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
2017-07-15 11:36:04	ga_s2bm_ard_3-2-1_50JPL_2017-07-15_final
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KGR_2017-08-16_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HQK_2017-09-03_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLQ_2017-09-22_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HNK_2017-10-19_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-11-21_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPH_2018-01-14_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JPP_2018-02-03_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKQ_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JPL_2018-04-21_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPJ_2018-05-04_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLK_2018-05-07_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGN_2018-05-13_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JLP_2018-05-30_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JMN_2018-09-14_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JPP_2018-09-14_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-10-07_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2018-12-10 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2018-12-10_final
2018-12-30 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2018-12-30_final
2019-01-02 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2019-01-02_final
2019-01-06 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2019-01-06_final.stac-item
2019-01-19 11:46:26	ga_s2bm_ard_3-2-1_50JML_2019-01-19_final
2019-02-01 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-02-01_final
2019-03-09 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2019-03-09_final
2019-03-20 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-03-20_final
2019-05-28 12:14:22	ga_s2bm_ard_3-2-1_49KGQ_2019-05-28_final
2019-06-17 12:14:05	ga_s2bm_ard_3-2-1_49KGR_2019-06-17_final
2019-06-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-06-28_final
2019-07-08 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-07-08_final
2019-07-08 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-07-08_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-14_final.stac-item
2019-08-03 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-08-03_final
2019-08-24 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2019-08-24_final
2019-09-06 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2019-09-06_final
2019-09-26 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-09-26_final
2019-11-11 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-11-11_final
2019-11-18 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2019-11-18_final
2019-11-25 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2019-11-25_final
2019-12-08 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2019-12-08_final
2019-12-11 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-11_final
2019-12-18 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2019-12-18_final
2020-01-27 11:57:13	ga_s2bm_ard_3-2-1_50HMG_2020-01-27_final.stac-item
2020-03-20 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2020-03-20_final
2020-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-06-25 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-06-25_final
2020-07-01 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-01_final
2020-08-08 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-08-08_final
2020-10-10 11:46:30	ga_s2bm_ard_3-2-1_50JML_2020-10-10_final
2020-10-16 12:04:50	ga_s2bm_ard_3-2-1_50JLT_2020-10-16_final
2020-12-12 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2020-12-12_final
2020-12-12 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-12-12_final
2020-12-18 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-18_final
2020-12-19 11:46:15	ga_s2bm_ard_3-2-1_50JPL_2020-12-19_final
2021-01-08 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-01-08_final
2021-03-09 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-09_final
2021-03-25 12:04:10	ga_s2bm_ard_3-2-1_49KGQ_2021-03-25_final
2021-04-01 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-04-01_final
2021-04-21 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2021-04-21_final
2021-05-08 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-05-08_final
2021-06-03 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-03_final
2021-07-27 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2021-07-27_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHP_2021-09-01_final
2021-09-14 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-14_final
2021-09-14 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-09-14_final
2021-09-28 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-09-28_final
2021-11-07 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2021-11-07_final
2022-01-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-01-13_final
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final
2022-03-11 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-03-11_final
2022-04-29 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-04-29_final
2022-05-13 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-05-13_final
2022-05-23 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2022-05-23_final
2022-07-02 11:46:31	ga_s2bm_ard_3-2-1_50JML_2022-07-02_final
2022-07-05 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2022-07-05_final
2022-07-18 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-07-18_final
2022-07-25 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-07-25_final
2022-09-06 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2022-09-06_final.stac-item
2022-10-27 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-10-27_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-11-25_final.stac-item
2022-11-26 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2022-11-26_final.stac-item
2022-12-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-12-19_final.stac-item
2023-01-11 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2023-01-11_final.stac-item
2023-01-28 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-01-28_final.stac-item
2023-01-31 11:56:11	ga_s2bm_ard_3-2-1_50JNL_2023-01-31_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2023-04-24_final.stac-item
2023-05-24 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-05-24_final.stac-item
2023-06-27 11:45:16	ga_s2bm_ard_3-2-1_50JNR_2023-06-27_final.stac-item
2023-08-22 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final.stac-item
2023-08-22 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-08-22_final.stac-item
2023-10-11 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-10-11_final.stac-item
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_final.stac-item
2023-12-20 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-20_final.stac-item
2024-02-11 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-02-11_final.stac-item
2024-03-06 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2024-03-06_final.stac-item
2024-03-19 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-03-19_final.stac-item
2024-03-29 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2024-03-29_final.stac-item
2024-04-05 11:56:20	ga_s2bm_ard_3-2-1_50JML_2024-04-05_final.stac-item
2024-04-22 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-04-22_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