The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177504 - 177504
Published: Nov. 15, 2024
Language: Английский
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(7), P. 1139 - 1139
Published: March 25, 2024
One of the greatest challenges our time is monitoring rapid environmental changes taking place worldwide at both local and global scales. This requires easy-to-use ready-to-implement tools services to monitor quantify aspects bio- geodiversity change impact land use intensification using freely available remotely sensed data, derive indicators. Currently, there are no for quantifying raster- vector-based indicators in a “compact tool”. Therefore, main innovation ESIS/Imalys having remote sensing (RS) tool that allows RS data processing, management, continuous discrete quantification derivation one tool. With project (Ecosystem Integrity Remote Sensing—Modelling Service Tool), we try present on clearly defined reproducible basis. The Imalys software library generates products ESIS. paper provides an overview functionality library. An technical background implementation library, formats user interfaces given. Examples RS-based derived pixel level zone (vector level) presented. Furthermore, advantages disadvantages discussed detail order better assess value users developers. applicability will be demonstrated through three ecological applications, namely: (1) landscape diversity, (2) structure fragmentation, (3) intensity its ecosystem functions. Despite integration large amounts can run any PC, as processing has been greatly optimised. source code hosted maintained under open license. Complete documentation all methods, functions found manual. user-friendliness Imalys, despite amount makes it another important research, modelling application from scale.
Language: Английский
Citations
6
Sensors, Journal Year: 2025, Volume and Issue: 25(1), P. 228 - 228
Published: Jan. 3, 2025
Recent advancements in Earth Observation sensors, improved accessibility to imagery and the development of corresponding processing tools have significantly empowered researchers extract insights from Multisource Remote Sensing. This study aims use these technologies for mapping summer winter Land Use/Land Cover features Cuenca de la Laguna Merín, Uruguay, while comparing performance Random Forests, Support Vector Machines, Gradient-Boosting Tree classifiers. The materials include Sentinel-2, Sentinel-1 Shuttle Radar Topography Mission imagery, Google Engine, training validation datasets quoted methods involve creating a multisource database, conducting feature importance analysis, developing models, supervised classification performing accuracy assessments. Results indicate low significance microwave inputs relative optical features. Short-wave infrared bands transformations such as Normalised Vegetation Index, Surface Water Index Enhanced demonstrate highest importance. Accuracy assessments that various classes is optimal, particularly rice paddies, which play vital role country’s economy highlight significant environmental concerns. However, challenges persist reducing confusion between classes, regarding natural vegetation versus seasonally flooded vegetation, well post-agricultural fields/bare land herbaceous areas. Forests Trees exhibited superior compared Machines. Future research should explore approaches Deep Learning pixel-based object-based integration address identified challenges. These initiatives consider data combinations, including additional indices texture metrics derived Grey-Level Co-Occurrence Matrix.
Language: Английский
Citations
0
Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133250 - 133250
Published: April 1, 2025
Language: Английский
Citations
0
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112396 - 112396
Published: July 24, 2024
Language: Английский
Citations
2
Land Degradation and Development, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 16, 2024
ABSTRACT High‐quality development in agriculture is crucial for maintaining the harmonious balance between human society and natural environment, promoting this model one of key measures to alleviate land degradation issues. This study, grounded PRED theory (Population, Resources, Environment, Development theory) framework, establishes an evaluation system high‐quality agricultural by selecting 128 cities within Yangtze River Economic Belt as its samples. It quantifies carrying capacity, utilizes Stochastic Frontier Analysis (SFA) assess production efficiency, applies Tapio decoupling analyze interplay these two factors. The results reveal that resource index has risen from 1.245 1.70, indicating escalating tension population food resources. Furthermore, efficiency seen a 16.56% increase, reflecting positive advancements across region. Spatial distribution analysis shows standard deviation ellipse concentrated mid lower reaches, centered Changde, Hunan, expanding westward, with broader coverage area perimeter. Additionally, relationship capacity primarily manifests three forms: strong negative decoupling, weak expansive decoupling. research offers significant insights effectively mitigating strain growth resource‐environmental capacity.
Language: Английский
Citations
1
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 372, P. 123361 - 123361
Published: Nov. 18, 2024
Language: Английский
Citations
1
Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 57, P. 102106 - 102106
Published: Dec. 9, 2024
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175450 - 175450
Published: Aug. 10, 2024
Language: Английский
Citations
0
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177504 - 177504
Published: Nov. 15, 2024
Language: Английский
Citations
0