Abstract Remote‐sensing spectral observations are widely used to monitor crop growth and productivity, yet their potential for agrohydrological forecasting remains limited by a lack of mechanistic links to crop and soil processes. Existing models often prescribe canopy states, simplify physiological responses, or omit explicit spectral simulations ...
Danyang Yu +8 more
wiley +1 more source
Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data. [PDF]
DeCoffe LJR +5 more
europepmc +1 more source
Abstract The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) Visible‐to‐near‐infrared Hyperspectral Reduced Data Record (VRDR) data set provides near‐global (∼99%) coverage of the Martian surface between 0.371 and 1.017 μm across 92 spectral channels, at a spatial resolution of 90 m/pixel.
J. D. McNeil, R. B. Stabbins
wiley +1 more source
Remote sensing of grassland with contaminated soil using the spectral red-edge
In most cases contaminants are concealed in soil and under vegetation and therefore cannot be measured directly by remote sensing. However, soil contaminants were detectedusing the spectral red-edge to indicate vegetation stress caused by the presence ...
Llewellyn, Gary Michael
core +1 more source
Abnormal Target Detection Method in Hyperspectral Remote Sensing Image Based on Convolution Neural Network. [PDF]
Liu Y, Liu JB.
europepmc +1 more source
Abstract The Arabian/Persian Gulf contains more than half of the world's proven oil reserves and is a critical hub for global energy transport, yet it faces increasing oil spill risk from intense tanker traffic, geopolitical tensions, and clandestine oil smuggling operations.
Nylan Ramnauth +4 more
wiley +1 more source
Multitask ST-LSTM model based on UAV hyperspectral remote sensing for wheat yield prediction. [PDF]
Li Y +5 more
europepmc +1 more source
Mismatch Between Current Essential Biodiversity Variables and Available Data for Southeast Asia
The essential biodiversity variables provide a centralized group of variables to enable the monitoring of biodiversity. Yet, some of the most diverse parts of the planet may lack the data to be able to develop these variables. Here we explore the availability of that data for one of the most diverse parts of the world, the Southeast Asian region, and ...
Alice C. Hughes +5 more
wiley +1 more source
Development of a Ground-Based Hyperspectral Remote Sensing System for High-Frequency Monitoring of Riverine Organic Carbon. [PDF]
Gao W, He X, Zhang X, Jin X, Gong F.
europepmc +1 more source
Epidemic of Wheat Stripe Rust Detected by Hyperspectral Remote Sensing and Its Potential Correlation with Soil Nitrogen during Latent Period. [PDF]
Chen J, Saimi A, Zhang M, Liu Q, Ma Z.
europepmc +1 more source

