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. 

Having secure land tenure, ensuring people's confidence in accessing, controlling and utilizing their land, is crucial for promoting sustainable land management practices. It also plays a key role in building resilience against the impacts of climate change, including extreme weather events, rising sea levels, and increased desertification due to higher temperatures.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Monitoring Water Quality of Inland Lakes using Remote Sensing. This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes. This training will also highlight the importance of in situ measurements of these parameters, coincident with satellite observations, in developing methodologies for operational water quality monitoring.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Assessing the Impacts of Fires on Watershed Health. This advanced-level, three-part training will focus on using remote sensing observations for monitoring post-fire impacts on watershed health. Specifically, this training will highlight uses of NASA Earth observations (EO) for pre-fire land cover mapping, watershed delineation and stream mapping, post-fire burn severity mapping, and pre- and post-fire riverine and freshwater water quality.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new online introductory webinar series: Fundamentals of Machine Learning for Earth Science. This three-part training, presented in English and Spanish, is open to the public and will provide attendees an overview of machine learning in regards to Earth Science, and how to apply these algorithms and techniques to remote sensing data in a meaningful way. Attendees will also be provided with end-to-end case study examples for generating a simple random forest model for land cover classification from optical remote sensing. We will also present additional case studies to apply the presented workflows using additional NASA data.

IATI will host its annual Members' Assembly and Community Exchange in-person in Copenhagen (UN City) between Monday 13 and Thursday 16 March 2023. 

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new online advanced webinar series: Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing. This three-part training, presented in English and Spanish, is open to the public and builds on previous ARSET agricultural trainings. Here we present more advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will also cover methods that use machine learning methods to classify crop type using a time series of Sentinel-1 & Sentinel-2 imagery. This series will include practical exercises using the Sentinel Application Platform (SNAP) and Python code written in Python Jupyter Notebooks, a web-based interactive development environment for scientific computing and machine learning.

This webinar will focus on assess areas at risk from disasters due to landslides; characterize the extent and impacts of oil spills;and characterizing inundation extent.

Thursday, June 30

1:30 pm - 3:00 pm CEST

Hybrid format

Register for LANDac Conference to participate

Thursday, June 30

9:30 am - 11:00 am CEST

Hybrid format

Register for LANDac Conference to participate

The “Data Revolution” has been ongoing for about sixty years now.

Conflict, war, and forced displacement affect millions of people each year and have immediate and long-term consequences for human health and development, in addition to causing the degradation of natural and managed landscapes.

Evapotranspiration (ET) is the process by which the land surface returns water to the atmosphere in the form of moisture. ET is a very important part of the water cycle in the Earth system. It is the sum of evaporation from bare soil and transpiration from vegetation. For a given watershed, the supply of water from precipitation, surface and groundwater can be depleted via ET.