JWH_2018-04-23_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51JYN_2018-05-03_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-11_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JQN_2018-06-28_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JVF_2018-09-20_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50KKA_2018-10-02_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JTL_2018-10-13_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JVK_2018-10-13_final
2018-11-19 11:26:37	ga_s2am_ard_3-2-1_51HVD_2018-11-19_final
2018-11-21 12:03:52	ga_s2am_ard_3-2-1_49KHR_2018-11-21_final
2018-12-29 11:26:29	ga_s2am_ard_3-2-1_51HXD_2018-12-29_final
2019-02-20 11:36:39	ga_s2am_ard_3-2-1_51HUD_2019-02-20_final
2019-03-12 11:32:24	ga_s2am_ard_3-2-1_51KWA_2019-03-12_final
2019-05-21 11:32:47	ga_s2am_ard_3-2-1_51KWV_2019-05-21_final
2019-07-20 11:32:52	ga_s2am_ard_3-2-1_51KVV_2019-07-20_final
2019-09-01 11:43:04	ga_s2am_ard_3-2-1_51KTU_2019-09-01_final
2019-09-05 11:26:58	ga_s2am_ard_3-2-1_51HVC_2019-09-05_final
2019-10-01 11:42:47	ga_s2am_ard_3-2-1_51KUV_2019-10-01_final
2019-11-04 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-11-04_final
2019-12-20 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-12-20_final
2019-12-23 11:53:11	ga_s2am_ard_3-2-1_50KQC_2019-12-23_final
2020-02-15 11:36:13	ga_s2am_ard_3-2-1_50JQL_2020-02-15_final
2020-02-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2020-02-15_final.stac-item
2020-03-03 11:25:09	ga_s2am_ard_3-2-1_51JWK_2020-03-03_final
2020-03-26 11:33:00	ga_s2am_ard_3-2-1_51KWT_2020-03-26_final
2020-04-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-04-14_final
2020-04-21 11:53:18	ga_s2am_ard_3-2-1_50KQC_2020-04-21_final
2020-07-07 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-07-07_final
2020-07-17 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-07-17_final.stac-item
2020-08-15 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-15_final
2020-09-15 11:43:23	ga_s2am_ard_3-2-1_50KRC_2020-09-15_final
2020-12-01 11:34:14	ga_s2am_ard_3-2-1_51KVP_2020-12-01_final
2020-12-04 11:43:02	ga_s2am_ard_3-2-1_51KTU_2020-12-04_final
2020-12-10 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-12-10_final
2020-12-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2020-12-20_final
2021-01-14 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-01-14_final
2021-01-26 11:54:52	ga_s2am_ard_3-2-1_50JNS_2021-01-26_final
2021-02-16 11:24:50	ga_s2am_ard_3-2-1_51JYL_2021-02-16_final
2021-02-19 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-02-19_final
2021-04-13 11:43:45	ga_s2am_ard_3-2-1_50KQA_2021-04-13_final
2021-05-06 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-05-06_final
2021-05-27 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-05-27_final
2021-06-02 11:44:03	ga_s2am_ard_3-2-1_50KRV_2021-06-02_final
2021-07-26 11:26:09	ga_s2am_ard_3-2-1_51JUG_2021-07-26_final
2021-07-28 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-28_final
2021-08-07 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-08-07_final
2021-10-17 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2021-10-17_final
2021-10-21 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-21_final
2021-11-26 11:32:44	ga_s2am_ard_3-2-1_51KWV_2021-11-26_final
2021-12-16 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-12-16_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-12-25_final
2022-01-29 11:14:29	ga_s2am_ard_3-2-1_51JYN_2022-01-29_final
2022-03-22 11:54:14	ga_s2am_ard_3-2-1_50KNV_2022-03-22_final
2022-04-08 11:43:04	ga_s2am_ard_3-2-1_51KTU_2022-04-08_final
2022-04-11 11:55:44	ga_s2am_ard_3-2-1_50JLP_2022-04-11_final
2022-05-18 11:43:09	ga_s2am_ard_3-2-1_51KTU_2022-05-18_final
2022-07-03 12:05:25	ga_s2am_ard_3-2-1_50JKR_2022-07-03_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-07-04 11:37:30	ga_s2am_ard_3-2-1_50HQG_2022-07-04_final.stac-item
2022-07-30 11:56:09	ga_s2am_ard_3-2-1_50JKN_2022-07-30_final
2022-08-22 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-08-22_final.stac-item
2022-11-01 11:36:38	ga_s2am_ard_3-2-1_50HQK_2022-11-01_final.stac-item
2022-12-24 11:43:49	ga_s2am_ard_3-2-1_50KQA_2022-12-24_final.stac-item
2022-12-31 11:34:24	ga_s2am_ard_3-2-1_51JWN_2022-12-31_final.stac-item
2023-01-13 11:46:13	ga_s2am_ard_3-2-1_50JQL_2023-01-13_final.stac-item
2023-01-29 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-01-29_final.stac-item
2023-02-01 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-01_final.stac-item
2023-03-14 11:45:00	ga_s2am_ard_3-2-1_51JTL_2023-03-14_final.stac-item
2023-04-12 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-04-12_final.stac-item
2023-05-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-05-07_final.stac-item
2023-05-29 12:03:27	ga_s2am_ard_3-2-1_50KMC_2023-05-29_final.stac-item
2023-08-14 11:53:16	ga_s2am_ard_3-2-1_50KRC_2023-08-14_final.stac-item
2023-10-27 11:32:44	ga_s2am_ard_3-2-1_51KWV_2023-10-27_final.stac-item
2023-10-27 11:35:59	ga_s2am_ard_3-2-1_51JUG_2023-10-27_final.stac-item
2023-11-03 11:26:46	ga_s2am_ard_3-2-1_51HUD_2023-11-03_final.stac-item
2023-11-16 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-11-16_final.stac-item
2023-11-26 11:32:23	ga_s2am_ard_3-2-1_51KWA_2023-11-26_final.stac-item
2023-11-29 11:43:50	ga_s2am_ard_3-2-1_51KUQ_2023-11-29_final.stac-item
2024-02-17 11:46:35	ga_s2am_ard_3-2-1_50HNK_2024-02-17_final.stac-item
2024-03-11 11:55:21	ga_s2am_ard_3-2-1_50JNQ_2024-03-11_final.stac-item
2024-04-07 11:43:18	ga_s2am_ard_3-2-1_51KTT_2024-04-07_final.stac-item
2024-05-08 11:17:01	ga_s2am_ard_3-2-1_51HWC_2024-05-08_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