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Environmental Sustainability and Technology
Research Guide
What is Environmental Sustainability and Technology?
Environmental Sustainability and Technology is the application of technological tools such as geographical information systems, remote sensing, and artificial intelligence to spatial development, environmental management, sustainable development, regional policies, economic growth, green economy, and resource management, with a focus on regions like Russia.
This field encompasses 11,415 works addressing environmental management and sustainable development through technologies like GIS and remote sensing. P.A. Burrough (1986) introduced principles of geographical information systems for land resources assessment, cited 2711 times, enabling data structures for thematic maps and spatial modeling. Bruce Campbell et al. (2017) demonstrated agriculture as a driver exceeding planetary boundaries in land-system change, freshwater use, and climate change, with 1087 citations.
Topic Hierarchy
Research Sub-Topics
GIS for Sustainable Land Resource Assessment
This sub-topic covers applications of Geographical Information Systems in evaluating land suitability, degradation, and management for sustainability. Researchers develop methodologies for spatial data integration in policy.
Remote Sensing in Crop Classification and Monitoring
Studies focus on multitemporal satellite imagery like Radarsat and Landsat for precision agriculture and yield prediction in regions like Ukraine and Russia. Emphasis is on classification accuracy and data fusion.
Social-Ecological Systems Resilience Frameworks
This area examines complex adaptive systems theory for sustainability transformations, including organizing principles and research methods. Applications span regional policies in Russia.
Regional Economic Spatial Analysis Methods
Researchers investigate spatial data configurations and statistical transformations for analyzing economic growth and disparities. Focus includes ecological ordination and regional development metrics.
Public-Private Partnerships in Green Economy
This sub-topic analyzes PPP mechanisms for financing sustainable development, resource management, and environmental projects in Russia. Studies assess efficiency, governance, and impact.
Why It Matters
Technologies in this field support precise land resources assessment and crop classification, critical for sustainable agriculture in regions like Ukraine and Russia. For instance, Sergii Skakun et al. (2015) assessed the efficiency of multitemporal C-Band Radarsat-2 and Landsat-8 imagery for crop classification in Ukraine, achieving reliable maps despite cloud cover limitations of optical data alone, with 170 citations. Public-private partnerships finance sustainable development, as shown by Bruno S. Sergi et al. (2019), providing mechanisms for green economy initiatives with 140 citations. These approaches address planetary boundaries exceeded by agriculture, per Bruce Campbell et al. (2017), impacting global biosphere integrity and climate stability.
Reading Guide
Where to Start
"Principles of geographical information systems for land resources assessment" by P.A. Burrough (1986) is the beginner start because it provides foundational data structures, analysis methods, and error handling essential for all subsequent spatial technology applications in sustainability.
Key Papers Explained
P.A. Burrough (1986) laid GIS foundations in "Principles of geographical information systems for land resources assessment," enabling spatial analysis used by Giuseppe Arbia (1989) in "Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems." Bruce Campbell et al. (2017) applied planetary boundary frameworks in "Agriculture production as a major driver of the Earth system exceeding planetary boundaries," building to Rika Preiser et al. (2018)'s adaptive systems in "Social-ecological systems as complex adaptive systems: organizing principles for advancing research methods and approaches" and Laura Pereira et al. (2018)'s designs in "Designing transformative spaces for sustainability in social-ecological systems." Sergii Skakun et al. (2015) extended remote sensing practically in crop classification.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Research emphasizes refining remote sensing for crop classification amid cloud challenges and scaling public-private financing for green economies, as in recent citations of Skakun et al. (2015) and Sergi et al. (2019). No preprints or news in the last 12 months indicate steady progress in established methods like GIS and social-ecological modeling.
Papers at a Glance
Frequently Asked Questions
What are the principles of GIS for land resources assessment?
"Principles of geographical information systems for land resources assessment" by P.A. Burrough (1986) covers data structures for thematic maps, digital elevation models, data input, verification, storage, output, methods of data analysis, spatial modeling, and error sources. It addresses data quality, natural variation, processing errors, and boundary issues. The paper has 2711 citations.
How does agriculture exceed planetary boundaries?
Agriculture drives Earth system destabilization by exceeding safe limits in nine planetary boundaries, including land-system change, freshwater use, biogeochemical flows, biosphere integrity, climate change, ocean acidification, and stratospheric ozone depletion. Bruce Campbell et al. (2017) analyzed these impacts in "Agriculture production as a major driver of the Earth system exceeding planetary boundaries," with 1087 citations. This highlights the need for sustainable practices.
What are social-ecological systems as complex adaptive systems?
Social-ecological systems function as complex adaptive systems, requiring organizing principles to advance research methods. Rika Preiser et al. (2018) outlined these in "Social-ecological systems as complex adaptive systems: organizing principles for advancing research methods and approaches," with 525 citations. The framework aids in understanding interactions for sustainability.
How is remote sensing used for crop classification in Ukraine?
Multitemporal C-Band Radarsat-2 intensity and Landsat-8 surface reflectance imagery enable efficient crop classification despite cloud cover. Sergii Skakun et al. (2015) evaluated this in "Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine," with 170 citations. It supports diverse cropping systems monitoring.
What role do public-private partnerships play in sustainable development?
Public-private partnerships serve as a financing mechanism for sustainable development projects. Bruno S. Sergi et al. (2019) examined this in "Public–Private Partnerships as a Mechanism of Financing Sustainable Development," with 140 citations. They enable resource allocation for green economy goals.
Open Research Questions
- ? How can GIS data quality and error propagation be minimized in real-time land management applications?
- ? What integration of remote sensing with AI optimizes crop monitoring under variable cloud conditions?
- ? How do social-ecological system principles guide policy for planetary boundary compliance in agriculture?
- ? Which spatial data configurations best predict regional economic growth tied to resource management?
- ? What transformative spaces designs scale sustainability transitions in regional policies?
Recent Trends
The field maintains 11,415 works with sustained citations to core papers like Burrough at 2711 and Campbell et al. (2017) at 1087, showing no 5-year growth data but persistent influence in remote sensing applications as in Skakun et al. (2015).
1986Recent citations include Virasova et al. at 142 for feature hierarchies adaptable to environmental object detection.
2021Absence of preprints or news signals focus on foundational advancements in spatial analysis and planetary boundaries.
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