The Land Development Department of Thailand (LDD), uses space applications to support the country’s agricultural sector in many ways, including surveying soil classification for agricultural planning, and for agricultural land census. Surveying soil classification for agricultural planning uses satellite images in combination with aerial imagery, such as through the Soil series visualisation system.
The Geo-Informatics and Space Technology Development Agency (GISTDA), in Thailand, used space applications to combat COVID-19, in particular to enable policymakers to utilize COVID-19 related data. GISTDA used space applications to monitor the COVID-19 situation and visualize the impact of the policies employed in the country. For example, GISTDA analysed reduced night-light images to monitor the impact from lock-down measures.
The 2019 cyclonic storm ‘Fani’ was one of the severest cyclones, in the past two decades, to hit the Bay of Bengal, affecting around 100 million people in South Asia. The cyclone travelled from India's Andaman Islands to Mount Everest in Nepal. Among the countries impacted along its way, India and Bangladesh faced the most extreme damages. A similar cyclone, the Odisha cyclone that occurred in 1999, caused more than 10,000 deaths in these two countries.
In early April 2020, tropical cyclone Harold, a severe category 5 cyclone, hit countries within the Pacific region, causing major damage and widespread destruction.
The Geostationary Environment Monitoring Spectrometer (GEMS), launched by the Republic of Korea in February 2020, enables the hourly monitoring of air pollution levels for almost 20 countries in Asia. Specifically, countries covered by the project include Cambodia, the Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam (ASEAN); Bangladesh, Bhutan, Nepal and Sri Lanka in South Asia; and China, Japan and the Republic of Korea in North-East Asia.
Effective and innovative Big Data processing and analysis is becoming increasingly important for risk assessment in data-scarce locations, particularly when defining and scaling up the present human and economic value of assets and when characterizing the natural hazards to which they may be exposed. This is driven primarily by dramatic increases in the volume and spatial/temporal resolution of remotely-sensed datasets and by social media sourced derivatives. Here, we present a few examples from Uttarakhand.
As an institute of higher educational, Daffodil International University (DIU) in Bangladesh is committed to respond to the universal call for the SDGs and has been taking actions to comply with the United Nation’s endeavors and to support the Government of Bangladesh for the achievement of desired outcomes under the framework of the 2030 Agenda for Sustainable Development.
Hawaiʻi’s first statewide Voluntary Local Review assesses progress to date and provides 2020 benchmark data to inform decision-making, including on economic recovery, through the Aloha+ Challenge – Hawai‘i’s framework to achieve the UN Sustainable Development Goals.
Flooding is the most frequent disaster in Indonesia, causing significant damage. Almost all areas in Indonesia experience flooding and more than 1 million households are affected on an annual basis. In order to prevent flooding, some approaches have been applied such as flood mitigation dikes and flood detention basins but these cost a lot of time and money. On the other hand, the development of flood warning systems can be implemented relatively fast with relatively low cost, and it can minimize flood-induced economic damage and also avoid fatality.
Air pollution is a severe threat to children’s health and wellbeing. Children exposed to particulate air pollution are predicted, throughout their life-course, to experience illness and neurodevelopmental issues with considerable risk to quality of life and earning potential. The pollutants may be particulate or gaseous and are emitted from a very diverse range of sources, including from various types of outdoor or indoor combustion.