NASA's Applied Remote Sensing Training Program (ARSET) has opened registration for Three New Open, Online NASA ARSET Remote Sensing Training (June-July 2020)

-
NASA's Applied Remote Sensing Training Program (ARSET) has opened registration for Three New Open, Online NASA ARSET Remote Sensing Training (June-July 2020)




Groundwater Monitoring using Observations from NASA's Gravity Recovery and Climate Experiment (GRACE) Missions (June 25, 2020)  Bilingual (English and Spanish)    
The webinar will provide an overview of the GRACE missions, groundwater data availability, and their applications in the monitoring and management of water resources. 

Understanding Phenology with Remote Sensing (June 30, July 7, 14, 2020)
This training series will focus on the use of remote sensing to understand vegetation phenology: the study of life-cycle events.
 
Advanced Webinar: Using Earth Observations to Monitor Water Budgets for River Basin Management II (July 21, 28,August 4, 2020)
This 3-part series will include lectures and hands-on exercises for participants to estimate water budgets for a given river basin. 

Please see below for more details for each training.  

NASA's Applied Remote Sensing Training Program (ARSET) program offers satellite remote sensing training that builds the skills to integrate NASA Earth Science data into an agency's and organization's decision-making activities. As all NASA data is open and free, so are ARSET trainings. 

All the best, 

Brock Blevins

Training Coordinator
Science Systems and Applications, Inc. (SSAI)
NASA Applied Remote Sensing Training Program (ARSET)
402-578-7313


Groundwater Monitoring using Observations from NASA's Gravity Recovery and Climate Experiment (GRACE) Missions (June 25, 2020)
Bilingual (English and Spanish)

Groundwater makes up roughly 30% of global freshwater. It also provides drinking water for the world's population, and irrigation for close to 1/3rd of global agricultural land. Because of this level of reliance, monitoring groundwater is crucial for water resources and land management. The Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) missions from NASA and the German Research Centre for Geosciences (GFZ) provide large-scale terrestrial water storage estimation from mid-2000 to present. The mission uses twin satellites to accurately map variations in the Earth's gravity field and surface mass distribution.

GRACE observations have been used for detecting groundwater depletion and for drought and flood predictions. This lightning-style training is designed to answer the demand and interest from the applications community in technologies that can be used to support water resources management. The webinar will provide an overview of the GRACE missions, groundwater data availability, and their applications in the monitoring and management of water resources. This lightning webinar will also serve as the foundation for the upcoming advanced webinar: Using Earth Observations to Monitor Water Budgets for River Basin Management II.

Course Date and Times: June 25, 2020
Register Here: English (11:00-12:30 ET)
Register Here: Spanish (14:00-15:30 ET)
Learning Objectives: By the end of this training, attendees will be able to access GRACE data and analyze regional groundwater changes

Course Format: A single, 1.5-hour webinar that includes a lecture and a question & answer session; One session offered in English (11:00-12:30 ET) and one in Spanish (14:00-15:30 ET)

Audience: The content of this training was developed for local, regional, state, federal, and international organizations engaged in the management of water resources, irrigation, and agricultural management.

Relevant UN Sustainable Development Goals: 
Target 6.4: By 2030, substantially increase water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity and substantially reduce the number of people suffering from water scarcity




Understanding Phenology with Remote Sensing (June 30, July 7, 14, 2020)

This training will focus on the use of remote sensing to understand phenology: the study of life-cycle events. Phenological patterns and processes can vary greatly across a range of spatial and temporal scales, and can provide insights about ecological processes like invasive species encroachment, drought, wildlife habitat, and wildfire potential. This training will highlight NASA-funded tools to observe and study phenology across a range of scales. Attendees will be exposed to the latest in phenological observatory networks and science, and how these observations relate to ecosystem services, the carbon cycle, biodiversity, and conservation.

Course Dates: June 30, 2020. July 7,14, 2020

Time: 11:00 AM - 12:00 PM EDT (UTC-4)

Register Here

Learning Objectives: By the end of this training series, attendees will be able to:
Summarize NASA satellites and sensors that can be used for monitoring global phenology patterns
Outline the benefits and limitations of NASA data for phenology
Describe the multi-scalar approach to vegetation life cycle analyses
Compare and contrast data from multiple phenology networks
Evaluate various projects and case-study examples of phenological data
Course Format: Three, one-hour sessions

Audience: This training is designed for individuals and organizations interested in using satellite imagery for mapping vegetation health and seasonal patterns. 

Relevant UN Sustainable Development Goals:
Goal 13: Take urgent action to combat climate change and its impacts 
Goal 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss




Advanced Webinar: Using Earth Observations to Monitor Water Budgets for River Basin Management II (July 21, 28,August 4, 2020)

Rivers are a major source of freshwater. They support aquatic and terrestrial ecosystems, provide transportation, generate hydropower, and when treated, provide drinking and agricultural water. Estimating and monitoring water budgets within a river basin is required for sustainable management of water resources and flooding within watersheds. This advanced-level webinar series will focus on the use of NASA Earth observations and Earth system-modeled data for estimating water budgets in river basins.

Past ARSET trainings on monitoring water budgets for river basins focused on data sources relevant for river basin monitoring and management, and provided case studies for estimating the water budget of a watershed using remote sensing products. This advanced webinar will include lectures and hands-on exercises for participants to estimate water budgets for a given river basin.

Course Dates: July 21, 28, and August 4, 2020.

Times: 10:00-12:00 & 16:00-18:00 EDT (UTC-4); There will be identical sessions at two different times of the day

Register Here

Learning Objectives: By the end of this training, attendees will be able to:
Identify and access remote sensing and Earth system-modeled data for estimating water budgets in a river basin
Explain the uncertainties involved in estimating water budgets for river basins
Replicate the steps for estimating water budgets for a river basin and sub-watersheds using remote sensing products and GIS
Course Format: Three, two-hour parts that include lectures and demonstrations, exercises, and question and answer sessions. Each webinar will be broadcast in English with training materials available in Spanish.

Audience: The content of this training was developed for local, regional, state, federal, and international organizations engaged in the management of water resources, river basins, floods, droughts, land development, river transportation, hydroelectric power, and reservoirs.

Relevant UN Sustainable Development Goals: 

Target 6.4: By 2030, substantially increase water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity and substantially reduce the number of people suffering from water scarcity
Target 6.5: By 20Retweet Option:30, implement integrated water resources management at all levels, including through transboundary cooperation as appropriate

-- 
You received this message because you are subscribed to the Google Groups "Conservation Remote Sensing Network (CRSNet)" group.
To unsubscribe from this group and stop receiving emails from it, send an email to Conservation_RS+unsubscribe@googlegroups.com.


....


Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://g.page/vineeshvc
🌏🌎
🌐🌍

Comments

Post a Comment

Popular posts from this blog

Spatial feature manipulation in remote sensing

-
Image
Spatial feature manipulation in remote sensing refers to the process of altering or modifying the spatial characteristics of a particular feature in an image or data set. This can be done for a variety of reasons, such as to improve the accuracy or clarity of the image, to enhance the interpretability of the data, or to extract specific information from the image. One common method of spatial feature manipulation is resampling, which involves changing the resolution or spatial extent of an image. This can be done to match the resolution of other data sets, to reduce the size of the image for faster processing, or to increase the resolution for greater detail. Another technique is spatial filtering, which involves applying mathematical operations to the image data to remove noise or highlight specific features. This can be done using convolution filters, which apply a pre-defined mathematical function to the image data, or using image enhancement techniques, such as contrast stretching
Read more

Grey level thresholding. Level slicing. Contrast stretching lo p

-
Image
Grey level thresholding. Level slicing. Contrast stretching. Image enhancement Lillesand and Kiefer (1994) explained the goal of image enhancement procedures is to improve the visual interpretability of any image by increasing the apparent distinction between the features in the scene. This objective is to create "new" image from the original image in order to increase the amount of information that can be visually interpreted from the data. Enhancement operations are normally applied to image data after the appropriate restoration procedures have been performed. Noise removal, in particular, is an important precursor to most enhancements. In this study, typical image enhancement techniques are as follows: Grey level thresholding Grey level thresholding is a simple lookup table, which partitions the gray levels in an image into one or two categories - those below a user-selected threshold and those above. Thresholding is one of many methods for creating a binary mask for an i
Read more

Spatial filtering, Remote Sensing. Low-pass filter. High-pass filter

-
Spatial filtering encompasses another set of digital processing functions which are used to enhance the appearance of an image. Spatial filters are designed to highlight or suppress specific features in an image based on their spatial frequency. Spatial frequency is related to the concept of image texture. It refers to the frequency of the variations in tone that appear in an image. "Rough" textured areas of an image, where the changes in tone are abrupt over a small area, have high spatial frequencies, while "smooth" areas with little variation in tone over several pixels, have low spatial frequencies. A common filtering procedure involves moving a 'window' of a few pixels in dimension (e.g. 3x3, 5x5, etc.) over each pixel in the image, applying a mathematical calculation using the pixel values under that window, and replacing the central pixel with the new value. The window is moved along in both the row and column dimensions one pixel at a time and the ca
Read more