Remote sensing Environment, Analysis and Climate Technologies

The Remote sensing Environment, Analysis and Climate Technologies


The Remote sensing Environment, Analysis and Climate Technologies Technical Committee (REACT TC) is a venue for all scientists and engineers in the domain of environment and the impact on the environment due to climate change forcing in order to exchange ideas and share knowledge. It aims at advancing science, defining requirements for science driven mission concepts and data products in the domain of Cryosphere, Biosphere, Hydrosphere, Atmosphere and Geosphere. 


Technical Committee 

Irena Hajnsek
Subit Chakrabarti
Cloud to Street
Andrea Donnellan
Ryo Natsuaki
The University of Tokyo
Carlos Lopez Martinez

Local Focus Areas


Cryosphere Changes in the Hindu Kush, Karakoram, and Himalayas

Focus Area Lead: Dr. Muhammad Adnan Siddique

This local focus area aims to advance & disseminate scientific knowledge related to the Hindu Kush-Karakoram-Himalayan (HKH) cryosphere in general. This region remains under-studied, despite the fact that collectively it forms what we call the "third pole" with the "largest amount of ice cover outside of the Polar regions". Several glaciers are receding rapidly due to global warming. Climate change has exacerbated glacial melting, leading to an increase in glacial lake outburst floods (GLOFs). Remote Sensing is key to understanding these processes, and to learn and model the controlling factors behind the hazards in HKH.

Flooding in Africa

Focus Area Lead: Dr. Subit Chakrabarti

Floods, which constitute around half of all extreme events, are increasing, exposing a larger population to a higher risk of loss of livelihood and property. Climate change is also increasing the severity of floods, which makes these losses catastrophic and threatens every SDG at local and regional scales. The impact of flooding on the African continent is massive because robust flood defenses and urban drainage systems are lacking in many cities that are built on floodplains, which amplifies the risk further. Remote sensing and EO can help mitigate the loss of lives and livelihood and increase adaptation to floods. Near-real-time maps of inundation allow first responders and disaster managers to prioritize aid to the most affected areas, flood-risk maps allow planners to build flood defenses for neighborhoods that are most at risk, and predictive models built using EO data can help aid agencies provide anticipatory financing to vulnerable communities. However, major technical challenges still remain in generating actionable insights and inundation maps from remotely sensed imagery, which can only be solved when remote sensing experts work with emergency managers and other end users directly.

Pacific Islands and Territories

Focus Area Lead: Dr. Anthony Milne

Although Pacific Island nations have had the least involvement in causing anthropogenic climate change, they will experience the most extreme consequences. Recently, climate change has compounded an already-vulnerable situation by increasing the frequency and intensity of extreme climatic events that pose a significant threat to the safety of people and communities. The cost of recovery from these events can be significant. Local retrieved information from remote sensing data will increase awareness and is providing a better understanding of the environmental processes. The task here is to educate the local inhabitants about the knowledge gained from remote sensing and to bring together experts’ knowledge worldwide to support them with quantitative information to inform and guide decisions in promoting sustainable management of both land and ocean environments.

Agriculture and Food Security

Focus Area Lead: Dr. Avik Bhattacharya

Global food security is a part of the objectives of the UN's SDG and can be achieved through sustainable agricultural and regenerative practices, reduced food losses and waste, improved nutrient content, and assured zero hunger. With global warming, escalating conflicts, spiraling climatic crises, and economic downturns in recent years, global agricultural monitoring for sustainable food production and regional food security are critical objectives to address at the moment. One of the essential components of this is optimizing agricultural input resources including water usage, soil nutrient, pests and diseases, availability of clean, energy and labour. However, the high variability in cropping systems and agroecological zones makes agricultural production extremely diverse. For instance, crop monitoring, forecasting, and mechanization are highly site-specific due to variability in crop traits, pathogen pressures, environmental conditions, input availability and management strategies, making technological generalization very challenging. The volume of EO data used for near-real-time monitoring along with cloud-based processing and machine learning (ML) has recently enhanced scientific capacity and methods for investigating land and water resource management. Several efforts were made within scientific communities, commercial organizations, and national agencies to develop EO data products and ML methodologies that aid in monitoring biophysical (crop condition anomalies, planting acreage) and socio-political risk factors related to agricultural production and food security. End users with limited background in EO, would like to have analysis-ready data sets to assist them in continuous monitoring and impact analysis of climate change or interventions. These are critical needs across both developed and developing economies. We will initiate processes to make EO data in the form of analysis-ready and state-of-the-art methodologies for end-users towards the SDG.



Near Real-Time Monitoring of Flood Inundation in Africa using Remote Sensing and Machine Learning

In recent years, there has been an uptick in the frequency of climate disasters across the globe. African countries are generally poorly equipped to recover and adapt to climate-related shocks, most notably, disastrous flooding. According to Africa’s Pulse publication (Zeufack et al., 2021), within the last decade, storms have quadrupled in frequency while floods have also increased tenfold when compared to the 1970s. Since 2015, Cloud to Street has supported humanitarian organizations and governments of 28 countries across Africa with a near real-time multi-sensor flood monitoring system. In this talk, this system, utilizing Landsat and Sentinel constellations coupled with our deep learning based CNN flood detection algorithm, will be demonstrated. We will also show how this flood monitoring system provides the necessary historical data to assess and mitigate risk, improves situational awareness, and informs disaster response and recovery with medium to high resolution satellite observations.

2022 EO4SDG Contest Winners

The Technical Committee REACT of the IEEE Geoscience and Remote Sensing Society are proud to announce the winners of our 2022 EO4SDG contest.


New REACT (EO4SDG) Competition

The mini projects for Sustainable Development Goals competition is an initiative of the IEEE Geoscience and Remote Sensing Societies Technical Committee REACT (Remote sensing Environment, Analysis and Climate Technologies) to support science and to motivate local students to work together on a specific topic related to Earth Observation and Sustainable Development Goals (EO4SDG).

“Earth at Risk” Photo Contest

The IEEE GRSS Young Professionals and REACT Technical Committee (Remote sensing Environment, Analysis and Climate Technologies) are pleased to announce the photo contest “Earth at Risk” organized in conjunction with the mini-projects for sustainable development goals competition.

The next webinar in the Sustainability series is on December 7th at 12 Noon EST on using remote sensing to detect Methane emissions. Sign up here.

An invited session is planned for IGARSS 2022 in Kuala Lumpur, Malaysia taking place 17-22 July, 2022. The session is open to all that like to share their recent results on remote sensing towards sustainable development goals and is entitled as ‘Advances in remote sensing towards sustainable development goals’.

The technical committee will meet at IGARSS 2022. We will organize a hybrid (in presence and online) discussion session on what can be done more in remote sensing to advance and to reach the sustainable development goals.


The REACT TC is open for a wide range of people with different expertise and background and working in different application areas. We are happy if you provide feedback, suggestions, or ideas for future activities.

You can engage with us by contacting the Committee Chairs by email, join the LinkedIn IEEE GRSS Forum, or join the REACT TC!

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