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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51HWD_2017-08-28_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52JBP_2017-09-17_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUR_2017-11-22_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JBT_2017-12-06_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTU_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVB_2018-01-24_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LYE_2018-01-31_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52JBQ_2018-02-24_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LYD_2018-03-02_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKN_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNM_2018-04-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPJ_2018-06-30_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNQ_2018-07-16_final
2018-07-19 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-07-19_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNJ_2018-07-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLN_2018-08-05_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWA_2018-08-19_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-09-11_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KWB_2018-09-18_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-10-10_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HTC_2018-10-15_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVV_2018-10-28_final
2018-12-14 11:22:17	ga_s2bm_ard_3-2-1_51KZA_2018-12-14_final
2018-12-24 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2018-12-24_final
2018-12-27 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2018-12-27_final.stac-item
2019-02-05 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-02-05_final
2019-02-25 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2019-02-25_final
2019-03-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2019-03-10_final
2019-04-03 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2019-04-03_final
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-06-24_final
2019-08-03 12:03:31	ga_s2bm_ard_3-2-1_50KMC_2019-08-03_final
2019-09-30 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2019-09-30_final
2019-10-05 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2019-10-05_final
2019-10-25 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-25_final
2019-11-02 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-11-02_final
2019-12-12 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2019-12-12_final
2019-12-24 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2019-12-24_final
2020-01-14 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2020-01-14_final
2020-02-10 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2020-02-10_final
2020-02-10 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2020-02-10_final
2020-02-19 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2020-02-19_final
2020-05-13 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2020-05-13_final
2020-05-17 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final
2020-06-03 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2020-06-03_final
2020-06-23 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2020-06-23_final
2020-06-28 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-06-28_final
2020-07-12 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-07-12_final
2020-08-11 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2020-08-11_final
2020-09-17 11:35:21	ga_s2bm_ard_3-2-1_51JWJ_2020-09-17_final
2020-09-27 11:32:39	ga_s2bm_ard_3-2-1_51KYV_2020-09-27_final
2020-09-27 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-09-27_final
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final
2020-11-07 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2020-11-07_final
2020-11-23 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2020-11-23_final
2021-01-25 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-01-25_final
2021-02-07 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-02-07_final
2021-03-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-16_final
2021-05-19 11:14:57	ga_s2bm_ard_3-2-1_52JBR_2021-05-19_final
2021-05-31 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-05-31_final
2021-06-11 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-06-11_final
2021-06-11 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2021-06-11_final
2021-06-17 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2021-06-17_final
2021-06-18 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2021-06-18_final
2021-07-07 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-07-07_final
2021-08-03 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-08-03_final
2021-09-01 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-01_final
2021-09-15 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2021-09-15_final
2021-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-12-07 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-07_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-01-13_final.stac-item
2022-02-12 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2022-02-12_final
2022-03-21 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2022-03-21_final
2022-04-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-04-02_final
2022-05-10 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2022-05-10_final
2022-08-25 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2022-08-25_final
2022-10-10 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-10-10_final.stac-item
2022-11-03 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2022-11-03_final.stac-item
2022-11-16 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-11-16_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2023-02-23_final.stac-item
2023-03-06 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-06_final.stac-item
2023-04-25 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-04-25_final.stac-item
2023-06-01 11:22:41	ga_s2bm_ard_3-2-1_51KZV_2023-06-01_final.stac-item
2023-06-08 11:15:12	ga_s2bm_ard_3-2-1_52JBQ_2023-06-08_final.stac-item
2023-06-11 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-06-11_final.stac-item
2023-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JYJ_2023-06-11_final.stac-item
2023-06-23 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-06-23_final.stac-item
2023-07-17 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2023-07-17_final.stac-item
2023-08-04 11:05:24	ga_s2bm_ard_3-2-1_52JDP_2023-08-04_final.stac-item
2023-08-26 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2023-08-26_final.stac-item
2023-09-22 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2023-09-22_final.stac-item
2023-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-10-02_final.stac-item
2023-10-16 11:16:22	ga_s2bm_ard_3-2-1_52HBK_2023-10-16_final.stac-item
2023-10-26 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2023-10-26_final.stac-item
2023-11-08 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-11-08_final.stac-item
2023-12-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-12-03_final.stac-item
2024-01-20 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2024-01-20_final.stac-item
2024-01-31 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2024-01-31_final.stac-item
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_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