A web-based system for satellite-based high-resolution global soil moisture maps

Khazaei, Morteza; Hamzeh, Saeid; Samani, Najmeh Neysani; Muhuri, Arnab; Goı̈ta, Kalifa; Weng, Qihao

doi:10.1016/j.cageo.2022.105250

Cited by 11 publications

(3 citation statements)

References 71 publications

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“…Khazaei et al [44] also used the SUS (system usability scale) method to evaluate the capabilities of the SHMS system. The SUS method is popular since it is reliable even with a few participants and has a relatively concise evaluation criterion [45].…”

Section: Methodsmentioning

confidence: 99%

Investigation of West Lake Ecotourism Capabilities Using SWOT and TOPSIS Decision-Making Methods

et al. 2023

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Using SWOT and TOPSIS models, this study aimed to determine West Lake’s potential as a tourist destination. In terms of study methodology, the current research is a descriptive survey.The TOPSIS method was used to rank strengths, weaknesses, threats, opportunities, and preferred strategies after the SWOT analysis was completed.Using a questionnaire and the Delphi method, 30 regional specialists provided research data which was collected and analyzed. Thirteen internal elements and twelve external factors affecting the West Lake tourism were identified and evaluated. Additionally, fifteen strategies were presented to improve the lake’s tourism. On the basis of the matrix of internal–external components in the SWOT model, an aggressive approach was determined to be the optimal strategic stance for West Lake. The results of the TOPSIS technique also revealed that internal strengths have a bigger impact than other elements; hence, aggressive strategies are emphasized for the growth of ecotourism in this region. Based on the results of the TOPSIS technique, the “optimal utilization of the lake’s natural, cultural, and historical potential and attractions in order to develop and attract tourists and generate jobs and revenues“ and “formulation of strategic plans to maximize potential and opportunities in order to attract tourists in all seasons of the year“ strategies were identified as the most important strategies for enhancing the West Lake tourism scenario. Therefore, it is hoped that the relevant authorities would contribute to the expansion and enhancement of the region’s economy through a focus on the vision and goals of the tourist sector and careful foresight in the implementation of these projects.

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Section: Methodsmentioning

confidence: 99%

Investigation of West Lake Ecotourism Capabilities Using SWOT and TOPSIS Decision-Making Methods

et al. 2023

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“…For example, in recent years, as atmospheric warming has led to the melting of glaciers and sea level rise has led to frequent disasters, such as floods and mudslides [2], the detection technology of remote sensing images can predict the occurrence of such disasters through the change in geographic features in the images, so as to save people's lives and properties. Furthermore, remote sensing image detection technology can also be applied to active SAR [3] and passive microwave RS [4] techniques for soil moisture detection. This technology enables the rapid and accurate identification of sensitive information in the data, thereby achieving precise detection.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8

Nie,

Pang,

et al. 2024

Sensors

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In response to the challenges posed by small objects in remote sensing images, such as low resolution, complex backgrounds, and severe occlusions, this paper proposes a lightweight improved model based on YOLOv8n. During the detection of small objects, the feature fusion part of the YOLOv8n algorithm retrieves relatively fewer features of small objects from the backbone network compared to large objects, resulting in low detection accuracy for small objects. To address this issue, firstly, this paper adds a dedicated small object detection layer in the feature fusion network to better integrate the features of small objects into the feature fusion part of the model. Secondly, the SSFF module is introduced to facilitate multi-scale feature fusion, enabling the model to capture more gradient paths and further improve accuracy while reducing model parameters. Finally, the HPANet structure is proposed, replacing the Path Aggregation Network with HPANet. Compared to the original YOLOv8n algorithm, the recognition accuracy of mAP@0.5 on the VisDrone data set and the AI-TOD data set has increased by 14.3% and 17.9%, respectively, while the recognition accuracy of mAP@0.5:0.95 has increased by 17.1% and 19.8%, respectively. The proposed method reduces the parameter count by 33% and the model size by 31.7% compared to the original model. Experimental results demonstrate that the proposed method can quickly and accurately identify small objects in complex backgrounds.

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“…However, the spatial scale (radiometer: 40 km) of the insights provided by the data from these sensors are limited for farm level (1 km or few hundred meters) agricultural management practices [2], [3]. Recent investigations indicates a growing interest towards SAR-based high-resolution soil moisture products for either downscaling the coarse-resolution passive microwave products (active-passive synergy) or solely employing data from SAR missions like Sentinel-1 and RADARSAT-2 [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture Retrieval During Crop Growth Cycle Using Satellite SAR Time Series

Muhuri,

Goïta,

Magagi

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Satellite SAR-based soil moisture retrieval over agricultural fields, under crop overlain conditions, is a challenging exercise. This is so since the overlying crop volume interacts with both the incoming and the backscattered radar signal. Therefore, the soil moisture linked solely to the top layer (0 − 5 cm) of the soil cannot be reliably retrieved under such conditions without avoiding the obscuring effect of growing crop volume. In this investigation, we demonstrated a proof of concept for a timeseries approach to retrieve soil moisture during crop growth cycle. Contrary to the use of the single-scene approach, the novelty of the proposed approach lies in exploiting the satellite SAR time-series acquired during a cropping cycle. The proposed timeseries approach is effective for capturing the nuances in the crop phenological stages while calibrating the Dubois-WCM soil moisture retrieval model. By employing this approach, we achieved the 0.04 m 3 m −3 soil moisture retrieval RMSE benchmark at a high spatial resolution and addressed the issue of solving for the Dubois-WCM model constants under data constrained conditions. Furthermore, we observed that combination of temporally nonoverlapping vegetation descriptors (optical and SAR) resulted in degradation in the performance of the retrievals and under such circumstances single polarimetric descriptors performed better.

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A web-based system for satellite-based high-resolution global soil moisture maps

Cited by 11 publications

References 71 publications

Investigation of West Lake Ecotourism Capabilities Using SWOT and TOPSIS Decision-Making Methods

Investigation of West Lake Ecotourism Capabilities Using SWOT and TOPSIS Decision-Making Methods

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8

Soil Moisture Retrieval During Crop Growth Cycle Using Satellite SAR Time Series

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