Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman +3 more
wiley +1 more source
Maize streak virus (MSV) threatens food production in Africa and globally. This study evaluates the effectiveness of Sentinel-2 MSI and Landsat 9 in detecting MSV-infected maize at different growth stages in Ofcolaco farms, Tzaneen, South Africa, using ...
Thabiso Jack Choshi +2 more
doaj +1 more source
Effect of the atmosphere on the classification of LANDSAT data [PDF]
The author has identified the following significant results. In conjunction with Turner's model for the correction of satellite data for atmospheric interference, the LOWTRAN-3 computer was used to calculate the atmospheric interference.
Dejesusparada, N. +3 more
core +1 more source
Evaluation of the causes of error in the MCD45 burned-area product for the savannas of northern South America [Evaluación de las causas de error en el producto de área quemada MCD45 para las sabanas del norte de Suramérica] [PDF]
Forest fires contribute to deforestation and have been considered a significant source of CO2 emissions. There are global maps that estimate the area affected by a fire using the reflectance variation of the surface.
Anaya-Acevedo J.A., Palomino-Angel S.
core
Tile2Vec: Unsupervised representation learning for spatially distributed data
Geospatial analysis lacks methods like the word vector representations and pre-trained networks that significantly boost performance across a wide range of natural language and computer vision tasks.
Azzari, George +5 more
core +1 more source
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola +5 more
wiley +1 more source
Evaluation of advanced geopotential models for operational orbit determination [PDF]
To meet future orbit determination accuracy requirements for different NASA projects, analyses are performed using Tracking and Data Relay Satellite System (TDRSS) tracking measurements and orbit determination improvements in areas such as the modeling ...
Davis, B. E. +4 more
core +1 more source
Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis +3 more
wiley +1 more source
Gap-filling of land surface temperature in arid regions by combining Landsat 8 and 9 imageries
Land surface temperature (LST) is an important factor in land monitoring studies, but due to the presence of clouds, dust and sensor issues, there are missing values.
Fahime Arabi Aliabad +3 more
doaj +1 more source
Satellite Image Processing by Python and R Using Landsat 9 OLI/TIRS and SRTM DEM Data on Côte d'Ivoire, West Africa. [PDF]
Lemenkova P, Debeir O.
europepmc +1 more source

