Cuizhen Wang
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View article: A GAN-enhanced deep learning framework for rooftop detection from historical aerial imagery
A GAN-enhanced deep learning framework for rooftop detection from historical aerial imagery Open
Precise detection of rooftops from historical aerial imagery is essential for analyzing long-term urban development and human settlement patterns. Nonetheless, black-and-white analog photographs present considerable challenges for modern o…
View article: Aerial Imagery and Surface Water and Ocean Topography for High-Resolution Mapping for Water Availability Assessments of Small Waterbodies on the Coast
Aerial Imagery and Surface Water and Ocean Topography for High-Resolution Mapping for Water Availability Assessments of Small Waterbodies on the Coast Open
Surface water is the primary freshwater supply for Earth. Small lakes and ponds provide important ecological and economic services to society but are often left undocumented, or their documentation is outdated, due to their small sizes and…
View article: A Lidar Biomass Index of Tidal Marshes from Drone Lidar Point Cloud
A Lidar Biomass Index of Tidal Marshes from Drone Lidar Point Cloud Open
Accompanying climate change and sea level rise, tidal marsh mortality in coastal wetlands has been globally observed that urges the documentation of high-resolution, 3D marsh inventory to assist resilience planning. Drone Lidar has proven …
View article: Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope
Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope Open
Predicting the hydrological response of watersheds to climate disturbances requires a detailed understanding of the processes connecting hillslopes and streams. Using a network of soil moisture and temperature sensors, electrical resistivi…
View article: Suaeda salsa in Relation to Hydrological Connectivity: From the View of Plant Trait Networks
Suaeda salsa in Relation to Hydrological Connectivity: From the View of Plant Trait Networks Open
How plant traits respond to environment changes has been given more concerns worldwide. However, it is hard to reveal the integrative responses of plants only based on independent plant traits without considering the close links among plan…
View article: High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning
High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning Open
Permafrost soils are a critical component of the global carbon cycle and are locally important because they regulate the hydrologic flux from uplands to rivers. Furthermore, degradation of permafrost soils causes land surface subsidence, d…
View article: Drone Lidar Deep Learning for Fine-Scale Bare Earth Surface and 3D Marsh Mapping in Intertidal Estuaries
Drone Lidar Deep Learning for Fine-Scale Bare Earth Surface and 3D Marsh Mapping in Intertidal Estuaries Open
Tidal marshes are dynamic environments providing important ecological and economic services in coastal regions. With accelerating climate change and sea level rise (SLR), marsh mortality and wetland conversion have been observed on global …
View article: Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements
Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements Open
Assessing the lateral and vertical extent of permafrost is critical to understanding the fate of Arctic ecosystems under climate change. Yet, direct measurements of permafrost distribution and temperature are often limited to a small numbe…
View article: The Dynamic Nature of Wrack: An Investigation into Wrack Movement and Impacts on Coastal Marshes Using sUAS
The Dynamic Nature of Wrack: An Investigation into Wrack Movement and Impacts on Coastal Marshes Using sUAS Open
This study investigates the use of small unoccupied aerial systems (sUAS) as a new remote sensing tool to identify and track the spatial distribution of wrack on coastal tidal marsh systems. We used sUAS to map the wrack movement in a Spar…
View article: Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits Open
Permafrost soils store more than one fourth of global soil organic carbon. This important carbon pool is threatened by carbon release from permafrost thawing. Especially in sub-Arctic transition zones, accurate mapping of permafrost is cru…
View article: Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China Open
Revealing the patterns and influencing mechanisms of spatial and temporal distribution of rural settlements is crucial for rural revitalization and sustainable development. However, our limited understanding of the rural settlements in Chi…
View article: Off-peak NDVI correction to reconstruct Landsat time series for post-fire recovery in high-latitude forests
Off-peak NDVI correction to reconstruct Landsat time series for post-fire recovery in high-latitude forests Open
Collecting long-term satellite image series in high latitudes has been challenging due to its short growing season. For off-peak imagery, its reflective properties need to be corrected to maintain the spectral consistency. This study compa…
View article: Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study
Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study Open
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of app…
View article: Unmanned aerial remote sensing of coastal vegetation: A review
Unmanned aerial remote sensing of coastal vegetation: A review Open
Coastal wetlands contribute greatly to our coasts economically and ecologically. The utility of coastal wetland vegetation, along with the multitude of dynamic forces they encounter, suggests the need of regular monitoring for sustainable …
View article: At-Sensor Radiometric Correction of a Multispectral Camera (RedEdge) for sUAS Vegetation Mapping
At-Sensor Radiometric Correction of a Multispectral Camera (RedEdge) for sUAS Vegetation Mapping Open
Rapid advancement of drone technology enables small unmanned aircraft systems (sUAS) for quantitative applications in public and private sectors. The drone-mounted 5-band MicaSense RedEdge cameras, for example, have been popularly adopted …
View article: Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study
Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study Open
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments in comparison with the popularly applied…
View article: Gap-Filling of 8-Day Terra MODIS Daytime Land Surface Temperature in High-Latitude Cold Region with Generalized Additive Models (GAM)
Gap-Filling of 8-Day Terra MODIS Daytime Land Surface Temperature in High-Latitude Cold Region with Generalized Additive Models (GAM) Open
Land surface temperature (LST) is a crucial parameter driving the dynamics of the thermal state on land surface. In high-latitude cold region, a long-term, stable LST product is of great importance in examining the distribution and degrada…
View article: RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System
RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System Open
Coastal tidal marshes are essential ecosystems for both economic and ecological reasons. They necessitate regular monitoring as the effects of climate change begin to be manifested in changes to marsh vegetation healthiness. Small unmanned…
View article: sUAS for 3D Tree Surveying: Comparative Experiments on a Closed-Canopy Earthen Dam
sUAS for 3D Tree Surveying: Comparative Experiments on a Closed-Canopy Earthen Dam Open
Defined as “personal remote sensing”, small unmanned aircraft systems (sUAS) have been increasingly utilized for landscape mapping. This study tests a sUAS procedure of 3D tree surveying of a closed-canopy woodland on an earthen dam. Three…
View article: sUAS Remote Sensing for Closed-canopy Tree Inventory on Earthen Dams
sUAS Remote Sensing for Closed-canopy Tree Inventory on Earthen Dams Open
More than half of the U.S. dams are privately owned and experienced the overgrowth of trees. There is a need to improve dam inspection and maintenance in a timely manner. Small Unmanned Aircraft Systems (sUAS) have been increasingly utiliz…
View article: Choosing an appropriate training set size when using existing data to train neural networks for land cover segmentation
Choosing an appropriate training set size when using existing data to train neural networks for land cover segmentation Open
Land cover data is an inventory of objects on the Earth's surface, which is often derived from remotely sensed imagery. Deep Convolutional Neural Network (DCNN) is a competitive method in image semantic segmentation. Some scholars argue th…
View article: A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints
A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints Open
In the Big Data era, Earth observation is becoming a complex process integrating physical and social sectors. This study presents an approach to generating a 100 m population grid in the Contiguous United States (CONUS) by disaggregating t…
View article: Assessing 40 years of spatial dynamics and patterns in megacities along the Belt and Road region using satellite imagery
Assessing 40 years of spatial dynamics and patterns in megacities along the Belt and Road region using satellite imagery Open
The Belt and Road (B&R) region, a vital area with historical, economic, cultural and political significance, has undergone rapid urbanization in the past several decades, especially in the form of urban expansion. In this study, 20 megacit…
View article: Remote Sensing Derived Indices for Tracking Urban Land Surface Change in Case of Earthquake Recovery
Remote Sensing Derived Indices for Tracking Urban Land Surface Change in Case of Earthquake Recovery Open
The study of post-disaster recovery requires an understanding of the reconstruction process and growth trend of the impacted regions. In case of earthquakes, while remote sensing has been applied for response and damage assessment, its app…