lakecostr_colab - lakeCoSTR for Google Colaboratory v1.13

lakeCoSTR is a Python notebook for Google Colaboratory to facilitate the acquisition and aggregation of the Landsat Collection 2 surface temperature product for global lakes. lakeCoSTR also will pair user-provided in situ data with the Landsat record, providing a ground-truth dataset for users to assess the performance of the Landsat Collection 2 surface temperature estimates for their lake of interest.

Features of lakeCoSTR:

• lakeCoSTR aggregates the surface temperature estimates into summary values per Landsat scene and outputs those data in a single .csv file for the requested time of interest
• lakeCoSTR makes it easy to pair the Landsat surface temperature estimates with user-provided in situ temperature data

A user guide is available with resources for tool use. Data input and output examples are provided at the lakeCoSTR_examples repository.

Updates to v1.13: - using latest JRC Global Surface Water version 4 - no longer throws an error when using a custom region of interest from a GEE asset (https://github.com/lakeCoSTR/lakeCoSTR_colab/issues/3)

Updates to v1.12: - masked cloud shadows in BQA masks

Updates to v1.11: - removed LAKENAME _histogram.csv output, as it was redundant to all other data provided from tool.

- Jupyter Notebook
Published by cherrickunh about 3 years ago

lakecostr_colab - lakeCoSTR for Google Colaboratory v1.12

lakeCoSTR is a Python notebook for Google Colaboratory to facilitate the acquisition and aggregation of the Landsat Collection 2 surface temperature product for global lakes. lakeCoSTR also will pair user-provided in situ data with the Landsat record, providing a ground-truth dataset for users to assess the performance of the Landsat Collection 2 surface temperature estimates for their lake of interest.

Features of lakeCoSTR:

lakeCoSTR aggregates the surface temperature estimates into summary values per Landsat scene and outputs those data in a single .csv file for the requested time of interest lakeCoSTR makes it easy to pair the Landsat surface temperature estimates with user-provided in situ temperature data A user guide is available with resources for tool use. Data input and output examples are provided at the lakeCoSTR_examples repository.

Updates to v1.12: masked cloud shadows in BQA masks

Updates to v1.11: removed LAKENAME _histogram.csv output, as it was redundant to all other data provided from tool.

- Jupyter Notebook
Published by steeleb over 3 years ago

lakecostr_colab - lakeCoSTR for Google Colaboratory v1.11

lakeCoSTR is a Python notebook for Google Colaboratory to facilitate the acquisition and aggregation of the Landsat Collection 2 surface temperature product for global lakes. lakeCoSTR also will pair user-provided in situ data with the Landsat record, providing a ground-truth dataset for users to assess the performance of the Landsat Collection 2 surface temperature estimates for their lake of interest.

Features of lakeCoSTR: - lakeCoSTR aggregates the surface temperature estimates into summary values per Landsat scene and outputs those data in a single .csv file for the requested time of interest - lakeCoSTR makes it easy to pair the Landsat surface temperature estimates with user-provided in situ temperature data

A user guide is available with resources for tool use. Data input and output examples are provided at the lakeCoSTR_examples repository.

Updates to v1.11: removed LAKENAME _histogram.csv output, as it was redundant to all other data provided from tool.

- Jupyter Notebook
Published by steeleb about 4 years ago

lakecostr_colab - lakeCoSTR for Google Colaboratory

lakeCoSTR is a Python notebook for Google Colaboratory to facilitate the acquisition and aggregation of the Landsat Collection 2 surface temperature product for global lakes. lakeCoSTR also will pair user-provided in situ data with the Landsat record, providing a ground-truth dataset for users to assess the performance of the Landsat Collection 2 surface temperature estimates for their lake of interest.

Features of lakeCoSTR: - lakeCoSTR aggregates the surface temperature estimates into summary values per Landsat scene and outputs those data in a single .csv file for the requested time of interest - lakeCoSTR makes it easy to pair the Landsat surface temperature estimates with user-provided in situ temperature data

A user guide is available with resources for tool use.

- Jupyter Notebook
Published by steeleb about 4 years ago