Cooperative Institute for Research in Environmental Sciences at the University of Colorado Boulder

All day
 
 
Before 01
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
 
ESOC Virtual Coffee Hour

ESOC Virtual Coffee Hour

ESOC virtual coffee hour occurs weekly from 9-10am on Wednesdays. We will be meeting remotely on Zoom. Please email Claire Waugh (waughc@colorado.edu) for information.

ESOC researchers, post-docs and graduate students gather for conversation and to discuss research. Occasional guest speakers are invited to give short presentations on topics of interest.

Date

Wednesday, April 21, 2021
9:00am to 10:00am

Host

  • ESOC

Audience

  • CIRES employees
  • CU Boulder employees
  • NOAA employees
  • Science collaborators

Type

  • Meeting

contact

Claire Waugh; waughc@colorado.edu

Location

2021-04-21
 
NSIDC Cryosphere Seminar

NSIDC Cryosphere Seminar

Mapping Abrupt Permafrost Thaw from Space Using Machine Learning by Dr. Lingcao Huang, CIRES

Permafrost is undergoing strong warming and thawing in recent decades, which can potentially cause unprecedented environmental consequences as it stores a large amount of carbon and underlays about 25% of the exposed land in the northern hemisphere. Abrupt thawing of ice-rich permafrost may result in landforms such as retrogressive thaw slumps and thermo-erosion gullies on the Earth’s surface. As reported by many local studies, the occurrence and frequency of abrupt permafrost thaw have increased significantly. However, its spatial distribution and development in most permafrost areas are poorly quantified, which hinders the understanding of permafrost degradation in large areas. The reason for this is the difficultly of analyzing big data and extracting small and subtle features on images. In the past decades, the accumulation of satellite data and the advance of machine learning algorithms, especially convolutional neural networks, make it possible to tackle this problem.  In this talk, I will present my research of using high-resolution () satellite data and machine learning algorithms to map these landforms in Tibet and Alaska north slope.

Lingcao Huang is a CIRES visiting Postdoctoral Fellow at the University of Colorado Boulder. His current research focuses on mapping the spatial distribution and development of ice-rich permafrost abrupt thawing in Alaska north slope from various remote sensing data using machine learning. He received Bachelor and Master degrees in remote sensing & photogrammetry at Wuhan University and a Doctoral degree in earth and atmospheric sciences at the Chinese University of Hong Kong. 

Date

Wednesday, April 21, 2021
11:00am to 12:00pm
MDT

Link

Host

  • NSIDC

Audience

  • CIRES employees
  • CIRES families
  • CU Boulder employees
  • General Public
  • NOAA employees
  • Science collaborators

Type

  • Seminar
  • Open to Public

Resources

contact

Mistia Zuckerman

2021-04-21