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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHS_2017-08-26_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVR_2017-08-27_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUP_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUS_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUT_2017-11-25_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYS_2017-11-29_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KYU_2017-12-12_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQA_2017-12-18_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KYU_2017-12-19_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVR_2018-01-21_final
2018-02-11 11:04:58	ga_s2bm_ard_3-2-1_52HCK_2018-02-11_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPG_2018-02-13_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVR_2018-03-05_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51HWC_2018-03-16_final.stac-item
2018-03-27 10:45:51	ga_s2bm_ard_3-2-1_52HGK_2018-03-27_final.stac-item
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HWC_2018-04-25_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQG_2018-05-31_final.stac-item
2018-11-07 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2018-11-07_final
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final
2018-11-17 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-17_final
2018-11-17 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2018-11-17_final
2018-11-17 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-17_final
2018-11-17 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-17_final
2018-11-20 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2018-11-20_final
2018-11-24 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2018-11-24_final
2018-11-24 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2018-11-24_final
2018-11-24 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2018-11-24_final
2018-11-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-11-27_final
2018-12-07 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-07_final
2018-12-07 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2018-12-07_final
2018-12-11 11:14:58	ga_s2bm_ard_3-2-1_52JCQ_2018-12-11_final
2018-12-11 11:15:06	ga_s2bm_ard_3-2-1_52JDP_2018-12-11_final
2018-12-11 11:15:12	ga_s2bm_ard_3-2-1_52JCP_2018-12-11_final
2018-12-11 11:15:15	ga_s2bm_ard_3-2-1_52JBP_2018-12-11_final
2018-12-14 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2018-12-14_final
2018-12-21 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2018-12-21_final
2018-12-21 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2018-12-21_final
2018-12-24 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2018-12-24_final
2019-01-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-01-03_final
2019-01-03 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2019-01-03_final
2019-01-16 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-01-16_final
2019-01-26 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-01-26_final
2019-01-29 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-01-29_final
2019-05-19 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-05-19_final
2019-05-22 11:57:32	ga_s2bm_ard_3-2-1_50HLG_2019-05-22_final.stac-item
2019-11-12 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-11-12_final
2019-11-15 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2019-11-15_final.stac-item
2019-12-22 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2019-12-22_final
2020-01-01 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-01-01_final
2020-10-27 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-10-27_final
2020-10-27 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2020-10-27_final
2020-10-30 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-10-30_final
2020-10-30 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2020-10-30_final.stac-item
2020-11-06 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-11-06_final
2020-11-19 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-11-19_final
2020-11-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2020-11-26_final
2020-12-06 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-12-06_final
2020-12-06 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2020-12-06_final
2020-12-16 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2020-12-16_final
2020-12-19 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2020-12-19_final
2021-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-01-05_final
2021-01-08 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-01-08_final
2021-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-01-18_final
2021-01-25 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-25_final
2021-03-06 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-03-06_final
2021-03-26 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2021-03-26_final
2021-05-08 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2021-05-08_final
2021-06-27 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-27_final.stac-item
2021-07-14 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2021-07-14_final
2021-08-03 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2021-08-03_final
2021-08-23 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-08-23_final
2021-09-25 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-09-25_final.stac-item
2021-09-26 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2021-09-26_final
2021-10-15 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2021-10-15_final
2021-11-14 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-11-14_final
2021-11-24 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2021-11-24_final
2021-12-07 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2021-12-07_final
2021-12-18 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2021-12-18_final
2021-12-24 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-12-24_final
2021-12-31 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2021-12-31_final
2022-01-03 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2022-01-03_final
2022-01-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-01-07_final
2022-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-01-30_final
2022-02-22 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final
2022-12-06 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-12-06_final.stac-item
2022-12-19 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-12-19_final.stac-item
2022-12-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-12-26_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2023-01-05 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2023-01-05_final.stac-item
2023-01-11 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2023-01-11_final.stac-item
2023-03-09 11:43:37	ga_s2bm_ard_3-2-1_50KRB_2023-03-09_final.stac-item
2023-03-09 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2023-03-09_final.stac-item
2023-03-09 11:44:06	ga_s2bm_ard_3-2-1_50KRV_2023-03-09_final.stac-item
2023-03-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2023-03-09_final.stac-item
2023-07-17 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-07-17_final.stac-item
2023-11-11 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-11-11_final.stac-item
2023-12-27 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-27_final.stac-item
2023-12-31 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2023-12-31_final.stac-item
2024-03-10 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2024-03-10_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