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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVS_2017-11-05_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVU_2017-11-05_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUR_2017-11-25_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KXR_2017-12-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWN_2017-12-12_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMH_2017-12-18_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HYD_2018-04-25_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-04_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVU_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVS_2018-10-31_final
2018-11-30 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2018-11-30_final
2018-12-20 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2018-12-20_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final
2019-01-13 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2019-01-13_final
2019-01-26 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-01-26_final
2019-01-26 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-01-26_final
2019-01-28 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-01-28_final
2019-05-29 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2019-05-29_final
2019-06-25 11:33:30	ga_s2bm_ard_3-2-1_51KUT_2019-06-25_final
2019-10-23 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-23_final
2019-11-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-11-05_final
2019-11-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-11-05_final
2019-11-15 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-11-15_final
2019-11-25 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2019-11-25_final
2019-12-12 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-12_final
2019-12-22 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2019-12-22_final
2019-12-25 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2019-12-25_final
2020-01-24 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-01-24_final
2020-01-24 11:44:06	ga_s2bm_ard_3-2-1_51KUP_2020-01-24_final
2020-02-10 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-02-10_final
2020-03-11 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2020-03-11_final
2020-03-11 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-03-11 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-03-11_final
2020-03-14 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2020-03-14_final
2020-03-14 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2020-03-14_final
2020-07-19 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2020-07-19_final
2020-07-29 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-07-29_final
2020-09-07 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-09-07_final
2020-09-20 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-09-20_final
2020-10-07 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2020-10-07_final
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final
2020-10-20 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-20_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-19 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2020-11-19_final
2020-11-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2020-11-29_final
2020-11-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2020-11-29_final
2020-12-16 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-12-16_final
2020-12-16 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2020-12-16_final
2020-12-29 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-12-29_final
2021-01-12 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-01-12_final
2021-01-25 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-01-25_final
2021-01-28 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2021-01-28_final
2021-02-17 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2021-02-17_final
2021-02-17 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-02-17_final
2021-02-17 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2021-02-17_final
2021-02-24 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-02-24_final
2021-04-25 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-04-25_final.stac-item
2021-10-05 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2021-10-05_final
2021-10-22 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-10-22_final
2021-11-11 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-11-11_final
2021-11-11 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-11-11_final
2021-11-21 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2021-11-21_final
2021-12-04 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2021-12-04_final
2021-12-07 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-07_final
2021-12-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-12-28_final
2021-12-31 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2021-12-31_final
2022-01-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-01-20_final
2022-01-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2022-01-20_final
2022-01-23 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-01-23_final
2022-02-12 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-12_final
2022-03-21 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2022-03-21_final
2022-07-19 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-07-19_final
2022-08-01 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2022-08-01_final
2022-10-27 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-10-27_final.stac-item
2022-12-09 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2022-12-09_final.stac-item
2022-12-09 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-12-09_final.stac-item
2022-12-16 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2022-12-16_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2023-01-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-05_final.stac-item
2023-02-04 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-02-04_final.stac-item
2023-02-07 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-07_final.stac-item
2023-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2023-02-14_final.stac-item
2023-02-24 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-02-24_final.stac-item
2023-03-09 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2023-03-09_final.stac-item
2023-03-09 11:44:20	ga_s2bm_ard_3-2-1_51KTP_2023-03-09_final.stac-item
2023-03-26 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2023-03-26_final.stac-item
2023-03-26 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-26_final.stac-item
2023-04-25 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-04-25_final.stac-item
2023-05-08 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-05-08_final.stac-item
2023-06-26 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-26_final.stac-item
2023-07-07 11:43:20	ga_s2bm_ard_3-2-1_51KUT_2023-07-07_final.stac-item
2023-07-14 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2023-07-14_final.stac-item
2023-07-24 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2023-07-24_final.stac-item
2023-12-14 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2023-12-14_final.stac-item
2023-12-14 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2023-12-14_final.stac-item
2023-12-28 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-12-28_final.stac-item
2024-01-10 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2024-01-10_final.stac-item
2024-01-30 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2024-01-30_final.stac-item
2024-02-16 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2024-02-16_final.stac-item
2024-02-29 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2024-02-29_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