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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JFM_2015-09-11_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPL_2016-03-20_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HNK_2016-06-11_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51HUC_2016-07-02_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JNL_2016-10-19_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_50KKB_2016-11-14_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQG_2016-12-22_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-01-30_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-01-30_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KRC_2017-03-25_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HMH_2017-05-04_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JQL_2017-05-11_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50JQL_2017-09-08_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-10-10_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLN_2017-10-24_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KNA_2017-11-06_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KQV_2018-01-12_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HUC_2018-03-17_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKP_2018-03-23_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQH_2018-04-16_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KNC_2018-05-25_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51HTC_2018-06-25_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPH_2018-07-05_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPL_2018-08-07_final
2018-12-09 11:26:53	ga_s2am_ard_3-2-1_51HUC_2018-12-09_final
2019-01-04 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-01-04_final
2019-01-27 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-01-27_final.stac-item
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final
2019-03-01 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-04-13 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-04-13_final
2019-04-14 11:46:45	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final
2019-05-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-05-07_final
2019-06-06 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-06-06_final
2019-06-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-06-06_final
2019-06-13 11:45:35	ga_s2am_ard_3-2-1_50JQP_2019-06-13_final
2019-06-13 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-06-13_final
2019-07-12 12:13:59	ga_s2am_ard_3-2-1_50KKA_2019-07-12_final
2019-07-20 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-20_final
2019-07-26 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-26_final.stac-item
2019-09-01 11:47:03	ga_s2am_ard_3-2-1_50HPH_2019-09-01_final
2019-11-13 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-11-13_final.stac-item
2019-11-23 11:53:25	ga_s2am_ard_3-2-1_50KNC_2019-11-23_final
2019-12-03 11:52:18	ga_s2am_ard_3-2-1_50KQG_2019-12-03_final.stac-item
2019-12-03 11:55:51	ga_s2am_ard_3-2-1_50JMN_2019-12-03_final
2020-01-05 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-01-05_final
2020-01-29 11:46:06	ga_s2am_ard_3-2-1_50JMM_2020-01-29_final
2020-02-28 11:43:14	ga_s2am_ard_3-2-1_50KRC_2020-02-28_final
2020-03-15 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-03-15_final
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_49KHR_2020-04-14_final
2020-04-21 11:53:18	ga_s2am_ard_3-2-1_50KQC_2020-04-21_final
2020-06-13 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-06-13_final
2020-07-20 11:53:22	ga_s2am_ard_3-2-1_50KQC_2020-07-20_final
2020-07-27 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-07-27_final
2020-08-29 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-08-29_final
2020-08-29 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-08-29_final
2020-11-01 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-11-01_final
2020-12-01 11:37:00	ga_s2am_ard_3-2-1_51HTC_2020-12-01_final
2021-02-28 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-02-28_final
2021-04-20 11:34:32	ga_s2am_ard_3-2-1_50JRT_2021-04-20_final
2021-05-06 11:54:12	ga_s2am_ard_3-2-1_50KQU_2021-05-06_final
2021-05-06 11:56:06	ga_s2am_ard_3-2-1_50JMM_2021-05-06_final
2021-05-23 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-05-23_final
2021-06-15 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-06-15_final.stac-item
2021-12-02 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-12-02_final
2021-12-23 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-12-23_final
2022-01-01 11:53:19	ga_s2am_ard_3-2-1_50KQC_2022-01-01_final
2022-01-31 11:53:17	ga_s2am_ard_3-2-1_50KQC_2022-01-31_final
2022-03-02 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-03-02_final
2022-04-11 11:56:06	ga_s2am_ard_3-2-1_50JNM_2022-04-11_final
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final
2022-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-05-11_final
2022-05-25 11:36:35	ga_s2am_ard_3-2-1_51HUE_2022-05-25_final
2022-06-03 12:03:52	ga_s2am_ard_3-2-1_50KKB_2022-06-03_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-08-02_final
2022-08-03 11:36:57	ga_s2am_ard_3-2-1_51HTD_2022-08-03_final
2022-08-09 11:54:16	ga_s2am_ard_3-2-1_50KPV_2022-08-09_final
2022-09-01 12:03:35	ga_s2am_ard_3-2-1_50KMC_2022-09-01_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-12-17 11:53:10	ga_s2am_ard_3-2-1_50KRC_2022-12-17_final.stac-item
2022-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2022-12-20_final.stac-item
2022-12-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2022-12-23_final.stac-item
2023-01-16 11:53:21	ga_s2am_ard_3-2-1_50KNC_2023-01-16_final.stac-item
2023-03-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-31_final.stac-item
2023-04-03 11:44:44	ga_s2am_ard_3-2-1_50JRS_2023-04-03_final.stac-item
2023-04-13 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2023-04-13_final.stac-item
2023-04-27 11:26:47	ga_s2am_ard_3-2-1_51HUD_2023-04-27_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-05-27_final.stac-item
2023-06-01 12:14:22	ga_s2am_ard_3-2-1_50KKU_2023-06-01_final.stac-item
2023-08-31 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-08-31_final.stac-item
2023-09-06 12:03:29	ga_s2am_ard_3-2-1_50KMC_2023-09-06_final.stac-item
2023-10-19 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-19_final.stac-item
2023-10-20 11:43:18	ga_s2am_ard_3-2-1_50KRC_2023-10-20_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-11-05_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-26 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2023-12-26_final.stac-item
2024-01-11 11:56:02	ga_s2am_ard_3-2-1_50JMM_2024-01-11_final.stac-item
2024-01-21 11:56:44	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-10 11:53:21	ga_s2am_ard_3-2-1_50KNC_2024-02-10_final.stac-item
2024-03-02 11:27:07	ga_s2am_ard_3-2-1_51HTC_2024-03-02_final.stac-item
2024-04-13 12:03:46	ga_s2am_ard_3-2-1_50KKB_2024-04-13_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