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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVA_2015-12-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKP_2016-01-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KVS_2016-03-20_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVD_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKU_2016-05-18_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KUS_2016-11-22_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWB_2016-12-06_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVT_2017-01-14_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KRD_2017-06-06_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUQ_2017-11-07_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUT_2017-12-17_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51HTD_2018-01-06_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51JTN_2018-01-06_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KQF_2018-01-12_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KUQ_2018-01-26_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKA_2018-03-09_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KRD_2018-06-11_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KQG_2018-10-29_final.stac-item
2018-11-12 11:32:53	ga_s2am_ard_3-2-1_51KWU_2018-11-12_final
2018-11-12 11:33:07	ga_s2am_ard_3-2-1_51KWT_2018-11-12_final
2018-11-12 11:34:12	ga_s2am_ard_3-2-1_51KUP_2018-11-12_final
2018-11-22 11:32:51	ga_s2am_ard_3-2-1_51KWU_2018-11-22_final
2018-11-22 11:33:14	ga_s2am_ard_3-2-1_51KXS_2018-11-22_final
2018-11-22 11:34:08	ga_s2am_ard_3-2-1_51JXN_2018-11-22_final
2018-12-12 11:33:04	ga_s2am_ard_3-2-1_51KWT_2018-12-12_final
2018-12-15 11:44:04	ga_s2am_ard_3-2-1_51KUP_2018-12-15_final
2019-01-01 11:33:42	ga_s2am_ard_3-2-1_51KUR_2019-01-01_final
2019-01-11 11:33:34	ga_s2am_ard_3-2-1_51KXR_2019-01-11_final
2019-01-14 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-14_final
2019-01-31 11:32:08	ga_s2am_ard_3-2-1_51KXB_2019-01-31_final
2019-02-10 11:33:42	ga_s2am_ard_3-2-1_51KVR_2019-02-10_final
2019-02-10 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2019-02-10_final
2019-02-20 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-02-20_final
2019-02-23 11:43:21	ga_s2am_ard_3-2-1_51KVS_2019-02-23_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-06-19_final.stac-item
2019-07-26 11:53:08	ga_s2am_ard_3-2-1_50KQD_2019-07-26_final.stac-item
2019-10-31 11:43:18	ga_s2am_ard_3-2-1_51KUT_2019-10-31_final
2019-11-07 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-11-07_final
2019-11-07 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2019-11-07_final
2019-11-07 11:34:20	ga_s2am_ard_3-2-1_51KUP_2019-11-07_final
2019-11-10 11:43:07	ga_s2am_ard_3-2-1_51KVU_2019-11-10_final
2019-11-10 11:43:08	ga_s2am_ard_3-2-1_51KUU_2019-11-10_final
2019-11-17 11:34:19	ga_s2am_ard_3-2-1_51KUP_2019-11-17_final
2019-11-20 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-11-20_final
2019-11-27 11:34:14	ga_s2am_ard_3-2-1_51KVP_2019-11-27_final
2019-12-17 11:33:25	ga_s2am_ard_3-2-1_51KVS_2019-12-17_final
2019-12-17 11:33:36	ga_s2am_ard_3-2-1_51KWR_2019-12-17_final
2019-12-20 11:42:21	ga_s2am_ard_3-2-1_51KVA_2019-12-20_final
2019-12-27 11:37:12	ga_s2am_ard_3-2-1_50HQG_2019-12-27_final.stac-item
2019-12-30 11:43:13	ga_s2am_ard_3-2-1_51KTT_2019-12-30_final
2020-01-26 11:33:23	ga_s2am_ard_3-2-1_51KVS_2020-01-26_final
2020-01-29 11:42:53	ga_s2am_ard_3-2-1_51KUU_2020-01-29_final
2020-03-13 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2020-03-13_final
2020-07-17 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-07-17_final
2020-11-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2020-11-11_final
2020-11-11 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-11-11_final
2020-11-21 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2020-11-21_final
2020-11-28 11:23:43	ga_s2am_ard_3-2-1_51KXR_2020-11-28_final
2021-01-06 11:54:09	ga_s2am_ard_3-2-1_50KNV_2021-01-06_final
2021-02-09 11:33:00	ga_s2am_ard_3-2-1_51KVU_2021-02-09_final
2021-03-15 11:16:54	ga_s2am_ard_3-2-1_51HXC_2021-03-15_final.stac-item
2021-08-07 12:04:24	ga_s2am_ard_3-2-1_50KMU_2021-08-07_final
2021-08-08 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-08-08_final
2021-08-24 11:53:01	ga_s2am_ard_3-2-1_50KRD_2021-08-24_final
2021-11-06 11:33:05	ga_s2am_ard_3-2-1_51KVU_2021-11-06_final
2021-11-29 11:44:13	ga_s2am_ard_3-2-1_51KUP_2021-11-29_final
2021-12-03 11:23:27	ga_s2am_ard_3-2-1_51KXS_2021-12-03_final
2021-12-06 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2021-12-06_final
2021-12-16 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-12-16_final
2021-12-26 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-12-26_final
2021-12-26 11:36:44	ga_s2am_ard_3-2-1_51HUD_2021-12-26_final
2021-12-29 11:43:21	ga_s2am_ard_3-2-1_51KVS_2021-12-29_final
2022-01-11 11:52:35	ga_s2am_ard_3-2-1_50KQF_2022-01-11_final.stac-item
2022-02-04 11:33:16	ga_s2am_ard_3-2-1_51KVT_2022-02-04_final
2022-02-04 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2022-02-04_final
2022-02-14 11:35:41	ga_s2am_ard_3-2-1_51JVH_2022-02-14_final
2022-02-27 11:43:14	ga_s2am_ard_3-2-1_51KVT_2022-02-27_final
2022-09-28 11:56:29	ga_s2am_ard_3-2-1_50JML_2022-09-28_final.stac-item
2022-11-04 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-11-04_final.stac-item
2022-11-18 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-11-18_final.stac-item
2023-01-03 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-01-03_final.stac-item
2023-09-03 11:55:26	ga_s2am_ard_3-2-1_50JNQ_2023-09-03_final.stac-item
2023-10-13 11:52:57	ga_s2am_ard_3-2-1_50KRD_2023-10-13_final.stac-item
2023-11-06 11:33:15	ga_s2am_ard_3-2-1_51KVT_2023-11-06_final.stac-item
2023-11-06 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-11-06_final.stac-item
2023-11-09 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-11-09_final.stac-item
2023-11-10 11:17:05	ga_s2am_ard_3-2-1_51HWB_2023-11-10_final.stac-item
2023-11-13 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2023-11-13_final.stac-item
2023-11-19 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-11-19_final.stac-item
2023-11-29 11:42:52	ga_s2am_ard_3-2-1_51KUU_2023-11-29_final.stac-item
2023-11-29 11:44:05	ga_s2am_ard_3-2-1_51KUP_2023-11-29_final.stac-item
2023-12-26 11:34:34	ga_s2am_ard_3-2-1_50JRT_2023-12-26_final.stac-item
2024-01-15 11:32:54	ga_s2am_ard_3-2-1_51KVU_2024-01-15_final.stac-item
2024-01-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2024-01-15_final.stac-item
2024-01-18 11:43:06	ga_s2am_ard_3-2-1_51KUT_2024-01-18_final.stac-item
2024-01-22 11:24:58	ga_s2am_ard_3-2-1_51JYK_2024-01-22_final.stac-item
2024-01-25 11:37:11	ga_s2am_ard_3-2-1_50HQG_2024-01-25_final.stac-item
2024-02-04 11:34:13	ga_s2am_ard_3-2-1_51KUP_2024-02-04_final.stac-item
2024-02-18 11:16:57	ga_s2am_ard_3-2-1_51HWC_2024-02-18_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