Results 41 to 50 of about 2,900 (227)
Remote Sensing to Characterize River Floodplain Structure and Function
Advancing understanding of the complexities and expansive spatial scales of river ecology can be enhanced through the application of remote sensing. We obtained satellite (Quickbird) and airborne (LIDAR, hyperspectral, multispectral, and thermal) imagery
F. Richard Hauer +2 more
doaj +1 more source
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem +5 more
wiley +1 more source
Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context
In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications.
Julie Transon +3 more
doaj +1 more source
The purpose of this research was to develop a state of science synthesis of remote sensing technologies that could be used to track changes in Great Lakes coastal vegetation for the Great Lakes-St. Lawrence River Adaptive Management (GLAM) Committee. The
Lori White +3 more
doaj +1 more source
Identifying Building Rooftops in Hyperspectral Imagery Using CNN With Pure Pixel Index
Deep learning and traditional machine learning algorithms have been widely applied to enhance the classification accuracy in remote sensing images. However, due to the variety and changeability of buildings, identifying building rooftops based on remote ...
Yao Li +5 more
doaj +1 more source
Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley +1 more source
This literature‐based method estimates human appreciation of flower colours on target grasslands. Step 1: search literature sources (floristic surveys, national floras, web datasets and preference studies). Step 2: flower trait extraction (flower colour and area, flowering period and human colour appreciation scale).
Marco Bianchini +4 more
wiley +1 more source
Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery
Sparse unmixing plays a crucial role in the field of hyperspectral image unmixing technology, leveraging the availability of pre-existing endmember spectral libraries. In recent years, there has been a growing trend in incorporating spatial information from hyperspectral images into sparse unmixing models.
Chengzhi Deng +7 more
openaire +2 more sources
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Prediction and mapping of tobacco yield with fresh leaf mass using hyperspectral sensing data
Tobacco yield is important for agricultural management and policy making. Hyperspectral remote sensing has advantages in predicting and mapping crop yield, providing both yield values and the spatial distribution of yield.
Junying Li +6 more
doaj +1 more source

