Measuring the Impact of Monitoring: How We Know Transparent Near-Real-Time Data Can Help Save the Forests

Shea, Katherine M.

doi:10.1007/978-3-030-78853-7_18

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…EOSDIS, a NASA initiative, employs IT to manage and distribute Earth science data for global research. It facilitates international collaboration in studying climate patterns, environmental changes, and their implications for sustainable management (Shea, 2022, Tabor & Connell, 2019. IT plays a pivotal role in the reporting and monitoring systems established by UNFCCC.…”

Section: Global Collaboration and Knowledge Sharingmentioning

confidence: 99%

The role of IT in sustainable environmental management: A global perspective review

Ayodeji Abatan,

Mojisola Abimbola Adeyinka,

Enoch Oluwademilade Sodiya

et al. 2024

Int. J. Sci. Res. Arch.

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This review offers a comprehensive overview of the intricate relationship between Information Technology (IT) and sustainable environmental management on a global scale. As the world grapples with environmental challenges, understanding the pivotal role of IT in fostering sustainability becomes increasingly imperative. The review begins by acknowledging the pressing environmental issues faced globally, including climate change, resource depletion, and biodiversity loss. It highlights the potential of IT to serve as a transformative force in addressing these challenges and fostering sustainable practices across various industries. The review explores how IT contributes to environmental sustainability through improved monitoring, data collection, and analysis. It delves into the role of technologies such as Internet of Things (IoT) devices, sensors, and satellite imaging in providing real-time environmental data. This information enables better decision-making, resource management, and the implementation of eco-friendly practices. Furthermore, the review examines the role of IT in promoting energy efficiency and reducing carbon footprints. It discusses the adoption of smart grids, energy management systems, and sustainable software solutions that contribute to optimizing energy consumption and reducing environmental impact. The review also explores the concept of "green IT," emphasizing the importance of adopting environmentally friendly practices in the design, production, and disposal of IT equipment. It discusses initiatives aimed at minimizing electronic waste and promoting the circular economy within the IT industry. Additionally, the global perspective of the review sheds light on how IT facilitates collaboration and knowledge sharing among nations and organizations. The review underlines the significance of international cooperation in leveraging IT for sustainable environmental management, emphasizing the role of technology in achieving global environmental goals. In conclusion, this review underscores the multifaceted role of IT in promoting sustainable environmental management globally. It emphasizes the transformative potential of IT in addressing environmental challenges, fostering innovation, and driving collaborative efforts towards a more sustainable and resilient future.

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Section: Global Collaboration and Knowledge Sharingmentioning

confidence: 99%

The role of IT in sustainable environmental management: A global perspective review

Ayodeji Abatan,

Mojisola Abimbola Adeyinka,

Enoch Oluwademilade Sodiya

et al. 2024

Int. J. Sci. Res. Arch.

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“…Рассмотрим наиболее интересные из них. Global Forest Watch [10] -портал для отслеживания состояния лесного покрова в планетарных масштабах. Данные с космоснимков и алгоритмы машинного обучения используются для мониторинга и управления лесами, выявления незаконной вырубки, обнаружения пожаров и в целом обеспечения устойчивого развития.…”

Section: интересные проектыunclassified

Google Earth Engine and machine learning for Earth monitoring

Uzhinskiy¹

2022

Proceedings of the 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)

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Hyperspectral images are a unique source for obtaining many kinds of information about the Earth's surface. Modern platforms support users to perform complex analyses with a collection of images without the use of any specialized software. Google Earth Engine (GEE) is a planetaryscale platform for Earth science data & analysis. Atmospheric, radiometric and geometric corrections have been made on number of image collections at GEE. While working with row data, it is possible to use build-in GEE function to filter data and create composites to get cloud score threshold and the percentile. It is also possible to use custom algorithms for atmospheric corrections. There are over 200 satellite image collections and modeled datasets. Some collections have a spatial resolution of up to 10 meters. GEE has the JavaScript online editor to create and verify code and Python API for advanced applications. All that made GEE very convenient tool for different Earth monitoring projects. Over the last decades there has been considerable progress in developing a machine learning methodology for a variety of Earth Science applications involving trace gases, retrievals, aerosol products, land surface products, vegetation indices, fire and flood tracking, ocean applications, and many others. In this report, we will review basic GEE functions and practice, some examples of successful applications, and our experience in environmental monitoring.

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Dynamics of forest stands changes on the territory of Skole Beskydy National Nature Park

Adamenko,

Kachala,

Chernysh

2023

esbur

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The relevance of the study is determined by the issue of assessing the condition and utilization of forest cover within the territory of the Skole Beskydy National Nature Park, as well as the necessity to develop effective methods for monitoring and conserving forest ecosystems. The purpose of the study was to investigate the dynamics of forest cover changes within the Skole Beskydy National Nature Park, as well as to assess the losses of forest resources in this area and recommend the obtained series of images to enhance the forest management system. The research was conducted using a comprehensive approach combining various methods of studying forest cover changes and their comparison. The basis for applying remote sensing technologies was the use of specific multispectral satellite images combined with attribute information on forest land geospatial data. The most progressive methods of studying changes in forest plantations based on remote sensing data using geographic information systems have been demonstrated. Satellite images were obtained from the Landsat 8 satellite data set through the United States Geological Survey data portal. The normalized burn ratio and normalized difference vegetation index are calculated and compared. An analysis was also carried out using the Global Forest Watch online resource. As a result of the study, changes in forest cover were identified, an assessment of the changes was provided, and a map reflecting forest changes that occurred in the Skole Beskydy National Nature Park from 2000 to 2020 was developed. According to the results of the analysis, a low level of losses of forest plantations due to natural factors, including losses from fires, was established. The main part of forest losses is caused by anthropogenic factors. The practical significance of the results lies in the possibility of using the obtained series of images within public control and improving the forest management system

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Measuring the Impact of Monitoring: How We Know Transparent Near-Real-Time Data Can Help Save the Forests

Cited by 3 publications

References 7 publications

The role of IT in sustainable environmental management: A global perspective review

The role of IT in sustainable environmental management: A global perspective review

Google Earth Engine and machine learning for Earth monitoring

Dynamics of forest stands changes on the territory of Skole Beskydy National Nature Park

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