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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HQG_2017-07-25_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGN_2017-08-26_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPH_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPT_2017-08-27_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-14_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPP_2017-11-28_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPP_2017-12-08_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JPS_2018-03-18_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HPG_2018-07-20_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JPS_2018-08-25_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-10-20_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHR_2018-10-20_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JPR_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JPT_2018-10-24_final
2018-11-19 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-11-19_final
2018-11-19 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-19_final
2018-11-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-11-27_final
2018-12-03 11:54:28	ga_s2bm_ard_3-2-1_50JPT_2018-12-03_final
2018-12-03 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2018-12-03_final
2018-12-06 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2018-12-06_final
2018-12-10 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2018-12-10_final
2018-12-13 11:54:45	ga_s2bm_ard_3-2-1_50JNS_2018-12-13_final
2018-12-13 11:55:28	ga_s2bm_ard_3-2-1_50JNP_2018-12-13_final
2018-12-13 11:56:11	ga_s2bm_ard_3-2-1_50JNL_2018-12-13_final
2018-12-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-12-26_final
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-12-26_final
2018-12-26 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2018-12-26_final
2018-12-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-12-26_final
2019-01-02 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2019-01-02_final
2019-01-05 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2019-01-05_final
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final
2019-01-09 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2019-01-09_final
2019-01-12 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2019-01-12_final
2019-01-12 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2019-01-12_final.stac-item
2019-01-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-15_final
2019-01-25 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-01-25_final
2019-01-29 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2019-01-29_final
2019-01-29 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2019-01-29_final
2019-05-19 11:47:02	ga_s2bm_ard_3-2-1_50HQH_2019-05-19_final
2019-05-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-22_final
2019-06-01 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-01_final
2019-07-18 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-18_final
2019-08-16 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2019-08-16_final.stac-item
2019-11-24 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-11-24_final
2019-12-18 11:54:28	ga_s2bm_ard_3-2-1_50JPT_2019-12-18_final
2019-12-24 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2019-12-24_final
2020-01-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-01-03_final
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final
2020-08-24 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-08-24_final
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final
2020-10-23 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2020-10-23_final
2020-10-23 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2020-10-23_final
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-10-29 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-10-29_final
2020-11-08 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-11-08_final
2020-11-09 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2020-11-09_final
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final
2020-12-08 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-08_final
2020-12-22 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2020-12-22_final
2020-12-25 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-12-25_final
2020-12-25 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-12-25_final
2020-12-28 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-12-28_final
2021-01-01 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2021-01-01_final
2021-01-08 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2021-01-08_final
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final
2021-03-02 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-03-02_final
2021-05-18 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-05-18_final
2021-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-07_final
2021-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-06-17_final
2021-06-30 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-06-30_final
2021-07-07 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-07-07_final
2021-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-17_final
2021-08-19 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2021-08-19_final
2021-10-15 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2021-10-15_final
2021-10-15 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2021-10-15_final
2021-11-17 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2021-11-17_final
2021-11-17 11:55:33	ga_s2bm_ard_3-2-1_50JNP_2021-11-17_final
2021-12-07 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2021-12-07_final
2021-12-21 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2021-12-21_final
2022-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2022-02-12_final.stac-item
2022-07-19 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2022-07-19_final.stac-item
2022-07-19 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-07-19_final.stac-item
2022-07-21 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2022-07-21_final.stac-item
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-07-22 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-22_final
2022-09-17 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2022-09-17_final.stac-item
2022-10-30 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-10-30_final.stac-item
2022-12-29 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2022-12-29_final.stac-item
2023-01-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-01-08_final.stac-item
2023-01-11 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-01-11_final.stac-item
2023-01-21 11:55:33	ga_s2bm_ard_3-2-1_50JNP_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
2023-02-27 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2023-02-27_final.stac-item
2023-09-25 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-09-25_final.stac-item
2023-10-15 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-10-15_final.stac-item
2023-10-25 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-10-25_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