| |
| DOI: | 10.1007/s11252-005-4867-7 |
|---|
| Web URL(s): | https://link.springer.com/content/pdf/10.1007%2Fs11252-005-4867-7.pdf
Last checked: 10/04/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Xiao, Qingfu;
McPherson, E. Gregory |
|---|
| Author Affiliation: | Xiao: Department of Land, Air, and Water Resources, University of California, Davis; McPherson: Center for Urban Forest Research, Pacific Southwest Research Station, USDA Forest Service |
|---|
| Title: | Tree health mapping with multispectral remote sensing data at UC Davis, California |
|---|
| Source: | Urban Ecosystems. Vol. 8, No. 3-4, December 2005, p. 349-361. |
|---|
| Publishing Information: | Andover, Hants U.K.: Chapman and Hall |
|---|
| # of Pages: | 13 |
|---|
| Related Web URL: | https://link.springer.com/article/10.1007%2Fs11252-005-4867-7
Last checked: 10/04/2017
Notes: Abstract only |
|---|
| Keywords: | TIC Keywords: Multispectral analysis; Normalized Difference Vegetation Index; Percent living ground cover; Remote sensing; Tree maintenance; Tree surveys; Urban forestry
|
|---|
| Abstract/Contents: | "Tree health is a critical parameter for evaluating urban ecosystem health and sustainability. Traditionally, this parameter has been derived from field surveys. We used multispectral remote sensing data and GIS techniques to determine tree health at the University of California, Davis. The study area (363 ha) contained 8,962 trees of 215 species. Tree health conditions were mapped for each physiognomic type at two scales: pixel and whole tree. At the pixel scale, each tree pixel within the tree crown was classified as either healthy or unhealthy based on vegetation index values. At the whole tree scale, raster based statistical analysis was used to calculate tree health index which is the ratio of healthy pixels to entire tree pixels within the tree crown. The tree was classified as healthy if the index was greater than 70%. Accuracy was checked against a random sample of 1,186 trees. At the whole tree level, 86% of campus trees were classified as healthy with 88% mapping accuracy. At the pixel level, 86% of the campus tree cover was classified as healthy. This tree health evaluation approach allows managers to identify the location of unhealthy trees for further diagnosis and treatment. It can be used to track the spread of disease and monitor seasonal or annual changes in tree health. Also, it provides tree health information that is fundamental to modeling and analysis of the environmental, social, and economic services produced by urban forests." |
|---|
| Language: | English |
|---|
| References: | 18 |
|---|
| Note: | Pictures, color
Figures
Tables |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Xiao, Q., and E. G. McPherson. 2005. Tree health mapping with multispectral remote sensing data at UC Davis, California. Urban Ecosystems. 8(3-4):p. 349-361. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=168710 |
| If there are problems with this record, send us feedback about record 168710. |
| Choices for finding the above item: |
|---|
| DOI: 10.1007/s11252-005-4867-7 |
| Web URL(s):
https://link.springer.com/content/pdf/10.1007%2Fs11252-005-4867-7.pdf
Last checked: 10/04/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: b4896713 |
| Find from within TIC:
Digitally in TIC by record number. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
