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Topic Review
The Existing Remote Sensing Index Resources
Remote sensing indices are widely used in various fields of geoscience research. However, there are limits to how effectively the knowledge of indices can be managed or analyzed. One of the main problems is the lack of ontology models and research on indices, which makes it difficult to acquire and update knowledge in this area. 
  • 129
  • 18 Feb 2024
Topic Review
Fungi Remediate Soils Contaminated by War-like Activities
Fungi comprise the largest kingdom of higher organisms on the planet: eukaryotes with complex cell structures and abilities to make tissues and organs. Hyphae filaments have a rigid, complex cell wall and moving protoplasm (cytosol) divided into compartments by cross walls termed septa, allowing cellular components to move through these. The plasma membrane comprises a phospholipid bilayer associated with transmembrane proteins and ergosterol and some enzymes such as integral membrane proteins chitin synthase and glucan synthase. The release of enzymes into the extracellular environment, which many fungal species carry out, and the high contact area between filamentous fungi and the soil make these organisms promising for the degradation or immobilization of pollutants (explosives, metals, metalloids, radionuclides, and herbicides) in soil impacted by War-like activities.
  • 236
  • 17 Feb 2024
Topic Review
Driving the Ecological Transition of Agriculture
Human population growth has resulted in increased food consumption, followed by agrifood production intensification. Human activities have a significant impact on the environment, causing, among other things, air and water pollution and biodiversity degradation. In an international context where there is strong concern about environmental issues, it is also necessary to direct food production towards more sustainable models. 
  • 229
  • 14 Feb 2024
Topic Review Peer Reviewed
Optimization Examples for Water Allocation, Energy, Carbon Emissions, and Costs
The field of Water Resources Management (WRM) is becoming increasingly interdisciplinary, realizing its direct connections with energy, food, and social and economic sciences, among others. Computationally, this leads to more complex models, wherein the achievement of multiple goals is sought. Optimization processes have found various applications in such complex WRM problems. This entry considers the main factors involved in modern WRM, and puts them in a single optimization problem, including water allocation from different sources to different uses and non-renewable and renewable energy supplies, with their associated carbon emissions and costs. The entry explores the problem mathematically by presenting different optimization approaches, such as linear, fuzzy, dynamic, goal, and non-linear programming models. Furthermore, codes for each model are provided in Python, an open-source language. This entry has an educational character, and the examples presented are easily reproducible, so this is expected to be a useful resource for students, modelers, researchers, and water managers.
  • 121
  • 08 Feb 2024
Topic Review
MSGFNet for Remote Sensing Image Change Detection
Change detection (CD) stands out as a pivotal yet challenging task in the interpretation of remote sensing images. Significant developments have been witnessed, particularly with the rapid advancements in deep learning techniques. Nevertheless, challenges such as incomplete detection targets and unsmooth boundaries remain as most CD methods suffer from ineffective feature fusion.
  • 131
  • 08 Feb 2024
Topic Review
The Development of Biogas Plants
Agricultural biogas plants have a long history, beginning with early advancements in biogas technology and its application in agricultural contexts. Throughout history, several societies have used organic waste to make biogas, a renewable energy source. However, modern agricultural biogas plants as we know them today have changed greatly as a result of scientific and technological advances.
  • 358
  • 07 Feb 2024
Topic Review
Application of Machine Learning for Runoff Prediction
Water resource modeling is an important means of studying the distribution, change, utilization, and management of water resources. By establishing various models, water resources can be quantitatively described and predicted, providing a scientific basis for water resource management, protection, and planning. Traditional hydrological observation methods, often reliant on experience and statistical methods, are time-consuming and labor-intensive, frequently resulting in predictions of limited accuracy. However, machine learning technologies enhance the efficiency and sustainability of water resource modeling by analyzing extensive hydrogeological data, thereby improving predictions and optimizing water resource utilization and allocation.
  • 203
  • 07 Feb 2024
Topic Review
Detection Principles of Mars Orbital Radars
The planet Mars, which is in the habitable zone of the solar system and is one of the closest planets to Earth, stands in contrast to Venus; therefore, it has attracted much attention and exploration as the most likely planet for future human colonization. 
  • 169
  • 07 Feb 2024
Topic Review
Catch and Cover Crop Biomass Bioconversion into Energy
Catch and cover crops are defined as crops sown in pure or mixed sowings between two main crops. A short vegetation period is a key feature of these plants.
  • 211
  • 07 Feb 2024
Topic Review
Green Materials in Sustainable Urban Planning
Urban green planning is crucial in promoting sustainable urban ecosystems through the mindful use of vegetation, but few approaches are currently able to account for the ecosystem services provided by urban green planning in ex ante planning applications. Indeed, by estimating the functions exerted by different vegetation elements in urban ecosystems through a purposely developed set of equations, the procedure allows for the optimization of the development of urban plans by maximizing the contribution of vegetation to ecosystem dynamics. Specifically, the proposed methodology is articulated in two phases, i.e., the functional role of vegetation is firstly modeled through simple geometric features and specific ecological traits accounting for plant interactions with the environment, and then the selected vegetation traits are used in guiding the choice of the species. The approach has been exemplified through case studies, thereby highlighting its ability to guide planning decisions based on the type, abundance, and spatial organization of vegetation to promote the sustainability of urban development.
  • 159
  • 06 Feb 2024
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