Himalayan IPS Session of the 5th AOGEO Workshop& Research and Cooperation Progresses
Dr. Shanlong Lu
Aerospace Information Research Institute, CASInternational Research Center of Big Data for SDGs (CBAS)

Part I: Himalayan IPS Session of the 5th AOGEO Workshop
Thursday, June 16, 2022

China
Nepal
Bangladesh
Pakistan
8 speakers

20+ participants

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

EO applications forrisk reduction andresilience in the HKHContent• Brief background on theHimalaya region• Examples of EO applications
relevant to risk reduction• Key issues/challenges and wayforward for IPS
Birendra Bajracharya
ICIMOD

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Weather assessment

Drought Monitoring

Flood Monitoring
Capacity buildingPart I: Himalayan IPS Session of the 5th AOGEO Workshop

Issues and challenges••

EO data and models are getting
better, risk communication is still abig challenge
Limited capacity of key agencies touptake the emerging information
systems

Way forward•

AOGEO IPS to find ways for better
promotion of regional EO resources•Resource mobilization strategy tofacilitate IPS project grants andattract institutions from the region•

Visioning the future of digital
innovations and EO applications•Need for improving coordination
within the countries at different
levels and regional collaboration•Collaborate with other GEO/AOGEO
efforts on capacity building andapplication development•

AOGEO IPS should have a clear
framework and pathway•

Reaching out beyond the GEO
member community

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Satellite Observations
for Water Cycle
Parameters over Tibet

Content• MOST funded the Second
Expedition Project in Tibet• Examples of the project results• Summary

Jiancheng ShiNSSC/CAS

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

snow cover

Annual change rate of lake area
2001 - 2020 (top 200)

2002-2020

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Summary(1) We have generated these 15 energy & water
cycle key components to support high resolution
models and validations and improvements, fromwhich 8 datasets are already available athttps://data.tpdc.ac.cn/zh-hans;(2) The initial analyses have shown the satellite
observations play an important role in studies of theeffects of climatic change on the surface water
cycle properties over Tibet;（3) The synergies of satellite observations andEarth system models will provide a new opportunity
to increase our understanding on the impacts of
Global change over Tibet and the applications inwater resource management, ecosystems, andhydrological extreme predictions.

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Flood Hazard Mapping of theNorth-central Bangladesh
using Sentinel Satellite Images

Content• Background of Floods inBrahmaputra River• Flood mapping method withSAR images• Mapping platform and results
A.K.M. Saiful Islam
BUETPart I: Himalayan IPS Session of the 5th AOGEO Workshop

Methodology

GEE platform

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Monitoring the snow, glaciersand geohazards in High
Mountain Asia (HMA) and ArcticContent• MOST funded project
introduction• Research progresses• Participating in GEO activities
Jinghui FanAGRSPart I: Himalayan IPS Session of the 5th AOGEO Workshop

Research region, content, and goals

It is supported by National Key R&D Program of China

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

EO for SDGs monitoring
and assessment in HKHContent• MOST funded SDG Project in
HKH region• Joint field observation plan
• Future cooperations
Shanlong Lu
AIRCAS/CBASPart I: Himalayan IPS Session of the 5th AOGEO Workshop

Remote sensing assessment and capacity building of sustainable
development in Hindu Kush Himalaya region
Main contents
ScientificobjectivesAnalyze andunderstand thehistory, current
situation andproblems ofsustainable
development in
HKH region

Solve the problemof the influence ofcomplex terrain on
the monitoring andinversion of key
agricultural, water
resources andecological elements

Demonstration and exchange

Task 4: Preparation and publish of
remote sensing assessment report for
HKH regional sustainable development

Task 3: Research and development ofcloud service system for HKH regionalsustainable development assessment

Task 2: Assessment of sustainable
development in HKH region

Task 1: Research on remote sensing
monitoring technology and products ofsustainable development indicators
applicable to HKH region

Expect outcomes
Technical objectives
Build a cloud service
platform forcountries in theregion to carry out
sustainable
development statusmonitoring andassessment
Construction oftechnical methods
and data set formonitoring
agricultural, water
resources andecologicalparameters in
Mountainous Areas

Part I: Himalayan IPS Session of the 5th AOGEO Workshop

Joint observation

Future cooperation⚫ Joint field observation(Indus River).
⚫ Joint project application(UNEP, MOST, NSFC,ANSO, CBAS, etc.).
⚫ Jointly host regional

academic exchangeseminar.

Part II: Research and Cooperation Progresses
Automatic lake extraction in HKH Cloud Computing Service Platform

Part II: Research and Cooperation Progresses◼ The result of lake extraction
The experimental results over the validation set can achieve an Accuracy of 0.9970,
Precision of 0.9878, Recall of 0.9784, IoU of 0.9667, and Kappa of 0.9814. When theproportion of cloud shadows reaches 4%, the model can fully learn the difference
between cloud shadows and lakes.
Ground Truth

The result of the model trained by training
dataset with 4% cloud shadowsPart II: Research and Cooperation Progresses◼ Application in the Inner River Basin of Tibetan Plateau
The model is applied to the Inner River Basin of the Tibetan Plateau. The
result shows that the model can automatically extract lakes for a large region. It
indicates that the model have strong generalization ability.
Sentinel-2 images of the Inner River
Basin (July – Oct 2021)

The result of lake extraction in the Inner
River Basin Basin (July – Oct 2021)

Part II: Research and Cooperation Progresses◼ Water clarity monitoring
RGBwaterwater clarity

Part II: Further Research and Cooperation Progresses

Part II: Further Research and Cooperation Progresses
Generating and sharing data on “SDG 15 - Life on Land” in the HKH

Thanks for your attention！
Dr. Shanlong Lu
lusl@aircas.ac.cn, 18910102579 (WeChat)
Aerospace Information Research Institute(AIR)
Chinese Academy of Sciences(CAS)www.aircas.ac.cn