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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HLG_2017-07-11_final.stac-item
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMG_2017-07-11_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKT_2017-09-12_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPG_2017-11-15_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPG_2017-12-02_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLG_2017-12-25_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNH_2018-02-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMQ_2018-03-28_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JML_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLQ_2018-04-07_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HQK_2018-04-24_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKN_2018-04-27_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNG_2018-06-23_final.stac-item
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-08-28_final
2018-11-30 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2018-11-30_final.stac-item
2018-12-19 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2018-12-19_final
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final
2018-12-29 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-12-29_final
2019-01-09 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-01-09_final
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final
2019-03-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-03-23_final
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final
2019-04-09 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2019-04-09_final.stac-item
2019-04-15 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2019-04-15_final.stac-item
2019-04-22 11:55:53	ga_s2bm_ard_3-2-1_50JKP_2019-04-22_final
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-15_final
2019-05-19 11:46:17	ga_s2bm_ard_3-2-1_50JNM_2019-05-19_final
2019-05-22 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final
2019-05-29 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2019-05-29_final
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final
2019-06-08 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-08_final.stac-item
2019-06-11 11:55:44	ga_s2bm_ard_3-2-1_50JMP_2019-06-11_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final
2019-11-25 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2019-11-25_final.stac-item
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final
2019-12-15 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-15_final.stac-item
2019-12-31 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-31_final
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final
2020-02-06 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-02-06_final
2020-02-09 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-02-09_final
2020-07-05 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-07-05_final
2020-10-20 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-10-20_final
2020-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-20_final
2020-10-23 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-10-23_final
2021-03-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-03-16_final
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final
2021-04-21 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-04-21_final
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final.stac-item
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final
2021-06-17 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-17_final
2021-06-30 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2021-06-30_final
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final
2021-07-03 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-07-03_final
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final
2021-07-03 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-07-03_final
2021-07-04 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-04_final
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final
2021-07-10 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2021-07-10_final
2021-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-27_final
2021-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-08-06_final.stac-item
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final
2021-08-22 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-08-22_final
2021-09-28 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-09-28_final.stac-item
2021-11-11 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-11-11_final.stac-item
2021-12-07 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-07_final
2021-12-07 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2021-12-07_final
2022-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-04-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-04-10_final
2022-06-19 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2022-06-19_final.stac-item
2022-07-29 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-29_final.stac-item
2022-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-09-16_final.stac-item
2022-10-10 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-10-10_final.stac-item
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-10-26_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2022-12-15 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-12-15_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-11-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-17_final.stac-item
2024-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2024-01-06_final.stac-item
2024-01-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2024-01-13_final.stac-item
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_final.stac-item
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final.stac-item
2024-02-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2024-02-19_final.stac-item
2024-02-22 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-22_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