[HTML][HTML] Status of phenological research using Sentinel-2 data: A review

G Misra, F Cawkwell, A Wingler - Remote Sensing, 2020 - mdpi.com
Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …

The use of remote sensing in soil and terrain map**—A review

VL Mulder, S De Bruin, ME Schaepman, TR Mayr - Geoderma, 2011 - Elsevier
This article reviews the use of optical and microwave remote sensing data for soil and terrain
map** with emphasis on applications at regional and coarser scales. Remote sensing is …

The ECOSTRESS spectral library version 1.0

SK Meerdink, SJ Hook, DA Roberts… - Remote Sensing of …, 2019 - Elsevier
Abstract In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 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 …

[SÁCH][B] Fundamentals of satellite remote sensing: An environmental approach

E Chuvieco - 2020 - taylorfrancis.com
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

A survey of image classification methods and techniques for improving classification performance

D Lu, Q Weng - International journal of Remote sensing, 2007 - Taylor & Francis
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Spectral unmixing

N Keshava, JF Mustard - IEEE signal processing magazine, 2002 - ieeexplore.ieee.org
Spectral unmixing using hyperspectral data represents a significant step in the evolution of
remote decompositional analysis that began with multispectral sensing. It is a consequence …

Endmember variability in spectral mixture analysis: A review

B Somers, GP Asner, L Tits, P Coppin - Remote Sensing of Environment, 2011 - Elsevier
The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and map** of targeted …

[SÁCH][B] Computer processing of remotely-sensed images

PM Mather, M Koch - 2022 - books.google.com
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …

Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types

JA Gamon, CB Field, ML Goulden… - Ecological …, 1995 - Wiley Online Library
In a range of plant species from three Californian vegetation types, we examined the widely
used" normalized difference vegetation index"(NDVI) and" simple ratio"(SR) as indicators of …