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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGM_2017-07-04_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNQ_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPR_2017-08-27_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HPH_2017-09-03_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2017-09-12_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKT_2017-09-12_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JKN_2017-12-18_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLG_2018-01-24_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNK_2018-02-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-03-04_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLT_2018-03-08_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPM_2018-03-15_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNQ_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPQ_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JQQ_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMQ_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPT_2018-03-28_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPJ_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPQ_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLM_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLR_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLS_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMP_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPT_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQL_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPL_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPP_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQQ_2018-04-14_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHN_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQT_2018-04-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMG_2018-05-24_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JMM_2018-07-23_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HMG_2018-08-15_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKM_2018-08-15_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final
2019-04-29 11:45:32	ga_s2bm_ard_3-2-1_50JNQ_2019-04-29_final
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final
2019-04-29 11:46:08	ga_s2bm_ard_3-2-1_50JQM_2019-04-29_final
2019-05-19 11:44:46	ga_s2bm_ard_3-2-1_50JPT_2019-05-19_final
2019-05-19 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-19_final
2019-05-29 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-29_final
2019-06-01 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-06-01_final
2019-06-01 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-06-01_final
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-08-17_final.stac-item
2019-10-03 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2019-10-03_final.stac-item
2019-12-15 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-15_final
2020-03-24 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-24_final.stac-item
2020-06-01 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-06-01_final
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-07-05_final
2020-07-19 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-07-19_final.stac-item
2020-10-23 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-10-23_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2021-01-18 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-01-18_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final.stac-item
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final.stac-item
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-06-23_final
2021-06-30 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-06-30_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-07-07 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2021-07-07_final
2021-07-07 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2021-07-07_final
2021-07-10 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2021-07-10_final
2021-07-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-17_final.stac-item
2021-07-26 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-26_final
2021-07-27 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-27_final
2021-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-27_final
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final
2021-08-02 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-08-02_final
2021-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-08-09_final
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-08-19 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-08-19_final
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final
2022-02-12 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-02-03_final.stac-item
2023-03-18 12:14:34	ga_s2bm_ard_3-2-1_49KFP_2023-03-18_nrt.stac-item
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final.stac-item
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final.stac-item
2023-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-06_final.stac-item
2023-07-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-07-13_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2024-02-01 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2024-02-01_final.stac-item
2024-04-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-09_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