Airborne hyperspectral and satellite imaging of harmful algal blooms in the Great Lakes Region: Successes in sensing algal blooms
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Great Lakes Research"
DOI: 10.1016/j.jglr.2019.03.016
Abstract: Abstract Harmful algal blooms have become a more significant issue in recent years in many lakes and rivers, and it is a particularly significant issue in the western basin of Lake Erie. In response, several… read more here.
Keywords: remote sensing; harmful algal; algal blooms; great lakes ... See more keywords
Spectral-Spatial and Cascaded Multilayer Random Forests for Tree Species Classification in Airborne Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3177935
Abstract: The rapid development of remote sensing sensors has made it possible to collect airborne hyperspectral data with high spectral and spatial resolution. Such data can provide valuable information to identify tree species in the forest.… read more here.
Keywords: information; classification; spectral spatial; tree species ... See more keywords
Infrared detector module for airborne hyperspectral LiDAR: design and demonstration.
Sign Up to like & getrecommendations! Published in 2023 at "Applied optics"
DOI: 10.1364/ao.482626
Abstract: Realizing the integrated acquisition and identification of the elevation information and spectral information of the observation target is at the frontier and a future trend of Earth observation technology. This study designs and develops a… read more here.
Keywords: hyperspectral imaging; design; detector; lidar ... See more keywords
Potential of Airborne Hyperspectral Data for Geo-Exploration over Parts of Different Geological/Metallogenic Provinces in India based on AVIRIS-NG Observations
Sign Up to like & getrecommendations! Published in 2019 at "Current Science"
DOI: 10.18520/cs/v116/i7/1143-1156
Abstract: Satadru Bhattacharya*, Hrishikesh Kumar, Arindam Guha, Aditya K. Dagar, Sumit Pathak, Komal Rani (Pasricha), S. Mondal, K. Vinod Kumar, William Farrand, Snehamoy Chatterjee, S. Ravi, A. K. Sharma and A. S. Rajawat Space Applications Centre,… read more here.
Keywords: airborne hyperspectral; potential airborne; space; data geo ... See more keywords
Machine Learning Approaches for Quantifying Margalefidinium Polykrikoides Bloom from Airborne Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Coastal Research"
DOI: 10.2112/si102-025.1
Abstract: ABSTRACT Shin, J.; Kim, S.M., and Ryu, J.-H., 2020. Machine learning approaches for quantifying Margalefinium polykrikoides bloom from airborne hyperspectral imagery. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Geospatial… read more here.
Keywords: cell abundance; machine; learning approaches; machine learning ... See more keywords
Classification of Halophytes from Airborne Hyperspectral Imagery in Ganghwa Island, Korea Using Multilayer Perceptron Artificial Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Coastal Research"
DOI: 10.2112/si90-030.1
Abstract: Lee, Y.-S.; Park, S.-H.; Cho, Y.-H.; Lee, W.-J, Jung, H.-S.; Lee, M.-J., and Kim, S.-H., 2019. Classification of halophytes from airborne hyperspectral imagery in Ganghwa Island, Korea using multilayer perceptron artificial neural network. In: Jung,… read more here.
Keywords: airborne hyperspectral; ganghwa island; neural network; island korea ... See more keywords
Object-Based Tree Species Classification Using Airborne Hyperspectral Images and LiDAR Data
Sign Up to like & getrecommendations! Published in 2019 at "Forests"
DOI: 10.3390/f11010032
Abstract: The identification of tree species is one of the most basic and key indicators in forest resource monitoring with great significance in the actual forest resource survey and it can comprehensively improve the efficiency of… read more here.
Keywords: airborne hyperspectral; classification; feature; classification accuracy ... See more keywords