Yancang Wang
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View article: Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery
Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery Open
Dissolved oxygen (DO) is an important indicator of the water health of the freshwater aquaculture pond. However, since DO is a non-photosensitive parameter, it is difficult to directly inverse using UAV imaging technology. We proposed an e…
View article: Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction
Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction Open
Dissolved organic matter (DOM) is a critical indicator of aquatic environmental quality, and its concentration affects the quality of aquaculture products. Integrating unmanned aerial vehicle (UAV)-based multispectral data with machine lea…
View article: Remote Sensing Dissolved Organic Matter in Freshwater Aquaculture Ponds by the Integration of UAV and Satellite Multispectral Images
Remote Sensing Dissolved Organic Matter in Freshwater Aquaculture Ponds by the Integration of UAV and Satellite Multispectral Images Open
Dissolved organic matter (DOM) is a pivotal indicator for assessing aquatic health and ecological functions. Monitoring DOM in aquaculture ponds using satellite requires validation through field measured samples. However, due to the inhere…
View article: Monitoring of Dissolved Oxygen Dynamics in Freshwater Aquaculture Ponds Using Multi-Spectral Imaging from Uav
Monitoring of Dissolved Oxygen Dynamics in Freshwater Aquaculture Ponds Using Multi-Spectral Imaging from Uav Open
View article: Estimating water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images
Estimating water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images Open
UAV imaging technology has become one of the means to quickly monitor water quality parameters in freshwater aquaculture ponds. The change of sunlight during a long flight affects the quality of UAV images, which will reduce the accuracy o…
View article: Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images
Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images Open
Monitoring water quality is crucial for water exchange, precise feeding, and quality control of water products in freshwater aquaculture. In light of the issue of spatial heterogeneity in freshwater aquaculture pond waters and the constrai…
View article: Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images
Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images Open
View article: Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images
Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images Open
View article: Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN
Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN Open
The North China Plain is an important area for agricultural economic development in China. But water shortages, severe groundwater over-exploitation and drought problems make it difficult to exercise the topographic resource advantages of …
View article: Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters
Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters Open
This paper presents an autonomous unmanned-aerial-vehicle (UAV) tracking system based on an improved long and short-term memory (LSTM) Kalman filter (KF) model. The system can estimate the three-dimensional (3D) attitude and precisely trac…
View article: Monitoring Maize Lodging Severity Based on Multi-Temporal Sentinel-1 Image Used Time-Weighted Dynamic Time Warping
Monitoring Maize Lodging Severity Based on Multi-Temporal Sentinel-1 Image Used Time-Weighted Dynamic Time Warping Open
View article: Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China
Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China Open
Soil moisture is one of the most critical elements of the Earth system and is essential for the study of the terrestrial water cycle, ecological processes, climate change, and disaster warnings. In this study, the training sample was selec…
View article: Application of maximum likelihood classification Based on minimal risk in crop interpretation
Application of maximum likelihood classification Based on minimal risk in crop interpretation Open
In crop interpretation by remote sensing, Gray distribution of crop is overlapped in some intervals.The non-target crops fall into the target crop, which would greatly increase the workload in post classification.To reduce these classifica…