Review of optical-based remote sensing for plant trait mapping
L Homolová, Z Malenovský, JGPW Clevers… - Ecological …, 2013 - Elsevier
Plant trait data have been used in various studies related to ecosystem functioning,
community ecology, and assessment of ecosystem services. Evidences are that plant …
community ecology, and assessment of ecosystem services. Evidences are that plant …
Remote sensing of plant functional types
Conceptually, plant functional types represent a classification scheme between species and
broad vegetation types. Historically, these were based on physiological, structural and/or …
broad vegetation types. Historically, these were based on physiological, structural and/or …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
Abstract In 2007, the NASA Hyperspectral InfraRed Imager (HyspIRI) mission was
recommended in Earth Science and Applications from Space: National Imperatives for the …
recommended in Earth Science and Applications from Space: National Imperatives for the …
[HTML][HTML] Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission
Freshwater ecosystems underpin global water and food security, yet are some of the most
endangered ecosystems in the world because they are particularly vulnerable to land …
endangered ecosystems in the world because they are particularly vulnerable to land …
A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery
In this study, we automate tree species classification and mapping using field-based training
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem
Estuaries are among the most invaded ecosystems on the planet. Such invasions have led
in part, to the formation of a massive $1 billion restoration effort in California's Sacramento …
in part, to the formation of a massive $1 billion restoration effort in California's Sacramento …
Remote sensing of wetlands: applications and advances
RW Tiner, MW Lang, VV Klemas - 2015 - books.google.com
This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and mapping, as well as information on the latest technological advancements …
classification and mapping, as well as information on the latest technological advancements …
Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing
Recent advances in remote sensing provide opportunities to map plant species and
vegetation within wetlands at management relevant scales and resolutions. Hyperspectral …
vegetation within wetlands at management relevant scales and resolutions. Hyperspectral …
Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR
GP Asner, DE Knapp, T Kennedy-Bowdoin… - Remote sensing of …, 2008 - Elsevier
Remote sensing of invasive species is a critical component of conservation and
management efforts, but reliable methods for the detection of invaders have not been widely …
management efforts, but reliable methods for the detection of invaders have not been widely …