Assessing drivers of vegetation changes in drylands from time series of earth observation data

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

Standard

Assessing drivers of vegetation changes in drylands from time series of earth observation data. / Fensholt, Rasmus; Horion, Stephanie; Tagesson, Torbern; Ehammer, Andrea; Grogan, Kenneth; Tian, Feng; Huber, Silvia; Verbesselt, Jan; Prince, Stephen D.; Tucker, Compton J.; Rasmussen, Kjeld.

Remote Sensing and Digital Image Processing. red. / Claudia Kuenzer; Stefan Dech; Wolfgang Wagner. Cham : Springer, 2015. s. 183-202 (Remote Sensing and Digital Image Processing, Bind 22).

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

Harvard

Fensholt, R, Horion, S, Tagesson, T, Ehammer, A, Grogan, K, Tian, F, Huber, S, Verbesselt, J, Prince, SD, Tucker, CJ & Rasmussen, K 2015, Assessing drivers of vegetation changes in drylands from time series of earth observation data. i C Kuenzer, S Dech & W Wagner (red), Remote Sensing and Digital Image Processing. Springer, Cham, Remote Sensing and Digital Image Processing, bind 22, s. 183-202. https://doi.org/10.1007/978-3-319-15967-6_9

APA

Fensholt, R., Horion, S., Tagesson, T., Ehammer, A., Grogan, K., Tian, F., Huber, S., Verbesselt, J., Prince, S. D., Tucker, C. J., & Rasmussen, K. (2015). Assessing drivers of vegetation changes in drylands from time series of earth observation data. I C. Kuenzer, S. Dech, & W. Wagner (red.), Remote Sensing and Digital Image Processing (s. 183-202). Springer. Remote Sensing and Digital Image Processing Bind 22 https://doi.org/10.1007/978-3-319-15967-6_9

Vancouver

Fensholt R, Horion S, Tagesson T, Ehammer A, Grogan K, Tian F o.a. Assessing drivers of vegetation changes in drylands from time series of earth observation data. I Kuenzer C, Dech S, Wagner W, red., Remote Sensing and Digital Image Processing. Cham: Springer. 2015. s. 183-202. (Remote Sensing and Digital Image Processing, Bind 22). https://doi.org/10.1007/978-3-319-15967-6_9

Author

Fensholt, Rasmus ; Horion, Stephanie ; Tagesson, Torbern ; Ehammer, Andrea ; Grogan, Kenneth ; Tian, Feng ; Huber, Silvia ; Verbesselt, Jan ; Prince, Stephen D. ; Tucker, Compton J. ; Rasmussen, Kjeld. / Assessing drivers of vegetation changes in drylands from time series of earth observation data. Remote Sensing and Digital Image Processing. red. / Claudia Kuenzer ; Stefan Dech ; Wolfgang Wagner. Cham : Springer, 2015. s. 183-202 (Remote Sensing and Digital Image Processing, Bind 22).

Bibtex

@inbook{c9aa08094b5345b8bbbde4469f30f3c4,
title = "Assessing drivers of vegetation changes in drylands from time series of earth observation data",
abstract = "This chapter summarizes methods of inferring information about drivers of global dryland vegetation changes observed from remote sensing time series data covering from the 1980s until present time. Earth observation (EO) based time series of vegetation metrics, sea surface temperature (SST) (both from the AVHRR (Advanced Very High Resolution Radiometer) series of instruments) and precipitation data (blended satellite/rain gauge) are used for determining the mechanisms of observed changes. EO-based methods to better distinguish between climate and human induced (land use) vegetation changes are reviewed. The techniques presented include trend analysis based on the Rain-Use Efficiency (RUE) and the Residual Trend Analysis (RESTREND) and the methodological challenges related to the use of these. Finally, teleconnections between global sea surface temperature (SST) anomalies and dryland vegetation productivity are illustrated and the associated predictive capabilities are discussed.",
author = "Rasmus Fensholt and Stephanie Horion and Torbern Tagesson and Andrea Ehammer and Kenneth Grogan and Feng Tian and Silvia Huber and Jan Verbesselt and Prince, {Stephen D.} and Tucker, {Compton J.} and Kjeld Rasmussen",
year = "2015",
doi = "10.1007/978-3-319-15967-6_9",
language = "English",
isbn = "978-3-319-15966-9",
series = "Remote Sensing and Digital Image Processing",
publisher = "Springer",
pages = "183--202",
editor = "Kuenzer, {Claudia } and Dech, {Stefan } and Wagner, {Wolfgang }",
booktitle = "Remote Sensing and Digital Image Processing",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Assessing drivers of vegetation changes in drylands from time series of earth observation data

AU - Fensholt, Rasmus

AU - Horion, Stephanie

AU - Tagesson, Torbern

AU - Ehammer, Andrea

AU - Grogan, Kenneth

AU - Tian, Feng

AU - Huber, Silvia

AU - Verbesselt, Jan

AU - Prince, Stephen D.

AU - Tucker, Compton J.

AU - Rasmussen, Kjeld

PY - 2015

Y1 - 2015

N2 - This chapter summarizes methods of inferring information about drivers of global dryland vegetation changes observed from remote sensing time series data covering from the 1980s until present time. Earth observation (EO) based time series of vegetation metrics, sea surface temperature (SST) (both from the AVHRR (Advanced Very High Resolution Radiometer) series of instruments) and precipitation data (blended satellite/rain gauge) are used for determining the mechanisms of observed changes. EO-based methods to better distinguish between climate and human induced (land use) vegetation changes are reviewed. The techniques presented include trend analysis based on the Rain-Use Efficiency (RUE) and the Residual Trend Analysis (RESTREND) and the methodological challenges related to the use of these. Finally, teleconnections between global sea surface temperature (SST) anomalies and dryland vegetation productivity are illustrated and the associated predictive capabilities are discussed.

AB - This chapter summarizes methods of inferring information about drivers of global dryland vegetation changes observed from remote sensing time series data covering from the 1980s until present time. Earth observation (EO) based time series of vegetation metrics, sea surface temperature (SST) (both from the AVHRR (Advanced Very High Resolution Radiometer) series of instruments) and precipitation data (blended satellite/rain gauge) are used for determining the mechanisms of observed changes. EO-based methods to better distinguish between climate and human induced (land use) vegetation changes are reviewed. The techniques presented include trend analysis based on the Rain-Use Efficiency (RUE) and the Residual Trend Analysis (RESTREND) and the methodological challenges related to the use of these. Finally, teleconnections between global sea surface temperature (SST) anomalies and dryland vegetation productivity are illustrated and the associated predictive capabilities are discussed.

U2 - 10.1007/978-3-319-15967-6_9

DO - 10.1007/978-3-319-15967-6_9

M3 - Book chapter

AN - SCOPUS:84980010201

SN - 978-3-319-15966-9

T3 - Remote Sensing and Digital Image Processing

SP - 183

EP - 202

BT - Remote Sensing and Digital Image Processing

A2 - Kuenzer, Claudia

A2 - Dech, Stefan

A2 - Wagner, Wolfgang

PB - Springer

CY - Cham

ER -

ID: 234283266