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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JNN_2017-08-20_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPT_2017-08-20_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPS_2017-09-09_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JQR_2017-11-25_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKM_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KMA_2017-11-28_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KMU_2017-12-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQT_2017-12-15_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50JRT_2018-03-25_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JRT_2018-04-14_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGM_2018-10-17_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HPG_2018-10-18_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KMA_2018-10-27_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50JRT_2018-10-28_final
2018-11-07 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-07_final
2018-11-23 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2018-11-23_final
2018-11-26 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2018-11-26_final
2018-11-26 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2018-11-26_final
2018-11-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-11-27_final.stac-item
2018-11-30 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2018-11-30_final
2018-12-13 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2018-12-13_final
2018-12-20 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2018-12-20_final
2018-12-23 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2018-12-23_final
2018-12-23 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-23_final
2018-12-23 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2018-12-23_final
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2019-01-09 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2019-01-09_final
2019-01-15 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2019-01-15_final
2019-01-22 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-01-22_final
2019-01-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-01-25_final
2019-01-29 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2019-01-29_final
2019-01-29 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2019-01-29_final
2019-01-29 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2019-01-29_final
2019-05-19 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-19_final
2019-10-02 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-02_final.stac-item
2019-11-25 11:44:31	ga_s2bm_ard_3-2-1_50JQT_2019-11-25_final
2019-11-25 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2019-11-25_final
2019-12-05 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2019-12-05_final
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final
2019-12-21 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-21_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2020-04-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2020-04-10_final.stac-item
2020-07-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-22_final
2020-08-04 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-08-04_final
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-09-19_final
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2020-10-09_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2020-10-20 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2020-10-20_final
2020-11-02 11:53:45	ga_s2bm_ard_3-2-1_50KMB_2020-11-02_final
2020-11-09 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2020-11-09_final
2020-11-22 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2020-11-22_final
2020-12-12 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2020-12-12_final
2020-12-25 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2020-12-25_final
2020-12-29 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-12-29_final
2020-12-29 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-12-29_final.stac-item
2021-01-01 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-01-01_final
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final
2021-03-05 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2021-03-05_final
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final.stac-item
2021-04-15 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-04-15_final
2021-05-18 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-05-18_final
2021-05-21 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-05-21_final
2021-06-10 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-06-10_final
2021-06-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-06-30 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-30_final
2021-06-30 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-06-30_final
2021-07-07 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-07_final
2021-08-09 11:54:01	ga_s2bm_ard_3-2-1_50KNA_2021-08-09_final
2021-08-09 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-08-09_final
2021-08-19 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2021-08-19_final
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final
2021-09-01 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-09-01_final
2021-09-02 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2021-09-02_final
2021-11-14 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2021-11-14_final
2021-11-14 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-11-14_final
2021-11-14 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-11-14_final
2021-11-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-11-17_final
2021-12-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final
2021-12-07 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2021-12-07_final
2021-12-10 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-12-10_final
2021-12-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-12-24_final.stac-item
2022-01-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-01-10_final
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final
2022-02-21 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-21_final
2022-06-18 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2022-06-18_final
2022-06-21 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2022-06-21_final
2023-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2023-01-14_final.stac-item
2023-01-21 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2023-01-21_final.stac-item
2023-01-21 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2023-01-21_final.stac-item
2023-01-28 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-01-28_final.stac-item
2023-01-31 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2023-01-31_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KNA_2023-02-13_final.stac-item
2023-04-28 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2023-04-28_final.stac-item
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final.stac-item
2023-07-27 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2023-07-27_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