Search ga_s2bm_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
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_53LLF_2017-11-13_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWP_2017-11-22_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-11-22_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KBV_2017-12-16_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53HME_2017-12-17_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JXK_2017-12-19_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXR_2018-10-28_final
2018-11-07 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2018-11-07_final
2018-11-10 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2018-11-10_final
2018-11-14 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2018-11-14_final
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2018-11-21_final
2018-11-24 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2018-11-24_final
2018-11-28 11:01:05	ga_s2bm_ard_3-2-1_53LLE_2018-11-28_final
2018-12-04 11:22:47	ga_s2bm_ard_3-2-1_52KBD_2018-12-04_final
2018-12-07 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2018-12-07_final
2018-12-14 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2018-12-14_final
2018-12-28 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2018-12-28_final
2018-12-31 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2018-12-31_final
2019-01-03 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2019-01-03_final
2019-01-03 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2019-01-03_final
2019-01-06 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2019-01-06_final
2019-01-06 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2019-01-06_final
2019-01-23 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2019-01-23_final
2019-01-23 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-01-23_final
2019-01-28 10:36:54	ga_s2bm_ard_3-2-1_53HMB_2019-01-28_final.stac-item
2019-01-29 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-01-29_final
2019-06-24 12:03:52	ga_s2bm_ard_3-2-1_50KKB_2019-06-24_final
2019-11-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-11-05_final
2019-11-09 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-11-09_final
2019-11-12 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-11-12_final
2019-11-15 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-11-15_final
2019-11-25 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2019-11-25_final
2019-12-02 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2019-12-02_final
2019-12-09 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2019-12-09_final
2019-12-12 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2019-12-12_final
2019-12-12 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2019-12-12_final
2019-12-19 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-12-19_final
2019-12-20 10:55:35	ga_s2bm_ard_3-2-1_52JFM_2019-12-20_final
2020-01-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-11_final
2020-01-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2020-01-11_final
2020-01-14 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2020-01-14_final
2020-02-10 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-02-10_final
2020-03-04 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2020-03-04_final
2020-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-11_final
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final
2020-11-09 11:43:49	ga_s2bm_ard_3-2-1_51KTR_2020-11-09_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_51KTP_2020-11-09_final
2020-11-10 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2020-11-10_final
2020-11-10 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2020-11-10_final
2020-11-10 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2020-11-10_final
2020-11-10 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2020-11-10_final
2020-11-16 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2020-11-16_final
2020-11-19 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2020-11-19_final
2020-11-19 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2020-11-19_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2020-11-20_final
2021-01-02 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-01-02_final
2021-01-09 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2021-01-09_final
2021-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-18_final
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final
2021-02-07 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-02-07_final
2021-02-27 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-02-27_final
2021-03-26 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-26_final.stac-item
2021-05-28 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2021-05-28_final
2021-10-15 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2021-10-15_final
2021-11-11 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-11-11_final
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final
2021-11-21 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2021-11-21_final
2021-11-25 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2021-11-25_final
2021-12-01 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-01_final
2021-12-11 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2021-12-11_final
2021-12-15 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2021-12-15_final
2021-12-21 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2021-12-21_final
2021-12-21 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2021-12-21_final
2021-12-21 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2021-12-21_final
2021-12-24 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2021-12-24_final
2021-12-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-24_final
2022-01-04 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2022-01-04_final
2022-01-10 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2022-01-10_final
2022-01-20 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2022-01-20_final
2022-01-30 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-01-30_final
2022-02-03 11:15:11	ga_s2bm_ard_3-2-1_52JBP_2022-02-03_final
2022-03-01 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-03-01_final
2022-04-02 10:34:28	ga_s2bm_ard_3-2-1_53JPL_2022-04-02_final
2022-11-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-11-26_final.stac-item
2022-11-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-11-26_final.stac-item
2022-12-06 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2022-12-06_final.stac-item
2022-12-09 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-12-09_final.stac-item
2022-12-16 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2022-12-16_final.stac-item
2022-12-19 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-12-19_final.stac-item
2022-12-19 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-19_final.stac-item
2022-12-21 10:45:59	ga_s2bm_ard_3-2-1_53JMF_2022-12-21_final.stac-item
2023-01-08 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-08_final.stac-item
2023-01-12 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2023-01-12_final.stac-item
2023-01-15 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-01-15_final.stac-item
2023-01-15 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-01-15_final.stac-item
2023-02-04 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2023-02-04_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-03-09 11:43:36	ga_s2bm_ard_3-2-1_51KTS_2023-03-09_final.stac-item
2024-02-06 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2024-02-06_final.stac-item
2024-04-22 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-04-22_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years