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 12:05:24	ga_s2am_ard_3-2-1_50JLT_2016-01-06_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KUT_2016-07-28_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KTU_2017-05-24_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KWQ_2017-06-07_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTM_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUK_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUM_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVG_2017-09-28_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_51HVE_2017-10-08_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_51JVF_2017-10-08_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HXE_2017-12-04_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51HWC_2017-12-24_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVR_2018-02-25_final
2018-03-18 11:05:41	ga_s2am_ard_3-2-1_52HDK_2018-03-18_final.stac-item
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51LWG_2018-03-30_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNM_2018-04-22_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KYT_2018-04-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_51KWU_2018-07-15_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KVS_2018-07-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KXV_2018-08-04_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KXS_2018-08-14_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KUT_2018-08-24_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVS_2018-08-24_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51LWG_2018-11-05_final.stac-item
2018-11-12 11:33:11	ga_s2am_ard_3-2-1_51KVT_2018-11-12_final
2018-11-16 11:16:53	ga_s2am_ard_3-2-1_51HWC_2018-11-16_final.stac-item
2018-12-22 11:33:19	ga_s2am_ard_3-2-1_51KWS_2018-12-22_final
2019-02-17 11:23:06	ga_s2am_ard_3-2-1_51KYT_2019-02-17_final
2019-04-18 11:23:05	ga_s2am_ard_3-2-1_52KCC_2019-04-18_final
2019-04-28 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2019-04-28_final
2019-05-01 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-05-01_final
2019-05-28 11:23:23	ga_s2am_ard_3-2-1_52KBB_2019-05-28_final
2019-06-03 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-06-03_final
2019-06-10 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2019-06-10_final
2019-06-27 11:23:11	ga_s2am_ard_3-2-1_52KBC_2019-06-27_final
2019-06-30 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2019-06-30_final
2019-07-20 11:33:47	ga_s2am_ard_3-2-1_51KWR_2019-07-20_final
2019-09-08 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2019-09-08_final
2019-09-15 11:23:09	ga_s2am_ard_3-2-1_51KYT_2019-09-15_final
2019-11-04 11:23:28	ga_s2am_ard_3-2-1_51KYS_2019-11-04_final
2020-01-12 11:53:11	ga_s2am_ard_3-2-1_50KQC_2020-01-12_final
2020-02-25 11:33:40	ga_s2am_ard_3-2-1_51KVR_2020-02-25_final
2020-04-15 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-04-15_final
2020-04-25 11:32:59	ga_s2am_ard_3-2-1_51KWU_2020-04-25_final
2020-06-01 11:24:12	ga_s2am_ard_3-2-1_52KBU_2020-06-01_final
2020-06-14 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-06-14_final
2020-06-24 11:33:04	ga_s2am_ard_3-2-1_51KVU_2020-06-24_final
2020-09-05 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-09-05_final
2020-09-09 11:23:14	ga_s2am_ard_3-2-1_51KYT_2020-09-09_final
2020-09-22 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-09-22_final
2020-10-12 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-10-12_final
2020-11-08 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-11-08_final
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2020-11-13_final.stac-item
2020-11-22 11:04:37	ga_s2am_ard_3-2-1_52JFR_2020-11-22_final
2021-01-27 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-01-27_final
2021-03-31 11:33:42	ga_s2am_ard_3-2-1_51KVR_2021-03-31_final
2021-04-17 11:22:50	ga_s2am_ard_3-2-1_51KYU_2021-04-17_final
2021-04-30 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2021-04-30_final
2021-05-20 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2021-05-20_final
2021-05-30 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-05-30_final
2021-06-09 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-06-09_final
2021-06-22 11:41:19	ga_s2am_ard_3-2-1_51LUF_2021-06-22_final
2021-07-16 11:23:46	ga_s2am_ard_3-2-1_51KXR_2021-07-16_final
2021-07-19 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-07-19_final
2021-07-19 11:34:09	ga_s2am_ard_3-2-1_51KXP_2021-07-19_final
2021-07-29 11:33:25	ga_s2am_ard_3-2-1_51KUT_2021-07-29_final
2021-09-10 11:43:29	ga_s2am_ard_3-2-1_51KUS_2021-09-10_final
2021-09-14 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-09-14_final
2021-09-24 11:23:24	ga_s2am_ard_3-2-1_52KBB_2021-09-24_final
2021-10-07 11:33:35	ga_s2am_ard_3-2-1_51KVS_2021-10-07_final
2021-12-22 11:52:21	ga_s2am_ard_3-2-1_50KQG_2021-12-22_final.stac-item
2022-01-09 11:13:35	ga_s2am_ard_3-2-1_52KDA_2022-01-09_final
2022-01-15 11:33:17	ga_s2am_ard_3-2-1_51KVT_2022-01-15_final
2022-02-04 11:33:16	ga_s2am_ard_3-2-1_51KVT_2022-02-04_final
2022-02-14 11:33:23	ga_s2am_ard_3-2-1_51KXS_2022-02-14_final
2022-03-19 11:43:15	ga_s2am_ard_3-2-1_51KVT_2022-03-19_final
2022-07-17 11:43:37	ga_s2am_ard_3-2-1_51KVS_2022-07-17_final
2022-08-03 11:33:56	ga_s2am_ard_3-2-1_51KVR_2022-08-03_final
2022-11-01 11:33:46	ga_s2am_ard_3-2-1_51KWR_2022-11-01_final.stac-item
2022-11-11 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-11_final.stac-item
2022-11-11 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-11-11_final.stac-item
2022-12-18 11:23:06	ga_s2am_ard_3-2-1_51KZT_2022-12-18_final.stac-item
2023-01-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2023-01-23_final.stac-item
2023-02-25 11:53:15	ga_s2am_ard_3-2-1_50KQC_2023-02-25_final.stac-item
2023-03-28 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2023-03-28_final.stac-item
2023-05-10 11:32:54	ga_s2am_ard_3-2-1_51KXU_2023-05-10_final.stac-item
2023-05-17 11:23:15	ga_s2am_ard_3-2-1_51KXT_2023-05-17_final.stac-item
2023-06-09 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-06-09_final.stac-item
2023-07-26 11:23:15	ga_s2am_ard_3-2-1_51KYT_2023-07-26_final.stac-item
2023-08-01 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-08-01_final.stac-item
2023-09-24 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-09-24_final.stac-item
2023-10-01 11:13:15	ga_s2am_ard_3-2-1_52KBC_2023-10-01_final.stac-item
2023-10-04 11:23:26	ga_s2am_ard_3-2-1_51KYS_2023-10-04_final.stac-item
2023-10-30 11:40:57	ga_s2am_ard_3-2-1_51LWG_2023-10-30_final.stac-item
2024-01-02 11:23:03	ga_s2am_ard_3-2-1_51KZT_2024-01-02_final.stac-item
2024-01-18 11:41:24	ga_s2am_ard_3-2-1_51LUE_2024-01-18_final.stac-item
2024-01-29 11:13:35	ga_s2am_ard_3-2-1_51KZR_2024-01-29_final.stac-item
2024-02-04 11:36:39	ga_s2am_ard_3-2-1_51HUD_2024-02-04_final.stac-item
2024-05-11 11:23:24	ga_s2am_ard_3-2-1_51KZS_2024-05-11_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