land cover mapping

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.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online introductory webinar series: Connecting Citizen Science with Remote Sensing. This 3-part training, delivered in English and Spanish, will provide attendees an overview of citizen science efforts that use Earth Observations combined with ground-based information in the fields of climate change, sustainable development, ecosystem monitoring and characterization, drought, and land cover or land-use change, and will highlight case-study examples of successful citizen science projects, with some examples from NASA supported projects and activities.

Structures such as buildings, roads, and other infrastructure absorb and re-emit the sun’s heat more than natural landscapes such as forests and water bodies. Urban areas, where these structures are highly concentrated and greenery is limited, become “islands” of higher temperatures relative to outlying areas.

Small island nations are highly vulnerable to climate change and natural disasters; among them hurricanes, cyclones, and other violent storms. These disasters can lead to severe flooding, landslides, and, in the worst cases, can result in the loss of life and property.

This introductory webinar series will cover the fundamentals of Solar Induced Fluorescence (SIF) and LIDAR, their applications, and an overview of different satellite data sources that are openly available. In addition, it will also include a step-by-step guide on how to access, open, and interpret SIF and LIDAR data.