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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNK_2017-07-18_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2017-08-13_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPR_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPT_2017-09-09_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-12-08_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLP_2018-02-19_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-03-04_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMG_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPS_2018-03-05_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLR_2018-03-28_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQL_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNP_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNR_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPT_2018-04-07_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPN_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JNL_2018-04-14_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HLG_2018-05-24_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-16_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-23_final
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-20 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2018-12-20_final.stac-item
2018-12-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-12-26_final
2019-01-22 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-01-22_final
2019-02-01 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-01_final
2019-02-08 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-08_final
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-03-20 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-03-20_final.stac-item
2019-03-26 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-03-26_final
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-04-16 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2019-04-16_final
2019-05-22 11:54:48	ga_s2bm_ard_3-2-1_50JPT_2019-05-22_final
2019-05-22 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-05-22_final
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final
2019-06-11 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-06-11_final
2019-07-17 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-17_final.stac-item
2019-07-18 11:47:26	ga_s2bm_ard_3-2-1_50HPG_2019-07-18_final.stac-item
2019-07-18 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-18_final.stac-item
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-08-03_final.stac-item
2019-08-16 12:15:06	ga_s2bm_ard_3-2-1_49JFM_2019-08-16_final
2019-11-15 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-11-15_final.stac-item
2019-11-25 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2019-11-25_final.stac-item
2019-12-28 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-28_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-03-21 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2020-03-21_final
2020-03-21 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-21_final
2020-03-21 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2020-03-21_final
2020-05-22 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-05-22_final
2020-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-12_final
2020-07-19 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-07-19_final
2020-07-19 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-07-19_final.stac-item
2020-10-20 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2020-10-20_final
2020-10-23 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2020-10-23_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-09 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2020-11-09_final
2020-12-06 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-12-06_final.stac-item
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_final
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final.stac-item
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final.stac-item
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final.stac-item
2021-04-08 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-04-08_final
2021-05-14 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-05-14_final
2021-05-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-05-21_final
2021-05-31 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-05-31_final
2021-05-31 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2021-05-31_final
2021-06-27 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2021-06-27_final
2021-07-10 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2021-07-10_final
2021-07-30 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-30_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-09-25 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-09-25_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final.stac-item
2021-10-15 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2021-10-15_final
2021-11-11 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-11-11_final
2021-11-21 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-11-21_final.stac-item
2021-12-04 11:44:33	ga_s2bm_ard_3-2-1_50JPT_2021-12-04_final
2021-12-07 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2021-12-07_final
2021-12-07 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2021-12-07_final
2021-12-07 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2021-12-07_final
2021-12-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2021-12-07_final
2021-12-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-11_final
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2022-04-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-04-10_final.stac-item
2022-05-10 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-05-10_final.stac-item
2022-08-31 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2022-08-31_final
2022-10-30 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-10-30_final.stac-item
2023-01-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-01-24_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-11-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2023-11-24_final.stac-item
2024-04-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-09_final.stac-item
2024-04-12 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-04-12_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