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
2016-01-06 12:04:05	ga_s2am_ard_3-2-1_49KHR_2016-01-06_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNG_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGM_2016-05-15_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGM_2016-06-27_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JNM_2016-12-15_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKN_2017-03-11_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQK_2017-04-01_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLK_2017-05-17_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JML_2017-08-15_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLH_2017-09-14_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JLP_2017-09-27_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMK_2017-10-24_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KQC_2017-12-30_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKM_2018-02-11_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-05-15 12:02:52	ga_s2am_ard_3-2-1_50KLC_2018-05-15_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-11_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JNP_2018-08-20_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQG_2018-09-13_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-10-02_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-21_final
2018-12-28 11:56:07	ga_s2am_ard_3-2-1_50JKM_2018-12-28_final
2019-01-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-01-10_final
2019-01-10 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-01-10_final
2019-01-23 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-23_final
2019-03-15 11:45:03	ga_s2am_ard_3-2-1_50JPR_2019-03-15_final
2019-04-14 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-04-14_final.stac-item
2019-05-04 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2019-05-04_final
2019-05-27 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-05-27_final
2019-05-31 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-05-31_final
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final
2019-07-09 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-09_final
2019-09-11 11:46:13	ga_s2am_ard_3-2-1_50JQL_2019-09-11_final
2019-10-11 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-10-11_final
2020-01-22 11:55:50	ga_s2am_ard_3-2-1_50JLN_2020-01-22_final
2020-02-21 11:53:15	ga_s2am_ard_3-2-1_50KPC_2020-02-21_final
2020-02-24 12:04:03	ga_s2am_ard_3-2-1_50KKV_2020-02-24_final
2020-03-26 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2020-03-26_final
2020-04-07 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-04-07_final
2020-05-05 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-05-05_final
2020-05-08 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-05-08_final
2020-06-10 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-06-10_final
2020-08-29 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-08-29_final
2020-09-08 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-09-08_final
2020-09-21 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-21_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-10-31_final
2020-11-10 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2020-11-10_final
2020-11-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2020-11-13_final
2020-12-04 11:46:18	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final
2020-12-14 11:43:19	ga_s2am_ard_3-2-1_50KQC_2020-12-14_final
2020-12-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2020-12-21_final
2021-01-26 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-01-26_final
2021-01-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-29_final
2021-02-18 12:03:40	ga_s2am_ard_3-2-1_50KLB_2021-02-18_final
2021-02-25 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-02-25_final
2021-05-13 11:46:04	ga_s2am_ard_3-2-1_50JPM_2021-05-13_final
2021-05-16 11:54:44	ga_s2am_ard_3-2-1_50JLT_2021-05-16_final
2021-06-22 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-22_final
2021-07-15 11:56:29	ga_s2am_ard_3-2-1_50JLL_2021-07-15_final
2021-07-22 11:46:19	ga_s2am_ard_3-2-1_50JQL_2021-07-22_final
2021-10-16 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-16_final
2021-11-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-11-19_final.stac-item
2022-01-14 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-14_final
2022-02-14 11:35:37	ga_s2am_ard_3-2-1_50JQP_2022-02-14_final
2022-02-24 11:37:05	ga_s2am_ard_3-2-1_50HQH_2022-02-24_final
2022-02-26 12:13:57	ga_s2am_ard_3-2-1_50KKA_2022-02-26_final
2022-02-27 11:46:40	ga_s2am_ard_3-2-1_50HNK_2022-02-27_final
2022-04-04 12:04:29	ga_s2am_ard_3-2-1_50KKU_2022-04-04_final
2022-04-14 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2022-04-14_final
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-05-04 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-05-04_final
2022-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-05-07_final
2022-07-03 12:05:14	ga_s2am_ard_3-2-1_49JGM_2022-07-03_final
2022-07-10 11:55:04	ga_s2am_ard_3-2-1_50JNS_2022-07-10_final
2022-07-23 12:04:17	ga_s2am_ard_3-2-1_50KMV_2022-07-23_final
2022-07-24 11:36:01	ga_s2am_ard_3-2-1_50JQN_2022-07-24_final
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-10-12 11:36:39	ga_s2am_ard_3-2-1_50HQK_2022-10-12_final.stac-item
2022-10-21 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-21_final.stac-item
2022-10-21 12:05:53	ga_s2am_ard_3-2-1_50JLN_2022-10-21_final.stac-item
2022-11-20 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-11-20_final.stac-item
2023-01-16 11:55:53	ga_s2am_ard_3-2-1_50JLN_2023-01-16_final.stac-item
2023-01-29 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-01-29_final.stac-item
2023-02-19 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-02-19_final.stac-item
2023-04-03 11:45:04	ga_s2am_ard_3-2-1_50JQR_2023-04-03_final.stac-item
2023-04-30 11:36:34	ga_s2am_ard_3-2-1_50HQK_2023-04-30_final.stac-item
2023-06-02 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2023-06-02_final.stac-item
2023-06-08 12:04:02	ga_s2am_ard_3-2-1_50KKA_2023-06-08_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-07-25 11:55:40	ga_s2am_ard_3-2-1_50JNP_2023-07-25_final.stac-item
2023-08-20 12:14:00	ga_s2am_ard_3-2-1_50KKA_2023-08-20_final.stac-item
2023-09-13 11:55:46	ga_s2am_ard_3-2-1_50JLP_2023-09-13_final.stac-item
2023-09-16 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-09-16_final.stac-item
2023-12-05 12:05:34	ga_s2am_ard_3-2-1_50JKP_2023-12-05_final.stac-item
2023-12-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-12-18_final.stac-item
2023-12-22 11:53:17	ga_s2am_ard_3-2-1_50KPC_2023-12-22_final.stac-item
2023-12-25 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-12-25_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