Más de una docena de indicadores relacionados con la tierra se encuentran en cinco objetivos de los ODS, con datos mantenidos por diferentes organismos de custodia. El Land Portal relanzó el SDG Land Tracker (Rastreador de los ODS sobre Tierra) para ayudar a las partes interesadas en la tierra a supervisar los avances y el debate.
Más de una docena de indicadores relacionados con la tierra se encuentran en cinco objetivos de los ODS, con datos mantenidos por diferentes organismos de custodia. El Land Portal relanzó el SDG Land Tracker (Rastreador de los ODS sobre Tierra) para ayudar a las partes interesadas en la tierra a supervisar los avances y el debate.
Más de una docena de indicadores relacionados con la tierra se encuentran en cinco objetivos de los ODS, con datos mantenidos por diferentes organismos de custodia. El Land Portal relanzó el SDG Land Tracker (Rastreador de los ODS sobre Tierra) para ayudar a las partes interesadas en la tierra a supervisar los avances y el debate.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
