An earth observation potential evaluation model and its application to SDG indicators

Jin, Meng; Lin, Ming‐Cheng; Liu, Yufu; Bai, Yuqi

doi:10.1080/17538947.2022.2095447

Cited by 3 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the weight of ReTi should be higher in the response phase. For this goal, an appropriate weight assignment method should be adopted, and the analytic hierarchy process (AHP) [33] was selected. A more detailed illustration is elaborated in Section 2.3.…”

Section: The Weight Vectormentioning

confidence: 99%

“…ate weight assignment method should be adopted, and the analytic hierarchy proce (AHP) [33] was selected. A more detailed illustration is elaborated in Section 2.3.…”

Section: Ocem Solvingmentioning

confidence: 99%

“…Table 11 illustrates the qualitative comparative results between the OCEM and seven other methods, including the DOCI, sensor static capability index (SSCI) [25], sensor observation capability association ontology (SOCA Ontology) [58], sensor observation capability object field (SOCO-Field) [15], star sensor observation capability evaluation model (SSOCEM) [32], Earth observation potential evaluation model (EOPEM) [33], and sensor band selection method (SBSM) [11]. An overview of these methods is included in the final column of the table.…”

Section: Superiority Of Ocemmentioning

confidence: 99%

“…Liu et al [30], Zhang et al [31], and Chen et al [32] constructed a series of observation-task-oriented indicators, such as time utilization ratio and observed profit ratio, to quantitatively pre-evaluate the sensor observation capability. Jin et al [33] conducted a quantitative evaluation of the Earth observation satellite sensors' multidimensional observation capabilities (e.g., satellite orbit and spatial resolution) to assess their potential in supporting sustainable development goals. Although these studies can quantitatively pre-evaluate the sensor observation capability to some extent, they are overly generic and not optimized on the basis of the spatiotemporal characteristics of the flood event, leading to failure in the optimum sensor selection.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Observation Capability Evaluation Model for Flood-Observation-Oriented Satellite Sensor Selection

Duan,

Zhang,

Liu

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Satellite sensors are one of the most important means of collecting real-time geospatial information. Due to their characteristics such as large spatial coverage and strong capability for dynamic monitoring, they are widely used in the observation of real-time flood situation information for flood situational awareness and response. Selecting the optimum sensor is vital when multiple sensors exist. Presently, sensor selection predominantly hinges on human experience and various quantitative and qualitative evaluation methods. Yet, these methods lack optimization considering the flood’s spatiotemporal characteristics, such as different flood phases and geographical environmental factors. Consequently, they may inaccurately evaluate and select the inappropriate sensor. To address this issue, an innovative observation capability evaluation model (OCEM) is proposed to quantitatively pre-evaluate the performance of flood-water-observation-oriented satellite sensors. The OCEM selects and formulates various flood-water-observation-related capability factors and supports dynamic weight assignment considering the spatiotemporal characteristics of the flood event. An experiment involving three consecutive flood phase observation tasks was conducted. The results demonstrated the flexibility and effectiveness of the OCEM in pre-evaluating the observation capability of various satellite sensors across those tasks, accounting for the spatiotemporal characteristics of different flood phases. Additionally, qualitative and quantitative comparisons with related methods further affirmed the superiority of the OCEM. In general, the OCEM has provided a “measuring table” to optimize the selection and planning of sensors in flood management departments for acquiring real-time flood information.

show abstract

Section: The Weight Vectormentioning

confidence: 99%

“…ate weight assignment method should be adopted, and the analytic hierarchy proce (AHP) [33] was selected. A more detailed illustration is elaborated in Section 2.3.…”

Section: Ocem Solvingmentioning

confidence: 99%

Section: Superiority Of Ocemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Observation Capability Evaluation Model for Flood-Observation-Oriented Satellite Sensor Selection

Duan,

Zhang,

Liu

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The eco-environment change has been reported to bring a great impact on the earth, such as ecosystem degradation [3,4], air pollution [5,6], carbon budget [7] and so on. Therefore, the fifteenth goal of the SDGs calls for the protection, restoration, and promotion of the sustainable use of terrestrial ecosystems [8,9]. To take action for ecological sustainability, it is crucial to assess the eco-environment elaborately by understanding how it has changed over the past years.…”

Section: Introductionmentioning

confidence: 99%