Atjaunināt sīkdatņu piekrišanu

E-grāmata: Multitemporal Remote Sensing: Methods and Applications

Edited by
  • Formāts - EPUB+DRM
  • Cena: 296,82 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book examines the processing and analysis of multitemporal remotely sensed images. It features a variety of application examples covering both land and aquatic environments. It will help readers gain a greater understanding of this powerful and effective means to monitor our changing planet at the local, regional, and global scales.

In 20 chapters, world renowned scientists detail an array of methods and techniques. They use a broad range of datasets in their methodology demonstrations and application examples, including multispectral, hyperspectral, and SAR. In addition, coverage also includes passive microwave.

The volume details: change detection, coarse-resolution time series with a focus on monitoring vegetation and land surface dynamics, integrating wildlife location data with high spatial and temporal resolution landscape disturbance datasets, and the incorporation of multitemporal medium resolution satellite images with socio-economic field data for monitoring recovery of the tsunami-affected areas in Phanga, Thailand.
  
The planet is facing unprecedented environmental challenges, from flooding, hurricanes and earthquakes to droughts, heat waves, wildfires, and more. After reading this book, researchers, practitioners, and students will gain insight into how to use remote sensing to keep watch over Planet Earth and to assess damages when disaster strikes.
1 Multitemporal Remote Sensing: Current Status, Trends and Challenges
1(18)
Yifang Ban
2 Change Detection Techniques: A Review
19(26)
Yifang Ban
Osama Yousif
3 Change Detection in Urban Areas: Spatial and Temporal Scales
45(18)
Paolo Gamba
Fabio Dell' Acqua
4 Change Detection in Multitemporal Hyperspectral Images
63(26)
Lorenzo Bruzzone
Sicong Liu
Francesca Bovolo
Peijun Du
5 Object-Based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms
89(18)
Osama Yousif
Yifang Ban
6 Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization Monitoring
107(18)
Yifang Ban
Alexander Jacob
7 Post-classification Change Detection in Arctic Glaciers by Multi-polarization SAR
125(20)
Vahid Akbari
Anthony P. Doulgeris
Torbjørn Eltoft
8 Interferometric SAR Multitemporal Processing: Techniques and Applications
145(32)
Daniele Perissin
9 TIMESAT for Processing Time-Series Data from Satellite Sensors for Land Surface Monitoring
177(18)
Lars Eklundh
Per Jonsson
10 PhenoSat -- A Tool for Remote Sensing Based Analysis of Vegetation Dynamics
195(22)
Arlete Rodrigues
Andre R. S. Marcal
Mario Cunha
11 Temporal Techniques in Remote Sensing of Global Vegetation
217(16)
Aleixandre Verger
Sivasathivel Kandasamy
Frederic Baret
12 Soil Moisture Dynamics Estimated from MODIS Time Series Images
233(22)
Thomas Gumbricht
13 Temporal Analysis of Remotely Sensed Land Surface Shortwave-Albedo
255(22)
Tao He
Shunlin Liang
14 Observing the Response of Terrestrial Vegetation to Climate Variability Across a Range of Time Scales by Time Series Analysis of Land Surface Temperature
277(40)
Massimo Menenti
H.R. Ghafarian Malamiri
Haolu Shang
Silvia M. Alfieri
Carmine Maffei
Li Jia
15 A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring
317(24)
Heather McNairn
Jiali Shang
16 An Approach for Determining Relationships Between Disturbance and Habitat Selection Using Bi-weekly Synthetic Images and Telemetry Data
341(16)
Nicholas D. A. Brown
Trisalyn Nelson
Michael A. Wulder
Nicholas C. Coops
Thomas Hilker
Christopher W. Bater
Rachel Gaulton
Gordon B. Stenhouse
17 Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring
357(16)
Yeqiao Wang
Shuhua Qi
Jian Xu
18 Global Land Surface Water Mapping and Analysis at 30 m Spatial Resolution for Years 2000 and 2010
373(18)
Xin Cao
Jun Chen
Anping Liao
Lijun Chen
Jin Chen
19 Multitemporal Remote Sensing of Coastal Waters
391(36)
Susanne Kratzer
Krista Alikas
Therese Harvey
Jose Maria Beltran-Abaunza
Evgeny Morozov
Selima Ben Mustapha
Samantha Lavender
20 Monitoring Long-Term Disaster Recovery -- Space and Ground Views
427
Tuong-Thuy Vu
Daroonwan Kamthonkiat