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
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52LDJ_2017-11-19_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVR_2017-11-22_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVU_2017-11-22_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPF_2017-11-28_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZP_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZT_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KBB_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KBU_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KCB_2017-12-09_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KEA_2017-12-16_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HQK_2018-08-22_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVU_2018-10-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVR_2018-10-28_final
2018-11-17 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2018-11-17_final
2018-11-24 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2018-11-24_final
2018-12-04 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2018-12-04_final
2018-12-07 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-07_final
2018-12-11 11:14:01	ga_s2bm_ard_3-2-1_52JET_2018-12-11_final
2018-12-14 11:23:14	ga_s2bm_ard_3-2-1_52KBB_2018-12-14_final
2018-12-14 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2018-12-14_final
2018-12-17 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2018-12-17_final
2018-12-17 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2018-12-17_final
2018-12-17 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-17_final
2018-12-30 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2018-12-30_final
2019-01-06 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2019-01-06_final
2019-01-06 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2019-01-06_final
2019-01-06 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2019-01-06_final.stac-item
2019-01-09 11:44:04	ga_s2bm_ard_3-2-1_51KUQ_2019-01-09_final
2019-01-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2019-01-23_final
2019-01-26 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-01-26_final
2019-01-27 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2019-01-27_final
2019-02-15 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-02-15_final
2019-03-03 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2019-03-03_final
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final
2019-07-12 11:24:41	ga_s2bm_ard_3-2-1_52JBS_2019-07-12_final
2019-07-21 11:53:12	ga_s2bm_ard_3-2-1_50KQD_2019-07-21_final.stac-item
2019-10-29 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2019-10-29_final
2019-11-09 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-11-09_final
2019-11-12 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-11-12_final
2019-11-12 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-11-12_final
2019-11-12 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-11-12_final
2019-12-15 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2019-12-15_final
2019-12-25 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2019-12-25_final.stac-item
2020-01-15 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2020-01-15_final
2020-01-15 11:14:40	ga_s2bm_ard_3-2-1_52JDR_2020-01-15_final
2020-01-31 11:33:31	ga_s2bm_ard_3-2-1_51KXR_2020-01-31_final
2020-02-26 11:52:56	ga_s2bm_ard_3-2-1_50KRD_2020-02-26_final
2020-03-07 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-07_final.stac-item
2020-06-18 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-06-18_final
2020-08-21 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-08-21_final.stac-item
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-10-11 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2020-10-11_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-16_final
2020-10-30 11:44:16	ga_s2bm_ard_3-2-1_51KUP_2020-10-30_final
2020-10-31 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-10-31_final.stac-item
2020-11-03 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-11-03_final
2020-11-03 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-11-03_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-11-09_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_51KTP_2020-11-09_final
2020-11-10 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2020-11-10_final
2020-12-19 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2020-12-19_final
2020-12-19 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2020-12-19_final
2020-12-26 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-12-26_final
2021-01-09 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2021-01-09_final
2021-01-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-15_final
2021-02-04 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2021-02-04_final
2021-02-04 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-02-04_final
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final
2021-02-10 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-02-10_final
2021-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-02-14_final
2021-06-14 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-06-14_final
2021-10-02 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-10-02_final
2021-10-15 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-10-15_final
2021-11-18 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-11-18_final
2021-12-04 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2021-12-04_final
2021-12-04 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2021-12-04_final
2021-12-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2021-12-11_final
2021-12-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2021-12-11_final
2021-12-18 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2021-12-18_final
2021-12-21 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-21_final
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final
2022-01-13 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-13_final
2022-02-11 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2022-02-11_final
2022-03-12 11:06:16	ga_s2bm_ard_3-2-1_52HDK_2022-03-12_final.stac-item
2022-03-24 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2022-03-24_final.stac-item
2022-05-26 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-05-26_final
2022-05-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-05-29_final
2022-08-12 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2022-08-12_final
2022-11-23 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2022-11-23_final.stac-item
2022-12-06 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-12-06_final.stac-item
2022-12-16 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2022-12-16_final.stac-item
2022-12-19 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-19_final.stac-item
2022-12-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-12-26_final.stac-item
2023-01-15 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-01-15_final.stac-item
2023-01-19 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2023-01-19_final.stac-item
2023-03-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_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
2023-04-25 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-04-25_final.stac-item
2023-11-11 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-11-11_final.stac-item
2023-11-21 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-11-21_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