The influence of epiphylls on remote sensing of humid forests
Epiphylls - lichens, fungi, liverworts, etc. infesting leaf surfaces - are found throughout humid forests of the world. It is well understood that epiphylls inhibit light interception by host plants, but their effect on remote sensing of colonized forests has not been examined. Incorporating leaf-le...
| Autor principal: | Toomey, Michael P. |
|---|---|
| Outros Autores: | Roberts, Dar A., Nelson, Bruce Walker |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Remote Sensing of Environment
2020
|
| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18420 |
| id |
oai:repositorio:1-18420 |
|---|---|
| recordtype |
dspace |
| spelling |
oai:repositorio:1-18420 The influence of epiphylls on remote sensing of humid forests Toomey, Michael P. Roberts, Dar A. Nelson, Bruce Walker Amazon Caatinga Canopy Reflectance Modeling Epifoliar Fungi Epiphylls Evi Modis Terra Firme Biomass Forestry Fungi Geologic Models Infrared Devices Reflection Remote Sensing Spectrometers Vegetation Biomass Caatinga Canopy Architecture Canopy Reflectance Epiphyte Fungus Humid Environment Leaf Area Index Lichen Liverwort Modis Ndvi Time Series Vegetation Cover Forests Fungi Humidification Infrared Radiation Leaves Plants Reflection Remote Sensing Amazonia South America Fungi Marchantiophyta Epiphylls - lichens, fungi, liverworts, etc. infesting leaf surfaces - are found throughout humid forests of the world. It is well understood that epiphylls inhibit light interception by host plants, but their effect on remote sensing of colonized forests has not been examined. Incorporating leaf-level spectra from Terra Firme (primary forest) and Amazonian Caatinga (woodlands/forest growing on nutrient-deficient sandy soils), we used the GeoSAIL model to propagate leaf-level measurements to the canopy level and determine their effect on commonly used vegetation indices. In Caatinga, moderate infestations (50% leaf area epiphyll cover), lowered simulated Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) values by 6.1% and 20.4%, respectively, largely due to near infrared dampening. Heavy infestation (100% cover) simulations exhibited decreases 1.5-2 times greater than those of moderate infestations. For Terra Firme, which are generally less affected by epiphylls, moderate (20% leaf area) and heavy infestations (40%) lowered EVI by 4.4% (S.D. 0.8%) and 8.1% (S.D. 1.5%), respectively. Near infrared and green reflectance were most affected at the canopy level, showing mean decreases of 10.6% (S.D. 2.25%) and 9.5% (S.D. 3.49%), respectively, in heavy Terra Firme infestations. Time series of Moderate Resolution Imaging Spectrometer (MODIS) data corroborated the modeling results, suggesting a degree of coupling between epiphyll cover and the EVI and NDVI. These results suggest that, without explicit consideration of the presence of epiphylls, remote sensing-based methodologies may underestimate leaf area index, biomass and productivity in humid forests. © 2009 Elsevier Inc. All rights reserved. 2020-06-15T21:54:47Z 2020-06-15T21:54:47Z 2009 Artigo https://repositorio.inpa.gov.br/handle/1/18420 10.1016/j.rse.2009.04.002 en Volume 113, Número 8, Pags. 1787-1798 Restrito Remote Sensing of Environment |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Amazon Caatinga Canopy Reflectance Modeling Epifoliar Fungi Epiphylls Evi Modis Terra Firme Biomass Forestry Fungi Geologic Models Infrared Devices Reflection Remote Sensing Spectrometers Vegetation Biomass Caatinga Canopy Architecture Canopy Reflectance Epiphyte Fungus Humid Environment Leaf Area Index Lichen Liverwort Modis Ndvi Time Series Vegetation Cover Forests Fungi Humidification Infrared Radiation Leaves Plants Reflection Remote Sensing Amazonia South America Fungi Marchantiophyta |
| spellingShingle |
Amazon Caatinga Canopy Reflectance Modeling Epifoliar Fungi Epiphylls Evi Modis Terra Firme Biomass Forestry Fungi Geologic Models Infrared Devices Reflection Remote Sensing Spectrometers Vegetation Biomass Caatinga Canopy Architecture Canopy Reflectance Epiphyte Fungus Humid Environment Leaf Area Index Lichen Liverwort Modis Ndvi Time Series Vegetation Cover Forests Fungi Humidification Infrared Radiation Leaves Plants Reflection Remote Sensing Amazonia South America Fungi Marchantiophyta Toomey, Michael P. The influence of epiphylls on remote sensing of humid forests |
| topic_facet |
Amazon Caatinga Canopy Reflectance Modeling Epifoliar Fungi Epiphylls Evi Modis Terra Firme Biomass Forestry Fungi Geologic Models Infrared Devices Reflection Remote Sensing Spectrometers Vegetation Biomass Caatinga Canopy Architecture Canopy Reflectance Epiphyte Fungus Humid Environment Leaf Area Index Lichen Liverwort Modis Ndvi Time Series Vegetation Cover Forests Fungi Humidification Infrared Radiation Leaves Plants Reflection Remote Sensing Amazonia South America Fungi Marchantiophyta |
| description |
Epiphylls - lichens, fungi, liverworts, etc. infesting leaf surfaces - are found throughout humid forests of the world. It is well understood that epiphylls inhibit light interception by host plants, but their effect on remote sensing of colonized forests has not been examined. Incorporating leaf-level spectra from Terra Firme (primary forest) and Amazonian Caatinga (woodlands/forest growing on nutrient-deficient sandy soils), we used the GeoSAIL model to propagate leaf-level measurements to the canopy level and determine their effect on commonly used vegetation indices. In Caatinga, moderate infestations (50% leaf area epiphyll cover), lowered simulated Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) values by 6.1% and 20.4%, respectively, largely due to near infrared dampening. Heavy infestation (100% cover) simulations exhibited decreases 1.5-2 times greater than those of moderate infestations. For Terra Firme, which are generally less affected by epiphylls, moderate (20% leaf area) and heavy infestations (40%) lowered EVI by 4.4% (S.D. 0.8%) and 8.1% (S.D. 1.5%), respectively. Near infrared and green reflectance were most affected at the canopy level, showing mean decreases of 10.6% (S.D. 2.25%) and 9.5% (S.D. 3.49%), respectively, in heavy Terra Firme infestations. Time series of Moderate Resolution Imaging Spectrometer (MODIS) data corroborated the modeling results, suggesting a degree of coupling between epiphyll cover and the EVI and NDVI. These results suggest that, without explicit consideration of the presence of epiphylls, remote sensing-based methodologies may underestimate leaf area index, biomass and productivity in humid forests. © 2009 Elsevier Inc. All rights reserved. |
| format |
Artigo |
| author |
Toomey, Michael P. |
| author2 |
Roberts, Dar A. Nelson, Bruce Walker |
| author2Str |
Roberts, Dar A. Nelson, Bruce Walker |
| title |
The influence of epiphylls on remote sensing of humid forests |
| title_short |
The influence of epiphylls on remote sensing of humid forests |
| title_full |
The influence of epiphylls on remote sensing of humid forests |
| title_fullStr |
The influence of epiphylls on remote sensing of humid forests |
| title_full_unstemmed |
The influence of epiphylls on remote sensing of humid forests |
| title_sort |
influence of epiphylls on remote sensing of humid forests |
| publisher |
Remote Sensing of Environment |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/18420 |
| _version_ |
1787142608279044096 |
| score |
11.755432 |