NSTL国家科技图书文献中心

1. Deep reinforcement learning for Agile Earth Observation Satellites scheduling problem with variable image duration NSTL国家科技图书文献中心

Wang, Man | Zhou, Zhongbao ... - 《Applied Soft Computing》 - 2025,169 - 共10页

摘要：The Agile Earth* Observation Satellites (AEOS* | ), including IDRL based on optimal observation* quality (IDRL* | -MQ) and IDRL based on the longest observation | and duration of observation. The experimental | ) possess active imaging capabilities, which enable

关键词： Combinatorial optimization | Deep reinforcement learning | Agile Earth Observation Satellites | Variable image duration | Attention mechanism

2. Assessing El Niño-induced drought in Zambia and its effects using earth observation data NSTL国家科技图书文献中心

Surajit,Ghosh | Sneha,Kour ... - 《Natural Hazards》 - 2025,121(4) - 4505～4530 - 共26页

摘要： power of open access Earth* Observation data and cloud* | Abstract Southern Africa faces significant | impacts of El Niño primarily in the form of droughts | . Zambia is not an exception. Standardized Precipitation | Index (SPI), rainfall anomaly and Vegetation Condition

关键词： El Niño | Drought assessment | Hydropower | Zambia | Earth observation | Cloud platform

3. Design and on-orbit performance evaluation of Ethiopian earth observation satellite multispectral optical imaging payload NSTL国家科技图书文献中心

Gadisa, Dinaol | Tafes, Eshet - 《Optics & Laser Technology》 - 2025,181(Pt.A) - 共14页

摘要：The Ethiopian Earth* observation micro* | -satellite was successfully launched into a sun-synchronous | orbit equipped with an optical multispectral imaging | payload system. This optical multispectral imaging | payload camera weighs 1.4 kg with four spectral bands

关键词： Calibration | Data analysis | Earth observation | Image quality | Multispectral | Optical imaging design | Optomechanical | On-orbit performance | Spacecraft payload

4. Earth observation satellite imaging task scheduling with metaheuristics: Multi-level clustering and priority-driven pre-scheduling NSTL国家科技图书文献中心

Galloua, Mohamed Ela... | Li, Shuai ... - 《Advances in Space Research》 - 2025,75(3) - 2929～2953 - 共25页

摘要：Daily planning and scheduling of Agile Earth | Observation Satellite (AEOS) observation tasks are | for observation* tasks at the lowest cluster level* | enormously challenging due to their inherent complexity | . This complexity stems from the vast number of

关键词： Agile Earth Observation Satellite | Planning and Scheduling | Multi-Level Clustering | Fixed High-Priority First | Tasks Pre-scheduling | Metaheuristic Algorithm

5. Quick Unsupervised Hyperspectral Dimensionality Reduction for Earth Observation: A Comparison NSTL国家科技图书文献中心

Daniela Lupu | Joseph L. Garrett ... - 《IEEE transactions on computational imaging》 - 2025,11 - 520～535 - 共16页

摘要： on hyperspectral data from the HYPSO-1 earth | observation satellite. Each particular algorithm is chosen | Dimensionality reduction can be applied to | hyperspectral images so that the most useful data can be | extracted and processed more quickly. This is critical in

关键词： Principal component analysis | Dimensionality reduction | Classification algorithms | Hyperspectral imaging | Object detection | Covariance matrices | Matrix decomposition | Image reconstruction | Accuracy | Pipelines

6. Earth Observation Based Characterization of Environmental Conditions for Forest Fire Risk in Western Himalayan Ecosystems Using Machine Learning Approach NSTL国家科技图书文献中心

Kumari, Shanti | Mamgain, Shailja ... - 《Journal of the Indian Society of Remote Sensing》 - 2025,53(1) - 307～318 - 共12页

摘要： from satellite data in Google Earth* Engine (GEE) and* | The increased frequency and intensity of | forest fires have necessitated the characterization and | evaluation of factors influencing fire occurrences in the | Western Himalaya, which is essential for managing and

关键词： Forest fire risk | Environmental anomalies | Western Himalaya | Earth observation | Machine learning

7. A Reinforcement Learning-Enhanced Dung Beetle Optimization Approach for Agile Earth Observation Satellite Scheduling NSTL国家科技图书文献中心

Weiquan Huang | He Wang ... - 《IEEE geoscience and remote sensing letters》 - 2025,22 - 1～5 - 共5页

摘要： sensing imaging products, the agile Earth observation | efficiency and effectiveness of agile Earth observation | Due to the increasing demand for remote | satellite scheduling problem (AEOSSP) has garnered | significant attention. In response, this letter proposes a

关键词： Satellites | Earth | Scheduling | Optimization | Processor scheduling | Planetary orbits | Heuristic algorithms | Metaheuristics | Linear programming | Uncertainty

8. The Next Era for Earth Observation Spacecraft: An Overview of CogniSAT-6 NSTL国家科技图书文献中心

David Rijlaarsdam | Tom Hendrix ... - 《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 2450～2463 - 共14页

摘要：Earth Observation (EO) spacecraft plays a | life on Earth. Historically, these systems have | pivotal role in various critical applications impacting | adhered to conventional operational paradigms, namely | the mow-the-lawn and bent pipe approaches. In these

关键词： Space vehicles | Real-time systems | Payloads | CubeSat | Artificial intelligence | Hyperspectral imaging | Earth | Systems architecture | Ethics | Pipelines

9. Spatiotemporal monitoring of post-fire soil erosion rates using earth observation (EO) data and cloud computing NSTL国家科技图书文献中心

Stefanidis, Stefanos... | Proutsos, Nikolaos D...... - 《Natural Hazards》 - 2025,121(3) - 2873～2894 - 共22页

摘要： (RUSLE) and Earth* Observation (EO) data coupled with* | Google Earth* Engine (GEE) were used to quantify the* | This research addressed on the crucial concern | of soil erosion in the post-fire Mediterranean | landscapes, regarding disastrous wildfires in Greece during

关键词： RUSLE | Wildfires | Mediterranean landscape | Vegetation recovery | Sentinel-2; Era5-land; restoration works

10. A generalized bilevel optimization model for large-scale task scheduling in multiple agile earth observation satellites NSTL国家科技图书文献中心

Chen J. | Wang F.... - 《Knowledge-based systems》 - 2025,309(Jan.30) - 1.1～1.24 - 共24页

摘要： tasks within a multi-agile earth* observation satellite* | © 2024 Elsevier B.V.Scheduling large-scale | system poses a formidable challenge. Given the | complexity of this optimization problem, the responding | solving strategy should exhibit both efficiency and

摘要：The Agile Earth* Observation Satellites (AEOS* | ), including IDRL based on optimal observation* quality (IDRL* | -MQ) and IDRL based on the longest observation | and duration of observation. The experimental | ) possess active imaging capabilities, which enable

关键词： Combinatorial optimization | Deep reinforcement learning | Agile Earth Observation Satellites | Variable image duration | Attention mechanism

摘要： power of open access Earth* Observation data and cloud* | Abstract Southern Africa faces significant | impacts of El Niño primarily in the form of droughts | . Zambia is not an exception. Standardized Precipitation | Index (SPI), rainfall anomaly and Vegetation Condition

关键词： El Niño | Drought assessment | Hydropower | Zambia | Earth observation | Cloud platform

摘要：The Ethiopian Earth* observation micro* | -satellite was successfully launched into a sun-synchronous | orbit equipped with an optical multispectral imaging | payload system. This optical multispectral imaging | payload camera weighs 1.4 kg with four spectral bands

关键词： Calibration | Data analysis | Earth observation | Image quality | Multispectral | Optical imaging design | Optomechanical | On-orbit performance | Spacecraft payload

摘要：Daily planning and scheduling of Agile Earth | Observation Satellite (AEOS) observation tasks are | for observation* tasks at the lowest cluster level* | enormously challenging due to their inherent complexity | . This complexity stems from the vast number of

关键词： Agile Earth Observation Satellite | Planning and Scheduling | Multi-Level Clustering | Fixed High-Priority First | Tasks Pre-scheduling | Metaheuristic Algorithm

摘要： on hyperspectral data from the HYPSO-1 earth | observation satellite. Each particular algorithm is chosen | Dimensionality reduction can be applied to | hyperspectral images so that the most useful data can be | extracted and processed more quickly. This is critical in

关键词： Principal component analysis | Dimensionality reduction | Classification algorithms | Hyperspectral imaging | Object detection | Covariance matrices | Matrix decomposition | Image reconstruction | Accuracy | Pipelines

摘要： from satellite data in Google Earth* Engine (GEE) and* | The increased frequency and intensity of | forest fires have necessitated the characterization and | evaluation of factors influencing fire occurrences in the | Western Himalaya, which is essential for managing and

关键词： Forest fire risk | Environmental anomalies | Western Himalaya | Earth observation | Machine learning

摘要： sensing imaging products, the agile Earth observation | efficiency and effectiveness of agile Earth observation | Due to the increasing demand for remote | satellite scheduling problem (AEOSSP) has garnered | significant attention. In response, this letter proposes a

关键词： Satellites | Earth | Scheduling | Optimization | Processor scheduling | Planetary orbits | Heuristic algorithms | Metaheuristics | Linear programming | Uncertainty

摘要：Earth Observation (EO) spacecraft plays a | life on Earth. Historically, these systems have | pivotal role in various critical applications impacting | adhered to conventional operational paradigms, namely | the mow-the-lawn and bent pipe approaches. In these

关键词： Space vehicles | Real-time systems | Payloads | CubeSat | Artificial intelligence | Hyperspectral imaging | Earth | Systems architecture | Ethics | Pipelines

摘要： (RUSLE) and Earth* Observation (EO) data coupled with* | Google Earth* Engine (GEE) were used to quantify the* | This research addressed on the crucial concern | of soil erosion in the post-fire Mediterranean | landscapes, regarding disastrous wildfires in Greece during

关键词： RUSLE | Wildfires | Mediterranean landscape | Vegetation recovery | Sentinel-2; Era5-land; restoration works

摘要： tasks within a multi-agile earth* observation satellite* | © 2024 Elsevier B.V.Scheduling large-scale | system poses a formidable challenge. Given the | complexity of this optimization problem, the responding | solving strategy should exhibit both efficiency and

关键词： Bilevel optimization | Evolutionary algorithms | Large-scale scheduling | Reinforcement learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：The Agile Earth Observation Satellites (AEOS | ), including IDRL based on optimal observation quality (IDRL | -MQ) and IDRL based on the longest observation | and duration of observation. The experimental | ) possess active imaging capabilities, which enable

关键词： Combinatorial optimization | Deep reinforcement learning | Agile Earth Observation Satellites | Variable image duration | Attention mechanism

摘要： power of open access Earth Observation data and cloud | Abstract Southern Africa faces significant | impacts of El Niño primarily in the form of droughts | . Zambia is not an exception. Standardized Precipitation | Index (SPI), rainfall anomaly and Vegetation Condition

关键词： El Niño | Drought assessment | Hydropower | Zambia | Earth observation | Cloud platform

摘要：The Ethiopian Earth observation micro | -satellite was successfully launched into a sun-synchronous | orbit equipped with an optical multispectral imaging | payload system. This optical multispectral imaging | payload camera weighs 1.4 kg with four spectral bands

关键词： Calibration | Data analysis | Earth observation | Image quality | Multispectral | Optical imaging design | Optomechanical | On-orbit performance | Spacecraft payload

摘要：Daily planning and scheduling of Agile Earth | Observation Satellite (AEOS) observation tasks are | for observation tasks at the lowest cluster level | enormously challenging due to their inherent complexity | . This complexity stems from the vast number of

关键词： Agile Earth Observation Satellite | Planning and Scheduling | Multi-Level Clustering | Fixed High-Priority First | Tasks Pre-scheduling | Metaheuristic Algorithm

摘要： on hyperspectral data from the HYPSO-1 earth | observation satellite. Each particular algorithm is chosen | Dimensionality reduction can be applied to | hyperspectral images so that the most useful data can be | extracted and processed more quickly. This is critical in

关键词： Principal component analysis | Dimensionality reduction | Classification algorithms | Hyperspectral imaging | Object detection | Covariance matrices | Matrix decomposition | Image reconstruction | Accuracy | Pipelines

摘要： from satellite data in Google Earth Engine (GEE) and | The increased frequency and intensity of | forest fires have necessitated the characterization and | evaluation of factors influencing fire occurrences in the | Western Himalaya, which is essential for managing and

关键词： Forest fire risk | Environmental anomalies | Western Himalaya | Earth observation | Machine learning

摘要： sensing imaging products, the agile Earth observation | efficiency and effectiveness of agile Earth observation | Due to the increasing demand for remote | satellite scheduling problem (AEOSSP) has garnered | significant attention. In response, this letter proposes a

关键词： Satellites | Earth | Scheduling | Optimization | Processor scheduling | Planetary orbits | Heuristic algorithms | Metaheuristics | Linear programming | Uncertainty

摘要：Earth Observation (EO) spacecraft plays a | life on Earth. Historically, these systems have | pivotal role in various critical applications impacting | adhered to conventional operational paradigms, namely | the mow-the-lawn and bent pipe approaches. In these

关键词： Space vehicles | Real-time systems | Payloads | CubeSat | Artificial intelligence | Hyperspectral imaging | Earth | Systems architecture | Ethics | Pipelines

摘要： (RUSLE) and Earth Observation (EO) data coupled with | Google Earth Engine (GEE) were used to quantify the | This research addressed on the crucial concern | of soil erosion in the post-fire Mediterranean | landscapes, regarding disastrous wildfires in Greece during

关键词： RUSLE | Wildfires | Mediterranean landscape | Vegetation recovery | Sentinel-2; Era5-land; restoration works

摘要： tasks within a multi-agile earth observation satellite | © 2024 Elsevier B.V.Scheduling large-scale | system poses a formidable challenge. Given the | complexity of this optimization problem, the responding | solving strategy should exhibit both efficiency and

关键词： Bilevel optimization | Evolutionary algorithms | Large-scale scheduling | Reinforcement learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：The Agile Earth* Observation Satellites (AEOS* | ), including IDRL based on optimal observation* quality (IDRL* | -MQ) and IDRL based on the longest observation | and duration of observation. The experimental | ) possess active imaging capabilities, which enable

摘要： power of open access Earth* Observation data and cloud* | Abstract Southern Africa faces significant | impacts of El Niño primarily in the form of droughts | . Zambia is not an exception. Standardized Precipitation | Index (SPI), rainfall anomaly and Vegetation Condition

摘要：The Ethiopian Earth* observation micro* | -satellite was successfully launched into a sun-synchronous | orbit equipped with an optical multispectral imaging | payload system. This optical multispectral imaging | payload camera weighs 1.4 kg with four spectral bands

摘要：Daily planning and scheduling of Agile Earth | Observation Satellite (AEOS) observation tasks are | for observation* tasks at the lowest cluster level* | enormously challenging due to their inherent complexity | . This complexity stems from the vast number of

摘要： from satellite data in Google Earth* Engine (GEE) and* | The increased frequency and intensity of | forest fires have necessitated the characterization and | evaluation of factors influencing fire occurrences in the | Western Himalaya, which is essential for managing and

摘要： (RUSLE) and Earth* Observation (EO) data coupled with* | Google Earth* Engine (GEE) were used to quantify the* | This research addressed on the crucial concern | of soil erosion in the post-fire Mediterranean | landscapes, regarding disastrous wildfires in Greece during

摘要： tasks within a multi-agile earth* observation satellite* | © 2024 Elsevier B.V.Scheduling large-scale | system poses a formidable challenge. Given the | complexity of this optimization problem, the responding | solving strategy should exhibit both efficiency and