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Book
Land remote sensing and global environmental change : NASA's earth observing system and the science of ASTER and MODIS
Authors: --- ---
ISBN: 1441967486 9786613082695 1441967494 1283082691 9781441967480 Year: 2011 Volume: v.11 Publisher: New York (N.Y.): Springer,

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Abstract

Global environmental change remains a constant theme that resonates worldwide. The dynamics of the Earth system fosters complex spatio-temporal variations that highlight the significance of, and the need to monitor the Earth as a unified whole. Accurate, timely, and reliable data are a precursor to analyze and study several aspects of the integrated Earth system. Remote sensing observations have catalyzed several aspects of Earth system science by providing panoptic views and time-series measurements of the study environment in ways nearly impossible to replicate by traditional ground-based methods. NASA’s Earth Observing System’s (EOS) primary goal is to study and understand all interacting components of the Earth as a dynamic system. Land Remote Sensing and Global Environmental Change is an edited compendium that specifically focuses on the terrestrial components of change based on the scientific knowledge derived from data produced by two EOS instruments, ASTER and MODIS, which are part of the Terra and Aqua satellite missions. As global environmental change in the Anthropocene age becomes more ubiquitous, the papers presented in this volume demonstrate the value of EOS for studying the Earth’s surface. This volume helps articulate the EOS mission as a rich synergistic confluence of science, engineering, and technology, which helps us decipher how our terrestrial systems both contribute and respond to global environmental change. Audience: The primary audience for this book includes Earth and environmental science researchers and professionals, including those who use land remote sensing data. .

Keywords

Advanced Spaceborne Thermal Emission and Reflection Radiometer (Program). --- Artificial satellites in remote sensing. --- Earth Observing System (Program). --- Earth resources technology satellites. --- Earth sciences -- Remote sensing. --- MODIS (Spectroradiometer). --- Earth resources technology satellites --- Artificial satellites in remote sensing --- Climatic changes --- MODIS (Spectroradiometer) --- Earth sciences --- Geology --- Astronomy & Astrophysics --- Earth & Environmental Sciences --- Physical Sciences & Mathematics --- Astrophysics --- Geology - General --- Observations --- Remote sensing --- Earth resources satellites --- ERTS --- Physics. --- Climate change. --- Remote sensing. --- Physical geography. --- Space sciences. --- Extraterrestrial Physics, Space Sciences. --- Remote Sensing/Photogrammetry. --- Climate Change/Climate Change Impacts. --- Physical Geography. --- Scientific satellites --- Astrophysics. --- Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). --- Geography --- Astronomical physics --- Astronomy --- Cosmic physics --- Physics --- Changes, Climatic --- Changes in climate --- Climate change --- Climate change science --- Climate changes --- Climate variations --- Climatic change --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Science and space --- Space research --- Cosmology --- Science --- Environmental aspects --- Earth Observing System (Program) --- EOS (Program) --- Mission to Planet Earth (Program). --- Global environmental change --- Climatic changes - Observations --- Earth sciences - Remote sensing --- Satellites de télédétection des ressources terrestres --- Satellites artificiels en télédétection --- Sciences de la terre --- Climat --- Detection --- Télédétection --- Changements --- Détection


Book
Remote Sensing of Biophysical Parameters
Authors: --- ---
Year: 2022 Publisher: Basel MDPI Books

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Abstract

Vegetation plays an essential role in the study of the environment through plant respiration and photosynthesis. Therefore, the assessment of the current vegetation status is critical to modeling terrestrial ecosystems and energy cycles. Canopy structure (LAI, fCover, plant height, biomass, leaf angle distribution) and biochemical parameters (leaf pigmentation and water content) have been employed to assess vegetation status and its dynamics at scales ranging from kilometric to decametric spatial resolutions thanks to methods based on remote sensing (RS) data.Optical RS retrieval methods are based on the radiative transfer processes of sunlight in vegetation, determining the amount of radiation that is measured by passive sensors in the visible and infrared channels. The increased availability of active RS (radar and LiDAR) data has fostered their use in many applications for the analysis of land surface properties and processes, thanks to their insensitivity to weather conditions and the ability to exploit rich structural and texture information. Optical and radar data fusion and multi-sensor integration approaches are pressing topics, which could fully exploit the information conveyed by both the optical and microwave parts of the electromagnetic spectrum.This Special Issue reprint reviews the state of the art in biophysical parameters retrieval and its usage in a wide variety of applications (e.g., ecology, carbon cycle, agriculture, forestry and food security).

Keywords

Research & information: general --- hyperspectral --- spectroscopy --- equivalent water thickness --- canopy water content --- agriculture --- EnMAP --- LAI --- LCC --- FAPAR --- FVC --- CCC --- PROSAIL --- GPR --- machine learning --- active learning --- Landsat 8 --- surface reflectance --- LEDAPS --- LaSRC --- 6SV --- SREM --- NDVI --- artificial neural networks --- canopy chlorophyll content --- INFORM --- leaf area index --- SAIL --- fluorescence --- in vivo --- spectrometry --- ASD Field Spec --- lead ions --- remote sensing indices --- meteosat second generation (MSG) --- biophysical parameters (LAI --- FAPAR) --- SEVIRI --- climate data records (CDR) --- stochastic spectral mixture model (SSMM) --- Satellite Application Facility for Land Surface Analysis (LSA SAF) --- the fraction of radiation absorbed by photosynthetic components (FAPARgreen) --- triple-source --- leaf area index (LAI) --- woody area index (WAI) --- clumping index (CI) --- Moderate Resolution Imaging Spectroradiometer (MODIS) --- soil albedo --- unmanned aircraft vehicle --- multispectral sensor --- vegetation indices --- rapeseed crop --- site-specific farming --- Sentinel-2 --- forest --- vegetation radiative transfer model --- Discrete Anisotropic Radiative Transfer (DART) model --- MODIS --- fraction of photosynthetically active radiation absorbed by vegetation (FPAR) --- three-dimensional radiative transfer model (3D RTM) --- uncertainty assessment --- vertical foliage profile (VFP) --- terrestrial laser scanning (TLS) --- airborne laser scanning (ALS) --- spaceborne laser scanning (SLS) --- riparian --- invasive vegetation --- burn severity --- canopy loss --- wildfire

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