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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JPL_2015-10-22_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51JVL_2015-12-08_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNM_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUU_2016-01-20_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMC_2016-07-21_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KXV_2016-08-04_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51HTD_2016-11-02_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGR_2016-12-04_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JYN_2017-01-08_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HNK_2017-04-07_final.stac-item
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KWQ_2017-05-11_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-30_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KWQ_2018-05-16_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50KPC_2018-06-01_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUU_2018-06-08_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JQL_2018-06-28_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KWT_2018-07-25_final
2018-11-09 11:24:18	ga_s2am_ard_3-2-1_51JYN_2018-11-09_final
2018-12-26 11:16:37	ga_s2am_ard_3-2-1_51HWD_2018-12-26_final
2018-12-29 11:26:33	ga_s2am_ard_3-2-1_51HWD_2018-12-29_final
2019-02-09 12:05:45	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-04-01 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-04-01_final
2019-06-07 11:24:04	ga_s2am_ard_3-2-1_51KXQ_2019-06-07_final
2019-06-30 11:32:24	ga_s2am_ard_3-2-1_51KVB_2019-06-30_final
2019-09-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-09-30_final
2019-11-07 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-11-07_final
2019-12-07 11:33:20	ga_s2am_ard_3-2-1_51KUT_2019-12-07_final
2019-12-07 11:36:42	ga_s2am_ard_3-2-1_51HTD_2019-12-07_final
2019-12-13 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-12-13_final
2020-01-13 11:23:08	ga_s2am_ard_3-2-1_51KXT_2020-01-13_final
2020-01-16 11:34:05	ga_s2am_ard_3-2-1_51KWP_2020-01-16_final
2020-01-29 11:43:01	ga_s2am_ard_3-2-1_51KVT_2020-01-29_final
2020-01-29 11:44:38	ga_s2am_ard_3-2-1_51JTM_2020-01-29_final
2020-02-04 12:05:47	ga_s2am_ard_3-2-1_50JKN_2020-02-04_final
2020-02-28 11:42:41	ga_s2am_ard_3-2-1_51KUV_2020-02-28_final
2020-03-03 11:26:13	ga_s2am_ard_3-2-1_51JUF_2020-03-03_final
2020-04-01 11:53:31	ga_s2am_ard_3-2-1_50KPB_2020-04-01_final
2020-04-18 11:42:09	ga_s2am_ard_3-2-1_51KWB_2020-04-18_final
2020-04-21 11:56:37	ga_s2am_ard_3-2-1_50HMK_2020-04-21_final
2020-04-22 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2020-04-22_final
2020-06-04 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-06-04_final
2020-06-04 11:32:53	ga_s2am_ard_3-2-1_51KVV_2020-06-04_final
2020-07-13 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-13_final
2020-08-23 11:33:12	ga_s2am_ard_3-2-1_51KXT_2020-08-23_final
2020-09-02 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-09-02_final
2020-09-25 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-09-25_final
2020-10-25 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-10-25_final
2020-11-18 11:25:16	ga_s2am_ard_3-2-1_51JWK_2020-11-18_final
2020-12-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-23_final
2021-01-10 11:32:30	ga_s2am_ard_3-2-1_51KWA_2021-01-10_final
2021-01-10 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-01-10_final
2021-01-20 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-01-20_final
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-01-22_final
2021-03-11 11:33:41	ga_s2am_ard_3-2-1_51KWR_2021-03-11_final
2021-04-13 11:43:12	ga_s2am_ard_3-2-1_51KTT_2021-04-13_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-04-16 11:53:25	ga_s2am_ard_3-2-1_50KMC_2021-04-16_final
2021-04-16 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2021-04-16_final
2021-04-23 11:42:41	ga_s2am_ard_3-2-1_51KUV_2021-04-23_final
2021-05-06 11:56:16	ga_s2am_ard_3-2-1_50JNL_2021-05-06_final
2021-06-19 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-06-19_final
2021-06-28 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-06-28_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-09-11 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-09-11_final
2021-09-19 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-09-19_final
2021-09-20 11:43:17	ga_s2am_ard_3-2-1_51KUT_2021-09-20_final
2021-12-06 11:33:33	ga_s2am_ard_3-2-1_51KUS_2021-12-06_final
2022-01-02 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-01-02_final
2022-02-21 11:24:10	ga_s2am_ard_3-2-1_51KYP_2022-02-21_final
2022-03-19 11:43:04	ga_s2am_ard_3-2-1_51KUU_2022-03-19_final
2022-03-26 11:32:22	ga_s2am_ard_3-2-1_51KVB_2022-03-26_final
2022-04-12 11:23:45	ga_s2am_ard_3-2-1_51KXR_2022-04-12_final
2022-05-05 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-05_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-05-07_final
2022-06-01 11:26:40	ga_s2am_ard_3-2-1_51HUE_2022-06-01_final
2022-06-03 12:04:21	ga_s2am_ard_3-2-1_49KHQ_2022-06-03_final
2022-06-03 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-06-03_final
2022-07-07 11:46:43	ga_s2am_ard_3-2-1_50HQK_2022-07-07_final
2022-07-20 11:53:22	ga_s2am_ard_3-2-1_50KRC_2022-07-20_final
2022-10-18 11:55:41	ga_s2am_ard_3-2-1_50JMP_2022-10-18_final.stac-item
2022-12-08 11:23:25	ga_s2am_ard_3-2-1_51KYS_2022-12-08_final.stac-item
2023-01-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2023-01-23_final.stac-item
2023-02-01 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-02-01_final.stac-item
2023-03-05 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-03-05_final.stac-item
2023-05-07 11:22:27	ga_s2am_ard_3-2-1_51KYA_2023-05-07_final.stac-item
2023-05-13 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-05-13_final.stac-item
2023-06-01 12:14:35	ga_s2am_ard_3-2-1_49KFP_2023-06-01_nrt.stac-item
2023-06-12 11:43:26	ga_s2am_ard_3-2-1_50KQC_2023-06-12_final.stac-item
2023-07-22 11:43:22	ga_s2am_ard_3-2-1_51KTT_2023-07-22_final.stac-item
2023-07-26 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-07-26_final.stac-item
2023-08-18 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2023-08-18_final.stac-item
2023-08-21 11:42:15	ga_s2am_ard_3-2-1_51KWB_2023-08-21_final.stac-item
2023-12-06 11:33:06	ga_s2am_ard_3-2-1_51KWT_2023-12-06_final.stac-item
2023-12-06 11:33:35	ga_s2am_ard_3-2-1_51KWR_2023-12-06_final.stac-item
2024-01-15 11:32:19	ga_s2am_ard_3-2-1_51KXA_2024-01-15_final.stac-item
2024-02-07 11:42:23	ga_s2am_ard_3-2-1_51KVA_2024-02-07_final.stac-item
2024-02-07 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-02-07_final.stac-item
2024-03-05 11:36:18	ga_s2am_ard_3-2-1_51JTF_2024-03-05_final.stac-item
2024-03-08 11:44:06	ga_s2am_ard_3-2-1_50KQV_2024-03-08_final.stac-item
2024-03-31 11:57:08	ga_s2am_ard_3-2-1_50HLH_2024-03-31_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