Land Surface Monitoring Based on Satellite Imagery

This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land par...

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Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
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collection Directory of Open Access Books
description This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.
format Online
id doab-20.500.12854ir-95777
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-957772024-03-28T03:31:14Z Land Surface Monitoring Based on Satellite Imagery Venafra, Sara Serio, Carmine Masiello, Guido Sentinel-2 spectral bands LAI vegetation indices Sentinel-1 SAR RVI incidence angle crop coefficient leaf area index urban heat island UHI regional impacts non-urban areas remote sensing thermal band UHI intensity remote sensing/GIS spatial dynamics landscape metrics urban–rural gradient urbanization automatic monitoring time series change detection urban planning hyperspectral cacti drone climate change drought water deficit index infrared observations satellite surface temperature air temperature humidity dew point temperature land subsidence DInSAR differential interferograms stacking floods coastal plain of Tabasco crop residue fusion machine learning algorithm reflective and radar bands land-cover change REDD+ Google Earth Engine random forest landsat Togo emissivity evapotranspiration heterogeneity Rao’s Q index spectral variation hypothesis thermal infrared thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought. 2023-01-05T12:32:14Z 2023-01-05T12:32:14Z 2022 book ONIX_20230105_9783036559292_6 9783036559292 9783036559308 https://directory.doabooks.org/handle/20.500.12854/95777 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6433 https://mdpi.com/books/pdfview/book/6433 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5930-8 10.3390/books978-3-0365-5930-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036559292 9783036559308 232 Basel open access
spellingShingle Sentinel-2
spectral bands
LAI
vegetation indices
Sentinel-1
SAR
RVI
incidence angle
crop coefficient
leaf area index
urban heat island
UHI regional impacts
non-urban areas
remote sensing
thermal band
UHI intensity
remote sensing/GIS
spatial dynamics
landscape metrics
urban–rural gradient
urbanization
automatic monitoring
time series
change detection
urban planning
hyperspectral
cacti
drone
climate change
drought
water deficit index
infrared observations
satellite
surface temperature
air temperature
humidity
dew point temperature
land subsidence
DInSAR
differential interferograms stacking
floods
coastal plain of Tabasco
crop residue
fusion
machine learning algorithm
reflective and radar bands
land-cover change
REDD+
Google Earth Engine
random forest
landsat
Togo
emissivity
evapotranspiration
heterogeneity
Rao’s Q index
spectral variation hypothesis
thermal infrared
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
Land Surface Monitoring Based on Satellite Imagery
title Land Surface Monitoring Based on Satellite Imagery
title_full Land Surface Monitoring Based on Satellite Imagery
title_fullStr Land Surface Monitoring Based on Satellite Imagery
title_full_unstemmed Land Surface Monitoring Based on Satellite Imagery
title_short Land Surface Monitoring Based on Satellite Imagery
title_sort land surface monitoring based on satellite imagery
topic Sentinel-2
spectral bands
LAI
vegetation indices
Sentinel-1
SAR
RVI
incidence angle
crop coefficient
leaf area index
urban heat island
UHI regional impacts
non-urban areas
remote sensing
thermal band
UHI intensity
remote sensing/GIS
spatial dynamics
landscape metrics
urban–rural gradient
urbanization
automatic monitoring
time series
change detection
urban planning
hyperspectral
cacti
drone
climate change
drought
water deficit index
infrared observations
satellite
surface temperature
air temperature
humidity
dew point temperature
land subsidence
DInSAR
differential interferograms stacking
floods
coastal plain of Tabasco
crop residue
fusion
machine learning algorithm
reflective and radar bands
land-cover change
REDD+
Google Earth Engine
random forest
landsat
Togo
emissivity
evapotranspiration
heterogeneity
Rao’s Q index
spectral variation hypothesis
thermal infrared
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
topic_facet Sentinel-2
spectral bands
LAI
vegetation indices
Sentinel-1
SAR
RVI
incidence angle
crop coefficient
leaf area index
urban heat island
UHI regional impacts
non-urban areas
remote sensing
thermal band
UHI intensity
remote sensing/GIS
spatial dynamics
landscape metrics
urban–rural gradient
urbanization
automatic monitoring
time series
change detection
urban planning
hyperspectral
cacti
drone
climate change
drought
water deficit index
infrared observations
satellite
surface temperature
air temperature
humidity
dew point temperature
land subsidence
DInSAR
differential interferograms stacking
floods
coastal plain of Tabasco
crop residue
fusion
machine learning algorithm
reflective and radar bands
land-cover change
REDD+
Google Earth Engine
random forest
landsat
Togo
emissivity
evapotranspiration
heterogeneity
Rao’s Q index
spectral variation hypothesis
thermal infrared
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
url ONIX_20230105_9783036559292_6