The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia

Alexander Mc R. Holm; Shane W. Cridland; Michael L. Roderick

doi:10.1016/S0034-4257(02)00199-2

The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia

Alexander Mc R. Holm, Shane W. Cridland, Michael L. Roderick^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

158 Citations (Scopus)

Abstract

Ground-based data on total phytomass were collected in 1998 and 1999 from four sampling domains, each nearly 1000 km², within the arid shrubland of Western Australia. These data were used in models relating rainfall and landscape characteristics to total phytomass to provide landscape-scale estimates of total phytomass and rainfall-use efficiency for 1992-1999 (referred to as RUE_P). These modelled estimates were compared with remotely sensed estimates of total phytomass (I-NDVI) and rainfall-use efficiency (I-NDVI/annual rainfall; referred to as RUE_N) using data from NOAA satellites. There was good agreement between ground-based and remotely sensed estimates of total phytomass but less agreement between estimates of rainfall-use efficiency. Partitioning the landscape on the basis of landscape resilience did not improve the amount of variance accounted for in RUE_P or RUE_N and there were conflicting relationships between landscape-scale indicators of landscape function and RUE_N. There was, however, evidence to suggest that temporal change in RUE_N may provide a useful broad-scale indicator of landscape degradation or recovery over decadal time intervals. Recommendations are made for broad-scale application of this indicator based on temporal trends in RUE_N.

Original language	English
Pages (from-to)	145-158
Number of pages	14
Journal	Remote Sensing of Environment
Volume	85
Issue number	2
DOIs	https://doi.org/10.1016/S0034-4257(02)00199-2
Publication status	Published - 15 May 2003

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title = "The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia",

abstract = "Ground-based data on total phytomass were collected in 1998 and 1999 from four sampling domains, each nearly 1000 km2, within the arid shrubland of Western Australia. These data were used in models relating rainfall and landscape characteristics to total phytomass to provide landscape-scale estimates of total phytomass and rainfall-use efficiency for 1992-1999 (referred to as RUEP). These modelled estimates were compared with remotely sensed estimates of total phytomass (I-NDVI) and rainfall-use efficiency (I-NDVI/annual rainfall; referred to as RUEN) using data from NOAA satellites. There was good agreement between ground-based and remotely sensed estimates of total phytomass but less agreement between estimates of rainfall-use efficiency. Partitioning the landscape on the basis of landscape resilience did not improve the amount of variance accounted for in RUEP or RUEN and there were conflicting relationships between landscape-scale indicators of landscape function and RUEN. There was, however, evidence to suggest that temporal change in RUEN may provide a useful broad-scale indicator of landscape degradation or recovery over decadal time intervals. Recommendations are made for broad-scale application of this indicator based on temporal trends in RUEN.",

keywords = "Arid environments, Landscape degradation, Monitoring, NOAA NDVI, Remote sensing, Resilience",

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T1 - The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia

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AU - Cridland, Shane W.

AU - Roderick, Michael L.

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N2 - Ground-based data on total phytomass were collected in 1998 and 1999 from four sampling domains, each nearly 1000 km2, within the arid shrubland of Western Australia. These data were used in models relating rainfall and landscape characteristics to total phytomass to provide landscape-scale estimates of total phytomass and rainfall-use efficiency for 1992-1999 (referred to as RUEP). These modelled estimates were compared with remotely sensed estimates of total phytomass (I-NDVI) and rainfall-use efficiency (I-NDVI/annual rainfall; referred to as RUEN) using data from NOAA satellites. There was good agreement between ground-based and remotely sensed estimates of total phytomass but less agreement between estimates of rainfall-use efficiency. Partitioning the landscape on the basis of landscape resilience did not improve the amount of variance accounted for in RUEP or RUEN and there were conflicting relationships between landscape-scale indicators of landscape function and RUEN. There was, however, evidence to suggest that temporal change in RUEN may provide a useful broad-scale indicator of landscape degradation or recovery over decadal time intervals. Recommendations are made for broad-scale application of this indicator based on temporal trends in RUEN.

AB - Ground-based data on total phytomass were collected in 1998 and 1999 from four sampling domains, each nearly 1000 km2, within the arid shrubland of Western Australia. These data were used in models relating rainfall and landscape characteristics to total phytomass to provide landscape-scale estimates of total phytomass and rainfall-use efficiency for 1992-1999 (referred to as RUEP). These modelled estimates were compared with remotely sensed estimates of total phytomass (I-NDVI) and rainfall-use efficiency (I-NDVI/annual rainfall; referred to as RUEN) using data from NOAA satellites. There was good agreement between ground-based and remotely sensed estimates of total phytomass but less agreement between estimates of rainfall-use efficiency. Partitioning the landscape on the basis of landscape resilience did not improve the amount of variance accounted for in RUEP or RUEN and there were conflicting relationships between landscape-scale indicators of landscape function and RUEN. There was, however, evidence to suggest that temporal change in RUEN may provide a useful broad-scale indicator of landscape degradation or recovery over decadal time intervals. Recommendations are made for broad-scale application of this indicator based on temporal trends in RUEN.

KW - Arid environments

KW - Landscape degradation

KW - Monitoring

KW - NOAA NDVI

KW - Remote sensing

KW - Resilience

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JO - Remote Sensing of Environment

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ER -

The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia

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