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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JQL_2016-05-09_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KVQ_2016-07-15_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KUT_2016-07-28_final.stac-item
2016-10-15 12:14:55	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUU_2017-01-14_final
2017-04-18 11:26:09	ga_s2am_ard_3-2-1_51HUE_2017-04-18_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPJ_2017-05-11_final
2017-06-13 11:40:49	ga_s2am_ard_3-2-1_51KVT_2017-06-13_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-10-10_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNJ_2017-10-11_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUV_2017-11-20_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KKB_2017-11-26_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JUF_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWT_2017-12-17_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HVC_2018-02-02_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JWG_2018-06-02_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGK_2018-06-24_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWT_2018-07-25_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-08-24 11:26:19	ga_s2am_ard_3-2-1_51KWT_2018-08-24_final
2018-12-02 11:33:36	ga_s2am_ard_3-2-1_51KVR_2018-12-02_final
2018-12-25 11:43:07	ga_s2am_ard_3-2-1_51KUT_2018-12-25_final
2019-01-30 12:05:38	ga_s2am_ard_3-2-1_50JKP_2019-01-30_final
2019-03-11 12:03:22	ga_s2am_ard_3-2-1_50KLC_2019-03-11_final
2019-03-31 12:05:55	ga_s2am_ard_3-2-1_50JKN_2019-03-31_final
2019-05-01 11:33:07	ga_s2am_ard_3-2-1_51KWU_2019-05-01_final
2019-05-14 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-05-14_final
2019-06-09 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-06-09_final
2019-07-22 12:13:59	ga_s2am_ard_3-2-1_50KKA_2019-07-22_final
2019-08-16 11:24:40	ga_s2am_ard_3-2-1_51JYM_2019-08-16_final
2019-11-03 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-11-03_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2019-12-30 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-12-30_final
2020-01-16 11:36:29	ga_s2am_ard_3-2-1_50HQK_2020-01-16_final
2020-01-29 11:43:10	ga_s2am_ard_3-2-1_51KUT_2020-01-29_final
2020-02-21 11:56:12	ga_s2am_ard_3-2-1_50JNL_2020-02-21_final
2020-03-29 11:43:21	ga_s2am_ard_3-2-1_51KVS_2020-03-29_final
2020-04-05 11:34:07	ga_s2am_ard_3-2-1_51KWP_2020-04-05_final
2020-04-25 11:33:14	ga_s2am_ard_3-2-1_51KWT_2020-04-25_final
2020-05-15 11:34:54	ga_s2am_ard_3-2-1_51JVM_2020-05-15_final
2020-06-17 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-06-17_final
2020-07-31 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-07-31_final
2020-09-08 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-09-08_final
2020-09-22 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-09-22_final
2020-10-18 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-10-18_final
2020-10-22 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-10-22_final
2020-11-04 11:46:02	ga_s2am_ard_3-2-1_51JTG_2020-11-04_final
2020-11-14 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-11-14_final
2020-11-24 11:42:58	ga_s2am_ard_3-2-1_51KVU_2020-11-24_final
2020-11-25 11:14:39	ga_s2am_ard_3-2-1_51JZM_2020-11-25_final
2020-12-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-12-01_final
2021-02-22 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-02-22_final
2021-03-24 11:42:12	ga_s2am_ard_3-2-1_51KVB_2021-03-24_final
2021-03-31 11:33:25	ga_s2am_ard_3-2-1_51KWS_2021-03-31_final
2021-03-31 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-03-31_final
2021-04-03 11:43:08	ga_s2am_ard_3-2-1_51KVT_2021-04-03_final
2021-04-03 11:43:26	ga_s2am_ard_3-2-1_51KUS_2021-04-03_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-05-13 11:43:29	ga_s2am_ard_3-2-1_51KUS_2021-05-13_final
2021-06-09 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-06-09_final
2021-07-02 11:43:13	ga_s2am_ard_3-2-1_51KVT_2021-07-02_final
2021-07-21 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-07-21_final
2021-10-11 11:16:13	ga_s2am_ard_3-2-1_51JYF_2021-10-11_final
2021-11-06 11:34:58	ga_s2am_ard_3-2-1_51JWL_2021-11-06_final
2021-12-16 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-12-16_final
2022-03-03 11:26:36	ga_s2am_ard_3-2-1_51HUE_2022-03-03_final
2022-04-15 11:37:04	ga_s2am_ard_3-2-1_51HTC_2022-04-15_final
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-05-14_final
2022-06-01 11:25:11	ga_s2am_ard_3-2-1_51JVL_2022-06-01_final
2022-06-04 11:37:09	ga_s2am_ard_3-2-1_51HTC_2022-06-04_final
2022-06-27 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-06-27_final
2022-07-01 11:26:59	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-07-31 11:27:08	ga_s2am_ard_3-2-1_51HVC_2022-07-31_final
2022-08-13 11:33:28	ga_s2am_ard_3-2-1_51KVT_2022-08-13_final
2022-09-21 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-09-21_final.stac-item
2022-09-25 11:46:59	ga_s2am_ard_3-2-1_50HNJ_2022-09-25_final.stac-item
2022-10-26 11:16:21	ga_s2am_ard_3-2-1_51HXE_2022-10-26_final.stac-item
2023-04-13 11:43:47	ga_s2am_ard_3-2-1_50KRA_2023-04-13_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-04-19_final.stac-item
2023-04-23 11:43:10	ga_s2am_ard_3-2-1_51KVT_2023-04-23_final.stac-item
2023-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-05-12_final.stac-item
2023-05-30 11:33:45	ga_s2am_ard_3-2-1_51KWR_2023-05-30_final.stac-item
2023-06-25 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-06-25_final.stac-item
2023-08-05 11:27:03	ga_s2am_ard_3-2-1_51HVC_2023-08-05_final.stac-item
2023-08-18 11:33:48	ga_s2am_ard_3-2-1_51KWR_2023-08-18_final.stac-item
2023-10-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-09_final.stac-item
2023-10-16 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-10-16_final.stac-item
2023-10-30 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-30_final.stac-item
2023-12-16 11:33:09	ga_s2am_ard_3-2-1_51KWT_2023-12-16_final.stac-item
2023-12-23 11:27:04	ga_s2am_ard_3-2-1_51HTC_2023-12-23_final.stac-item
2023-12-26 11:33:39	ga_s2am_ard_3-2-1_51KWR_2023-12-26_final.stac-item
2024-01-05 11:33:24	ga_s2am_ard_3-2-1_51KWS_2024-01-05_final.stac-item
2024-02-04 11:33:26	ga_s2am_ard_3-2-1_51KVS_2024-02-04_final.stac-item
2024-02-07 11:43:07	ga_s2am_ard_3-2-1_51KVT_2024-02-07_final.stac-item
2024-02-21 11:26:45	ga_s2am_ard_3-2-1_51HUD_2024-02-21_final.stac-item
2024-04-07 11:43:17	ga_s2am_ard_3-2-1_51KUT_2024-04-07_final.stac-item
2024-04-10 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-04-10_final.stac-item
2024-05-04 11:33:46	ga_s2am_ard_3-2-1_51KWR_2024-05-04_final.stac-item
2024-05-04 11:33:48	ga_s2am_ard_3-2-1_51KVR_2024-05-04_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