Obregon, A.; Gehrig-Downie, C.; Gradstein, S.R. & Bendix, J. (2014): <b>The potential distribution of tropical lowland cloud forest as revealed by a novel MODIS-based fog/low stratus night-time detection scheme.</b>. <i>Remote Sensing of Environment</i> <b>155</b>, 312–324.
Resource Description
Title:
The potential distribution of tropical lowland cloud forest as revealed by a novel MODIS-based fog/low stratus night-time detection scheme.
FOR816dw ID:
36
Publication Date:
2014-12-01
License and Usage Rights:
PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)
Resource Owner(s):
Individual:
Andre Obregon
Contact:
email:
webmaster <at> lcrs.de
Individual:
Christine Gehrig-Downie
Contact:
email:
webmaster <at> lcrs.de
Individual:
S. Robbert Gradstein
Contact:
email:
webmaster <at> lcrs.de
Individual:
Jörg Bendix
Contact:
email:
bendix <at> staff.uni-marburg.de
Deutschhausstraße 12
Room No. 02 A 48
35032 Marburg
Faculty of Geography
Germany
Abstract:
Fog is a crucial driver of epiphyte richness in tropical montane cloud forests but its spatial occurrence and role in tropical lowland areas is poorly understood. Recent studies in French Guiana have reported high epiphyte richness in previously undescribed “tropical lowland cloud forest” (LCF) due to radiation fog. Here, we analyze the spatial extent of fog/low stratus (FLS) in lowland forests of French Guiana using the frequency distribution by means of night-time MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data for the years 2007–2010. The analysis is based on a newly developed dynamic threshold-test method relying on brightness temperature differences between thermal and mid-infrared bands. Individual thresholds for the discrimination between fog/low stratus and cloud-free pixels were retrieved by radiative transfer calculations and validated using discriminant analysis. The thresholds dynamically depend on total precipitable water (TPW) and the terrain-induced maximum possible sub-pixel fog coverage. The results of the new retrieval were validated using in-situ data and compared to results from existing fog detection algorithms, showing an improvement of the new detection scheme regarding the capability to detect sub-pixel fog coverage under varying TPW. FLS frequency maps derived from the novel fog classification scheme indicate a widespread distribution of night-time fog in river valleys, marking a multitude of potential areas for LCF throughout French Guiana. LCF is probably not only a local phenomenon but also may be widely distributed in river valleys in the lowland tropics, with significant consequences for biodiversity mapping in tropical lowland areas.
Keywords:
| Lowland cloud forest | Fog detection | MODIS | Epiphyte diversity |
Literature type specific fields:
ARTICLE
Journal:
Remote Sensing of Environment
Volume:
155
Page Range:
312–324
Metadata Provider:
Individual:
Maik Dobbermann
Contact:
email:
dobberma <at> staff.uni-marburg.de
35039 Marburg
Deutschland
Germany
