The seasonality of AVHRR data of temperate coniferous forests: Relationship with leaf area index

Michael A. Spanner; Lars L. Pierce; Steven W. Running; David L. Peterson

doi:10.1016/0034-4257(90)90036-L

The seasonality of AVHRR data of temperate coniferous forests: Relationship with leaf area index

Michael A. Spanner
, Lars L. Pierce
, Steven W. Running
, David L. Peterson

W. A. Franke College of Forestry and Conservation

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

167 Scopus citations

Abstract

Advanced Very High Resolution Radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration (NOAA)-9 satellite were acquired of the western United States from March 1986 to November 1987. Monthly maximum value composites of AVHRR normalized difference vegetation index (NDVI) [(near infrared - visible)/(near infrared + visible)] were calculated for 19 coniferous forest stands in Oregon, Washington, Montana, and California. The leaf area index (LAI) of the conifer forests explained 70% and 79% of the variation of the summer maximum AVHRR NDVI in July 1986 and July 1987, respectively. The seasonal variation of NDVI was related to phenological changes in LAI, as well as the proportion of surface cover types contributing to the overall reflectance. The varying solar zenith angles in the summer and winter months complicated analyses of the seasonal differences in LAI of the forest stands by reducing NDVI values in the winter months. It is concluded that AVHRR NDVI data from July were related to the seasonal maximum leaf area index of coniferous forests of the western United States, and that seasonal differences in the AVHRR NDVI were related to: a) phenological changes in LAI caused by climate, b) the proportions of surface cover types contributing to the overall reflectance, and c) large variations in the solar zenith angle.

Original language	English
Pages (from-to)	97-112
Number of pages	16
Journal	Remote Sensing of Environment
Volume	33
Issue number	2
DOIs	https://doi.org/10.1016/0034-4257(90)90036-L
State	Published - Aug 1990

Funding

The authors gratefully acknowledge the efforts of Kurt Teuber, Scott McLeod, and Chris Hathaway of the School of Forestry at the University of Montana for their assistance in the collection of the field data, and Ernest Daghir of the NOAA National Weather Service Field Station in Redwood City, Californiaf or assistance in the acquisition of the AVHRR data used in this study. We also acknowledge the staff at Mt. Rainier National Park for allowing the collection of field data at Mt. Rainier National Park. We thank Samuel Goward, Paul Curran, and Jennifer Dungan for review of the draft manuscript. This research was supported by Grant No. 199-30-72-08 from the NASA Life Sciences Division Biospherics Research Program and Ames Joint Research Interchange NCA2-138 with the University of Montana.

Funder number
NCA2-138

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1016/0034-4257(90)90036-L

Cite this

@article{9a44ed95a8694c82a7ddef5984d9dbd7,

title = "The seasonality of AVHRR data of temperate coniferous forests: Relationship with leaf area index",

abstract = "Advanced Very High Resolution Radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration (NOAA)-9 satellite were acquired of the western United States from March 1986 to November 1987. Monthly maximum value composites of AVHRR normalized difference vegetation index (NDVI) [(near infrared - visible)/(near infrared + visible)] were calculated for 19 coniferous forest stands in Oregon, Washington, Montana, and California. The leaf area index (LAI) of the conifer forests explained 70\% and 79\% of the variation of the summer maximum AVHRR NDVI in July 1986 and July 1987, respectively. The seasonal variation of NDVI was related to phenological changes in LAI, as well as the proportion of surface cover types contributing to the overall reflectance. The varying solar zenith angles in the summer and winter months complicated analyses of the seasonal differences in LAI of the forest stands by reducing NDVI values in the winter months. It is concluded that AVHRR NDVI data from July were related to the seasonal maximum leaf area index of coniferous forests of the western United States, and that seasonal differences in the AVHRR NDVI were related to: a) phenological changes in LAI caused by climate, b) the proportions of surface cover types contributing to the overall reflectance, and c) large variations in the solar zenith angle.",

author = "Spanner, \{Michael A.\} and Pierce, \{Lars L.\} and Running, \{Steven W.\} and Peterson, \{David L.\}",

year = "1990",

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doi = "10.1016/0034-4257(90)90036-L",

language = "English",

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pages = "97--112",

journal = "Remote Sensing of Environment",

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T1 - The seasonality of AVHRR data of temperate coniferous forests

T2 - Relationship with leaf area index

AU - Spanner, Michael A.

AU - Pierce, Lars L.

AU - Running, Steven W.

AU - Peterson, David L.

PY - 1990/8

Y1 - 1990/8

N2 - Advanced Very High Resolution Radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration (NOAA)-9 satellite were acquired of the western United States from March 1986 to November 1987. Monthly maximum value composites of AVHRR normalized difference vegetation index (NDVI) [(near infrared - visible)/(near infrared + visible)] were calculated for 19 coniferous forest stands in Oregon, Washington, Montana, and California. The leaf area index (LAI) of the conifer forests explained 70% and 79% of the variation of the summer maximum AVHRR NDVI in July 1986 and July 1987, respectively. The seasonal variation of NDVI was related to phenological changes in LAI, as well as the proportion of surface cover types contributing to the overall reflectance. The varying solar zenith angles in the summer and winter months complicated analyses of the seasonal differences in LAI of the forest stands by reducing NDVI values in the winter months. It is concluded that AVHRR NDVI data from July were related to the seasonal maximum leaf area index of coniferous forests of the western United States, and that seasonal differences in the AVHRR NDVI were related to: a) phenological changes in LAI caused by climate, b) the proportions of surface cover types contributing to the overall reflectance, and c) large variations in the solar zenith angle.

AB - Advanced Very High Resolution Radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration (NOAA)-9 satellite were acquired of the western United States from March 1986 to November 1987. Monthly maximum value composites of AVHRR normalized difference vegetation index (NDVI) [(near infrared - visible)/(near infrared + visible)] were calculated for 19 coniferous forest stands in Oregon, Washington, Montana, and California. The leaf area index (LAI) of the conifer forests explained 70% and 79% of the variation of the summer maximum AVHRR NDVI in July 1986 and July 1987, respectively. The seasonal variation of NDVI was related to phenological changes in LAI, as well as the proportion of surface cover types contributing to the overall reflectance. The varying solar zenith angles in the summer and winter months complicated analyses of the seasonal differences in LAI of the forest stands by reducing NDVI values in the winter months. It is concluded that AVHRR NDVI data from July were related to the seasonal maximum leaf area index of coniferous forests of the western United States, and that seasonal differences in the AVHRR NDVI were related to: a) phenological changes in LAI caused by climate, b) the proportions of surface cover types contributing to the overall reflectance, and c) large variations in the solar zenith angle.

UR - https://www.scopus.com/pages/publications/0025662388

U2 - 10.1016/0034-4257(90)90036-L

DO - 10.1016/0034-4257(90)90036-L

M3 - Article

AN - SCOPUS:0025662388

SN - 0034-4257

VL - 33

SP - 97

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JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

IS - 2

ER -

The seasonality of AVHRR data of temperate coniferous forests: Relationship with leaf area index

Abstract

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UN SDGs

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