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
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JFM_2015-11-20_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHS_2016-05-18_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQM_2016-07-08_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLL_2016-08-30_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKP_2016-12-11_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51JVH_2017-01-01_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KNC_2017-01-07_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLP_2017-01-30_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-04-20_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KVU_2017-04-21_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HUD_2017-04-28_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KUR_2017-06-20_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLT_2017-07-09_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JRS_2017-08-12_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50KMC_2017-10-24_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVQ_2017-12-17_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51HYE_2017-12-31_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KVV_2018-01-19_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51JXH_2018-05-20_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKP_2018-06-14_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51JVF_2018-07-12_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KVV_2018-07-25_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KUV_2018-10-16_final
2018-12-18 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-12-18_final.stac-item
2019-05-08 11:27:02	ga_s2am_ard_3-2-1_51HVC_2019-05-08_final
2019-05-27 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-27_final.stac-item
2019-05-28 11:25:12	ga_s2am_ard_3-2-1_51JXK_2019-05-28_final
2019-07-03 11:46:06	ga_s2am_ard_3-2-1_50JNN_2019-07-03_final
2019-07-26 11:53:15	ga_s2am_ard_3-2-1_50KRC_2019-07-26_final
2019-07-26 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-26_final
2019-08-12 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2019-08-12_final
2019-09-11 11:47:01	ga_s2am_ard_3-2-1_50HPH_2019-09-11_final
2019-09-14 11:54:43	ga_s2am_ard_3-2-1_50JLT_2019-09-14_final
2019-11-26 12:06:04	ga_s2am_ard_3-2-1_50JLM_2019-11-26_final
2019-11-29 12:14:26	ga_s2am_ard_3-2-1_49KGP_2019-11-29_final
2019-12-17 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2019-12-17_final
2019-12-21 11:15:04	ga_s2am_ard_3-2-1_51JYK_2019-12-21_final
2020-01-19 11:43:12	ga_s2am_ard_3-2-1_50KRC_2020-01-19_final
2020-01-25 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-01-25_final
2020-03-13 11:24:33	ga_s2am_ard_3-2-1_51JYM_2020-03-13_final
2020-03-13 11:26:28	ga_s2am_ard_3-2-1_51HUE_2020-03-13_final
2020-04-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-04-08_final.stac-item
2020-04-25 11:37:19	ga_s2am_ard_3-2-1_50HQG_2020-04-25_final.stac-item
2020-04-27 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-04-27_final
2020-05-11 11:53:22	ga_s2am_ard_3-2-1_50KQC_2020-05-11_final
2020-06-20 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-06-20_final
2020-06-30 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-06-30_final
2020-08-02 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-02_final
2020-10-18 11:53:30	ga_s2am_ard_3-2-1_50KNC_2020-10-18_final
2020-10-21 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-10-21_final
2020-11-03 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-11-03_final
2020-11-11 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-11-11_final
2020-12-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-12-30_final
2021-01-09 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-09_final
2021-01-10 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-01-10_final
2021-02-03 11:16:30	ga_s2am_ard_3-2-1_51HWE_2021-02-03_final
2021-02-21 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-21_final
2021-04-13 11:46:28	ga_s2am_ard_3-2-1_50HPK_2021-04-13_final
2021-07-29 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final
2021-08-01 11:42:45	ga_s2am_ard_3-2-1_51KVV_2021-08-01_final
2021-08-22 11:16:33	ga_s2am_ard_3-2-1_51HWE_2021-08-22_final
2021-09-11 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-09-11_final
2021-10-06 12:05:05	ga_s2am_ard_3-2-1_49JGM_2021-10-06_final
2021-12-26 11:32:48	ga_s2am_ard_3-2-1_51KVV_2021-12-26_final
2022-01-12 11:24:38	ga_s2am_ard_3-2-1_51JYM_2022-01-12_final
2022-01-29 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-29_final
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final
2022-02-27 11:43:21	ga_s2am_ard_3-2-1_51KTT_2022-02-27_final
2022-03-16 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-03-16_final
2022-04-04 12:05:05	ga_s2am_ard_3-2-1_50JLR_2022-04-04_final
2022-04-05 11:32:21	ga_s2am_ard_3-2-1_51KVB_2022-04-05_final
2022-05-18 11:46:31	ga_s2am_ard_3-2-1_50JML_2022-05-18_final
2022-05-28 11:43:40	ga_s2am_ard_3-2-1_51KTS_2022-05-28_final
2022-06-01 11:27:06	ga_s2am_ard_3-2-1_51HVC_2022-06-01_final
2022-06-03 12:05:49	ga_s2am_ard_3-2-1_50JKP_2022-06-03_final
2022-07-13 12:04:59	ga_s2am_ard_3-2-1_49JGN_2022-07-13_final
2022-07-20 11:52:31	ga_s2am_ard_3-2-1_50KQG_2022-07-20_final.stac-item
2022-10-25 11:43:46	ga_s2am_ard_3-2-1_51KUR_2022-10-25_final.stac-item
2022-11-20 12:04:40	ga_s2am_ard_3-2-1_50JLT_2022-11-20_final.stac-item
2023-01-04 11:14:41	ga_s2am_ard_3-2-1_51JYM_2023-01-04_final.stac-item
2023-02-18 12:05:07	ga_s2am_ard_3-2-1_50JKR_2023-02-18_final.stac-item
2023-02-22 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-22_final.stac-item
2023-02-28 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2023-02-28_final.stac-item
2023-04-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-04-12_final.stac-item
2023-05-14 11:14:38	ga_s2am_ard_3-2-1_51JZM_2023-05-14_final.stac-item
2023-06-09 11:32:50	ga_s2am_ard_3-2-1_51KVV_2023-06-09_final.stac-item
2023-08-28 11:32:52	ga_s2am_ard_3-2-1_51KVV_2023-08-28_final.stac-item
2023-09-24 11:24:53	ga_s2am_ard_3-2-1_51JYL_2023-09-24_final.stac-item
2023-09-26 12:06:06	ga_s2am_ard_3-2-1_50JLM_2023-09-26_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-12-16 11:32:43	ga_s2am_ard_3-2-1_51KVV_2023-12-16_final.stac-item
2024-01-22 11:24:48	ga_s2am_ard_3-2-1_51JXL_2024-01-22_final.stac-item
2024-01-22 11:25:49	ga_s2am_ard_3-2-1_51JWG_2024-01-22_final.stac-item
2024-02-17 11:42:25	ga_s2am_ard_3-2-1_51KVA_2024-02-17_final.stac-item
2024-03-28 11:43:25	ga_s2am_ard_3-2-1_51KVS_2024-03-28_final.stac-item
2024-04-23 12:04:42	ga_s2am_ard_3-2-1_50JLT_2024-04-23_final.stac-item
2024-04-30 11:53:24	ga_s2am_ard_3-2-1_50KPC_2024-04-30_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