Journal Article10.1016/J.RSE.2015.05.004
A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients
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TL;DR: In this paper, an automated method for selecting a single multi-temporal spectral library that can be used to classify vegetation species across multiple dates within an image time series was proposed, which was used to select spectra from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data acquired on five dates in the same year.
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About: This article is published in Remote Sensing of Environment. The article was published on 15 Sep 2015. The article focuses on the topics: Vegetation classification & Endmember.
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Citations
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
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TL;DR: The NASA Hyperspectral InfraRed Imager (HyspIRI) as mentioned in this paper is comprised of a visible to short-wavelength infrared (VSWIR) imaging spectrometer and a thermal infrared (TIR) multispectral imager, together with an Intelligent Payload Module (IPM) for onboard processing and rapid downlink of selected data.
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Remote sensing of terrestrial plant biodiversity
TL;DR: A review of the history of remote sensing approaches in biodiversity estimation, summarizing the pros and cons of different methods, illustrate successes and major gaps of remote-sensing of biodiversity, and identify promising future directions as mentioned in this paper.
296
Forest stand species mapping using the Sentinel-2 time series.
TL;DR: Using the Sentinel-2 time series instead of single date imagery significantly improved forest tree species mapping, by approximately 5–10% of overall accuracy, and combining images from spring and autumn resulted in better species discrimination.
228
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Sander Veraverbeke,Philip E. Dennison,Ioannis Z. Gitas,Glynn Hulley,Olga V. Kalashnikova,Thomas Katagis,Le Kuai,Le Kuai,Ran Meng,Dar A. Roberts,Natasha Stavros +10 more
TL;DR: A review of the state-of-the-art and perspectives of hyperspectral remote sensing of fire can be found in this paper, where the authors provide an overview of the current state of the art.
152
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A review of assessing the accuracy of classifications of remotely sensed data
TL;DR: This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data including the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques.
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Dar A. Roberts,Margaret E. Gardner,Richard L. Church,Susan L. Ustin,G. Scheer,Robert O. Green,Robert O. Green +6 more
TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).
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