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
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KWQ_2017-11-09_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVU_2017-11-12_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51JUN_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUP_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUS_2017-11-15_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KWQ_2017-11-19_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUT_2017-11-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUQ_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KWB_2017-11-25_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYK_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JZN_2017-11-29_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWR_2018-01-01_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVT_2018-01-24_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUQ_2018-03-05_final
2018-11-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-07_final
2018-11-09 12:14:16	ga_s2bm_ard_3-2-1_50KKU_2018-11-09_final
2018-11-14 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2018-11-14_final
2018-11-17 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-11-17_final
2018-11-17 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2018-11-17_final
2018-11-17 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-11-17_final
2018-11-20 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2018-11-20_final
2018-11-24 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2018-11-24_final
2018-12-07 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2018-12-07_final
2019-01-02 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2019-01-02_final
2019-01-02 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-01-02_final
2019-10-23 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-23_final
2019-10-26 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-26_final
2019-11-09 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-11-09_final
2019-11-22 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2019-11-22_final
2019-12-02 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-02_final
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final
2019-12-02 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-02_final
2019-12-02 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2019-12-02_final
2019-12-09 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-09_final
2019-12-15 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-15_final
2019-12-25 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2019-12-25_final
2019-12-25 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2019-12-25_final
2020-01-01 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-01-01_final
2020-01-01 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2020-01-01_final
2020-02-13 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2020-02-13_final
2020-09-30 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-09-30_final.stac-item
2020-10-17 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-17_final
2020-10-27 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-10-27_final
2020-10-27 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2020-10-27_final
2020-11-09 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2020-11-09_final
2020-11-10 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2020-11-10_final
2020-11-13 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2020-11-13_final
2020-11-13 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-11-13_final
2020-11-16 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2020-11-16_final
2020-11-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2020-11-29_final
2020-12-16 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-12-16_final
2020-12-19 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2020-12-19_final
2020-12-19 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2020-12-19_final
2020-12-29 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-12-29_final
2021-02-07 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-02-07_final
2021-02-07 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-02-07_final
2021-02-24 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-24_final
2021-03-09 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2021-03-09_final
2021-11-04 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2021-11-04_final
2021-11-11 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-11-11_final
2021-11-21 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-11-21_final
2021-11-28 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2021-11-28_final
2021-12-01 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2021-12-01_final
2021-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2021-12-01_final
2021-12-01 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2021-12-01_final
2021-12-11 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2021-12-11_final
2021-12-11 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2021-12-11_final
2021-12-18 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2021-12-18_final
2021-12-21 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2021-12-21_final
2021-12-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-24_final
2021-12-31 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2021-12-31_final
2022-01-03 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-03_final
2022-01-04 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-01-04_final
2022-01-20 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2022-01-20_final
2022-02-06 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2022-02-06_final
2022-03-21 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-03-21_final
2022-03-27 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2022-03-27_final
2022-10-27 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-10-27_final.stac-item
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-11-26 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2022-11-26_final.stac-item
2022-11-26 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-11-26_final.stac-item
2022-12-06 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2022-12-06_final.stac-item
2022-12-06 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-12-06_final.stac-item
2022-12-06 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-12-06_final.stac-item
2022-12-06 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2022-12-06_final.stac-item
2022-12-16 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2022-12-16_final.stac-item
2022-12-16 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-12-16_final.stac-item
2022-12-26 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-12-26_final.stac-item
2022-12-26 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2022-12-26_final.stac-item
2023-01-05 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2023-01-05_final.stac-item
2023-01-15 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2023-01-15_final.stac-item
2023-01-18 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2023-01-18_final.stac-item
2023-02-01 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2023-02-01_final.stac-item
2023-02-01 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2023-02-01_final.stac-item
2023-02-24 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-02-24_final.stac-item
2023-02-24 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2023-02-24_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-04 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final.stac-item
2023-12-11 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-12-11_final.stac-item
2023-12-21 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-12-21_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