Results 21 to 30 of about 2,900 (227)
Pushing the Limits of Seagrass Remote Sensing in the Turbid Waters of Elkhorn Slough, California
Remote Sensing, 2019 Remote sensing imagery has been successfully used to map seagrass in clear waters, but here we evaluate the advantages and limitations of different remote sensing techniques to detect eelgrass in the tidal embayment of Elkhorn Slough, CA.
Heidi M. Dierssen +5 more
doaj +1 more source
Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery [PDF]
Remote Sensing, 2016 Subpixel mapping is a method of enhancing the spatial resolution of images, which involves dividing a mixed pixel into subpixels and assigning each subpixel to a definite land-cover class. Traditionally, subpixel mapping is based on the assumption of spatial dependence, and the spatial correlation information among pixels and subpixels is considered in
Ruyi Feng +5 more
openaire +2 more sources
Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree
Communications, 2014 A land cover classification system is very important nowadays for various remote sensing applications and many sectors of economy. Therefore, development of algorithms for multi- and hyperspectral imagery classification is an urgent task.
Sergey Stankevich +2 more
doaj +1 more source
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing
GIScience & Remote Sensing, 2020 There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns ...
Aleksi Räsänen +7 more
doaj +1 more source
Research of Cluster of Trees in Mt. Geumbyeong, Sejong-si Using Remote Exploration Technology(2020-2021) [PDF]
Geo Data, 2023 Korea consists of 63% forested land, more than twice the global average (31%). Despite ongoing reforestation efforts since the initiation of erosion contron and greening project in 1973, many of the species planted during that plan were nonnative, such ...
Kihyun Kim +3 more
doaj +1 more source
An Improved Atmospheric Correction Algorithm for Hyperspectral Remotely Sensed Imagery [PDF]
IEEE Geoscience and Remote Sensing Letters, 2004 There is an increased trend toward quantitative estimation of land surface variables from hyperspectral remote sensing. One challenging issue is retrieving surface reflectance spectra from observed radiance through atmospheric correction, most methods for which are intended to correct water vapor and other absorbing gases.
Liang, Shunlin, Fang, Hongliang
openaire +1 more source
Utilization of Hyperspectral Remote Sensing Imagery for Improving Burnt Area Mapping Accuracy
Remote Sensing, 2021 Wildfires pose a direct threat when occurring close to populated areas. Additionally, their significant carbon and climate feedbacks represent an indirect threat on a global, long-term scale. Monitoring and analyzing wildfires is therefore a crucial task to increase the understanding of interconnections between fire and ecosystems, in order to improve ...
Nolde, Michael +2 more
openaire +4 more sources
Silva Fennica, 2017 Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics.
Tuominen, Sakari +6 more
doaj +1 more source
Low‐Rank and Spectral‐Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery [PDF]
Wireless Communications and Mobile Computing, 2021 Sparse unmixing is an important technique for hyperspectral data analysis. Most sparse unmixing algorithms underutilize the spatial and spectral information of the hyperspectral image, which is unfavourable for the accuracy of endmember identification and abundance estimation.
openaire +1 more source
Topographic Effects on Optical Remote Sensing: Simulations by PLC Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Optical remote sensing offers a convenient method to monitor changes in mountain vegetation at regional and global scales, thanks to its synoptic coverage and frequent temporal sampling capabilities provided by satellite observations.
Rui Chen +3 more
doaj +1 more source