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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HNG_2017-07-25_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2017-09-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPQ_2017-12-05_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HQJ_2017-12-25_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-20_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-09_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLN_2018-02-16_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPK_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLP_2018-04-07_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-05-20_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMK_2018-08-05_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-22_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JPR_2018-09-11_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JQN_2018-09-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLP_2018-10-14_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLP_2018-10-24_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-10-27_final
2018-11-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2018-11-10_final
2018-11-17 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2018-11-17_final
2019-01-22 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-01-22_final
2019-02-01 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-01_final
2019-02-04 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-02-04_final
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final
2019-07-08 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-07-08_final
2019-08-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2019-08-20_final
2019-08-30 11:55:10	ga_s2bm_ard_3-2-1_50JNR_2019-08-30_final
2019-09-25 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-09-25_final
2019-12-02 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2019-12-02_final.stac-item
2019-12-04 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2019-12-04_final
2020-01-04 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-01-04_final
2020-01-14 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2020-01-14_final
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final
2020-01-31 11:36:44	ga_s2bm_ard_3-2-1_50HPJ_2020-01-31_final
2020-02-09 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2020-02-09_final
2020-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-03-10_final
2020-07-02 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-07-02_final
2020-07-02 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-07-02_final
2020-07-09 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-07-09_final
2020-08-01 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-01_final
2020-08-14 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-08-14_final
2020-09-26 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-09-26_final
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final
2020-10-30 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-10-30_final
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final
2021-01-24 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-01-24_final
2021-02-07 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2021-02-07_final
2021-02-24 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2021-02-24_final
2021-04-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-04-14_final
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final
2021-06-03 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2021-06-03_final
2021-06-17 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final
2021-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-06-27_final
2021-07-24 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2021-07-24_final
2021-07-27 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-07-27_final
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-08-29 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2021-08-29_final
2021-09-04 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2021-09-04_final
2021-10-31 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-31_final
2021-11-04 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-11-04_final
2021-11-07 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-11-07_final
2021-11-17 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-11-17_final
2021-12-10 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2021-12-10_final
2022-02-01 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-01_final
2022-02-05 11:55:45	ga_s2bm_ard_3-2-1_50JLN_2022-02-05_final
2022-02-05 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-02-05_final
2022-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-03-13_final
2022-03-27 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-03-27_final
2022-03-30 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-03-30_final
2022-05-02 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-05-02_final
2022-05-03 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2022-05-03_final
2022-05-03 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-03_final
2022-05-13 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-05-13_final
2022-06-12 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2022-06-12_final
2022-07-12 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-07-12_final
2022-08-04 11:56:09	ga_s2bm_ard_3-2-1_50JNM_2022-08-04_final
2022-08-21 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2022-08-21_final
2022-09-09 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-09_final.stac-item
2022-09-13 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2022-09-13_final.stac-item
2022-09-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2022-09-26_final.stac-item
2022-10-16 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-16_final.stac-item
2022-11-09 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2022-11-09_final.stac-item
2022-11-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-11-22_final.stac-item
2023-02-07 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-02-07_final.stac-item
2023-02-07 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-02-07_final.stac-item
2023-03-06 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-03-06_final.stac-item
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final.stac-item
2023-03-29 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2023-03-29_final.stac-item
2023-05-11 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-05-11_final.stac-item
2023-05-14 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-05-14_final.stac-item
2023-05-28 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-28_final.stac-item
2023-07-13 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-07-13_final.stac-item
2023-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2023-07-24_final.stac-item
2023-12-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-12-01_final.stac-item
2023-12-20 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-20_final.stac-item
2024-01-09 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2024-01-09_final.stac-item
2024-04-12 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2024-04-12_final.stac-item
2024-05-02 11:46:30	ga_s2bm_ard_3-2-1_50HQK_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