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
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2017-09-23_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KBG_2017-11-19_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LUE_2017-12-05_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXQ_2017-12-19_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KDA_2018-01-05_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUT_2018-01-24_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JXJ_2018-02-04_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JML_2018-02-23_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KEB_2018-04-02_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMH_2018-04-24_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBB_2018-05-18_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXU_2018-05-28_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWQ_2018-06-30_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-22_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KYU_2018-11-04_final
2018-11-24 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-11-24_final
2018-12-07 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-07_final
2018-12-21 11:13:10	ga_s2bm_ard_3-2-1_52KEB_2018-12-21_final
2018-12-27 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2018-12-27_final
2019-01-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-01-06_final
2019-01-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-01-09_final
2019-01-23 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2019-01-23_final
2019-02-22 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2019-02-22_final
2019-03-27 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-03-27_final
2019-04-19 11:42:27	ga_s2bm_ard_3-2-1_51KVB_2019-04-19_final
2019-04-23 11:23:27	ga_s2bm_ard_3-2-1_52KBB_2019-04-23_final
2019-05-10 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-05-10_final
2019-05-20 11:13:42	ga_s2bm_ard_3-2-1_52KDA_2019-05-20_final
2019-07-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-07-05_final
2019-07-26 11:03:43	ga_s2bm_ard_3-2-1_52KEA_2019-07-26_final
2019-08-27 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2019-08-27_final.stac-item
2019-10-03 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final
2019-10-16 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2019-10-16_final
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2019-11-12 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-11-12_final
2019-12-29 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-12-29_final
2019-12-29 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2019-12-29_final
2020-01-11 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2020-01-11_final
2020-03-11 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-03-11_final
2020-03-14 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-03-14_final
2020-05-13 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-05-13_final
2020-05-27 11:21:49	ga_s2bm_ard_3-2-1_52LDH_2020-05-27_final
2020-08-08 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2020-08-08_final
2020-08-31 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-31_final
2020-10-08 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2020-10-08_final
2020-10-18 11:03:38	ga_s2bm_ard_3-2-1_52KEA_2020-10-18_final
2020-11-16 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2020-11-16_final
2020-11-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2020-11-29_final
2020-12-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2020-12-06_final
2020-12-06 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2020-12-06_final
2020-12-30 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2020-12-30_final
2021-01-02 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-01-02_final
2021-01-08 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2021-01-08_final
2021-01-25 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-01-25_final
2021-01-29 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-01-29_final
2021-02-04 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-02-04_final
2021-02-18 11:11:49	ga_s2bm_ard_3-2-1_52LDH_2021-02-18_final
2021-02-27 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-02-27_final
2021-03-13 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2021-03-13_final
2021-05-12 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-05-12_final
2021-06-01 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-06-01_final
2021-07-11 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2021-07-11_final
2021-08-23 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-08-23_final
2021-08-26 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-08-26_final
2021-10-29 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2021-10-29_final
2021-11-21 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-11-21_final
2022-01-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-01-06_final
2022-01-07 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2022-01-07_final
2022-01-27 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2022-01-27_final
2022-01-27 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2022-01-27_final
2022-02-13 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2022-02-13_final
2022-02-26 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2022-02-26_final
2022-03-28 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-03-28_final
2022-06-03 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2022-06-03_final
2022-06-04 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2022-06-04_final
2022-07-22 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2022-07-22_final
2022-08-15 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2022-08-15_final
2022-08-25 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2022-08-25_final
2022-09-04 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2022-09-04_final.stac-item
2022-09-25 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2022-09-25_final.stac-item
2022-11-16 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2022-11-16_final.stac-item
2022-12-16 11:32:50	ga_s2bm_ard_3-2-1_51KWV_2022-12-16_final.stac-item
2023-01-12 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2023-01-12_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-04-07_final.stac-item
2023-04-28 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2023-04-28_final.stac-item
2023-05-18 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-05-18_final.stac-item
2023-05-19 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-05-19_final.stac-item
2023-07-07 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-07-07_final.stac-item
2023-07-11 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-07-11_final.stac-item
2023-07-24 11:34:06	ga_s2bm_ard_3-2-1_51KVQ_2023-07-24_final.stac-item
2023-07-28 11:14:15	ga_s2bm_ard_3-2-1_52KBU_2023-07-28_final.stac-item
2023-09-22 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-22_final.stac-item
2023-11-10 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-11-10_final.stac-item
2023-12-04 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-12-04_final.stac-item
2023-12-15 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2023-12-15_final.stac-item
2023-12-18 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2023-12-18_final.stac-item
2023-12-21 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-12-21_final.stac-item
2024-01-10 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-01-10_final.stac-item
2024-03-23 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-03-23_final.stac-item
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-02_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